Add 'contrib/kube-prometheus/' from commit '81c0d2f4d30f63a4e274c2870c5afc89241827b0'

git-subtree-dir: contrib/kube-prometheus
git-subtree-mainline: 050ca21276696c8603375c699513ec487301ed62
git-subtree-split: 81c0d2f4d3
This commit is contained in:
Frederic Branczyk
2017-03-06 09:55:36 +01:00
commit 89ed6773e7
45 changed files with 7863 additions and 0 deletions

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View File

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View File

@@ -0,0 +1,880 @@
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"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "100 - (avg by (cpu) (irate(node_cpu{mode=\"idle\", instance=\"$server\"}[5m])) * 100)",
"hide": false,
"intervalFactor": 10,
"legendFormat": "{{cpu}}",
"refId": "A",
"step": 50
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Idle cpu",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "percent",
"label": "cpu usage",
"logBase": 1,
"max": 100,
"min": 0,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"alerting": {},
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"id": 9,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [],
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "node_load1{instance=\"$server\"}",
"intervalFactor": 4,
"legendFormat": "load 1m",
"refId": "A",
"step": 20,
"target": ""
},
{
"expr": "node_load5{instance=\"$server\"}",
"intervalFactor": 4,
"legendFormat": "load 5m",
"refId": "B",
"step": 20,
"target": ""
},
{
"expr": "node_load15{instance=\"$server\"}",
"intervalFactor": 4,
"legendFormat": "load 15m",
"refId": "C",
"step": 20,
"target": ""
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "System load",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "percentunit",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": false,
"title": "New row",
"titleSize": "h6"
},
{
"collapse": false,
"height": "250px",
"panels": [
{
"alerting": {},
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"id": 4,
"legend": {
"alignAsTable": false,
"avg": false,
"current": false,
"hideEmpty": false,
"hideZero": false,
"max": false,
"min": false,
"rightSide": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "node_memory_SwapFree{instance=\"172.17.0.1:9100\",job=\"prometheus\"}",
"yaxis": 2
}
],
"span": 9,
"stack": true,
"steppedLine": false,
"targets": [
{
"expr": "node_memory_MemTotal{instance=\"$server\"} - node_memory_MemFree{instance=\"$server\"} - node_memory_Buffers{instance=\"$server\"} - node_memory_Cached{instance=\"$server\"}",
"hide": false,
"interval": "",
"intervalFactor": 2,
"legendFormat": "memory used",
"metric": "",
"refId": "C",
"step": 4
},
{
"expr": "node_memory_Buffers{instance=\"$server\"}",
"interval": "",
"intervalFactor": 2,
"legendFormat": "memory buffers",
"metric": "",
"refId": "E",
"step": 4
},
{
"expr": "node_memory_Cached{instance=\"$server\"}",
"intervalFactor": 2,
"legendFormat": "memory cached",
"metric": "",
"refId": "F",
"step": 4
},
{
"expr": "node_memory_MemFree{instance=\"$server\"}",
"intervalFactor": 2,
"legendFormat": "memory free",
"metric": "",
"refId": "D",
"step": 4
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Memory usage",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "individual"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": "0",
"show": true
},
{
"format": "short",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"rgba(50, 172, 45, 0.97)",
"rgba(237, 129, 40, 0.89)",
"rgba(245, 54, 54, 0.9)"
],
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"format": "percent",
"gauge": {
"maxValue": 100,
"minValue": 0,
"show": true,
"thresholdLabels": false,
"thresholdMarkers": true
},
"id": 5,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"span": 3,
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"targets": [
{
"expr": "((node_memory_MemTotal{instance=\"$server\"} - node_memory_MemFree{instance=\"$server\"} - node_memory_Buffers{instance=\"$server\"} - node_memory_Cached{instance=\"$server\"}) / node_memory_MemTotal{instance=\"$server\"}) * 100",
"intervalFactor": 2,
"refId": "A",
"step": 60,
"target": ""
}
],
"thresholds": "80, 90",
"title": "Memory usage",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "avg"
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": false,
"title": "New row",
"titleSize": "h6"
},
{
"collapse": false,
"height": "250px",
"panels": [
{
"alerting": {},
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"id": 6,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "read",
"yaxis": 1
},
{
"alias": "{instance=\"172.17.0.1:9100\"}",
"yaxis": 2
},
{
"alias": "io time",
"yaxis": 2
}
],
"span": 9,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "sum by (instance) (rate(node_disk_bytes_read{instance=\"$server\"}[2m]))",
"hide": false,
"intervalFactor": 4,
"legendFormat": "read",
"refId": "A",
"step": 8,
"target": ""
},
{
"expr": "sum by (instance) (rate(node_disk_bytes_written{instance=\"$server\"}[2m]))",
"intervalFactor": 4,
"legendFormat": "written",
"refId": "B",
"step": 8
},
{
"expr": "sum by (instance) (rate(node_disk_io_time_ms{instance=\"$server\"}[2m]))",
"intervalFactor": 4,
"legendFormat": "io time",
"refId": "C",
"step": 8
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Disk I/O",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "ms",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"cacheTimeout": null,
"colorBackground": false,
"colorValue": false,
"colors": [
"rgba(50, 172, 45, 0.97)",
"rgba(237, 129, 40, 0.89)",
"rgba(245, 54, 54, 0.9)"
],
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"format": "percentunit",
"gauge": {
"maxValue": 1,
"minValue": 0,
"show": true,
"thresholdLabels": false,
"thresholdMarkers": true
},
"id": 7,
"interval": null,
"links": [],
"mappingType": 1,
"mappingTypes": [
{
"name": "value to text",
"value": 1
},
{
"name": "range to text",
"value": 2
}
],
"maxDataPoints": 100,
"nullPointMode": "connected",
"nullText": null,
"postfix": "",
"postfixFontSize": "50%",
"prefix": "",
"prefixFontSize": "50%",
"rangeMaps": [
{
"from": "null",
"text": "N/A",
"to": "null"
}
],
"span": 3,
"sparkline": {
"fillColor": "rgba(31, 118, 189, 0.18)",
"full": false,
"lineColor": "rgb(31, 120, 193)",
"show": false
},
"targets": [
{
"expr": "(sum(node_filesystem_size{device!=\"rootfs\",instance=\"$server\"}) - sum(node_filesystem_free{device!=\"rootfs\",instance=\"$server\"})) / sum(node_filesystem_size{device!=\"rootfs\",instance=\"$server\"})",
"intervalFactor": 2,
"refId": "A",
"step": 60,
"target": ""
}
],
"thresholds": "0.75, 0.9",
"title": "Disk space usage",
"type": "singlestat",
"valueFontSize": "80%",
"valueMaps": [
{
"op": "=",
"text": "N/A",
"value": "null"
}
],
"valueName": "current"
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": false,
"title": "New row",
"titleSize": "h6"
},
{
"collapse": false,
"height": "250px",
"panels": [
{
"alerting": {},
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"id": 8,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "transmitted ",
"yaxis": 2
}
],
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "rate(node_network_receive_bytes{instance=\"$server\",device!~\"lo\"}[5m])",
"hide": false,
"intervalFactor": 2,
"legendFormat": "{{device}}",
"refId": "A",
"step": 10,
"target": ""
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Network received",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
},
{
"alerting": {},
"aliasColors": {},
"bars": false,
"datasource": "${DS_PROMETHEUS}",
"editable": true,
"error": false,
"fill": 1,
"grid": {},
"id": 10,
"legend": {
"avg": false,
"current": false,
"max": false,
"min": false,
"show": true,
"total": false,
"values": false
},
"lines": true,
"linewidth": 2,
"links": [],
"nullPointMode": "connected",
"percentage": false,
"pointradius": 5,
"points": false,
"renderer": "flot",
"seriesOverrides": [
{
"alias": "transmitted ",
"yaxis": 2
}
],
"span": 6,
"stack": false,
"steppedLine": false,
"targets": [
{
"expr": "rate(node_network_transmit_bytes{instance=\"$server\",device!~\"lo\"}[5m])",
"hide": false,
"intervalFactor": 2,
"legendFormat": "{{device}}",
"refId": "B",
"step": 10,
"target": ""
}
],
"thresholds": [],
"timeFrom": null,
"timeShift": null,
"title": "Network transmitted",
"tooltip": {
"msResolution": false,
"shared": true,
"sort": 0,
"value_type": "cumulative"
},
"type": "graph",
"xaxis": {
"mode": "time",
"name": null,
"show": true,
"values": []
},
"yaxes": [
{
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
},
{
"format": "bytes",
"label": null,
"logBase": 1,
"max": null,
"min": null,
"show": true
}
]
}
],
"repeat": null,
"repeatIteration": null,
"repeatRowId": null,
"showTitle": false,
"title": "New row",
"titleSize": "h6"
}
],
"schemaVersion": 14,
"style": "dark",
"tags": [
"prometheus"
],
"templating": {
"list": [
{
"allValue": null,
"current": {},
"datasource": "${DS_PROMETHEUS}",
"hide": 0,
"includeAll": false,
"label": null,
"multi": false,
"name": "server",
"options": [],
"query": "label_values(node_boot_time, instance)",
"refresh": 1,
"regex": "",
"sort": 0,
"tagValuesQuery": "",
"tags": [],
"tagsQuery": "",
"type": "query",
"useTags": false
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"timepicker": {
"refresh_intervals": [
"5s",
"10s",
"30s",
"1m",
"5m",
"15m",
"30m",
"1h",
"2h",
"1d"
],
"time_options": [
"5m",
"15m",
"1h",
"6h",
"12h",
"24h",
"2d",
"7d",
"30d"
]
},
"timezone": "browser",
"title": "Nodes",
"version": 1
},
"inputs": [
{
"name": "DS_PROMETHEUS",
"pluginId": "prometheus",
"type": "datasource",
"value": "prometheus"
}
],
"overwrite": true
}

View File

@@ -0,0 +1,7 @@
{
"access": "proxy",
"basicAuth": false,
"name": "prometheus",
"type": "prometheus",
"url": "http://prometheus-k8s.monitoring.svc:9090"
}

View File

@@ -0,0 +1,121 @@
### General cluster availability ###
# alert if another failed peer will result in an unavailable cluster
ALERT InsufficientPeers
IF count(up{job="etcd-k8s"} == 0) > (count(up{job="etcd-k8s"}) / 2 - 1)
FOR 3m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "Etcd cluster small",
description = "If one more etcd peer goes down the cluster will be unavailable",
}
### HTTP requests alerts ###
# alert if more than 1% of requests to an HTTP endpoint have failed with a non 4xx response
ALERT HighNumberOfFailedHTTPRequests
IF sum by(method) (rate(etcd_http_failed_total{job="etcd-k8s", code!~"4[0-9]{2}"}[5m]))
/ sum by(method) (rate(etcd_http_received_total{job="etcd-k8s"}[5m])) > 0.01
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "a high number of HTTP requests are failing",
description = "{{ $value }}% of requests for {{ $labels.method }} failed on etcd instance {{ $labels.instance }}",
}
# alert if more than 5% of requests to an HTTP endpoint have failed with a non 4xx response
ALERT HighNumberOfFailedHTTPRequests
IF sum by(method) (rate(etcd_http_failed_total{job="etcd-k8s", code!~"4[0-9]{2}"}[5m]))
/ sum by(method) (rate(etcd_http_received_total{job="etcd-k8s"}[5m])) > 0.05
FOR 5m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "a high number of HTTP requests are failing",
description = "{{ $value }}% of requests for {{ $labels.method }} failed on etcd instance {{ $labels.instance }}",
}
# alert if 50% of requests get a 4xx response
ALERT HighNumberOfFailedHTTPRequests
IF sum by(method) (rate(etcd_http_failed_total{job="etcd-k8s", code=~"4[0-9]{2}"}[5m]))
/ sum by(method) (rate(etcd_http_received_total{job="etcd-k8s"}[5m])) > 0.5
FOR 10m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "a high number of HTTP requests are failing",
description = "{{ $value }}% of requests for {{ $labels.method }} failed with 4xx responses on etcd instance {{ $labels.instance }}",
}
# alert if the 99th percentile of HTTP requests take more than 150ms
ALERT HTTPRequestsSlow
IF histogram_quantile(0.99, rate(etcd_http_successful_duration_second_bucket[5m])) > 0.15
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "slow HTTP requests",
description = "on ectd instance {{ $labels.instance }} HTTP requests to {{ $label.method }} are slow",
}
### File descriptor alerts ###
instance:fd_utilization = process_open_fds / process_max_fds
# alert if file descriptors are likely to exhaust within the next 4 hours
ALERT FdExhaustionClose
IF predict_linear(instance:fd_utilization[1h], 3600 * 4) > 1
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "file descriptors soon exhausted",
description = "{{ $labels.job }} instance {{ $labels.instance }} will exhaust in file descriptors soon",
}
# alert if file descriptors are likely to exhaust within the next hour
ALERT FdExhaustionClose
IF predict_linear(instance:fd_utilization[10m], 3600) > 1
FOR 10m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "file descriptors soon exhausted",
description = "{{ $labels.job }} instance {{ $labels.instance }} will exhaust in file descriptors soon",
}
### etcd proposal alerts ###
# alert if there are several failed proposals within an hour
ALERT HighNumberOfFailedProposals
IF increase(etcd_server_proposal_failed_total{job="etcd"}[1h]) > 5
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "a high number of failed proposals within the etcd cluster are happening",
description = "etcd instance {{ $labels.instance }} has seen {{ $value }} proposal failures within the last hour",
}
### etcd disk io latency alerts ###
# alert if 99th percentile of fsync durations is higher than 500ms
ALERT HighFsyncDurations
IF histogram_quantile(0.99, rate(etcd_wal_fsync_durations_seconds_bucket[5m])) > 0.5
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "high fsync durations",
description = "ectd instance {{ $labels.instance }} fync durations are high",
}

View File

@@ -0,0 +1,388 @@
# NOTE: These rules were kindly contributed by the SoundCloud engineering team.
### Container resources ###
cluster_namespace_controller_pod_container:spec_memory_limit_bytes =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_spec_memory_limit_bytes{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:spec_cpu_shares =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_spec_cpu_shares{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:cpu_usage:rate =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
irate(
container_cpu_usage_seconds_total{container_name!=""}[5m]
),
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:memory_usage:bytes =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_memory_usage_bytes{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:memory_working_set:bytes =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_memory_working_set_bytes{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:memory_rss:bytes =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_memory_rss{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:memory_cache:bytes =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_memory_cache{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:disk_usage:bytes =
sum by (cluster,namespace,controller,pod_name,container_name) (
label_replace(
container_disk_usage_bytes{container_name!=""},
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:memory_pagefaults:rate =
sum by (cluster,namespace,controller,pod_name,container_name,scope,type) (
label_replace(
irate(
container_memory_failures_total{container_name!=""}[5m]
),
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
cluster_namespace_controller_pod_container:memory_oom:rate =
sum by (cluster,namespace,controller,pod_name,container_name,scope,type) (
label_replace(
irate(
container_memory_failcnt{container_name!=""}[5m]
),
"controller", "$1",
"pod_name", "^(.*)-[a-z0-9]+"
)
)
### Cluster resources ###
cluster:memory_allocation:percent =
100 * sum by (cluster) (
container_spec_memory_limit_bytes{pod_name!=""}
) / sum by (cluster) (
machine_memory_bytes
)
cluster:memory_used:percent =
100 * sum by (cluster) (
container_memory_usage_bytes{pod_name!=""}
) / sum by (cluster) (
machine_memory_bytes
)
cluster:cpu_allocation:percent =
100 * sum by (cluster) (
container_spec_cpu_shares{pod_name!=""}
) / sum by (cluster) (
container_spec_cpu_shares{id="/"} * on(cluster,instance) machine_cpu_cores
)
cluster:node_cpu_use:percent =
100 * sum by (cluster) (
rate(node_cpu{mode!="idle"}[5m])
) / sum by (cluster) (
machine_cpu_cores
)
### API latency ###
# Raw metrics are in microseconds. Convert to seconds.
cluster_resource_verb:apiserver_latency:quantile_seconds{quantile="0.99"} =
histogram_quantile(
0.99,
sum by(le,cluster,job,resource,verb) (apiserver_request_latencies_bucket)
) / 1e6
cluster_resource_verb:apiserver_latency:quantile_seconds{quantile="0.9"} =
histogram_quantile(
0.9,
sum by(le,cluster,job,resource,verb) (apiserver_request_latencies_bucket)
) / 1e6
cluster_resource_verb:apiserver_latency:quantile_seconds{quantile="0.5"} =
histogram_quantile(
0.5,
sum by(le,cluster,job,resource,verb) (apiserver_request_latencies_bucket)
) / 1e6
### Scheduling latency ###
cluster:scheduler_e2e_scheduling_latency:quantile_seconds{quantile="0.99"} =
histogram_quantile(0.99,sum by (le,cluster) (scheduler_e2e_scheduling_latency_microseconds_bucket)) / 1e6
cluster:scheduler_e2e_scheduling_latency:quantile_seconds{quantile="0.9"} =
histogram_quantile(0.9,sum by (le,cluster) (scheduler_e2e_scheduling_latency_microseconds_bucket)) / 1e6
cluster:scheduler_e2e_scheduling_latency:quantile_seconds{quantile="0.5"} =
histogram_quantile(0.5,sum by (le,cluster) (scheduler_e2e_scheduling_latency_microseconds_bucket)) / 1e6
cluster:scheduler_scheduling_algorithm_latency:quantile_seconds{quantile="0.99"} =
histogram_quantile(0.99,sum by (le,cluster) (scheduler_scheduling_algorithm_latency_microseconds_bucket)) / 1e6
cluster:scheduler_scheduling_algorithm_latency:quantile_seconds{quantile="0.9"} =
histogram_quantile(0.9,sum by (le,cluster) (scheduler_scheduling_algorithm_latency_microseconds_bucket)) / 1e6
cluster:scheduler_scheduling_algorithm_latency:quantile_seconds{quantile="0.5"} =
histogram_quantile(0.5,sum by (le,cluster) (scheduler_scheduling_algorithm_latency_microseconds_bucket)) / 1e6
cluster:scheduler_binding_latency:quantile_seconds{quantile="0.99"} =
histogram_quantile(0.99,sum by (le,cluster) (scheduler_binding_latency_microseconds_bucket)) / 1e6
cluster:scheduler_binding_latency:quantile_seconds{quantile="0.9"} =
histogram_quantile(0.9,sum by (le,cluster) (scheduler_binding_latency_microseconds_bucket)) / 1e6
cluster:scheduler_binding_latency:quantile_seconds{quantile="0.5"} =
histogram_quantile(0.5,sum by (le,cluster) (scheduler_binding_latency_microseconds_bucket)) / 1e6
ALERT K8SNodeDown
IF up{job="kubelet"} == 0
FOR 1h
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "Kubelet cannot be scraped",
description = "Prometheus could not scrape a {{ $labels.job }} for more than one hour",
}
ALERT K8SNodeNotReady
IF kube_node_status_ready{condition="true"} == 0
FOR 1h
LABELS {
service = "k8s",
severity = "warning",
}
ANNOTATIONS {
summary = "Node status is NotReady",
description = "The Kubelet on {{ $labels.node }} has not checked in with the API, or has set itself to NotReady, for more than an hour",
}
ALERT K8SManyNodesNotReady
IF
count by (cluster) (kube_node_status_ready{condition="true"} == 0) > 1
AND
(
count by (cluster) (kube_node_status_ready{condition="true"} == 0)
/
count by (cluster) (kube_node_status_ready{condition="true"})
) > 0.2
FOR 1m
LABELS {
service = "k8s",
severity = "critical",
}
ANNOTATIONS {
summary = "Many K8s nodes are Not Ready",
description = "{{ $value }} K8s nodes (more than 10% of cluster {{ $labels.cluster }}) are in the NotReady state.",
}
ALERT K8SKubeletNodeExporterDown
IF up{job="node-exporter"} == 0
FOR 15m
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "Kubelet node_exporter cannot be scraped",
description = "Prometheus could not scrape a {{ $labels.job }} for more than one hour.",
}
ALERT K8SKubeletDown
IF absent(up{job="kubelet"}) or count by (cluster) (up{job="kubelet"} == 0) / count by (cluster) (up{job="kubelet"}) > 0.1
FOR 1h
LABELS {
service = "k8s",
severity = "critical"
}
ANNOTATIONS {
summary = "Many Kubelets cannot be scraped",
description = "Prometheus failed to scrape more than 10% of kubelets, or all Kubelets have disappeared from service discovery.",
}
ALERT K8SApiserverDown
IF up{job="kubernetes"} == 0
FOR 15m
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "API server unreachable",
description = "An API server could not be scraped.",
}
# Disable for non HA kubernetes setups.
ALERT K8SApiserverDown
IF absent({job="kubernetes"}) or (count by(cluster) (up{job="kubernetes"} == 1) < count by(cluster) (up{job="kubernetes"}))
FOR 5m
LABELS {
service = "k8s",
severity = "critical"
}
ANNOTATIONS {
summary = "API server unreachable",
description = "Prometheus failed to scrape multiple API servers, or all API servers have disappeared from service discovery.",
}
ALERT K8SSchedulerDown
IF absent(up{job="kube-scheduler"}) or (count by(cluster) (up{job="kube-scheduler"} == 1) == 0)
FOR 5m
LABELS {
service = "k8s",
severity = "critical",
}
ANNOTATIONS {
summary = "Scheduler is down",
description = "There is no running K8S scheduler. New pods are not being assigned to nodes.",
}
ALERT K8SControllerManagerDown
IF absent(up{job="kube-controller-manager"}) or (count by(cluster) (up{job="kube-controller-manager"} == 1) == 0)
FOR 5m
LABELS {
service = "k8s",
severity = "critical",
}
ANNOTATIONS {
summary = "Controller manager is down",
description = "There is no running K8S controller manager. Deployments and replication controllers are not making progress.",
}
ALERT K8SConntrackTableFull
IF 100*node_nf_conntrack_entries / node_nf_conntrack_entries_limit > 50
FOR 10m
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "Number of tracked connections is near the limit",
description = "The nf_conntrack table is {{ $value }}% full.",
}
ALERT K8SConntrackTableFull
IF 100*node_nf_conntrack_entries / node_nf_conntrack_entries_limit > 90
LABELS {
service = "k8s",
severity = "critical"
}
ANNOTATIONS {
summary = "Number of tracked connections is near the limit",
description = "The nf_conntrack table is {{ $value }}% full.",
}
# To catch the conntrack sysctl de-tuning when it happens
ALERT K8SConntrackTuningMissing
IF node_nf_conntrack_udp_timeout > 10
FOR 10m
LABELS {
service = "k8s",
severity = "warning",
}
ANNOTATIONS {
summary = "Node does not have the correct conntrack tunings",
description = "Nodes keep un-setting the correct tunings, investigate when it happens.",
}
ALERT K8STooManyOpenFiles
IF 100*process_open_fds{job=~"kubelet|kubernetes"} / process_max_fds > 50
FOR 10m
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "{{ $labels.job }} has too many open file descriptors",
description = "{{ $labels.node }} is using {{ $value }}% of the available file/socket descriptors.",
}
ALERT K8STooManyOpenFiles
IF 100*process_open_fds{job=~"kubelet|kubernetes"} / process_max_fds > 80
FOR 10m
LABELS {
service = "k8s",
severity = "critical"
}
ANNOTATIONS {
summary = "{{ $labels.job }} has too many open file descriptors",
description = "{{ $labels.node }} is using {{ $value }}% of the available file/socket descriptors.",
}
# Some verbs excluded because they are expected to be long-lasting:
# WATCHLIST is long-poll, CONNECT is `kubectl exec`.
ALERT K8SApiServerLatency
IF histogram_quantile(
0.99,
sum without (instance,node,resource) (apiserver_request_latencies_bucket{verb!~"CONNECT|WATCHLIST|WATCH"})
) / 1e6 > 1.0
FOR 10m
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "Kubernetes apiserver latency is high",
description = "99th percentile Latency for {{ $labels.verb }} requests to the kube-apiserver is higher than 1s.",
}
ALERT K8SApiServerEtcdAccessLatency
IF etcd_request_latencies_summary{quantile="0.99"} / 1e6 > 1.0
FOR 15m
LABELS {
service = "k8s",
severity = "warning"
}
ANNOTATIONS {
summary = "Access to etcd is slow",
description = "99th percentile latency for apiserver to access etcd is higher than 1s.",
}
ALERT K8SKubeletTooManyPods
IF kubelet_running_pod_count > 100
LABELS {
service = "k8s",
severity = "warning",
}
ANNOTATIONS {
summary = "Kubelet is close to pod limit",
description = "Kubelet {{$labels.instance}} is running {{$value}} pods, close to the limit of 110",
}