add configs for docker env
This commit is contained in:
parent
6033a0a743
commit
c829732af0
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[
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{
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"name": "Elastic Cluster Red status",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 0,
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"prom_ql": " elasticsearch_cluster_health_status{color=\"red\"} == 1",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchClusterRed"
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]
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},
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{
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"name": "Elastic Cluster Yellow status",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 0,
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"prom_ql": "elasticsearch_cluster_health_status{color=\"yellow\"} == 1",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchClusterYellow"
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]
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},
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{
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"name": "Elasticsearch disk out of space of the instance",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 120,
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"prom_ql": "elasticsearch_filesystem_data_available_bytes / elasticsearch_filesystem_data_size_bytes * 100 < 10",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchDiskOutOfSpace"
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]
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},
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{
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"name": "Elasticsearch disk space low of the instance",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 120,
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"prom_ql": "elasticsearch_filesystem_data_available_bytes / elasticsearch_filesystem_data_size_bytes * 100 < 20",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchDiskSpaceLow"
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]
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},
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{
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"name": "Elasticsearch Heap Usage Too High of the instance",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 120,
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"prom_ql": "(elasticsearch_jvm_memory_used_bytes{area=\"heap\"} / elasticsearch_jvm_memory_max_bytes{area=\"heap\"}) * 100 > 90",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchHeapUsageTooHigh"
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]
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},
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{
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"name": "Elasticsearch Heap Usage warning of the instance",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 120,
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"prom_ql": "(elasticsearch_jvm_memory_used_bytes{area=\"heap\"} / elasticsearch_jvm_memory_max_bytes{area=\"heap\"}) * 100 > 80",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchHeapUsageWarning"
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]
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},
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{
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"name": "Elasticsearch initializing shards of the instance",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 900,
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"prom_ql": "elasticsearch_cluster_health_initializing_shards > 0",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchInitializingShards"
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]
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},
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{
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"name": "Elasticsearch no new documents of the instance",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 300,
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"prom_ql": "rate(elasticsearch_indices_docs{es_data_node=\"true\"}[5m]) == 0",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchNoNewDocuments"
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]
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},
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{
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"name": "Elasticsearch pending tasks of the instance",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 900,
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"prom_ql": "elasticsearch_cluster_health_number_of_pending_tasks > 0",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchPendingTasks"
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]
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},
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{
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"name": "Elasticsearch relocation shards of the instance",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 900,
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"prom_ql": "elasticsearch_cluster_health_relocating_shards > 0",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchRelocationShards"
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]
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},
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{
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"name": "Elasticsearch unassigned shards of the instance",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 0,
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"prom_ql": "elasticsearch_cluster_health_unassigned_shards > 0",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchUnassignedShards"
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]
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},
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{
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"name": "Elasticsearch Unhealthy Data Nodes",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 0,
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"prom_ql": "elasticsearch_cluster_health_number_of_data_nodes < number_of_data_nodes",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchHealthyDataNodes"
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]
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},
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{
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"name": "Elasticsearch Unhealthy Nodes",
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"note": "",
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"severity": 1,
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"disabled": 0,
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"prom_for_duration": 0,
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"prom_ql": " elasticsearch_cluster_health_number_of_nodes < number_of_nodes",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": [
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"alertname=ElasticsearchHealthyNodes"
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]
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}
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]
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[
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{
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"name": "数据有丢失风险-同步副本数小于3",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 60,
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"prom_ql": "sum(kafka_topic_partition_in_sync_replica) by (topic) < 3",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": []
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},
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{
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"name": "消费能力不足-积压消息数超过50条",
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"note": "",
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"severity": 2,
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"disabled": 0,
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"prom_for_duration": 60,
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"prom_ql": "sum(kafka_topic_partition_current_offset{instance=\"$instance\"}) by (topic) - sum(kafka_consumergroup_current_offset{instance=\"$instance\"}) by (topic) ",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": []
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}
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]
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@ -0,0 +1,344 @@
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[
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{
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"name": "inode资源不足-使用率超过90",
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"note": "",
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"severity": 2,
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"disabled": 1,
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"prom_for_duration": 60,
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"prom_ql": "(100 - ((node_filesystem_files_free * 100) / node_filesystem_files))>90",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [],
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"notify_repeat_step": 60,
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"recover_duration": 0,
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"callbacks": [],
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"runbook_url": "",
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"append_tags": []
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},
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{
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"name": "内存资源不足-利用率大于75%",
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"note": "需要扩容或者升级配置了",
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"severity": 2,
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"disabled": 1,
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"prom_for_duration": 60,
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"prom_ql": "(node_memory_MemTotal_bytes - node_memory_MemFree_bytes - (node_memory_Cached_bytes + node_memory_Buffers_bytes))/node_memory_MemTotal_bytes*100 > 75",
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"prom_eval_interval": 15,
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"enable_stime": "00:00",
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||||
"enable_etime": "23:59",
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"enable_days_of_week": [
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"1",
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"2",
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"3",
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"4",
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"5",
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"6",
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"0"
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],
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"enable_in_bg": 0,
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"notify_recovered": 1,
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"notify_channels": [
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||||
"dingtalk"
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],
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"notify_repeat_step": 60,
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||||
"recover_duration": 0,
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||||
"callbacks": [],
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"runbook_url": "",
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"append_tags": []
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},
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{
|
||||
"name": "内存资源不足-利用率大于95%",
|
||||
"note": "需要扩容或者升级配置了",
|
||||
"severity": 1,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "(node_memory_MemTotal_bytes - node_memory_MemFree_bytes - (node_memory_Cached_bytes + node_memory_Buffers_bytes))/node_memory_MemTotal_bytes*100 > 95",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"dingtalk"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "文件句柄不足-使用率超过90%",
|
||||
"note": "可以将文件句柄limit调大,或者扩容",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "(node_filefd_allocated{instance=\"$node\"}/node_filefd_maximum{instance=\"$node\"}*100) > 90",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "某磁盘无法正常读写",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "(node_filesystem_device_error{instance=\"$node\",mountpoint!~\"/var/lib/.*\",mountpoint!~\"/run.*\"}) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "磁盘需要清理了-利用率达到92%",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "(100 - ((node_filesystem_avail_bytes * 100) / node_filesystem_size_bytes) ) > 92 ",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"dingtalk"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "系统conntrack需要调整-使用率超过80%",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "node_nf_conntrack_entries / node_nf_conntrack_entries_limit*100 > 80",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "系统出现oom",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "increase(node_vmstat_oom_kill[1m]) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "网卡入方向丢包",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "rate(node_network_receive_drop_total{device=~\"e.*\"}[1m]) > 3",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "网卡出方向丢包",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "rate(node_network_transmit_drop_total{device=~\"e.*\"}[1m]) > 3",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "计算资源不足-机器每个核平均负载大于10",
|
||||
"note": "需要扩容或者升级配置了",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "avg (node_load1) by (instance)/count(count(node_cpu_seconds_total) by (cpu,instance)) by (instance) >10",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "运行进程数过多-超过3000",
|
||||
"note": "建议扩容",
|
||||
"severity": 2,
|
||||
"disabled": 1,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "node_procs_running > 3000",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
}
|
||||
]
|
|
@ -0,0 +1,393 @@
|
|||
[
|
||||
{
|
||||
"name": "有地址PING不通,请注意",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "ping_result_code != 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "有监控对象失联",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "target_up != 1",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "有端口探测失败,请注意",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "net_response_result_code != 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "机器负载-CPU较高,请关注",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "cpu_usage_idle{cpu=\"cpu-total\"} < 25",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "机器负载-内存较高,请关注",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "mem_available_percent < 25",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "硬盘-IO非常繁忙",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "rate(diskio_io_time[1m])/10 > 99",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "硬盘-预计再有4小时写满",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "predict_linear(disk_free[1h], 4*3600) < 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "网卡-入向有丢包",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "increase(net_drop_in[1m]) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "网卡-出向有丢包",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "increase(net_drop_out[1m]) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "网络连接-TME_WAIT数量超过2万",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "netstat_tcp_time_wait > 20000",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "进程监控-有进程数为0,某进程可能挂了",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "procstat_lookup_running == 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "进程监控-进程句柄限制过小",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "procstat_rlimit_num_fds_soft < 2048",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "进程监控-采集失败",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "procstat_lookup_result_code != 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [
|
||||
"email",
|
||||
"dingtalk",
|
||||
"wecom"
|
||||
],
|
||||
"notify_repeat_step": 60,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
}
|
||||
]
|
||||
|
|
@ -0,0 +1,242 @@
|
|||
[
|
||||
{
|
||||
"name": "Mongo出现Assert错误",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 1800,
|
||||
"prom_ql": "rate(mongodb_asserts_total{type=~\"regular|message\"}[5m]) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoAssertsDetected"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo出现游标超时",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 1800,
|
||||
"prom_ql": "rate(mongodb_mongod_metrics_cursor_timed_out_total[5m]) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoRecurrentCursorTimeout"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo出现页错误中断",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 1800,
|
||||
"prom_ql": "rate(mongodb_extra_info_page_faults_total[5m]) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoRecurrentMemoryPageFaults"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo刚刚有重启,请注意",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 0,
|
||||
"prom_ql": "mongodb_instance_uptime_seconds < 60",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoRestarted"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo副本集主从延迟超过30s",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "mongodb_mongod_replset_member_replication_lag > 30",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoSlaveReplicationLag(>30s)"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo实例挂了",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 0,
|
||||
"prom_ql": "MongoServerDown",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoServerDown"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo操作平均耗时超过250秒",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 600,
|
||||
"prom_ql": "rate(mongodb_mongod_op_latencies_latency_total[5m]) / rate(mongodb_mongod_op_latencies_ops_total[5m]) > 250000",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoOperationHighLatency"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Mongo连接数已超过80%",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 120,
|
||||
"prom_ql": "avg by (instance) (mongodb_connections{state=\"current\"}) / avg by (instance) (mongodb_connections{state=\"available\"}) * 100 > 80",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=MongoTooManyConnections(>80%)"
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,92 @@
|
|||
[
|
||||
{
|
||||
"name": "Process X high number of open files",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "avg by (instance) (namedprocess_namegroup_worst_fd_ratio{groupname=\"X\"}) * 100 > 80",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=ProcessHighOpenFiles"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Process X is down",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 0,
|
||||
"prom_ql": "sum by (instance) (namedprocess_namegroup_num_procs{groupname=\"X\"}) == 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=ProcessNotRunning"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Process X is restarted",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 0,
|
||||
"prom_ql": "namedprocess_namegroup_oldest_start_time_seconds{groupname=\"X\"} > time() - 60 ",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=ProcessRestarted"
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,182 @@
|
|||
[
|
||||
{
|
||||
"name": "CPU利用率高",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "100 * sum by (instance) (rate(windows_cpu_time_total{mode != 'idle'}[5m])) / count by (instance) (windows_cpu_core_frequency_mhz) > 80",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=HighCPUUsage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "机器在15分钟内发生过重启",
|
||||
"note": "",
|
||||
"severity": 3,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "time() - windows_system_system_up_time < 900",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"recover_duration": 0,
|
||||
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|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=UpTimeLessThan15Min"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "物理内存使用率过高",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "100 * (windows_cs_physical_memory_bytes - windows_os_physical_memory_free_bytes) / windows_cs_physical_memory_bytes > 80",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=HighPhysicalMemoryUsage"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "硬盘快要写满了,注意",
|
||||
"note": "",
|
||||
"severity": 1,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "100 * (windows_logical_disk_size_bytes - windows_logical_disk_free_bytes) / windows_logical_disk_size_bytes > 90",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
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|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=LogicalDiskFull"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "系统有In方向丢包情况出现",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "100 * rate(windows_net_packets_received_errors[5m]) / (rate(windows_net_packets_received_errors[5m]) + rate(windows_net_packets_received_total[5m])>0) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=HighInboundErrorRate"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "系统有Out方向丢包情况出现",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "100 * rate(windows_net_packets_outbound_errors[5m]) / (rate(windows_net_packets_outbound_errors[5m]) + rate(windows_net_packets_sent_total[5m])>0) > 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": [
|
||||
"alertname=HighOutboundErrorRate"
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,114 @@
|
|||
[
|
||||
{
|
||||
"name": "Zookeeper leader 个数大于1",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "sum(zk_server_leader) > 1",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "Zookeeper 实例运行异常",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "zk_ruok == 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "Zookeeper 没有 leader 了",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "sum(zk_server_leader) == 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
},
|
||||
{
|
||||
"name": "Zookeeper 挂掉了",
|
||||
"note": "",
|
||||
"severity": 2,
|
||||
"disabled": 0,
|
||||
"prom_for_duration": 60,
|
||||
"prom_ql": "zk_up == 0",
|
||||
"prom_eval_interval": 15,
|
||||
"enable_stime": "00:00",
|
||||
"enable_etime": "23:59",
|
||||
"enable_days_of_week": [
|
||||
"1",
|
||||
"2",
|
||||
"3",
|
||||
"4",
|
||||
"5",
|
||||
"6",
|
||||
"0"
|
||||
],
|
||||
"enable_in_bg": 0,
|
||||
"notify_recovered": 1,
|
||||
"notify_channels": [],
|
||||
"notify_repeat_step": 60,
|
||||
"recover_duration": 0,
|
||||
"callbacks": [],
|
||||
"runbook_url": "",
|
||||
"append_tags": []
|
||||
}
|
||||
]
|
|
@ -0,0 +1,431 @@
|
|||
[
|
||||
{
|
||||
"name": "ElasticSearch - 模板",
|
||||
"tags": "Prometheus ElasticSearch ES",
|
||||
"configs": "{\"var\":[{\"name\":\"cluster\",\"definition\":\"label_values(elasticsearch_indices_docs,cluster)\",\"options\":[\"elasticsearch-cluster\"]},{\"name\":\"instance\",\"definition\":\"label_values(elasticsearch_indices_docs{cluster=\\\"$cluster\\\", name!=\\\"\\\"},instance)\",\"options\":[\"10.206.0.7:9200\"]},{\"name\":\"name\",\"definition\":\"label_values(elasticsearch_indices_docs{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\", name!=\\\"\\\"},name)\",\"options\":[\"node-2\",\"node-1\",\"node-3\"],\"multi\":true,\"allOption\":true}]}",
|
||||
"chart_groups": [
|
||||
{
|
||||
"name": "KPI",
|
||||
"weight": 0,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_number_of_nodes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Data Nodes\",\"description\":\"集群数据节点数量\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":6,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_number_of_nodes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Nodes\",\"description\":\"集群节点数量\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":3,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"sum (elasticsearch_process_cpu_percent{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"} ) / count (elasticsearch_process_cpu_percent{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"} )\"}],\"name\":\"CPU usage Avg\",\"description\":\"平均CPU使用率\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"special\":80,\"from\":80},\"result\":{\"color\":\"#f90606\"}},{\"type\":\"range\",\"match\":{\"special\":70,\"from\":70},\"result\":{\"color\":\"#f5ac0f\"}},{\"type\":\"range\",\"match\":{\"to\":70},\"result\":{\"color\":\"#21c00c\"}}],\"standardOptions\":{\"util\":\"percent\"}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":9,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"sum (elasticsearch_jvm_memory_used_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}) / sum (elasticsearch_jvm_memory_max_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}) * 100\"}],\"name\":\"JVM memory used Avg\",\"description\":\"平均JVM内存使用率\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"special\":80,\"from\":80},\"result\":{\"color\":\"#f12c09\"}},{\"type\":\"range\",\"match\":{\"from\":70,\"to\":80},\"result\":{\"color\":\"#fbca18\"}},{\"type\":\"range\",\"match\":{\"to\":70},\"result\":{\"color\":\"#21c00c\"}}],\"standardOptions\":{\"util\":\"percent\"}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":12,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"sum (elasticsearch_process_open_files_count{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"})\"}],\"name\":\"Open file descriptors\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":15,\"y\":0,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"sum(elasticsearch_breakers_tripped{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"})\"}],\"name\":\"Tripped for breakers\",\"description\":\"集群断路器阻断总数\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"special\",\"result\":{\"text\":\"\",\"color\":\"#21c00c\"},\"match\":{\"special\":0}}],\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":18,\"y\":0,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_number_of_pending_tasks{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Pending tasks\",\"description\":\"等待执行的集群变更任务数量\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"from\":5},\"result\":{\"color\":\"#f24207\"}},{\"type\":\"range\",\"match\":{\"from\":1,\"to\":5},\"result\":{\"color\":\"#f9a006\"}},{\"type\":\"range\",\"match\":{\"to\":1},\"result\":{\"color\":\"#21c00c\"}}],\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":21,\"y\":0,\"i\":\"6\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_status{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",color=\\\"red\\\"}==1 or (elasticsearch_cluster_health_status{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",color=\\\"green\\\"}==1)+4 or (elasticsearch_cluster_health_status{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",color=\\\"yellow\\\"}==1)+2\"}],\"name\":\"Cluster health\",\"description\":\"绿色:健康,黄色:存在副本分片异常,红色:存在主分片异常\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"special\",\"result\":{\"text\":\"N/A\"},\"match\":{}},{\"type\":\"special\",\"match\":{\"special\":5},\"result\":{\"text\":\"Green\",\"color\":\"#21c00c\"}},{\"type\":\"special\",\"match\":{\"special\":3},\"result\":{\"text\":\"Yellow\",\"color\":\"#f9e406\"}},{\"type\":\"special\",\"match\":{\"special\":1},\"result\":{\"text\":\"Red\",\"color\":\"#f43606\"}}],\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":0,\"y\":0,\"i\":\"7\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Shards",
|
||||
"weight": 1,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_active_shards{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Active shards\",\"description\":\"活跃分片数\\nAggregate total of all shards across all indices, which includes replica shards\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":4,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_active_primary_shards{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Active primary shards\",\"description\":\"活跃主分片数\\nThe number of primary shards in your cluster. This is an aggregate total across all indices.\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":4,\"x\":4,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_initializing_shards{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Initializing shards\",\"description\":\"创建中分片数量\\nCount of shards that are being freshly created\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":4,\"x\":8,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_relocating_shards{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Relocating shards\",\"description\":\"迁移中分片数量\\nThe number of shards that are currently moving from one node to another node.\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":4,\"x\":12,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_unassigned_shards{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Unassigned shards\",\"description\":\"未分配的分片数量\\nThe number of shards that exist in the cluster state, but cannot be found in the cluster itself\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":4,\"x\":20,\"y\":0,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_cluster_health_delayed_unassigned_shards{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\"}\"}],\"name\":\"Delayed shards\",\"description\":\"暂缓分配的分片数量,当节点丢失,会发生选主和数据拷贝。为了较少网络抖动等原因导致的重分配情况,配置delay参数,该值为等待delay到期将被重分配的分片数量\\nShards delayed to reduce reallocation overhead\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":4,\"x\":16,\"y\":0,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "JVM Garbage Collection",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_jvm_gc_collection_seconds_count{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}} - {{gc}}\"}],\"name\":\"GC count\",\"description\":\"GC运行次数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_jvm_gc_collection_seconds_sum{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}} - {{gc}}\"}],\"name\":\"GC time\",\"description\":\"GC运行耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"seconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Translog",
|
||||
"weight": 3,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_translog_operations{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Total translog operations\",\"description\":\"translog大小(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"none\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_translog_size_in_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Total translog size in bytes\",\"description\":\"translog大小(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Breakers",
|
||||
"weight": 4,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_breakers_tripped{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"{{name}}: {{breaker}}\"}],\"name\":\"Tripped for breakers\",\"description\":\"节点断路器阻断总数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_breakers_estimated_size_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"{{name}}: {{breaker}}\"},{\"expr\":\"elasticsearch_breakers_limit_size_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"refId\":\"B\",\"legend\":\"{{name}}: limit for {{breaker}}\"}],\"name\":\"Estimated size in bytes of breaker\",\"description\":\"预估内存大小和限制内存大小\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Cpu and Memory",
|
||||
"weight": 5,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_os_load1{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"load1: {{name}}\"},{\"expr\":\"elasticsearch_os_load5{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"refId\":\"B\",\"legend\":\"load5: {{name}}\"},{\"expr\":\"elasticsearch_os_load15{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"refId\":\"C\",\"legend\":\"load15: {{name}}\"}],\"name\":\"Load average\",\"description\":\"1m/5m/15m系统负载\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_process_cpu_percent{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"{{name}}\"}],\"name\":\"CPU usage\",\"description\":\"进程CPU占比\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_jvm_memory_used_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"{{name}} used: {{area}}\"},{\"expr\":\"elasticsearch_jvm_memory_max_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"refId\":\"B\",\"legend\":\"{{name}} max: {{area}}\"},{\"expr\":\"elasticsearch_jvm_memory_pool_peak_used_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"refId\":\"C\",\"legend\":\"{{name}} peak used pool: {{pool}}\"}],\"name\":\"JVM memory usage\",\"description\":\"进程内存占用/限制/峰值(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":2,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_jvm_memory_committed_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"{{name}} committed: {{area}}\"},{\"expr\":\"elasticsearch_jvm_memory_max_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"refId\":\"B\",\"legend\":\"{{name}} max: {{area}}\"}],\"name\":\"JVM memory committed\",\"description\":\"JVM申请/限制内存(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Disk and Network",
|
||||
"weight": 6,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"1-(elasticsearch_filesystem_data_available_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}/elasticsearch_filesystem_data_size_bytes{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"})\",\"legend\":\"{{name}}: {{path}}\"}],\"name\":\"Disk usage\",\"description\":\"磁盘使用率\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percentUnit\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_transport_tx_size_bytes_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}: sent\"},{\"expr\":\"-irate(elasticsearch_transport_rx_size_bytes_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"refId\":\"B\",\"legend\":\"{{name}}: received\"}],\"name\":\"Network usage\",\"description\":\"网络流量(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesSI\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Documents",
|
||||
"weight": 7,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"elasticsearch_indices_docs{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}\",\"legend\":\"{{name}}\"}],\"name\":\"Documents count on node\",\"description\":\"节点文档总数,不包含已删除文档和子文档以及刚索引的文档\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_indexing_index_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Documents indexed rate\",\"description\":\"平均每秒索引文档数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_docs_deleted{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Documents deleted rate\",\"description\":\"平均每秒删除文档数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":2,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(elasticsearch_indices_merges_docs_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Documents merged rate\",\"description\":\"平均每秒合并文档数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_merges_total_size_bytes_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Documents merged bytes\",\"description\":\"平均每秒合并文档大小\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesSI\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Times",
|
||||
"weight": 8,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_search_query_time_seconds{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Query time\",\"description\":\"查询操作耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"seconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_indexing_index_time_seconds_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Indexing time\",\"description\":\"索引操作耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"seconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_merges_total_time_seconds_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Merging time\",\"description\":\"合并操作耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"seconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":2,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"irate(elasticsearch_indices_store_throttle_time_seconds_total{instance=\\\"$instance\\\",cluster=\\\"$cluster\\\",name=~\\\"$name\\\"}[5m])\",\"legend\":\"{{name}}\"}],\"name\":\"Throttle time for index store\",\"description\":\"索引存储限制耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"seconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Total Operations states",
|
||||
"weight": 9,
|
||||
"charts": [
|
||||
{
|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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"name": "Indices: Fixed bit",
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"name": "Indices: Norms",
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"weight": 0
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"name": "Indices: Points",
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"weight": 0
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"weight": 0
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||||
]
|
|
@ -0,0 +1,125 @@
|
|||
[
|
||||
{
|
||||
"name": "JMX - 模板",
|
||||
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|
||||
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"weight": 0
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||||
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{
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"weight": 0
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{
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"jvm_memory_pool_bytes_max{pool=\\\"Metaspace\\\", job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"legend\":\"Max\"},{\"expr\":\"jvm_memory_pool_bytes_used{pool=\\\"Metaspace\\\", job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"refId\":\"B\",\"legend\":\"Used\"},{\"expr\":\"jvm_memory_pool_bytes_committed{pool=\\\"Metaspace\\\", job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"refId\":\"C\",\"legend\":\"Committed\"}],\"name\":\"Metaspace\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":2,\"i\":\"7\"}}",
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"weight": 0
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||||
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||||
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||||
{
|
||||
"name": "GC",
|
||||
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|
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|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"increase(jvm_gc_collection_seconds_sum{job=\\\"$job\\\",instance=~\\\"$instance\\\"}[1m])\"}],\"name\":\"过去一分钟GC耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"none\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":0,\"i\":\"0\"}}",
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"weight": 0
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"increase(jvm_gc_collection_seconds_count{job=\\\"$job\\\",instance=\\\"$instance\\\"}[1m])\",\"legend\":\"\"}],\"name\":\"过去一分钟GC次数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"none\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":0,\"i\":\"1\"}}",
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"weight": 0
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"increase(jvm_gc_collection_seconds_sum{job=\\\"$job\\\",instance=\\\"$instance\\\"}[1m])/increase(jvm_gc_collection_seconds_count{job=\\\"$job\\\",instance=\\\"$instance\\\"}[1m])\",\"legend\":\"\"}],\"name\":\"过去一分钟每次GC平均耗时(秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"none\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"bars\",\"stack\":\"off\",\"fillOpacity\":1},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
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||||
"weight": 0
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}
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{
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"name": "Threads and Class loading",
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||||
"weight": 4,
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"charts": [
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{
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"jvm_threads_current{job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"legend\":\"current\"},{\"expr\":\"jvm_threads_daemon{job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"refId\":\"B\",\"legend\":\"daemon\"},{\"expr\":\"jvm_threads_deadlocked{job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"refId\":\"C\",\"legend\":\"deadlocked\"}],\"name\":\"Threads\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
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"weight": 0
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{
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||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"jvm_classes_loaded{job=\\\"$job\\\", instance=\\\"$instance\\\"}\"}],\"name\":\"Class loading\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
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||||
"weight": 0
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}
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{
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"name": "Physical memory",
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"weight": 5,
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{
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"os_total_physical_memory_bytes{job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"legend\":\"Total physical memory\"},{\"expr\":\"os_committed_virtual_memory_bytes{job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"refId\":\"B\",\"legend\":\"Committed virtual memory\"},{\"expr\":\"os_free_physical_memory_bytes{job=\\\"$job\\\",instance=\\\"$instance\\\"}\",\"refId\":\"C\",\"legend\":\"Free physical memory\"}],\"name\":\"Physical memory\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":24,\"x\":0,\"y\":0,\"i\":\"0\"}}",
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"weight": 0
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||||
}
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||||
]
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||||
}
|
||||
]
|
|
@ -0,0 +1,63 @@
|
|||
[
|
||||
{
|
||||
"name": "Kafka - 模板",
|
||||
"tags": "Kafka Prometheus ",
|
||||
"configs": "{\"var\":[{\"name\":\"instance\",\"definition\":\"label_values(kafka_brokers, instance)\"},{\"name\":\"job\",\"definition\":\"label_values(kafka_brokers, job)\"}]}",
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{
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"name": "overview",
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{
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"count(count by (topic) (kafka_topic_partitions))\"}],\"name\":\"topics\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":8,\"x\":8,\"y\":0,\"i\":\"0\"}}",
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||||
"weight": 0
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{
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"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"kafka_brokers\"}],\"name\":\"brokers\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":8,\"x\":0,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
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},
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{
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||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"sum(kafka_topic_partitions)\"}],\"name\":\"partitions\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
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"weight": 0
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}
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},
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{
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"name": "throughput",
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"charts": [
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{
|
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"configs": "{\"targets\":[{\"expr\":\"sum(rate(kafka_topic_partition_current_offset{instance=\\\"$instance\\\"}[1m])) by (topic)\"}],\"name\":\"Message in per second\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
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},
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{
|
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"configs": "{\"targets\":[{\"expr\":\"sum(kafka_consumer_lag_millis{instance=\\\"$instance\\\"}) by (consumergroup, topic) \",\"legend\":\"{{consumergroup}} (topic: {{topic}})\"}],\"name\":\"Latency by Consumer Group\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"humantimeMilliseconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":2,\"i\":\"1\"}}",
|
||||
"weight": 0
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},
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{
|
||||
"configs": "{\"targets\":[{\"expr\":\"sum(rate(kafka_consumergroup_current_offset{instance=\\\"$instance\\\"}[1m])) by (topic)\"}],\"name\":\"Message consume per second\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"sum(kafka_topic_partition_current_offset{instance=\\\"$instance\\\"}) by (topic) - sum(kafka_consumergroup_current_offset{instance=\\\"$instance\\\"}) by (topic) \",\"legend\":\"{{consumergroup}} (topic: {{topic}})\"}],\"name\":\"Lag by Consumer Group\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
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||||
}
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||||
]
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||||
},
|
||||
{
|
||||
"name": "patition/replicate",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"kafka_topic_partitions{instance=\\\"$instance\\\"}\",\"legend\":\"{{topic}}\"}],\"name\":\"Partitions per Topic\",\"custom\":{\"showHeader\":true,\"calc\":\"lastNotNull\",\"displayMode\":\"seriesToRows\"},\"options\":{\"standardOptions\":{}},\"overrides\":[{}],\"version\":\"2.0.0\",\"type\":\"table\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"kafka_topic_partition_under_replicated_partition\",\"legend\":\"{{topic}}-{{partition}}\"}],\"name\":\"Under Replicated\",\"description\":\"副本不同步预案\\n1. Restart the Zookeeper leader.\\n2. Restart the broker\\\\brokers that are not replicating some of the partitions.\",\"custom\":{\"showHeader\":true,\"calc\":\"lastNotNull\",\"displayMode\":\"seriesToRows\"},\"options\":{\"standardOptions\":{}},\"overrides\":[{}],\"version\":\"2.0.0\",\"type\":\"table\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
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||||
}
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||||
]
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||||
}
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,223 @@
|
|||
[
|
||||
{
|
||||
"name": "HOST - 模板",
|
||||
"tags": "Prometheus Host",
|
||||
"configs": "{\"var\":[{\"name\":\"node\",\"definition\":\"label_values(node_cpu_seconds_total, instance)\",\"selected\":\"$node\",\"options\":[\"tt-fc-es01.nj:12345\",\"tt-fc-es02.nj:12345\",\"tt-fc-dev01.nj:12345\",\"10.206.0.13:9100\"]}],\"links\":[{\"title\":\"n9e\",\"url\":\"https://n9e.gitee.io/\",\"targetBlank\":true},{\"title\":\"author\",\"url\":\"http://flashcat.cloud/\",\"targetBlank\":true}]}",
|
||||
"chart_groups": [
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||||
{
|
||||
"name": "整体概况",
|
||||
"weight": 0,
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||||
"charts": [
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||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10,100-(avg by (mode, instance)(rate(node_cpu_seconds_total{mode=\\\"idle\\\"}[1m])))*100)\",\"legend\":\"{{instance}}\"}],\"name\":\"cpu使用率 top10\",\"links\":[],\"description\":\"\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":9,\"x\":3,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
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||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10,(node_memory_MemTotal_bytes - node_memory_MemFree_bytes - (node_memory_Cached_bytes + node_memory_Buffers_bytes))/node_memory_MemTotal_bytes*100)\",\"legend\":\"{{instance}}\"}],\"name\":\"内存使用率 top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
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||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10,(node_filesystem_avail_bytes{device!~'rootfs', device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"} * 100) / node_filesystem_size_bytes{device!~'rootfs', device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"})\",\"legend\":\"{{instance}}-{{mountpoint}}\"}],\"name\":\"磁盘分区使用率 top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":12,\"x\":0,\"y\":1,\"i\":\"2\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10,rate(node_disk_io_time_seconds_total[5m]) * 100)\",\"legend\":\"{{instance}}-{{device}}\"}],\"name\":\"设备io util top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":12,\"x\":12,\"y\":1,\"i\":\"3\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"count(node_boot_time_seconds)\"}],\"name\":\"监控机器数\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":40}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":0,\"y\":0,\"i\":\"4\"}}",
|
||||
"weight": 0
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||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "单机概况",
|
||||
"weight": 1,
|
||||
"charts": [
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||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"(node_memory_MemTotal_bytes{instance=\\\"$node\\\"} - node_memory_MemFree_bytes{instance=\\\"$node\\\"} - (node_memory_Cached_bytes{instance=\\\"$node\\\"} + node_memory_Buffers_bytes{instance=\\\"$node\\\"}))/node_memory_MemTotal_bytes{instance=\\\"$node\\\"}*100\"}],\"name\":\"内存使用率\",\"description\":\"如果内存使用率超过50%,则需要扩容或者升级配置了\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":25}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"result\":{\"color\":\"#369903\"},\"match\":{\"from\":0,\"to\":50}},{\"type\":\"range\",\"match\":{\"from\":50,\"to\":100},\"result\":{\"color\":\"#e3170d\"}}],\"standardOptions\":{\"util\":\"percent\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":6,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
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||||
"configs": "{\"targets\":[{\"expr\":\"(((count(count(node_cpu_seconds_total{instance=\\\"$node\\\"}) by (cpu))) - avg(sum by (mode)(rate(node_cpu_seconds_total{mode='idle',instance=\\\"$node\\\"}[1m])))) * 100) / count(count(node_cpu_seconds_total{instance=\\\"$node\\\"}) by (cpu))\"}],\"name\":\"CPU使用率\",\"description\":\"如果cpu使用率超过50%,可以通过top命令查看机器上是否有异常进程,如果没有异常进程,则说明服务需要扩容或者机器需要升级配置了\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":30}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"result\":{\"color\":\"#369903\"},\"match\":{\"from\":0,\"to\":50}},{\"type\":\"range\",\"match\":{\"special\":50,\"from\":50,\"to\":100},\"result\":{\"color\":\"#b22222\"}}],\"standardOptions\":{\"util\":\"percent\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":0,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"max(100 - ((node_filesystem_avail_bytes{instance=\\\"$node\\\",} * 100) / node_filesystem_size_bytes{instance=\\\"$node\\\"}))\",\"legend\":\"{{mountpoint}}\"}],\"name\":\"磁盘分区使用率最大值\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\",\"decimals\":1},\"thresholds\":{\"steps\":[{\"value\":90,\"color\":\"#f90101\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":6,\"x\":0,\"y\":1,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_time_seconds{instance=\\\"$node\\\"} - node_boot_time_seconds{instance=\\\"$node\\\"}\"}],\"name\":\"启动时长\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"title\":null,\"value\":20}},\"options\":{\"valueMappings\":[],\"standardOptions\":{\"util\":\"humantimeSeconds\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":21,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"(node_memory_SwapTotal_bytes{instance=\\\"$node\\\"} - node_memory_SwapFree_bytes{instance=\\\"$node\\\"})\"}],\"name\":\"SWAP内存使用\",\"description\":\"swap使用过高,会影响系统io性能,如果内存够用但swap使用很高,可以调小swappiness的值\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":30}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"result\":{\"color\":\"#369903\"},\"match\":{\"from\":0,\"to\":50}},{\"type\":\"range\",\"match\":{\"special\":50,\"from\":50,\"to\":80},\"result\":{\"color\":\"#fb9b2d\"}},{\"type\":\"range\",\"match\":{\"from\":80,\"to\":100000},\"result\":{\"color\":\"#d10000\"}}],\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":12,\"y\":0,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_vmstat_oom_kill{instance=\\\"$node\\\"}[1m])\",\"legend\":\"OOM\"}],\"name\":\"OOM次数\",\"description\":\"大于0,说明有进程内存不够用了,需要考虑扩容或升级配置了\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":1},\"thresholds\":{\"steps\":[{\"value\":1,\"color\":\"#f90101\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":6,\"x\":18,\"y\":1,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"max(rate(node_disk_io_time_seconds_total{instance=\\\"$node\\\"}[5m]) * 100)\",\"legend\":\"{{device}}\"}],\"name\":\"磁盘设备io util 最大值\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":6,\"x\":12,\"y\":1,\"i\":\"6\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_filefd_allocated{instance=\\\"$node\\\"}/node_filefd_maximum{instance=\\\"$node\\\"}*100\"}],\"name\":\"FD使用率\",\"description\":\"如果超过80%,建议把文件描述符的最大个数调大,或者扩容\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":25}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"result\":{\"color\":\"#369903\"},\"match\":{\"from\":0,\"to\":50}},{\"type\":\"range\",\"match\":{\"special\":50,\"from\":50,\"to\":80},\"result\":{\"color\":\"#fb9b2d\"}},{\"type\":\"range\",\"match\":{\"from\":80,\"to\":100},\"result\":{\"color\":\"#d10000\"}}],\"standardOptions\":{\"util\":\"percent\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":15,\"y\":0,\"i\":\"7\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"max(100 - ((node_filesystem_files_free{instance=\\\"$node\\\",mountpoint!~\\\"/var/lib/.*\\\",mountpoint!~\\\"/run/user.*\\\"} * 100) / node_filesystem_files{instance=\\\"$node\\\",mountpoint!~\\\"/var/lib/.*\\\",mountpoint!~\\\"/run/user.*\\\"}))\",\"legend\":\"{{mountpoint}}\"}],\"name\":\"inode分区使用率最大值\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\",\"decimals\":1},\"thresholds\":{\"steps\":[{\"value\":50,\"color\":\"#f90101\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":6,\"x\":6,\"y\":1,\"i\":\"8\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"sum(node_filesystem_device_error{instance=\\\"$node\\\",mountpoint!~\\\"/var/lib/.*\\\",mountpoint!~\\\"/run.*\\\"})\",\"legend\":\"{{mountpoint}}\"}],\"name\":\"写文件错误数总和\",\"custom\":{\"textMode\":\"valueAndName\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":30}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"from\":0,\"to\":0},\"result\":{\"color\":\"#369903\"}},{\"type\":\"range\",\"match\":{\"from\":1,\"to\":10000},\"result\":{\"color\":\"#f0310f\"}}],\"standardOptions\":{\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":18,\"y\":0,\"i\":\"9\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "系统指标",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_procs_running{instance=\\\"$node\\\"}\",\"legend\":\"{{mountpoint}}\"}],\"name\":\"进程数\",\"description\":\"进程数超过2000,可以考虑扩容了\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[{\"value\":2000,\"color\":\"#ff0000\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_timex_offset_seconds{instance=\\\"$node\\\"}\",\"legend\":\"ntp偏移\"}],\"name\":\"NTP偏移\",\"description\":\"\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_intr_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"Interrupts\"},{\"expr\":\"irate(node_context_switches_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"context switches\"}],\"name\":\"上下文切换/中断\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_entropy_available_bits{instance=\\\"$node\\\"}\",\"legend\":\"entropy\"}],\"name\":\"熵池大小\",\"description\":\"熵池太小 ,程序使用随机函数会阻塞,可以安装 rng-tools 工具增加熵池大小,可参考\\n<a href=\\\"https://codeantenna.com/a/Ab6aMd3NSA\\\" target=\\\"_blank\\\">https://codeantenna.com/a/Ab6aMd3NSA</a> \",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[{\"value\":100,\"color\":\"#f70202\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "CPU详情",
|
||||
"weight": 3,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\" (avg by (mode)(rate(node_cpu_seconds_total{instance=\\\"$node\\\",mode!=\\\"idle\\\"}[1m])))*100\",\"legend\":\"{{mode}}\"}],\"name\":\"CPU使用率详情\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\" (avg by (mode)(rate(node_cpu_seconds_total{instance=\\\"$node\\\",mode=\\\"idle\\\"}[1m])))*100\",\"legend\":\"cpu_idle\"}],\"name\":\"CPU空闲率\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[{\"value\":10,\"color\":\"#f90101\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_load1{instance=\\\"$node\\\"}\",\"legend\":\"load1\"},{\"expr\":\"node_load5{instance=\\\"$node\\\"}\",\"legend\":\"load5\"},{\"expr\":\"node_load15{instance=\\\"$node\\\"}\",\"legend\":\"load15\"}],\"name\":\"CPU负载\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "内存详情",
|
||||
"weight": 4,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_memory_HugePages_Total{instance=\\\"$node\\\"}\",\"legend\":\"HugePages_Total\"},{\"expr\":\"node_memory_Hugepagesize_bytes{instance=\\\"$node\\\"}\",\"legend\":\"HugePages_Size\"},{\"expr\":\"node_memory_HugePages_Surp{instance=\\\"$node\\\"}\",\"legend\":\"HugePages_Surp \"},{\"expr\":\"node_memory_HugePages_Free{instance=\\\"$node\\\"}\",\"legend\":\"HugePages_Free\"},{\"expr\":\"node_memory_HugePages_Rsvd{instance=\\\"$node\\\"}\",\"legend\":\"HugePages_Rsvd\"},{\"expr\":\"node_memory_AnonHugePages_bytes{instance=\\\"$node\\\"}\",\"legend\":\"AnonHugePages\"},{\"expr\":\"node_memory_Inactive_file_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Inactive_file\"},{\"expr\":\"node_memory_Inactive_anon_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Inactive_anon\"},{\"expr\":\"node_memory_Active_file_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Active_file\"},{\"expr\":\"node_memory_Active_anon_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Active_anon\"},{\"expr\":\"node_memory_Unevictable_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Unevictable\"},{\"expr\":\"node_memory_AnonPages_bytes{instance=\\\"$node\\\"}\",\"legend\":\"AnonPages\"},{\"expr\":\"node_memory_Shmem_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Shmem\"},{\"expr\":\"node_memory_Mapped_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Mapped\"},{\"expr\":\"node_memory_Cached_bytes{instance=\\\"$node\\\"} \",\"legend\":\"Cache\"},{\"expr\":\"node_memory_SwapCached_bytes{instance=\\\"$node\\\"}\",\"legend\":\"SwapCache\"},{\"expr\":\"node_memory_Mlocked_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Mlocked\"},{\"expr\":\"node_memory_Buffers_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Buffers\"}],\"name\":\"用户态内存使用\",\"description\":\"内存指标可参考链接 [/PROC/MEMINFO之谜](http://linuxperf.com/?p=142) \",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.35,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_memory_Slab_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Slab \"},{\"expr\":\"node_memory_SReclaimable_bytes{instance=\\\"$node\\\"}\",\"legend\":\"SReclaimable \"},{\"expr\":\"node_memory_SUnreclaim_bytes{instance=\\\"$node\\\"}\",\"legend\":\"SUnreclaim \"},{\"expr\":\"node_memory_VmallocUsed_bytes{instance=\\\"$node\\\"}\",\"legend\":\"VmallocUsed\"},{\"expr\":\"node_memory_VmallocChunk_bytes{instance=\\\"$node\\\"}\",\"legend\":\"VmallocChunk\"},{\"expr\":\"node_memory_KernelStack_bytes{instance=\\\"$node\\\"}\",\"legend\":\"KernelStack\"},{\"expr\":\"node_memory_Bounce_bytes{instance=\\\"$node\\\"}\",\"legend\":\"Bounce \"}],\"name\":\"内核态内存使用\",\"description\":\"内存指标可参考链接 [/PROC/MEMINFO之谜](http://linuxperf.com/?p=142) \",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_memory_DirectMap1G_bytes{instance=\\\"$node\\\"}\",\"legend\":\"DirectMap1G\"},{\"expr\":\"node_memory_DirectMap2M_bytes{instance=\\\"$node\\\"}\",\"legend\":\"DirectMap2M\"},{\"expr\":\"node_memory_DirectMap4k_bytes{instance=\\\"$node\\\"}\",\"legend\":\"DirectMap4K\"}],\"name\":\"TLB效率\",\"description\":\"/proc/meminfo中的DirectMap所统计的不是关于内存的使用,而是一个反映TLB效率的指标。TLB(Translation Lookaside Buffer)是位于CPU上的缓存,用于将内存的虚拟地址翻译成物理地址,由于TLB的大小有限,不能缓存的地址就需要访问内存里的page table来进行翻译,速度慢很多。为了尽可能地将地址放进TLB缓存,新的CPU硬件支持比4k更大的页面从而达到减少地址数量的目的, 比如2MB,4MB,甚至1GB的内存页,视不同的硬件而定。”DirectMap4k”表示映射为4kB的内存数量, “DirectMap2M”表示映射为2MB的内存数量,以此类推。所以DirectMap其实是一个反映TLB效率的指标\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":2,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_memory_NFS_Unstable_bytes{instance=\\\"$node\\\"}\",\"legend\":\"NFS Unstable\"},{\"expr\":\"node_memory_Writeback_bytes{instance=\\\"$node\\\"}\",\"legend\":\"memory_Writeback\"},{\"expr\":\"node_memory_Dirty_bytes{instance=\\\"$node\\\"}\",\"legend\":\"memory_Dirty\"}],\"name\":\"dirty page\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "磁盘详情",
|
||||
"weight": 5,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_filesystem_avail_bytes{instance=\\\"$node\\\",device!~'rootfs', device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - Available\"},{\"expr\":\"node_filesystem_free_bytes{instance=\\\"$node\\\",device!~'rootfs',device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - Free\"},{\"expr\":\"node_filesystem_size_bytes{instance=\\\"$node\\\",device!~'rootfs',device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - Total\"}],\"name\":\"磁盘空间\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":null},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_filesystem_files{instance=\\\"$node\\\",device!~'rootfs',device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - total\"},{\"expr\":\"node_filesystem_files_free{instance=\\\"$node\\\",device!~'rootfs',device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - free\"}],\"name\":\"inode\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_filefd_maximum{instance=\\\"$node\\\"}\",\"legend\":\"Max open files\"},{\"expr\":\"node_filefd_allocated{instance=\\\"$node\\\"}\",\"legend\":\"Open files\"}],\"name\":\"fd使用\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"node_filesystem_readonly{instance=\\\"$node\\\",device!~'rootfs',device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - ReadOnly\"},{\"expr\":\"node_filesystem_device_error{instance=\\\"$node\\\",device!~'rootfs',device!~\\\"tmpfs\\\",mountpoint!~\\\"/var/lib.*\\\"}\",\"legend\":\"{{mountpoint}} - Device error\"}],\"name\":\"读写错误\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
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||||
"weight": 0
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||||
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||||
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|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_disk_reads_completed_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}}-reads\"},{\"expr\":\"rate(node_disk_writes_completed_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}} - Writes\"},{\"expr\":\"rate(node_disk_reads_merged_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}} - Read merged\"},{\"expr\":\"rate(node_disk_writes_merged_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}} - Write merged\"}],\"name\":\"IO/Merged次数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
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||||
},
|
||||
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|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_disk_read_bytes_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}}-Read bytes\"},{\"expr\":\"rate(node_disk_written_bytes_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}} - Written bytes\"}],\"name\":\"读写数据大小\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":2,\"i\":\"5\"}}",
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||||
"weight": 0
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||||
},
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||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_disk_io_time_seconds_total{instance=\\\"$node\\\"}[1m])\",\"legend\":\"{{device}}\"}],\"name\":\"io util\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":2,\"i\":\"6\"}}",
|
||||
"weight": 0
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||||
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|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"(rate(node_disk_read_time_seconds_total{instance=\\\"$node\\\"}[1m]) / rate(node_disk_reads_completed_total{instance=\\\"$node\\\"}[1m])+rate(node_disk_write_time_seconds_total{instance=\\\"$node\\\"}[1m]) / rate(node_disk_writes_completed_total{instance=\\\"$node\\\"}[1m]))*1000\",\"legend\":\"{{device}}\"}],\"name\":\"io await\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.64,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":2,\"i\":\"7\"}}",
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||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"(rate(node_disk_read_bytes_total{instance=\\\"$node\\\"}[1m]) + rate(node_disk_written_bytes_total{instance=\\\"$node\\\"}[1m]))\\n/\\n(rate(node_disk_reads_completed_total{instance=\\\"$node\\\"}[1m]) + rate(node_disk_writes_completed_total{instance=\\\"$node\\\"}[1m]))\",\"legend\":\"avgrq-sz\"}],\"name\":\"avgrq-sz\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":4,\"i\":\"8\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_disk_io_time_weighted_seconds_total{instance=\\\"$node\\\"}[1m])\\n\",\"legend\":\"{{device}}\"}],\"name\":\"avgqu-sz\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":4,\"i\":\"9\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "网络详情",
|
||||
"weight": 6,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_network_receive_bytes_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])*8\",\"legend\":\"{{device}} - in\"},{\"expr\":\"rate(node_network_transmit_bytes_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])*8\",\"legend\":\"{{device}} - out\"}],\"name\":\"出入流量大小\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_network_receive_packets_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])\",\"legend\":\"{{device}} - in\"},{\"expr\":\"rate(node_network_transmit_packets_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])\",\"legend\":\"{{device}} - out\"}],\"name\":\"packets\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
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||||
"weight": 0
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||||
},
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||||
{
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||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_network_receive_errs_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])\",\"legend\":\"{{device}} - in\"},{\"expr\":\"rate(node_network_transmit_errs_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])\",\"legend\":\"{{device}} - out\"}],\"name\":\"error\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"rate(node_network_receive_drop_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])\",\"legend\":\"{{device}} - in\"},{\"expr\":\"rate(node_network_transmit_drop_total{instance=\\\"$node\\\",device=~\\\"e.*\\\"}[1m])\",\"legend\":\"{{device}} - out\"}],\"name\":\"drop\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
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||||
"configs": "{\"targets\":[{\"expr\":\"node_nf_conntrack_entries{instance=\\\"$node\\\"}\",\"legend\":\"NF conntrack entries\"},{\"expr\":\"node_nf_conntrack_entries_limit{instance=\\\"$node\\\"}\",\"legend\":\"NF conntrack limit\"}],\"name\":\"nf_conntrack\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
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||||
"configs": "{\"targets\":[{\"expr\":\"node_sockstat_TCP_alloc{instance=\\\"$node\\\"}\",\"legend\":\"TCP_alloc\"},{\"expr\":\"node_sockstat_TCP_inuse{instance=\\\"$node\\\"}\",\"legend\":\"TCP_inuse\"},{\"expr\":\"node_sockstat_TCP_orphan{instance=\\\"$node\\\"}\",\"legend\":\"TCP_orphan\"},{\"expr\":\"node_sockstat_TCP_tw{instance=\\\"$node\\\"}\",\"legend\":\"TCP_tw\"},{\"expr\":\"node_netstat_Tcp_CurrEstab{instance=\\\"$node\\\"}\",\"legend\":\"TCP_CurrEstab\"}],\"name\":\"tcp\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.27,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":2,\"i\":\"5\"}}",
|
||||
"weight": 0
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||||
},
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||||
{
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||||
"configs": "{\"targets\":[{\"expr\":\"node_sockstat_sockets_used{instance=\\\"$node\\\"}\",\"legend\":\"Sockets_used\"}],\"name\":\"socket\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":2,\"i\":\"6\"}}",
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||||
"weight": 0
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}
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]
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||||
}
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||||
]
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||||
}
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||||
]
|
|
@ -0,0 +1,179 @@
|
|||
[
|
||||
{
|
||||
"name": "HOST - Telegraf 模板",
|
||||
"tags": "",
|
||||
"configs": "{\"var\":[{\"name\":\"ident\",\"definition\":\"label_values(system_load1,ident)\"}],\"links\":[{\"title\":\"n9e\",\"url\":\"https://n9e.gitee.io/\",\"targetBlank\":true},{\"title\":\"author\",\"url\":\"http://flashcat.cloud/\",\"targetBlank\":true}]}",
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||||
"chart_groups": [
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{
|
||||
"name": "整体概况",
|
||||
"weight": 0,
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"charts": [
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||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"count(system_load1)\"}],\"name\":\"监控机器数\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":0,\"y\":0,\"i\":\"0\"}}",
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"weight": 0
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},
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||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10, (100-cpu_usage_idle{cpu=\\\"cpu-total\\\"}))\"}],\"name\":\"cpu使用率 top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
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},
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||||
{
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||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10, (100-mem_used_percent))\"}],\"name\":\"内存率 top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":9,\"x\":3,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10, (disk_used_percent{path!~\\\"/var.*\\\"}))\",\"legend\":\"{{ident}}-{{path}}\"}],\"name\":\"磁盘分区使用率 top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":12,\"x\":0,\"y\":1,\"i\":\"3\"}}",
|
||||
"weight": 0
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||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(10, (rate(diskio_io_time[1m])/10))\",\"legend\":\"\"}],\"name\":\"设备io util top10\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":12,\"x\":12,\"y\":1,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "单机概况",
|
||||
"weight": 1,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"100-cpu_usage_idle{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\"}],\"name\":\"CPU使用率\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":30}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"from\":0,\"to\":50},\"result\":{\"color\":\"#129b22\"}},{\"type\":\"range\",\"match\":{\"from\":50,\"to\":100},\"result\":{\"color\":\"#f51919\"}}],\"standardOptions\":{\"util\":\"percent\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":6,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mem_used_percent{ident=\\\"$ident\\\"}\"}],\"name\":\"内存使用率\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":30}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"from\":0,\"to\":50},\"result\":{\"color\":\"#129b22\"}},{\"type\":\"range\",\"match\":{\"from\":50,\"to\":100},\"result\":{\"color\":\"#f51919\"}}],\"standardOptions\":{\"util\":\"percent\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mem_swap_total{ident=\\\"$ident\\\"}-mem_swap_free{ident=\\\"$ident\\\"}\"}],\"name\":\"SWAP使用\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":40}},\"options\":{\"valueMappings\":[],\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":21,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"system_uptime{ident=\\\"$ident\\\"}\"}],\"name\":\"启动时长\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":30}},\"options\":{\"valueMappings\":[],\"standardOptions\":{\"util\":\"humantimeSeconds\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":0,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"disk_used_percent{ident=\\\"$ident\\\"}\",\"legend\":\"{{path}}\"}],\"name\":\"磁盘使用率\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":8,\"x\":0,\"y\":1,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"disk_inodes_used{ident=\\\"$ident\\\"}/disk_inodes_total{ident=\\\"$ident\\\"}\",\"legend\":\"{{path}}\"}],\"name\":\"inode使用率\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":8,\"x\":8,\"y\":1,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(diskio_io_time{ident=\\\"$ident\\\"}[1m])/10\",\"legend\":\"{{name}}\"}],\"name\":\"io_util\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":1,\"w\":8,\"x\":16,\"y\":1,\"i\":\"6\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"linux_sysctl_fs_file_nr{ident=\\\"$ident\\\"}/linux_sysctl_fs_file_max{ident=\\\"$ident\\\"}*100\"}],\"name\":\"FD使用率\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":25}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"from\":0,\"to\":50},\"result\":{\"color\":\"#129b22\"}},{\"type\":\"range\",\"match\":{\"from\":50,\"to\":100},\"result\":{\"color\":\"#f51919\"}}],\"standardOptions\":{\"util\":\"percent\",\"decimals\":2}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":3,\"x\":18,\"y\":0,\"i\":\"7\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "系统指标",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"processes_total{ident=\\\"$ident\\\"}\"}],\"name\":\"进程总数\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[{\"value\":2000,\"color\":\"#fa2a05\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(kernel_context_switches{ident=\\\"$ident\\\"}[1m])\",\"legend\":\"context_switches\"},{\"expr\":\"rate(kernel_interrupts{ident=\\\"$ident\\\"}[1m])\",\"refId\":\"B\",\"legend\":\"kernel_interrupts\"}],\"name\":\"上下文切换/中断\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"kernel_entropy_avail{ident=\\\"$ident\\\"}\",\"legend\":\"entropy_avail\"}],\"name\":\"熵池大小\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[{\"value\":100,\"color\":\"#f50505\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "CPU",
|
||||
"weight": 3,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"cpu_usage_guest{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"legend\":\"\"},{\"expr\":\"cpu_usage_iowait{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"B\",\"legend\":\"\"},{\"expr\":\"cpu_usage_user{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"C\"},{\"expr\":\"cpu_usage_system{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"D\"},{\"expr\":\"cpu_usage_irq{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"E\"},{\"expr\":\"cpu_usage_softirq{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"F\"},{\"expr\":\"cpu_usage_nice{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"G\"},{\"expr\":\"cpu_usage_steal{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"refId\":\"H\"}],\"name\":\"CPU使用率详情\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"cpu_usage_idle{ident=\\\"$ident\\\",cpu=\\\"cpu-total\\\"}\",\"legend\":\"cpu_usage_idle\"}],\"name\":\"CPU空闲率\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{\"steps\":[{\"value\":10,\"color\":\"#f20202\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"system_load15{ident=\\\"$ident\\\"}\"},{\"expr\":\"system_load1{ident=\\\"$ident\\\"}\",\"refId\":\"B\"},{\"expr\":\"system_load5{ident=\\\"$ident\\\"}\",\"refId\":\"C\"}],\"name\":\"CPU负载\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "内存详情",
|
||||
"weight": 4,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mem_active{ident=\\\"$ident\\\"}\"},{\"expr\":\"mem_cached{ident=\\\"$ident\\\"}\",\"refId\":\"B\"},{\"expr\":\"mem_buffered{ident=\\\"$ident\\\"}\",\"refId\":\"C\"},{\"expr\":\"mem_inactive{ident=\\\"$ident\\\"}\",\"refId\":\"D\"},{\"expr\":\"mem_mapped{ident=\\\"$ident\\\"}\",\"refId\":\"E\"},{\"expr\":\"mem_shared{ident=\\\"$ident\\\"}\",\"refId\":\"F\"},{\"expr\":\"mem_swap_cached{ident=\\\"$ident\\\"}\",\"refId\":\"G\"}],\"name\":\"用户态内存使用\",\"description\":\"内存指标可参考链接 [/PROC/MEMINFO之谜](http://linuxperf.com/?p=142) \",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mem_slab{ident=\\\"$ident\\\"}\"},{\"expr\":\"mem_sreclaimable{ident=\\\"$ident\\\"}\",\"refId\":\"B\"},{\"expr\":\"mem_sunreclaim{ident=\\\"$ident\\\"}\",\"refId\":\"C\"},{\"expr\":\"mem_vmalloc_used{ident=\\\"$ident\\\"}\",\"refId\":\"D\"},{\"expr\":\"mem_vmalloc_chunk{ident=\\\"$ident\\\"}\",\"refId\":\"E\"}],\"name\":\"内核态内存使用\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "磁盘详情",
|
||||
"weight": 5,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"disk_free{ident=\\\"$ident\\\"}\"},{\"expr\":\"disk_total{ident=\\\"$ident\\\"}\",\"refId\":\"B\"},{\"expr\":\"disk_used{ident=\\\"$ident\\\"}\",\"refId\":\"C\"}],\"name\":\"磁盘空间\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":null},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"linux_sysctl_fs_file_max{ident=\\\"$ident\\\"}\"},{\"expr\":\"linux_sysctl_fs_file_nr{ident=\\\"$ident\\\"}\",\"refId\":\"B\"}],\"name\":\"fd使用\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"disk_inodes_total{ident=\\\"$ident\\\",path!~\\\"/var.*\\\"}\",\"legend\":\"{{path}}-total\"},{\"expr\":\"disk_inodes_used{ident=\\\"$ident\\\",path!~\\\"/var.*\\\"}\",\"refId\":\"B\",\"legend\":\"{{path}}-used\"}],\"name\":\"inode\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(diskio_reads{ident=\\\"$ident\\\"}[1m])\",\"legend\":\"{{name}}-read\"},{\"expr\":\"rate(diskio_writes{ident=\\\"$ident\\\"}[1m])\",\"refId\":\"B\",\"legend\":\"{{name}}-writes\"}],\"name\":\"IOPS\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(diskio_write_time{ident=\\\"$ident\\\"}[1m])/rate(diskio_writes{ident=\\\"$ident\\\"}[1m])+rate(diskio_read_time{ident=\\\"$ident\\\"}[1m])/rate(diskio_reads{ident=\\\"$ident\\\"}[1m])\",\"legend\":\"{{name}}\"}],\"name\":\"iowait\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(diskio_read_bytes{ident=\\\"$ident\\\"}[1m])\",\"legend\":\"{{name}}-read\"},{\"expr\":\"rate(diskio_write_bytes{ident=\\\"$ident\\\"}[1m])\",\"refId\":\"B\",\"legend\":\"{{name}}-writes\"}],\"name\":\"IO吞吐量\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":2,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "网络详情",
|
||||
"weight": 6,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(net_bytes_recv{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])*8\",\"legend\":\"{{interface}}-recv\"},{\"expr\":\"rate(net_bytes_sent{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])*8\",\"refId\":\"B\",\"legend\":\"{{interface}}-sent\"}],\"name\":\"网络流量\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(net_packets_recv{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])\",\"legend\":\"{{interface}}-recv\"},{\"expr\":\"rate(net_packets_sent{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])\",\"refId\":\"B\",\"legend\":\"{{interface}}-sent\"}],\"name\":\"packets\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(net_err_in{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])\",\"legend\":\"{{interface}}-in\"},{\"expr\":\"rate(net_err_out{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])\",\"refId\":\"B\",\"legend\":\"{{interface}}-out\"}],\"name\":\"error\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(net_drop_in{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])\",\"legend\":\"{{interface}}-in\"},{\"expr\":\"rate(net_drop_out{ident=\\\"$ident\\\",interface=~\\\"eth.*\\\"}[1m])\",\"refId\":\"B\",\"legend\":\"{{interface}}-out\"}],\"name\":\"drop\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"netstat_tcp_established{ident=\\\"$ident\\\"}\"},{\"expr\":\"netstat_tcp_listen{ident=\\\"$ident\\\"}\",\"refId\":\"B\"},{\"expr\":\"netstat_tcp_time_wait{ident=\\\"$ident\\\"}\",\"refId\":\"C\"}],\"name\":\"tcp\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":24,\"x\":0,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,109 @@
|
|||
[
|
||||
{
|
||||
"name": "MongoDB Overview - 模板",
|
||||
"tags": "Prometheus MongoDB",
|
||||
"configs": "{\"var\":[{\"name\":\"instance\",\"definition\":\"label_values(mongodb_up,instance)\"}]}",
|
||||
"chart_groups": [
|
||||
{
|
||||
"name": "Basic Info",
|
||||
"weight": 0,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_up{instance=\\\"$instance\\\"}\",\"time\":{\"num\":1,\"unit\":\"hour\",\"description\":\"小时\"}}],\"name\":\"Up\",\"description\":\"实例数\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"from\":1},\"result\":{\"color\":\"#53b503\"}},{\"type\":\"range\",\"match\":{\"special\":null,\"from\":0,\"to\":1},\"result\":{\"color\":\"#e70d0d\"}}],\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_instance_uptime_seconds{instance='$instance'}\",\"time\":{\"num\":1,\"unit\":\"hour\",\"description\":\"小时\"}}],\"name\":\"Uptime\",\"description\":\"启用时长\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"title\":null}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"to\":1800},\"result\":{\"color\":\"#ec7718\"}},{\"type\":\"range\",\"match\":{\"from\":1800},\"result\":{\"color\":\"#53b503\"}}],\"standardOptions\":{\"util\":\"humantimeSeconds\"}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_memory{instance='$instance'} * 1024 * 1024\",\"legend\":\"{{type}}\"}],\"name\":\"Memory\",\"description\":\"内存占用(MiB)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_extra_info_page_faults_total{instance=\\\"$instance\\\"}[5m])\",\"legend\":\"{{type}}\"}],\"name\":\"Page Faults\",\"description\":\"页缺失中断次数 Page faults indicate that requests are processed from disk either because an index is missing or there is not enough memory for the data set. Consider increasing memory or sharding out.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"none\",\"decimals\":null},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_ss_network_bytesOut{instance='$instance'}[5m])\",\"legend\":\"bytesOut\"},{\"expr\":\"rate(mongodb_ss_network_bytesIn{instance='$instance'}[5m])\",\"refId\":\"B\",\"legend\":\"bytesIn\"}],\"name\":\"Network I/O\",\"description\":\"网络流量(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesSI\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_connections{instance=\\\"$instance\\\", state=\\\"current\\\"}\",\"legend\":\"Connections\"}],\"name\":\"Connections\",\"description\":\"连接数 Keep in mind the hard limit on the maximum number of connections set by your distribution.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":2,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_asserts_total{instance=\\\"$instance\\\"}[5m])\",\"legend\":\"{{type}}\"}],\"name\":\"Assert Events\",\"description\":\"断言错误次数 Asserts are not important by themselves, but you can correlate spikes with other graphs.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":2,\"i\":\"6\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_mongod_global_lock_current_queue{instance=\\\"$instance\\\"}\",\"legend\":\"{{type}}\"}],\"name\":\"Lock Queue\",\"description\":\"等待获取锁操作数量 Any number of queued operations for long periods of time is an indication of possible issues. Find the cause and fix it before requests get stuck in the queue.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":2,\"i\":\"7\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Operation Info",
|
||||
"weight": 1,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_op_counters_total{instance=\\\"$instance\\\", type!=\\\"command\\\"}[5m])\",\"legend\":\"{{type}}\"},{\"expr\":\"rate(mongodb_mongod_op_counters_repl_total{instance=\\\"$instance\\\", type!~\\\"(command|query|getmore)\\\"}[5m]) or \\nrate(mongodb_mongos_op_counters_repl_total{instance=\\\"$instance\\\", type!~\\\"(command|query|getmore)\\\"}[5m])\",\"refId\":\"B\",\"legend\":\"repl_{{type}}\"},{\"expr\":\"rate(mongodb_mongod_metrics_ttl_deleted_documents_total{instance=\\\"$instance\\\"}[5m]) or \\nrate(mongodb_mongos_metrics_ttl_deleted_documents_total{instance=\\\"$instance\\\"}[5m])\",\"refId\":\"C\",\"legend\":\"ttl_delete\"}],\"name\":\"Command Operations\",\"description\":\"接收请求数 Shows how many times a command is executed per second on average during the selected interval.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_mongod_metrics_document_total{instance=\\\"$instance\\\"}[5m])\",\"legend\":\"{{state}}\"}],\"name\":\"Document Operations\",\"description\":\"文档操作数 When used in combination with 'Command Operations', this graph can help identify write amplification. For example, when one insert or update command actually inserts or updates hundreds, thousands, or even millions of documents.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_mongod_op_latencies_latency_total{instance='$instance'}[5m]) / rate(mongodb_mongod_op_latencies_ops_total{instance='$instance'}[5m]) / 1000\",\"legend\":\"{{type}}\"}],\"name\":\"Response Time\",\"description\":\"操作详情耗时(毫秒)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"milliseconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":2,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"sum(increase(mongodb_mongod_metrics_query_executor_total{instance=\\\"$instance\\\", state=\\\"scanned_objects\\\"}[5m])) / sum(increase(mongodb_mongod_metrics_document_total{instance=\\\"$instance\\\", state=\\\"returned\\\"}[5m]))\",\"legend\":\"Document\"},{\"expr\":\"sum(increase(mongodb_mongod_metrics_query_executor_total{instance=\\\"$instance\\\", state=\\\"scanned\\\"}[5m])) / sum(increase(mongodb_mongod_metrics_document_total{instance=\\\"$instance\\\", state=\\\"returned\\\"}[5m]))\",\"refId\":\"B\",\"legend\":\"Index\"}],\"name\":\"Query Efficiency\",\"description\":\"查询效率\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percentUnit\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_mongod_metrics_cursor_open{instance=\\\"$instance\\\"}\",\"legend\":\"{{state}}\"}],\"name\":\"Cursors\",\"description\":\"游标数量 Helps identify why connections are increasing. Shows active cursors compared to cursors being automatically killed after 10 minutes due to an application not closing the connection.\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":2,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Cache Info",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_mongod_wiredtiger_cache_bytes{instance='$instance'}\",\"legend\":\"{{type}}\"}],\"name\":\"Cache Size\",\"description\":\"缓存大小(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_mongod_wiredtiger_cache_bytes_total{instance='$instance'}[5m])\",\"legend\":\"{{type}}\"}],\"name\":\"Cache I/O\",\"description\":\"写入或读取的缓存数据大小(byte)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesSI\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"100 * sum(mongodb_mongod_wiredtiger_cache_pages{instance='$instance',type=\\\"dirty\\\"}) / sum(mongodb_mongod_wiredtiger_cache_pages{instance='$instance',type=\\\"total\\\"})\",\"legend\":\"dirty rate\"}],\"name\":\"Cache Dirty Pages Rate\",\"description\":\"缓存脏页占比\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(mongodb_mongod_wiredtiger_cache_evicted_total{instance='$instance'}[5m])\",\"legend\":\"evicted pages\"}],\"name\":\"Cache Evicted Pages\",\"description\":\"缓存剔除页数量\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "ReplSet Info",
|
||||
"weight": 3,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"time() - mongodb_mongod_replset_member_election_date\"}],\"name\":\"Replset Election\",\"description\":\"副本集选主时间\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"to\":1800},\"result\":{\"color\":\"#f24526\"}},{\"type\":\"range\",\"match\":{\"from\":1800},\"result\":{\"color\":\"#53b503\"}}],\"standardOptions\":{\"util\":\"seconds\",\"decimals\":1}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"mongodb_mongod_replset_member_replication_lag{instance=\\\"$instance\\\"}\",\"legend\":\"lag\"}],\"name\":\"Replset Lag Seconds\",\"description\":\"副本集成员主从同步延迟\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"seconds\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,153 @@
|
|||
[
|
||||
{
|
||||
"name": "Linux Process - 模板",
|
||||
"tags": "Prometheus Process",
|
||||
"configs": "{\"var\":[{\"name\":\"instance\",\"definition\":\"label_values(namedprocess_namegroup_num_procs, instance)\",\"multi\":false,\"options\":[\"tt-fc-es02.nj:12346\"]},{\"definition\":\"label_values(namedprocess_namegroup_cpu_seconds_total{instance=~\\\"$instance\\\"},groupname)\",\"name\":\"processes\",\"multi\":true,\"options\":[\"(sd-pam)\",\"NetworkManager\",\"YDLive\",\"YDPython\",\"YDService\",\"agent\",\"agetty\",\"atd\",\"auditd\",\"barad_agent\",\"bash\",\"chronyd\",\"crond\",\"dbus-daemon\",\"fc-agent\",\"fc-alert\",\"fc-checker\",\"gpg-agent\",\"less\",\"lsmd\",\"mongod\",\"mysql\",\"mysqld\",\"nginx\",\"ngo\",\"node\",\"openvpn\",\"podman pause\",\"polkitd\",\"process-agent\",\"redis-server\",\"rsyslogd\",\"sedispatch\",\"sgagent\",\"sh\",\"ssh-agent\",\"sshd\",\"sssd\",\"sssd_be\",\"sssd_nss\",\"su\",\"sudo\",\"systemd\",\"systemd-journal\",\"systemd-logind\",\"systemd-udevd\",\"tat_agent\",\"trace-agent\",\"tuned\",\"unbound-anchor\",\"vminsert-prod\",\"vmselect-prod\",\"vmstorage-prod\"],\"allOption\":true}]}",
|
||||
"chart_groups": [
|
||||
{
|
||||
"name": "Cpu Usage",
|
||||
"weight": 0,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,(rate(namedprocess_namegroup_cpu_seconds_total{mode=\\\"user\\\",groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) + ignoring(mode) rate(namedprocess_namegroup_cpu_seconds_total{mode=\\\"system\\\",groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])) or (irate(namedprocess_namegroup_cpu_seconds_total{mode=\\\"user\\\",groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) + ignoring(mode) irate(namedprocess_namegroup_cpu_seconds_total{mode=\\\"system\\\",groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Total CPU cores used\",\"description\":\"进程占用CPU时间(用户态+内核态),倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percentUnit\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5, rate(namedprocess_namegroup_cpu_seconds_total{mode=\\\"system\\\",groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or ( irate(namedprocess_namegroup_cpu_seconds_total{mode=\\\"system\\\",groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by System CPU cores used\",\"description\":\"进程占用CPU时间(内核态),倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percentUnit\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Memory Usage",
|
||||
"weight": 1,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( (avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"swapped\\\",instance=~\\\"$instance\\\"}[5m])+ ignoring (memtype) avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"resident\\\",instance=~\\\"$instance\\\"}[5m])) or (avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"swapped\\\",instance=~\\\"$instance\\\"}[5m])+ ignoring (memtype) avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"resident\\\",instance=~\\\"$instance\\\"}[5m])) ))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Used memory\",\"description\":\"进程常驻内存与交换空间平均占用容量之和,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5, (avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"resident\\\",instance=~\\\"$instance\\\"}[5m]) or avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"resident\\\",instance=~\\\"$instance\\\"}[5m]) ))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Resident Memory\",\"description\":\"进程常驻内存平均占用容量之和,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"swapped\\\",instance=~\\\"$instance\\\"}[5m]) or avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"swapped\\\",instance=~\\\"$instance\\\"}[5m]))) \",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Swapped Memory\",\"description\":\"进程交换内存平均占用容量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":2,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"virtual\\\",instance=~\\\"$instance\\\"}[5m]) or avg_over_time(namedprocess_namegroup_memory_bytes{groupname=~\\\"$processes\\\", memtype=\\\"virtual\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Virtual Memory\",\"description\":\"进程虚拟内存平均占用容量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":2,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Disk IO Usage",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,(rate(namedprocess_namegroup_write_bytes_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or irate(namedprocess_namegroup_write_bytes_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Bytes Written\",\"description\":\"进程写数据量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesSI\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,(rate(namedprocess_namegroup_read_bytes_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or irate(namedprocess_namegroup_read_bytes_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Bytes Read\",\"description\":\"进程读数据量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesSI\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Process and Thread Counts",
|
||||
"weight": 3,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,(max_over_time(namedprocess_namegroup_num_procs{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or max_over_time(namedprocess_namegroup_num_procs{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by number of processes instances\",\"description\":\"同名进程数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,(max_over_time(namedprocess_namegroup_num_threads{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or max_over_time(namedprocess_namegroup_num_threads{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by number of threads\",\"description\":\"进程内线程数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Context Switches",
|
||||
"weight": 4,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( rate(namedprocess_namegroup_context_switches_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\",ctxswitchtype=\\\"voluntary\\\"}[5m]) or irate(namedprocess_namegroup_context_switches_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\",ctxswitchtype=\\\"voluntary\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top Processes by Voluntary Context Switches\",\"description\":\"进程自愿中断(如I/O完成)次数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( rate(namedprocess_namegroup_context_switches_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\",ctxswitchtype=\\\"nonvoluntary\\\"}[5m]) or irate(namedprocess_namegroup_context_switches_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\",ctxswitchtype=\\\"nonvoluntary\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top Processes by Non-Voluntary Context Switches\",\"description\":\"进程被迫中断(如CPU时间耗尽)次数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "File Descriptors",
|
||||
"weight": 5,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,(max_over_time(namedprocess_namegroup_open_filedesc{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or max_over_time(namedprocess_namegroup_open_filedesc{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Open File Descriptors\",\"description\":\"打开文件数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( max_over_time(namedprocess_namegroup_worst_fd_ratio{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or max_over_time(namedprocess_namegroup_worst_fd_ratio{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) ))*100\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by File Descriptor Usage Percent\",\"description\":\"已打开文件数与允许打开文件数占比,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"percent\"},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Page Faults",
|
||||
"weight": 6,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( rate(namedprocess_namegroup_major_page_faults_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or irate(namedprocess_namegroup_major_page_faults_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Major Page Faults\",\"description\":\"主要页缺失次数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( rate(namedprocess_namegroup_minor_page_faults_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m]) or irate(namedprocess_namegroup_minor_page_faults_total{groupname=~\\\"$processes\\\",instance=~\\\"$instance\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top processes by Minor Page Faults\",\"description\":\"次要页缺失次数,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Statuses",
|
||||
"weight": 7,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( max_over_time(namedprocess_namegroup_states{instance=~\\\"$instance\\\", groupname=~\\\"$processes\\\", state=\\\"Running\\\"}[5m]) or max_over_time(namedprocess_namegroup_states{instance=~\\\"$instance\\\", groupname=~\\\"$processes\\\", state=\\\"Running\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top running processes\",\"description\":\"运行态同名进程数量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,( max_over_time(namedprocess_namegroup_states{instance=~\\\"$instance\\\", groupname=~\\\"$processes\\\", state=\\\"Waiting\\\"}[5m]) or max_over_time(namedprocess_namegroup_states{instance=~\\\"$instance\\\", groupname=~\\\"$processes\\\", state=\\\"Waiting\\\"}[5m])))\",\"legend\":\"{{groupname}}\"}],\"name\":\"Top of processes waiting on IO\",\"description\":\"等待IO状态同名进程数量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Kernel Waits(WCHAN)",
|
||||
"weight": 8,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,sum(avg_over_time(namedprocess_namegroup_threads_wchan{instance=~\\\"$instance\\\", groupname=~\\\"$processes\\\"}[5m])) by (wchan) )\",\"legend\":\"{{wchan}}\"}],\"name\":\"Kernel waits for All\",\"description\":\"内核函数等待线程数量,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"topk(5,sum(avg_over_time(namedprocess_namegroup_threads_wchan{instance=~\\\"$instance\\\", groupname=~\\\"$processes\\\"}[5m])) by (wchan,groupname) )\",\"legend\":\"{{wchan}}\"}],\"name\":\"Kernel wait Details for All\",\"description\":\"内核函数等待线程数量按进程统计,倒排前5\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Uptime",
|
||||
"weight": 9,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"time()-(namedprocess_namegroup_oldest_start_time_seconds{instance=~\\\"$instance\\\",groupname=~\\\"$processes\\\"}>0)\",\"legend\":\"{{groupname}}\"}],\"name\":\"Processes by uptime\",\"description\":\"进程启动时长\",\"custom\":{\"showHeader\":true,\"calc\":\"lastNotNull\",\"displayMode\":\"seriesToRows\"},\"options\":{\"standardOptions\":{\"util\":\"seconds\"}},\"overrides\":[{\"properties\":{\"standardOptions\":{\"util\":\"seconds\"},\"valueMappings\":[{\"type\":\"range\",\"match\":{\"to\":1800},\"result\":{\"color\":\"#f91010\"}},{\"type\":\"range\",\"match\":{\"from\":1800},\"result\":{\"color\":\"#21f312\"}}]}}],\"version\":\"2.0.0\",\"type\":\"table\",\"layout\":{\"h\":2,\"w\":24,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,99 @@
|
|||
[
|
||||
{
|
||||
"name": "Windows - 模板",
|
||||
"tags": "Windows Prometheus",
|
||||
"configs": "{\"var\":[{\"name\":\"instance\",\"definition\":\"label_values(windows_system_system_up_time, instance)\"}]}",
|
||||
"chart_groups": [
|
||||
{
|
||||
"name": "Basic Info",
|
||||
"weight": 0,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"time() - windows_system_system_up_time{instance=~\\\"$instance\\\"}\",\"legend\":\"\"}],\"name\":\"Uptime\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{\"util\":\"humantimeSeconds\"}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"windows_cs_logical_processors{instance=~\\\"$instance\\\"}\",\"legend\":\"\"}],\"name\":\"CPU Core Total\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"windows_cs_physical_memory_bytes{instance=~\\\"$instance\\\"}\"}],\"name\":\"Memory Total\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":0}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"windows_os_processes{instance=~\\\"$instance\\\"}\"}],\"name\":\"Process Total\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{}},\"options\":{\"valueMappings\":[{\"type\":\"range\",\"match\":{\"to\":100},\"result\":{\"color\":\"#109d06\"}},{\"type\":\"range\",\"match\":{\"from\":100},\"result\":{\"color\":\"#d11010\"}}],\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "CPU Memory Disk",
|
||||
"weight": 1,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"100 * sum by (instance) (rate(windows_cpu_time_total{mode != 'idle'}[5m])) / count by (instance) (windows_cpu_core_frequency_mhz) \",\"legend\":\"CPU Util\"}],\"name\":\"Cpu Util\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":2},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"100 - (windows_os_physical_memory_free_bytes{instance=~\\\"$instance\\\"} / windows_cs_physical_memory_bytes{instance=~\\\"$instance\\\"})*100\"}],\"name\":\"Memory Util\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":2},\"thresholds\":{\"steps\":[{\"value\":70,\"color\":\"#e71313\"}]}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"100 - (windows_logical_disk_free_bytes{instance=~\\\"$instance\\\"} / windows_logical_disk_size_bytes{instance=~\\\"$instance\\\"})*100\",\"legend\":\"{{volume}}\"}],\"name\":\"Disk Util\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":2},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"windows_logical_disk_free_bytes{instance=~\\\"$instance\\\"}\",\"legend\":\"{{volume}} Free\"},{\"expr\":\"windows_logical_disk_size_bytes{instance=~\\\"$instance\\\"}\",\"legend\":\"{{volume}} Total\"}],\"name\":\"Disk Free\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":0},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Disk IO",
|
||||
"weight": 2,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"irate(windows_logical_disk_read_bytes_total{instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"{{volume}} Read\"},{\"expr\":\"irate(windows_logical_disk_write_bytes_total{instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"{{volume}} Write\"}],\"name\":\"Read/Write Bytes / Second\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bytesIEC\",\"decimals\":2},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"irate(windows_logical_disk_reads_total{instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"{{volume}} Read\"},{\"expr\":\"irate(windows_logical_disk_writes_total{instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"{{volume}} Write\"}],\"name\":\"Read/Write / Second\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":2},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "Network",
|
||||
"weight": 3,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"irate(windows_net_bytes_sent_total{instance=~\\\"$instance\\\",nic!~'isatap.*|VPN.*'}[5m])*8\",\"legend\":\"{{nic}} Sent\"},{\"expr\":\"irate(windows_net_bytes_received_total{instance=~\\\"$instance\\\",nic!~'isatap.*|VPN.*'}[5m])*8\",\"legend\":\"{{nic}} Received\"}],\"name\":\"Sent/Received bits / Second\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"util\":\"bitsIEC\",\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"(irate(windows_net_bytes_total{instance=~\\\"$instance\\\",nic!~'isatap.*|VPN.*'}[5m]) * 8 / windows_net_current_bandwidth{instance=~\\\"$instance\\\",nic!~'isatap.*|VPN.*'}) * 100\"}],\"name\":\"Network Util\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{\"decimals\":1},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":8,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"irate(windows_net_packets_outbound_discarded{instance=~\\\"$instance\\\", nic!~'isatap.*|VPN.*'}[5m]) + irate(windows_net_packets_outbound_errors{instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"outbound\"},{\"expr\":\"irate(windows_net_packets_received_discarded{job=~\\\"$job\\\",instance=~\\\"$instance\\\", nic!~'isatap.*|VPN.*'}[5m]) + irate(windows_net_packets_received_errors{job=~\\\"$job\\\",instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"received\"}],\"name\":\"Packets / Second\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":8,\"x\":16,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "System",
|
||||
"weight": 4,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"windows_system_threads{instance=~\\\"$instance\\\"}\"}],\"name\":\"System Threads\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"expr\":\"irate(windows_system_exception_dispatches_total{instance=~\\\"$instance\\\"}[5m])\"}],\"name\":\"System exception dispatches\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"desc\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
|
@ -0,0 +1,55 @@
|
|||
[
|
||||
{
|
||||
"name": "Zookeeper - 模板",
|
||||
"tags": "",
|
||||
"configs": "{\"var\":[{\"name\":\"job\",\"definition\":\"label_values(zk_up,job)\"},{\"definition\":\"label_values(zk_up,instance)\",\"name\":\"instance\"}]}",
|
||||
"chart_groups": [
|
||||
{
|
||||
"name": "overview",
|
||||
"weight": 0,
|
||||
"charts": [
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_up{job=\\\"$job\\\", instance=\\\"$instance\\\"}\",\"legend\":\"up\"}],\"name\":\"up\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":40}},\"options\":{\"valueMappings\":[{\"type\":\"special\",\"match\":{\"special\":1},\"result\":{\"color\":\"#3d950e\",\"text\":\"UP\"}},{\"type\":\"special\",\"match\":{\"special\":0},\"result\":{\"color\":\"#f01414\",\"text\":\"DOWN\"}}],\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":0,\"y\":0,\"i\":\"0\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_znode_count{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}\"}],\"name\":\"zk_znode_count\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":6,\"y\":0,\"i\":\"1\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_watch_count{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}\"}],\"name\":\"zk_watch_count\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":12,\"y\":0,\"i\":\"2\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_ephemerals_count{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"zk_ephemerals_count\"}],\"name\":\"zk_ephemerals_count\",\"custom\":{\"textMode\":\"value\",\"colorMode\":\"value\",\"calc\":\"lastNotNull\",\"colSpan\":1,\"textSize\":{\"value\":50}},\"options\":{\"standardOptions\":{}},\"version\":\"2.0.0\",\"type\":\"stat\",\"layout\":{\"h\":1,\"w\":6,\"x\":18,\"y\":0,\"i\":\"3\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"rate(zk_packets_sent{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}[5m])\",\"legend\":\"{{instance}}-sent\"},{\"expr\":\"rate(zk_packets_received{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}[5m])\",\"refId\":\"B\",\"legend\":\"{{instance}}-received\"}],\"name\":\"Pakages\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":0,\"y\":1,\"i\":\"4\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_num_alive_connections{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}\"}],\"name\":\"alive_connections\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":6,\"y\":3,\"i\":\"5\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_open_file_descriptor_count{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}-open\"},{\"expr\":\"zk_max_file_descriptor_count{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"refId\":\"B\",\"legend\":\"{{instance}}-max\"}],\"name\":\"file_descriptor\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":12,\"y\":3,\"i\":\"6\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_avg_latency{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}-avg\"},{\"expr\":\"zk_min_latency{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"refId\":\"B\",\"legend\":\"{{instance}}-min\"},{\"expr\":\"zk_max_latency{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"refId\":\"C\",\"legend\":\"{{instance}}-max\"}],\"name\":\"latency(ms)\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":18,\"y\":3,\"i\":\"7\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_outstanding_requests{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}\"}],\"name\":\"outstanding_requests\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":6,\"x\":0,\"y\":3,\"i\":\"8\"}}",
|
||||
"weight": 0
|
||||
},
|
||||
{
|
||||
"configs": "{\"targets\":[{\"refId\":\"A\",\"expr\":\"zk_approximate_data_size{job=~\\\"$job\\\", instance=~\\\"$instance\\\"}\",\"legend\":\"{{instance}}\"}],\"name\":\"approximate_data_size\",\"options\":{\"tooltip\":{\"mode\":\"all\",\"sort\":\"none\"},\"legend\":{\"displayMode\":\"hidden\"},\"standardOptions\":{},\"thresholds\":{}},\"custom\":{\"drawStyle\":\"lines\",\"lineInterpolation\":\"smooth\",\"fillOpacity\":0.5,\"stack\":\"off\"},\"version\":\"2.0.0\",\"type\":\"timeseries\",\"layout\":{\"h\":2,\"w\":12,\"x\":12,\"y\":1,\"i\":\"9\"}}",
|
||||
"weight": 0
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
|
@ -29,3 +29,466 @@ diskio_weighted_io_time: 从I/O请求视角来看I/O等待总时间,如果同
|
|||
diskio_write_bytes: 写入的byte数量,counter类型,需要用函数求rate才有使用价值
|
||||
diskio_write_time: 写请求总时间(单位:毫秒),counter类型,需要用函数求rate才有使用价值
|
||||
diskio_writes: 写请求次数,counter类型,需要用函数求rate才有使用价值
|
||||
|
||||
kernel_boot_time: 内核启动时间
|
||||
kernel_context_switches: 内核上下文切换次数
|
||||
kernel_entropy_avail: linux系统内部的熵池
|
||||
kernel_interrupts: 内核中断次数
|
||||
kernel_processes_forked: fork的进程数
|
||||
|
||||
mem_active: 活跃使用的内存总数(包括cache和buffer内存)
|
||||
mem_available: 应用程序可用内存数
|
||||
mem_available_percent: 内存剩余百分比(0~100)
|
||||
mem_buffered: 用来给文件做缓冲大小
|
||||
mem_cached: 被高速缓冲存储器(cache memory)用的内存的大小(等于 diskcache minus SwapCache )
|
||||
mem_commit_limit: 根据超额分配比率('vm.overcommit_ratio'),这是当前在系统上分配可用的内存总量,这个限制只是在模式2('vm.overcommit_memory')时启用
|
||||
mem_committed_as: 目前在系统上分配的内存量。是所有进程申请的内存的总和
|
||||
mem_dirty: 等待被写回到磁盘的内存大小
|
||||
mem_free: 空闲内存数
|
||||
mem_high_free: 未被使用的高位内存大小
|
||||
mem_high_total: 高位内存总大小(Highmem是指所有内存高于860MB的物理内存,Highmem区域供用户程序使用,或用于页面缓存。该区域不是直接映射到内核空间。内核必须使用不同的手法使用该段内存)
|
||||
mem_huge_page_size: 每个大页的大小
|
||||
mem_huge_pages_free: 池中尚未分配的 HugePages 数量
|
||||
mem_huge_pages_total: 预留HugePages的总个数
|
||||
mem_inactive: 空闲的内存数(包括free和avalible的内存)
|
||||
mem_low_free: 未被使用的低位大小
|
||||
mem_low_total: 低位内存总大小,低位可以达到高位内存一样的作用,而且它还能够被内核用来记录一些自己的数据结构
|
||||
mem_mapped: 设备和文件等映射的大小
|
||||
mem_page_tables: 管理内存分页页面的索引表的大小
|
||||
mem_shared: 多个进程共享的内存总额
|
||||
mem_slab: 内核数据结构缓存的大小,可以减少申请和释放内存带来的消耗
|
||||
mem_sreclaimable: 可收回Slab的大小
|
||||
mem_sunreclaim: 不可收回Slab的大小(SUnreclaim+SReclaimable=Slab)
|
||||
mem_swap_cached: 被高速缓冲存储器(cache memory)用的交换空间的大小,已经被交换出来的内存,但仍然被存放在swapfile中。用来在需要的时候很快的被替换而不需要再次打开I/O端口
|
||||
mem_swap_free: 未被使用交换空间的大小
|
||||
mem_swap_total: 交换空间的总大小
|
||||
mem_total: 内存总数
|
||||
mem_used: 已用内存数
|
||||
mem_used_percent: 已用内存数百分比(0~100)
|
||||
mem_vmalloc_chunk: 最大的连续未被使用的vmalloc区域
|
||||
mem_vmalloc_totalL: 可以vmalloc虚拟内存大小
|
||||
mem_vmalloc_used: vmalloc已使用的虚拟内存大小
|
||||
mem_write_back: 正在被写回到磁盘的内存大小
|
||||
mem_write_back_tmp: FUSE用于临时写回缓冲区的内存
|
||||
|
||||
net_bytes_recv: 网卡收包总数(bytes)
|
||||
net_bytes_sent: 网卡发包总数(bytes)
|
||||
net_drop_in: 网卡收丢包数量
|
||||
net_drop_out: 网卡发丢包数量
|
||||
net_err_in: 网卡收包错误数量
|
||||
net_err_out: 网卡发包错误数量
|
||||
net_packets_recv: 网卡收包数量
|
||||
net_packets_sent: 网卡发包数量
|
||||
|
||||
netstat_tcp_established: ESTABLISHED状态的网络链接数
|
||||
netstat_tcp_fin_wait1: FIN_WAIT1状态的网络链接数
|
||||
netstat_tcp_fin_wait2: FIN_WAIT2状态的网络链接数
|
||||
netstat_tcp_last_ack: LAST_ACK状态的网络链接数
|
||||
netstat_tcp_listen: LISTEN状态的网络链接数
|
||||
netstat_tcp_syn_recv: SYN_RECV状态的网络链接数
|
||||
netstat_tcp_syn_sent: SYN_SENT状态的网络链接数
|
||||
netstat_tcp_time_wait: TIME_WAIT状态的网络链接数
|
||||
netstat_udp_socket: UDP状态的网络链接数
|
||||
|
||||
processes_blocked: 不可中断的睡眠状态下的进程数('U','D','L')
|
||||
processes_dead: 回收中的进程数('X')
|
||||
processes_idle: 挂起的空闲进程数('I')
|
||||
processes_paging: 分页进程数('P')
|
||||
processes_running: 运行中的进程数('R')
|
||||
processes_sleeping: 可中断进程数('S')
|
||||
processes_stopped: 暂停状态进程数('T')
|
||||
processes_total: 总进程数
|
||||
processes_total_threads: 总线程数
|
||||
processes_unknown: 未知状态进程数
|
||||
processes_zombies: 僵尸态进程数('Z')
|
||||
|
||||
swap_used_percent: Swap空间换出数据量
|
||||
|
||||
system_load1: 1分钟平均load值
|
||||
system_load5: 5分钟平均load值
|
||||
system_load15: 15分钟平均load值
|
||||
system_n_users: 用户数
|
||||
system_n_cpus: CPU核数
|
||||
system_uptime: 系统启动时间
|
||||
|
||||
nginx_accepts: 自nginx启动起,与客户端建立过得连接总数
|
||||
nginx_active: 当前nginx正在处理的活动连接数,等于Reading/Writing/Waiting总和
|
||||
nginx_handled: 自nginx启动起,处理过的客户端连接总数
|
||||
nginx_reading: 正在读取HTTP请求头部的连接总数
|
||||
nginx_requests: 自nginx启动起,处理过的客户端请求总数,由于存在HTTP Krrp-Alive请求,该值会大于handled值
|
||||
nginx_upstream_check_fall: upstream_check模块检测到后端失败的次数
|
||||
nginx_upstream_check_rise: upstream_check模块对后端的检测次数
|
||||
nginx_upstream_check_status_code: 后端upstream的状态,up为1,down为0
|
||||
nginx_waiting: 开启 keep-alive 的情况下,这个值等于 active – (reading+writing), 意思就是 Nginx 已经处理完正在等候下一次请求指令的驻留连接
|
||||
nginx_writing: 正在向客户端发送响应的连接总数
|
||||
|
||||
http_response_content_length: HTTP消息实体的传输长度
|
||||
http_response_http_response_code: http响应状态码
|
||||
http_response_response_time: http响应用时
|
||||
http_response_result_code: url探测结果0为正常否则url无法访问
|
||||
|
||||
# [mysqld_exporter]
|
||||
mysql_global_status_uptime: The number of seconds that the server has been up.(Gauge)
|
||||
mysql_global_status_uptime_since_flush_status: The number of seconds since the most recent FLUSH STATUS statement.(Gauge)
|
||||
mysql_global_status_queries: The number of statements executed by the server. This variable includes statements executed within stored programs, unlike the Questions variable. It does not count COM_PING or COM_STATISTICS commands.(Counter)
|
||||
mysql_global_status_threads_connected: The number of currently open connections.(Counter)
|
||||
mysql_global_status_connections: The number of connection attempts (successful or not) to the MySQL server.(Gauge)
|
||||
mysql_global_status_max_used_connections: The maximum number of connections that have been in use simultaneously since the server started.(Gauge)
|
||||
mysql_global_status_threads_running: The number of threads that are not sleeping.(Gauge)
|
||||
mysql_global_status_questions: The number of statements executed by the server. This includes only statements sent to the server by clients and not statements executed within stored programs, unlike the Queries variable. This variable does not count COM_PING, COM_STATISTICS, COM_STMT_PREPARE, COM_STMT_CLOSE, or COM_STMT_RESET commands.(Counter)
|
||||
mysql_global_status_threads_cached: The number of threads in the thread cache.(Counter)
|
||||
mysql_global_status_threads_created: The number of threads created to handle connections. If Threads_created is big, you may want to increase the thread_cache_size value. The cache miss rate can be calculated as Threads_created/Connections.(Counter)
|
||||
mysql_global_status_created_tmp_tables: The number of internal temporary tables created by the server while executing statements.(Counter)
|
||||
mysql_global_status_created_tmp_disk_tables: The number of internal on-disk temporary tables created by the server while executing statements. You can compare the number of internal on-disk temporary tables created to the total number of internal temporary tables created by comparing Created_tmp_disk_tables and Created_tmp_tables values.(Counter)
|
||||
mysql_global_status_created_tmp_files: How many temporary files mysqld has created.(Counter)
|
||||
mysql_global_status_select_full_join: The number of joins that perform table scans because they do not use indexes. If this value is not 0, you should carefully check the indexes of your tables.(Counter)
|
||||
mysql_global_status_select_full_range_join: The number of joins that used a range search on a reference table.(Counter)
|
||||
mysql_global_status_select_range: The number of joins that used ranges on the first table. This is normally not a critical issue even if the value is quite large.(Counter)
|
||||
mysql_global_status_select_range_check: The number of joins without keys that check for key usage after each row. If this is not 0, you should carefully check the indexes of your tables.(Counter)
|
||||
mysql_global_status_select_scan: The number of joins that did a full scan of the first table.(Counter)
|
||||
mysql_global_status_sort_rows: The number of sorted rows.(Counter)
|
||||
mysql_global_status_sort_range: The number of sorts that were done using ranges.(Counter)
|
||||
mysql_global_status_sort_merge_passes: The number of merge passes that the sort algorithm has had to do. If this value is large, you should consider increasing the value of the sort_buffer_size system variable.(Counter)
|
||||
mysql_global_status_sort_scan: The number of sorts that were done by scanning the table.(Counter)
|
||||
mysql_global_status_slow_queries: The number of queries that have taken more than long_query_time seconds. This counter increments regardless of whether the slow query log is enabled.(Counter)
|
||||
mysql_global_status_aborted_connects: The number of failed attempts to connect to the MySQL server.(Counter)
|
||||
mysql_global_status_aborted_clients: The number of connections that were aborted because the client died without closing the connection properly.(Counter)
|
||||
mysql_global_status_table_locks_immediate: The number of times that a request for a table lock could be granted immediately. Locks Immediate rising and falling is normal activity.(Counter)
|
||||
mysql_global_status_table_locks_waited: The number of times that a request for a table lock could not be granted immediately and a wait was needed. If this is high and you have performance problems, you should first optimize your queries, and then either split your table or tables or use replication.(Counter)
|
||||
mysql_global_status_bytes_received: The number of bytes received from all clients.(Counter)
|
||||
mysql_global_status_bytes_sent: The number of bytes sent to all clients.(Counter)
|
||||
mysql_global_status_innodb_page_size: InnoDB page size (default 16KB). Many values are counted in pages; the page size enables them to be easily converted to bytes.(Gauge)
|
||||
mysql_global_status_buffer_pool_pages: The number of pages in the InnoDB buffer pool.(Gauge)
|
||||
mysql_global_status_commands_total: The number of times each xxx statement has been executed.(Counter)
|
||||
mysql_global_status_handlers_total: Handler statistics are internal statistics on how MySQL is selecting, updating, inserting, and modifying rows, tables, and indexes. This is in fact the layer between the Storage Engine and MySQL.(Counter)
|
||||
mysql_global_status_opened_files: The number of files that have been opened with my_open() (a mysys library function). Parts of the server that open files without using this function do not increment the count.(Counter)
|
||||
mysql_global_status_open_tables: The number of tables that are open.(Gauge)
|
||||
mysql_global_status_opened_tables: The number of tables that have been opened. If Opened_tables is big, your table_open_cache value is probably too small.(Counter)
|
||||
mysql_global_status_table_open_cache_hits: The number of hits for open tables cache lookups.(Counter)
|
||||
mysql_global_status_table_open_cache_misses: The number of misses for open tables cache lookups.(Counter)
|
||||
mysql_global_status_table_open_cache_overflows: The number of overflows for the open tables cache.(Counter)
|
||||
mysql_global_status_innodb_num_open_files: The number of files InnoDB currently holds open.(Gauge)
|
||||
mysql_global_status_connection_errors_total: These variables provide information about errors that occur during the client connection process.(Counter)
|
||||
mysql_global_status_innodb_buffer_pool_read_requests: The number of logical read requests.(Counter)
|
||||
mysql_global_status_innodb_buffer_pool_reads: The number of logical reads that InnoDB could not satisfy from the buffer pool, and had to read directly from disk.(Counter)
|
||||
|
||||
mysql_global_variables_thread_cache_size: How many threads the server should cache for reuse.(Gauge)
|
||||
mysql_global_variables_max_connections: The maximum permitted number of simultaneous client connections.(Gauge)
|
||||
mysql_global_variables_innodb_buffer_pool_size: The size in bytes of the buffer pool, the memory area where InnoDB caches table and index data. The default value is 134217728 bytes (128MB).(Gauge)
|
||||
mysql_global_variables_innodb_log_buffer_size: The size in bytes of the buffer that InnoDB uses to write to the log files on disk.(Gauge)
|
||||
mysql_global_variables_key_buffer_size: Index blocks for MyISAM tables are buffered and are shared by all threads.(Gauge)
|
||||
mysql_global_variables_query_cache_size: The amount of memory allocated for caching query results.(Gauge)
|
||||
mysql_global_variables_table_open_cache: The number of open tables for all threads.(Gauge)
|
||||
mysql_global_variables_open_files_limit: The number of file descriptors available to mysqld from the operating system.(Gauge)
|
||||
|
||||
# [redis_exporter]
|
||||
redis_active_defrag_running: When activedefrag is enabled, this indicates whether defragmentation is currently active, and the CPU percentage it intends to utilize.
|
||||
redis_allocator_active_bytes: Total bytes in the allocator active pages, this includes external-fragmentation.
|
||||
redis_allocator_allocated_bytes: Total bytes allocated form the allocator, including internal-fragmentation. Normally the same as used_memory.
|
||||
redis_allocator_frag_bytes: Delta between allocator_active and allocator_allocated. See note about mem_fragmentation_bytes.
|
||||
redis_allocator_frag_ratio: Ratio between allocator_active and allocator_allocated. This is the true (external) fragmentation metric (not mem_fragmentation_ratio).
|
||||
redis_allocator_resident_bytes: Total bytes resident (RSS) in the allocator, this includes pages that can be released to the OS (by MEMORY PURGE, or just waiting).
|
||||
redis_allocator_rss_bytes: Delta between allocator_resident and allocator_active.
|
||||
redis_allocator_rss_ratio: Ratio between allocator_resident and allocator_active. This usually indicates pages that the allocator can and probably will soon release back to the OS.
|
||||
redis_aof_current_rewrite_duration_sec: Duration of the on-going AOF rewrite operation if any.
|
||||
redis_aof_enabled: Flag indicating AOF logging is activated.
|
||||
redis_aof_last_bgrewrite_status: Status of the last AOF rewrite operation.
|
||||
redis_aof_last_cow_size_bytes: The size in bytes of copy-on-write memory during the last AOF rewrite operation.
|
||||
redis_aof_last_rewrite_duration_sec: Duration of the last AOF rewrite operation in seconds.
|
||||
redis_aof_last_write_status: Status of the last write operation to the AOF.
|
||||
redis_aof_rewrite_in_progress: Flag indicating a AOF rewrite operation is on-going.
|
||||
redis_aof_rewrite_scheduled: Flag indicating an AOF rewrite operation will be scheduled once the on-going RDB save is complete.
|
||||
redis_blocked_clients: Number of clients pending on a blocking call (BLPOP, BRPOP, BRPOPLPUSH, BLMOVE, BZPOPMIN, BZPOPMAX).
|
||||
redis_client_recent_max_input_buffer_bytes: Biggest input buffer among current client connections.
|
||||
redis_client_recent_max_output_buffer_bytes: Biggest output buffer among current client connections.
|
||||
redis_cluster_enabled: Indicate Redis cluster is enabled.
|
||||
redis_commands_duration_seconds_total: The total CPU time consumed by these commands.(Counter)
|
||||
redis_commands_processed_total: Total number of commands processed by the server.(Counter)
|
||||
redis_commands_total: The number of calls that reached command execution (not rejected).(Counter)
|
||||
redis_config_maxclients: The value of the maxclients configuration directive. This is the upper limit for the sum of connected_clients, connected_slaves and cluster_connections.
|
||||
redis_config_maxmemory: The value of the maxmemory configuration directive.
|
||||
redis_connected_clients: Number of client connections (excluding connections from replicas).
|
||||
redis_connected_slaves: Number of connected replicas.
|
||||
redis_connections_received_total: Total number of connections accepted by the server.(Counter)
|
||||
redis_cpu_sys_children_seconds_total: System CPU consumed by the background processes.(Counter)
|
||||
redis_cpu_sys_seconds_total: System CPU consumed by the Redis server, which is the sum of system CPU consumed by all threads of the server process (main thread and background threads).(Counter)
|
||||
redis_cpu_user_children_seconds_total: User CPU consumed by the background processes.(Counter)
|
||||
redis_cpu_user_seconds_total: User CPU consumed by the Redis server, which is the sum of user CPU consumed by all threads of the server process (main thread and background threads).(Counter)
|
||||
redis_db_keys: Total number of keys by DB.
|
||||
redis_db_keys_expiring: Total number of expiring keys by DB
|
||||
redis_defrag_hits: Number of value reallocations performed by active the defragmentation process.
|
||||
redis_defrag_misses: Number of aborted value reallocations started by the active defragmentation process.
|
||||
redis_defrag_key_hits: Number of keys that were actively defragmented.
|
||||
redis_defrag_key_misses: Number of keys that were skipped by the active defragmentation process.
|
||||
redis_evicted_keys_total: Number of evicted keys due to maxmemory limit.(Counter)
|
||||
redis_expired_keys_total: Total number of key expiration events.(Counter)
|
||||
redis_expired_stale_percentage: The percentage of keys probably expired.
|
||||
redis_expired_time_cap_reached_total: The count of times that active expiry cycles have stopped early.
|
||||
redis_exporter_last_scrape_connect_time_seconds: The duration(in seconds) to connect when scrape.
|
||||
redis_exporter_last_scrape_duration_seconds: The last scrape duration.
|
||||
redis_exporter_last_scrape_error: The last scrape error status.
|
||||
redis_exporter_scrape_duration_seconds_count: Durations of scrapes by the exporter
|
||||
redis_exporter_scrape_duration_seconds_sum: Durations of scrapes by the exporter
|
||||
redis_exporter_scrapes_total: Current total redis scrapes.(Counter)
|
||||
redis_instance_info: Information about the Redis instance.
|
||||
redis_keyspace_hits_total: Hits total.(Counter)
|
||||
redis_keyspace_misses_total: Misses total.(Counter)
|
||||
redis_last_key_groups_scrape_duration_milliseconds: Duration of the last key group metrics scrape in milliseconds.
|
||||
redis_last_slow_execution_duration_seconds: The amount of time needed for last slow execution, in seconds.
|
||||
redis_latest_fork_seconds: The amount of time needed for last fork, in seconds.
|
||||
redis_lazyfree_pending_objects: The number of objects waiting to be freed (as a result of calling UNLINK, or FLUSHDB and FLUSHALL with the ASYNC option).
|
||||
redis_master_repl_offset: The server's current replication offset.
|
||||
redis_mem_clients_normal: Memory used by normal clients.(Gauge)
|
||||
redis_mem_clients_slaves: Memory used by replica clients - Starting Redis 7.0, replica buffers share memory with the replication backlog, so this field can show 0 when replicas don't trigger an increase of memory usage.
|
||||
redis_mem_fragmentation_bytes: Delta between used_memory_rss and used_memory. Note that when the total fragmentation bytes is low (few megabytes), a high ratio (e.g. 1.5 and above) is not an indication of an issue.
|
||||
redis_mem_fragmentation_ratio: Ratio between used_memory_rss and used_memory. Note that this doesn't only includes fragmentation, but also other process overheads (see the allocator_* metrics), and also overheads like code, shared libraries, stack, etc.
|
||||
redis_mem_not_counted_for_eviction_bytes: (Gauge)
|
||||
redis_memory_max_bytes: Max memory limit in bytes.
|
||||
redis_memory_used_bytes: Total number of bytes allocated by Redis using its allocator (either standard libc, jemalloc, or an alternative allocator such as tcmalloc)
|
||||
redis_memory_used_dataset_bytes: The size in bytes of the dataset (used_memory_overhead subtracted from used_memory)
|
||||
redis_memory_used_lua_bytes: Number of bytes used by the Lua engine.
|
||||
redis_memory_used_overhead_bytes: The sum in bytes of all overheads that the server allocated for managing its internal data structures.
|
||||
redis_memory_used_peak_bytes: Peak memory consumed by Redis (in bytes)
|
||||
redis_memory_used_rss_bytes: Number of bytes that Redis allocated as seen by the operating system (a.k.a resident set size). This is the number reported by tools such as top(1) and ps(1)
|
||||
redis_memory_used_scripts_bytes: Number of bytes used by cached Lua scripts
|
||||
redis_memory_used_startup_bytes: Initial amount of memory consumed by Redis at startup in bytes
|
||||
redis_migrate_cached_sockets_total: The number of sockets open for MIGRATE purposes
|
||||
redis_net_input_bytes_total: Total input bytes(Counter)
|
||||
redis_net_output_bytes_total: Total output bytes(Counter)
|
||||
redis_process_id: Process ID
|
||||
redis_pubsub_channels: Global number of pub/sub channels with client subscriptions
|
||||
redis_pubsub_patterns: Global number of pub/sub pattern with client subscriptions
|
||||
redis_rdb_bgsave_in_progress: Flag indicating a RDB save is on-going
|
||||
redis_rdb_changes_since_last_save: Number of changes since the last dump
|
||||
redis_rdb_current_bgsave_duration_sec: Duration of the on-going RDB save operation if any
|
||||
redis_rdb_last_bgsave_duration_sec: Duration of the last RDB save operation in seconds
|
||||
redis_rdb_last_bgsave_status: Status of the last RDB save operation
|
||||
redis_rdb_last_cow_size_bytes: The size in bytes of copy-on-write memory during the last RDB save operation
|
||||
redis_rdb_last_save_timestamp_seconds: Epoch-based timestamp of last successful RDB save
|
||||
redis_rejected_connections_total: Number of connections rejected because of maxclients limit(Counter)
|
||||
redis_repl_backlog_first_byte_offset: The master offset of the replication backlog buffer
|
||||
redis_repl_backlog_history_bytes: Size in bytes of the data in the replication backlog buffer
|
||||
redis_repl_backlog_is_active: Flag indicating replication backlog is active
|
||||
redis_replica_partial_resync_accepted: The number of accepted partial resync requests(Gauge)
|
||||
redis_replica_partial_resync_denied: The number of denied partial resync requests(Gauge)
|
||||
redis_replica_resyncs_full: The number of full resyncs with replicas
|
||||
redis_replication_backlog_bytes: Memory used by replication backlog
|
||||
redis_second_repl_offset: The offset up to which replication IDs are accepted.
|
||||
redis_slave_expires_tracked_keys: The number of keys tracked for expiry purposes (applicable only to writable replicas)(Gauge)
|
||||
redis_slowlog_last_id: Last id of slowlog
|
||||
redis_slowlog_length: Total slowlog
|
||||
redis_start_time_seconds: Start time of the Redis instance since unix epoch in seconds.
|
||||
redis_target_scrape_request_errors_total: Errors in requests to the exporter
|
||||
redis_up: Flag indicating redis instance is up
|
||||
redis_uptime_in_seconds: Number of seconds since Redis server start
|
||||
|
||||
# [windows_exporter]
|
||||
windows_cpu_clock_interrupts_total: Total number of received and serviced clock tick interrupts(counter)
|
||||
windows_cpu_core_frequency_mhz: Core frequency in megahertz(gauge)
|
||||
windows_cpu_cstate_seconds_total: Time spent in low-power idle state(counter)
|
||||
windows_cpu_dpcs_total: Total number of received and serviced deferred procedure calls (DPCs)(counter)
|
||||
windows_cpu_idle_break_events_total: Total number of time processor was woken from idle(counter)
|
||||
windows_cpu_interrupts_total: Total number of received and serviced hardware interrupts(counter)
|
||||
windows_cpu_parking_status: Parking Status represents whether a processor is parked or not(gauge)
|
||||
windows_cpu_processor_performance: Processor Performance is the average performance of the processor while it is executing instructions, as a percentage of the nominal performance of the processor. On some processors, Processor Performance may exceed 100%(gauge)
|
||||
windows_cpu_time_total: Time that processor spent in different modes (idle, user, system, ...)(counter)
|
||||
windows_cs_hostname: Labeled system hostname information as provided by ComputerSystem.DNSHostName and ComputerSystem.Domain(gauge)
|
||||
windows_cs_logical_processors: ComputerSystem.NumberOfLogicalProcessors(gauge)
|
||||
windows_cs_physical_memory_bytes: ComputerSystem.TotalPhysicalMemory(gauge)
|
||||
windows_exporter_build_info: A metric with a constant '1' value labeled by version, revision, branch, and goversion from which windows_exporter was built.(gauge)
|
||||
windows_exporter_collector_duration_seconds: Duration of a collection.(gauge)
|
||||
windows_exporter_collector_success: Whether the collector was successful.(gauge)
|
||||
windows_exporter_collector_timeout: Whether the collector timed out.(gauge)
|
||||
windows_exporter_perflib_snapshot_duration_seconds: Duration of perflib snapshot capture(gauge)
|
||||
windows_logical_disk_free_bytes: Free space in bytes (LogicalDisk.PercentFreeSpace)(gauge)
|
||||
windows_logical_disk_idle_seconds_total: Seconds that the disk was idle (LogicalDisk.PercentIdleTime)(counter)
|
||||
windows_logical_disk_read_bytes_total: The number of bytes transferred from the disk during read operations (LogicalDisk.DiskReadBytesPerSec)(counter)
|
||||
windows_logical_disk_read_latency_seconds_total: Shows the average time, in seconds, of a read operation from the disk (LogicalDisk.AvgDiskSecPerRead)(counter)
|
||||
windows_logical_disk_read_seconds_total: Seconds that the disk was busy servicing read requests (LogicalDisk.PercentDiskReadTime)(counter)
|
||||
windows_logical_disk_read_write_latency_seconds_total: Shows the time, in seconds, of the average disk transfer (LogicalDisk.AvgDiskSecPerTransfer)(counter)
|
||||
windows_logical_disk_reads_total: The number of read operations on the disk (LogicalDisk.DiskReadsPerSec)(counter)
|
||||
windows_logical_disk_requests_queued: The number of requests queued to the disk (LogicalDisk.CurrentDiskQueueLength)(gauge)
|
||||
windows_logical_disk_size_bytes: Total space in bytes (LogicalDisk.PercentFreeSpace_Base)(gauge)
|
||||
windows_logical_disk_split_ios_total: The number of I/Os to the disk were split into multiple I/Os (LogicalDisk.SplitIOPerSec)(counter)
|
||||
windows_logical_disk_write_bytes_total: The number of bytes transferred to the disk during write operations (LogicalDisk.DiskWriteBytesPerSec)(counter)
|
||||
windows_logical_disk_write_latency_seconds_total: Shows the average time, in seconds, of a write operation to the disk (LogicalDisk.AvgDiskSecPerWrite)(counter)
|
||||
windows_logical_disk_write_seconds_total: Seconds that the disk was busy servicing write requests (LogicalDisk.PercentDiskWriteTime)(counter)
|
||||
windows_logical_disk_writes_total: The number of write operations on the disk (LogicalDisk.DiskWritesPerSec)(counter)
|
||||
windows_net_bytes_received_total: (Network.BytesReceivedPerSec)(counter)
|
||||
windows_net_bytes_sent_total: (Network.BytesSentPerSec)(counter)
|
||||
windows_net_bytes_total: (Network.BytesTotalPerSec)(counter)
|
||||
windows_net_current_bandwidth: (Network.CurrentBandwidth)(gauge)
|
||||
windows_net_packets_outbound_discarded_total: (Network.PacketsOutboundDiscarded)(counter)
|
||||
windows_net_packets_outbound_errors_total: (Network.PacketsOutboundErrors)(counter)
|
||||
windows_net_packets_received_discarded_total: (Network.PacketsReceivedDiscarded)(counter)
|
||||
windows_net_packets_received_errors_total: (Network.PacketsReceivedErrors)(counter)
|
||||
windows_net_packets_received_total: (Network.PacketsReceivedPerSec)(counter)
|
||||
windows_net_packets_received_unknown_total: (Network.PacketsReceivedUnknown)(counter)
|
||||
windows_net_packets_sent_total: (Network.PacketsSentPerSec)(counter)
|
||||
windows_net_packets_total: (Network.PacketsPerSec)(counter)
|
||||
windows_os_info: OperatingSystem.Caption, OperatingSystem.Version(gauge)
|
||||
windows_os_paging_free_bytes: OperatingSystem.FreeSpaceInPagingFiles(gauge)
|
||||
windows_os_paging_limit_bytes: OperatingSystem.SizeStoredInPagingFiles(gauge)
|
||||
windows_os_physical_memory_free_bytes: OperatingSystem.FreePhysicalMemory(gauge)
|
||||
windows_os_process_memory_limix_bytes: OperatingSystem.MaxProcessMemorySize(gauge)
|
||||
windows_os_processes: OperatingSystem.NumberOfProcesses(gauge)
|
||||
windows_os_processes_limit: OperatingSystem.MaxNumberOfProcesses(gauge)
|
||||
windows_os_time: OperatingSystem.LocalDateTime(gauge)
|
||||
windows_os_timezone: OperatingSystem.LocalDateTime(gauge)
|
||||
windows_os_users: OperatingSystem.NumberOfUsers(gauge)
|
||||
windows_os_virtual_memory_bytes: OperatingSystem.TotalVirtualMemorySize(gauge)
|
||||
windows_os_virtual_memory_free_bytes: OperatingSystem.FreeVirtualMemory(gauge)
|
||||
windows_os_visible_memory_bytes: OperatingSystem.TotalVisibleMemorySize(gauge)
|
||||
windows_service_info: A metric with a constant '1' value labeled with service information(gauge)
|
||||
windows_service_start_mode: The start mode of the service (StartMode)(gauge)
|
||||
windows_service_state: The state of the service (State)(gauge)
|
||||
windows_service_status: The status of the service (Status)(gauge)
|
||||
windows_system_context_switches_total: Total number of context switches (WMI source is PerfOS_System.ContextSwitchesPersec)(counter)
|
||||
windows_system_exception_dispatches_total: Total number of exceptions dispatched (WMI source is PerfOS_System.ExceptionDispatchesPersec)(counter)
|
||||
windows_system_processor_queue_length: Length of processor queue (WMI source is PerfOS_System.ProcessorQueueLength)(gauge)
|
||||
windows_system_system_calls_total: Total number of system calls (WMI source is PerfOS_System.SystemCallsPersec)(counter)
|
||||
windows_system_system_up_time: System boot time (WMI source is PerfOS_System.SystemUpTime)(gauge)
|
||||
windows_system_threads: Current number of threads (WMI source is PerfOS_System.Threads)(gauge)
|
||||
|
||||
# [node_exporter]
|
||||
# SYSTEM
|
||||
# CPU context switch 次数
|
||||
node_context_switches_total: context_switches
|
||||
# Interrupts 次数
|
||||
node_intr_total: Interrupts
|
||||
# 运行的进程数
|
||||
node_procs_running: Processes in runnable state
|
||||
# 熵池大小
|
||||
node_entropy_available_bits: Entropy available to random number generators
|
||||
node_time_seconds: System time in seconds since epoch (1970)
|
||||
node_boot_time_seconds: Node boot time, in unixtime
|
||||
# CPU
|
||||
node_cpu_seconds_total: Seconds the CPUs spent in each mode
|
||||
node_load1: cpu load 1m
|
||||
node_load5: cpu load 5m
|
||||
node_load15: cpu load 15m
|
||||
|
||||
# MEM
|
||||
# 内核态
|
||||
# 用户追踪已从交换区获取但尚未修改的页面的内存
|
||||
node_memory_SwapCached_bytes: Memory that keeps track of pages that have been fetched from swap but not yet been modified
|
||||
# 内核用于缓存数据结构供自己使用的内存
|
||||
node_memory_Slab_bytes: Memory used by the kernel to cache data structures for its own use
|
||||
# slab中可回收的部分
|
||||
node_memory_SReclaimable_bytes: SReclaimable - Part of Slab, that might be reclaimed, such as caches
|
||||
# slab中不可回收的部分
|
||||
node_memory_SUnreclaim_bytes: Part of Slab, that cannot be reclaimed on memory pressure
|
||||
# Vmalloc内存区的大小
|
||||
node_memory_VmallocTotal_bytes: Total size of vmalloc memory area
|
||||
# vmalloc已分配的内存,虚拟地址空间上的连续的内存
|
||||
node_memory_VmallocUsed_bytes: Amount of vmalloc area which is used
|
||||
# vmalloc区可用的连续最大快的大小,通过此指标可以知道vmalloc可分配连续内存的最大值
|
||||
node_memory_VmallocChunk_bytes: Largest contigious block of vmalloc area which is free
|
||||
# 内存的硬件故障删除掉的内存页的总大小
|
||||
node_memory_HardwareCorrupted_bytes: Amount of RAM that the kernel identified as corrupted / not working
|
||||
# 用于在虚拟和物理内存地址之间映射的内存
|
||||
node_memory_PageTables_bytes: Memory used to map between virtual and physical memory addresses (gauge)
|
||||
# 内核栈内存,常驻内存,不可回收
|
||||
node_memory_KernelStack_bytes: Kernel memory stack. This is not reclaimable
|
||||
# 用来访问高端内存,复制高端内存的临时buffer,称为“bounce buffering”,会降低I/O 性能
|
||||
node_memory_Bounce_bytes: Memory used for block device bounce buffers
|
||||
#用户态
|
||||
# 单个巨页大小
|
||||
node_memory_Hugepagesize_bytes: Huge Page size
|
||||
# 系统分配的常驻巨页数
|
||||
node_memory_HugePages_Total: Total size of the pool of huge pages
|
||||
# 系统空闲的巨页数
|
||||
node_memory_HugePages_Free: Huge pages in the pool that are not yet allocated
|
||||
# 进程已申请但未使用的巨页数
|
||||
node_memory_HugePages_Rsvd: Huge pages for which a commitment to allocate from the pool has been made, but no allocation
|
||||
# 超过系统设定的常驻HugePages数量的个数
|
||||
node_memory_HugePages_Surp: Huge pages in the pool above the value in /proc/sys/vm/nr_hugepages
|
||||
# 透明巨页 Transparent HugePages (THP)
|
||||
node_memory_AnonHugePages_bytes: Memory in anonymous huge pages
|
||||
# inactivelist中的File-backed内存
|
||||
node_memory_Inactive_file_bytes: File-backed memory on inactive LRU list
|
||||
# inactivelist中的Anonymous内存
|
||||
node_memory_Inactive_anon_bytes: Anonymous and swap cache on inactive LRU list, including tmpfs (shmem)
|
||||
# activelist中的File-backed内存
|
||||
node_memory_Active_file_bytes: File-backed memory on active LRU list
|
||||
# activelist中的Anonymous内存
|
||||
node_memory_Active_anon_bytes: Anonymous and swap cache on active least-recently-used (LRU) list, including tmpfs
|
||||
# 禁止换出的页,对应 Unevictable 链表
|
||||
node_memory_Unevictable_bytes: Amount of unevictable memory that can't be swapped out for a variety of reasons
|
||||
# 共享内存
|
||||
node_memory_Shmem_bytes: Used shared memory (shared between several processes, thus including RAM disks)
|
||||
# 匿名页内存大小
|
||||
node_memory_AnonPages_bytes: Memory in user pages not backed by files
|
||||
# 被关联的内存页大小
|
||||
node_memory_Mapped_bytes: Used memory in mapped pages files which have been mmaped, such as libraries
|
||||
# file-backed内存页缓存大小
|
||||
node_memory_Cached_bytes: Parked file data (file content) cache
|
||||
# 系统中有多少匿名页曾经被swap-out、现在又被swap-in并且swap-in之后页面中的内容一直没发生变化
|
||||
node_memory_SwapCached_bytes: Memory that keeps track of pages that have been fetched from swap but not yet been modified
|
||||
# 被mlock()系统调用锁定的内存大小
|
||||
node_memory_Mlocked_bytes: Size of pages locked to memory using the mlock() system call
|
||||
# 块设备(block device)所占用的缓存页
|
||||
node_memory_Buffers_bytes: Block device (e.g. harddisk) cache
|
||||
node_memory_SwapTotal_bytes: Memory information field SwapTotal_bytes
|
||||
node_memory_SwapFree_bytes: Memory information field SwapFree_bytes
|
||||
|
||||
# DISK
|
||||
node_filesystem_files_free: Filesystem space available to non-root users in byte
|
||||
node_filesystem_free_bytes: Filesystem free space in bytes
|
||||
node_filesystem_size_bytes: Filesystem size in bytes
|
||||
node_filesystem_files_free: Filesystem total free file nodes
|
||||
node_filesystem_files: Filesystem total free file nodes
|
||||
node_filefd_maximum: Max open files
|
||||
node_filefd_allocated: Open files
|
||||
node_filesystem_readonly: Filesystem read-only status
|
||||
node_filesystem_device_error: Whether an error occurred while getting statistics for the given device
|
||||
node_disk_reads_completed_total: The total number of reads completed successfully
|
||||
node_disk_writes_completed_total: The total number of writes completed successfully
|
||||
node_disk_reads_merged_total: The number of reads merged
|
||||
node_disk_writes_merged_total: The number of writes merged
|
||||
node_disk_read_bytes_total: The total number of bytes read successfully
|
||||
node_disk_written_bytes_total: The total number of bytes written successfully
|
||||
node_disk_io_time_seconds_total: Total seconds spent doing I/Os
|
||||
node_disk_read_time_seconds_total: The total number of seconds spent by all reads
|
||||
node_disk_write_time_seconds_total: The total number of seconds spent by all writes
|
||||
node_disk_io_time_weighted_seconds_total: The weighted of seconds spent doing I/Os
|
||||
|
||||
# NET
|
||||
node_network_receive_bytes_total: Network device statistic receive_bytes (counter)
|
||||
node_network_transmit_bytes_total: Network device statistic transmit_bytes (counter)
|
||||
node_network_receive_packets_total: Network device statistic receive_bytes
|
||||
node_network_transmit_packets_total: Network device statistic transmit_bytes
|
||||
node_network_receive_errs_total: Network device statistic receive_errs
|
||||
node_network_transmit_errs_total: Network device statistic transmit_errs
|
||||
node_network_receive_drop_total: Network device statistic receive_drop
|
||||
node_network_transmit_drop_total: Network device statistic transmit_drop
|
||||
node_nf_conntrack_entries: Number of currently allocated flow entries for connection tracking
|
||||
node_sockstat_TCP_alloc: Number of TCP sockets in state alloc
|
||||
node_sockstat_TCP_inuse: Number of TCP sockets in state inuse
|
||||
node_sockstat_TCP_orphan: Number of TCP sockets in state orphan
|
||||
node_sockstat_TCP_tw: Number of TCP sockets in state tw
|
||||
node_netstat_Tcp_CurrEstab: Statistic TcpCurrEstab
|
||||
node_sockstat_sockets_used: Number of IPv4 sockets in use
|
||||
|
||||
# [kafka_exporter]
|
||||
kafka_brokers: count of kafka_brokers (gauge)
|
||||
kafka_topic_partitions: Number of partitions for this Topic (gauge)
|
||||
kafka_topic_partition_current_offset: Current Offset of a Broker at Topic/Partition (gauge)
|
||||
kafka_consumergroup_current_offset: Current Offset of a ConsumerGroup at Topic/Partition (gauge)
|
||||
kafka_consumer_lag_millis: Current approximation of consumer lag for a ConsumerGroup at Topic/Partition (gauge)
|
||||
kafka_topic_partition_under_replicated_partition: 1 if Topic/Partition is under Replicated
|
||||
|
||||
# [zookeeper_exporter]
|
||||
zk_znode_count: The total count of znodes stored
|
||||
zk_ephemerals_count: The number of Ephemerals nodes
|
||||
zk_watch_count: The number of watchers setup over Zookeeper nodes.
|
||||
zk_approximate_data_size: Size of data in bytes that a zookeeper server has in its data tree
|
||||
zk_outstanding_requests: Number of currently executing requests
|
||||
zk_packets_sent: Count of the number of zookeeper packets sent from a server
|
||||
zk_packets_received: Count of the number of zookeeper packets received by a server
|
||||
zk_num_alive_connections: Number of active clients connected to a zookeeper server
|
||||
zk_open_file_descriptor_count: Number of file descriptors that a zookeeper server has open
|
||||
zk_max_file_descriptor_count: Maximum number of file descriptors that a zookeeper server can open
|
||||
zk_avg_latency: Average time in milliseconds for requests to be processed
|
||||
zk_min_latency: Maximum time in milliseconds for a request to be processed
|
||||
zk_max_latency: Minimum time in milliseconds for a request to be processed
|
|
@ -6,6 +6,9 @@ import urllib2
|
|||
import smtplib
|
||||
from email.mime.text import MIMEText
|
||||
|
||||
reload(sys)
|
||||
sys.setdefaultencoding('utf8')
|
||||
|
||||
notify_channel_funcs = {
|
||||
"email":"email",
|
||||
"sms":"sms",
|
||||
|
@ -86,7 +89,13 @@ class Sender(object):
|
|||
|
||||
@classmethod
|
||||
def send_dingtalk(cls, payload):
|
||||
users = payload.get('event').get("notify_users_obj")
|
||||
event = payload.get('event')
|
||||
users = event.get("notify_users_obj")
|
||||
|
||||
rule_name = event.get("rule_name")
|
||||
event_state = "Triggered"
|
||||
if event.get("is_recovered"):
|
||||
event_state = "Recovered"
|
||||
|
||||
tokens = {}
|
||||
phones = {}
|
||||
|
@ -105,9 +114,10 @@ class Sender(object):
|
|||
for t in tokens:
|
||||
url = "https://oapi.dingtalk.com/robot/send?access_token={}".format(t)
|
||||
body = {
|
||||
"msgtype": "text",
|
||||
"text": {
|
||||
"content": payload.get('tpls').get("dingtalk.tpl", "dingtalk.tpl not found")
|
||||
"msgtype": "markdown",
|
||||
"markdown": {
|
||||
"title": "{} - {}".format(event_state, rule_name),
|
||||
"text": payload.get('tpls').get("dingtalk.tpl", "dingtalk.tpl not found") + ' '.join(["@"+i for i in phones.keys()])
|
||||
},
|
||||
"at": {
|
||||
"atMobiles": phones.keys(),
|
||||
|
|
|
@ -0,0 +1,9 @@
|
|||
|
||||
.phony: all
|
||||
all: plugin
|
||||
|
||||
.phony: plugin
|
||||
plugin:
|
||||
export GOPROXY=http://goproxy.cn,direct
|
||||
go build -buildmode=plugin -o notify.so notify.go
|
||||
|
|
@ -0,0 +1,35 @@
|
|||
通过go plugin模式处理告警通知
|
||||
---
|
||||
|
||||
相比于调用py脚本方式,该方式一般无需考虑依赖问题
|
||||
|
||||
### (1) 编写动态链接库逻辑
|
||||
|
||||
```go
|
||||
package main
|
||||
|
||||
type inter interface {
|
||||
Descript() string
|
||||
Notify([]byte)
|
||||
}
|
||||
|
||||
// 0、Descript 可用于该插件在 server 中的描述
|
||||
// 1、在 Notify 方法中实现要处理的自定义逻辑
|
||||
```
|
||||
|
||||
实现以上接口的 `struct` 实例即为合法 `plugin`
|
||||
|
||||
### (2) 构建链接库
|
||||
|
||||
参考 `notify.go` 实现方式,执行 `make` 后可以看到生成一个 `notify.so` 链接文件,放到 n9e 对应项目位置即可
|
||||
|
||||
### (3) 更新 n9e 配置
|
||||
|
||||
```text
|
||||
[Alerting.CallPlugin]
|
||||
Enable = false
|
||||
PluginPath = "./etc/script/notify.so"
|
||||
# 注意此处caller必须在notify.so中作为变量暴露
|
||||
Caller = "n9eCaller"
|
||||
```
|
||||
|
|
@ -0,0 +1,45 @@
|
|||
package main
|
||||
|
||||
import (
|
||||
"fmt"
|
||||
"time"
|
||||
|
||||
"github.com/tidwall/gjson"
|
||||
)
|
||||
|
||||
// the caller can be called for alerting notify by complete this interface
|
||||
type inter interface {
|
||||
Descript() string
|
||||
Notify([]byte)
|
||||
}
|
||||
|
||||
// N9E complete
|
||||
type N9EPlugin struct {
|
||||
Name string
|
||||
Description string
|
||||
BuildAt string
|
||||
}
|
||||
|
||||
func (n *N9EPlugin) Descript() string {
|
||||
return fmt.Sprintf("%s: %s", n.Name, n.Description)
|
||||
}
|
||||
|
||||
func (n *N9EPlugin) Notify(bs []byte) {
|
||||
var channels = []string{
|
||||
"dingtalk_robot_token",
|
||||
"wecom_robot_token",
|
||||
"feishu_robot_token",
|
||||
}
|
||||
for _, ch := range channels {
|
||||
if ret := gjson.GetBytes(bs, ch); ret.Exists() {
|
||||
fmt.Printf("do something...")
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
// will be loaded for alertingCall
|
||||
var n9eCaller = N9EPlugin{
|
||||
Name: "n9e",
|
||||
Description: "演示告警通过动态链接库方式通知",
|
||||
BuildAt: time.Now().Local().Format("2006/01/02 15:04:05"),
|
||||
}
|
|
@ -70,8 +70,8 @@ Batch = 5
|
|||
[Alerting]
|
||||
TemplatesDir = "./etc/template"
|
||||
NotifyConcurrency = 10
|
||||
# use builtin go code notify by default
|
||||
NotifyBuiltinEnable = true
|
||||
# use builtin go code notify
|
||||
NotifyBuiltinChannels = ["email", "dingtalk", "wecom", "feishu"]
|
||||
|
||||
[Alerting.CallScript]
|
||||
# built in sending capability in go code
|
||||
|
|
|
@ -1,6 +1,11 @@
|
|||
级别状态: S{{.Severity}} {{if .IsRecovered}}Recovered{{else}}Triggered{{end}}
|
||||
规则名称: {{.RuleName}}{{if .RuleNote}}
|
||||
规则备注: {{.RuleNote}}{{end}}
|
||||
监控指标: {{.TagsJSON}}
|
||||
{{if .IsRecovered}}恢复时间:{{timeformat .LastEvalTime}}{{else}}触发时间: {{timeformat .TriggerTime}}
|
||||
触发时值: {{.TriggerValue}}{{end}}
|
||||
#### {{if .IsRecovered}}<font color="#008800">S{{.Severity}} - Recovered - {{.RuleName}}</font>{{else}}<font color="#FF0000">S{{.Severity}} - Triggered - {{.RuleName}}</font>{{end}}
|
||||
|
||||
---
|
||||
|
||||
- **规则标题**: {{.RuleName}}{{if .RuleNote}}
|
||||
- **规则备注**: {{.RuleNote}}{{end}}
|
||||
- **监控指标**: {{.TagsJSON}}
|
||||
- {{if .IsRecovered}}**恢复时间**:{{timeformat .LastEvalTime}}{{else}}**触发时间**: {{timeformat .TriggerTime}}
|
||||
- **触发时值**: {{.TriggerValue}}{{end}}
|
||||
- **发送时间**: {{timestamp}}
|
||||
|
||||
|
|
|
@ -3,4 +3,5 @@
|
|||
规则备注: {{.RuleNote}}{{end}}
|
||||
监控指标: {{.TagsJSON}}
|
||||
{{if .IsRecovered}}恢复时间:{{timeformat .LastEvalTime}}{{else}}触发时间: {{timeformat .TriggerTime}}
|
||||
触发时值: {{.TriggerValue}}{{end}}
|
||||
触发时值: {{.TriggerValue}}{{end}}
|
||||
发送时间: {{timestamp}}
|
|
@ -22,7 +22,7 @@
|
|||
border-radius: 2px 2px 0 0;
|
||||
}
|
||||
header .title {
|
||||
font-size: 16px;
|
||||
font-size: 14px;
|
||||
color: #333333;
|
||||
margin: 0;
|
||||
}
|
||||
|
@ -55,12 +55,16 @@
|
|||
|
||||
.succ {
|
||||
background-color: green;
|
||||
color: white;
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.fail {
|
||||
background-color: red;
|
||||
color: white;
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
.succ th, .succ td, .fail th, .fail td {
|
||||
color: #fff;
|
||||
}
|
||||
|
||||
table tbody tr th {
|
||||
|
@ -181,6 +185,13 @@
|
|||
</tr>
|
||||
{{end}}
|
||||
|
||||
<tr>
|
||||
<th>发送时间:</th>
|
||||
<td>
|
||||
{{timestamp}}
|
||||
</td>
|
||||
</tr>
|
||||
|
||||
<tr>
|
||||
<th>PromQL:</th>
|
||||
<td>
|
||||
|
|
|
@ -3,4 +3,5 @@
|
|||
**规则备注**: {{.RuleNote}}{{end}}
|
||||
**监控指标**: {{.TagsJSON}}
|
||||
{{if .IsRecovered}}**恢复时间**:{{timeformat .LastEvalTime}}{{else}}**触发时间**: {{timeformat .TriggerTime}}
|
||||
**触发时值**: {{.TriggerValue}}{{end}}
|
||||
**触发时值**: {{.TriggerValue}}{{end}}
|
||||
**发送时间**: {{timestamp}}
|
Loading…
Reference in New Issue