openstack/openstack-helm-infra
Code Issues Proposed changes

Merge "Update Prometheus to version 2.0"

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Zuul 2017-12-18 04:19:21 +00:00 committed by Gerrit Code Review
commit 8d309f5cff
3 changed files with 380 additions and 501 deletions
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2
alertmanager/values.yaml
View File

@ -45,7 +45,7 @@ pod:
alertmanager:
init_container: null
replicas:
alertmanager: 1
alertmanager: 3
lifecycle:
upgrades:
revision_history: 3

17
prometheus/templates/bin/_prometheus.sh.tpl
View File

@ -21,14 +21,15 @@ COMMAND="${@:-start}"
function start () {
exec /bin/prometheus \
-config.file=/etc/config/prometheus.yml \
-alertmanager.url={{ tuple "alerts" "internal" "api" . | include "helm-toolkit.endpoints.host_and_port_endpoint_uri_lookup" }} \
-storage.local.path={{ .Values.conf.prometheus.storage.local.path }} \
-storage.local.retention={{ .Values.conf.prometheus.storage.local.retention }} \
-log.format={{ .Values.conf.prometheus.log.format | quote }} \
-log.level={{ .Values.conf.prometheus.log.level | quote }} \
-query.max-concurrency={{ .Values.conf.prometheus.query.max_concurrency }} \
-query.timeout={{ .Values.conf.prometheus.query.timeout }}
--config.file=/etc/config/prometheus.yml \
--log.level={{ .Values.conf.prometheus.log.level | quote }} \
--query.max-concurrency={{ .Values.conf.prometheus.query.max_concurrency }} \
--storage.tsdb.path={{ .Values.conf.prometheus.storage.tsdb.path }} \
--storage.tsdb.retention={{ .Values.conf.prometheus.storage.tsdb.retention }} \
{{ if .Values.conf.prometheus.web_admin_api.enabled }}
--web.enable-admin-api \
{{ end }}
--query.timeout={{ .Values.conf.prometheus.query.timeout }}
}
function stop () {

862
prometheus/values.yaml
View File

@ -19,7 +19,7 @@
images:
tags:
prometheus: docker.io/prom/prometheus:v1.7.1
prometheus: docker.io/prom/prometheus:v2.0.0
helm_tests: docker.io/kolla/ubuntu-source-kolla-toolbox:3.0.3
dep_check: quay.io/stackanetes/kubernetes-entrypoint:v0.2.1
image_repo_sync: docker.io/docker:17.07.0
@ -185,15 +185,17 @@ manifests:
conf:
prometheus:
storage:
local:
tsdb:
path: /var/lib/prometheus/data
retention: 168h0m0s
retention: 7d
log:
format: logger:stdout?json=true
level: info
query:
max_concurrency: 20
timeout: 2m0s
timeout: 2m
web_admin_api:
enabled: true
scrape_configs: |
global:
scrape_interval: 25s
@ -409,508 +411,384 @@ conf:
alerting:
alertmanagers:
- kubernetes_sd_configs:
- role: endpoints
scheme: http
- role: pod
relabel_configs:
- action: keep
source_labels:
- __meta_kubernetes_service_name
regex: alerts-api
- action: keep
source_labels:
- __meta_kubernetes_namespace
regex: monitoring
- action: keep
source_labels:
- __meta_kubernetes_endpoint_port_name
regex: alerts-api
- source_labels: [__meta_kubernetes_pod_label_name]
regex: alertmanager
action: keep
- source_labels: [__meta_kubernetes_namespace]
regex: openstack
action: keep
- source_labels: [__meta_kubernetes_pod_container_port_number]
regex:
action: drop
rules:
alertmanager: |-
ALERT AlertmanagerConfigInconsistent
IF count_values by (service) ("config_hash", alertmanager_config_hash)
/ on(service) group_left
label_replace(prometheus_operator_alertmanager_spec_replicas, "service", "alertmanager-$1", "alertmanager", "(.*)") != 1
FOR 5m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "Alertmanager configurations are inconsistent",
description = "The configuration of the instances of the Alertmanager cluster `{{$labels.service}}` are out of sync."
}
groups:
- name: alertmanager.rules
rules:
- alert: AlertmanagerConfigInconsistent
expr: count_values("config_hash", alertmanager_config_hash) BY (service) / ON(service)
GROUP_LEFT() label_replace(prometheus_operator_alertmanager_spec_replicas, "service",
"alertmanager-$1", "alertmanager", "(.*)") != 1
for: 5m
labels:
severity: critical
annotations:
description: The configuration of the instances of the Alertmanager cluster
`{{$labels.service}}` are out of sync.
summary: Alertmanager configurations are inconsistent
- alert: AlertmanagerDownOrMissing
expr: label_replace(prometheus_operator_alertmanager_spec_replicas, "job", "alertmanager-$1",
"alertmanager", "(.*)") / ON(job) GROUP_RIGHT() sum(up) BY (job) != 1
for: 5m
labels:
severity: warning
annotations:
description: An unexpected number of Alertmanagers are scraped or Alertmanagers
disappeared from discovery.
summary: Alertmanager down or not discovered
- alert: FailedReload
expr: alertmanager_config_last_reload_successful == 0
for: 10m
labels:
severity: warning
annotations:
description: Reloading Alertmanager's configuration has failed for {{ $labels.namespace
}}/{{ $labels.pod}}.
summary: Alertmanager configuration reload has failed
ALERT AlertmanagerDownOrMissing
IF label_replace(prometheus_operator_alertmanager_spec_replicas, "job", "alertmanager-$1", "alertmanager", "(.*)")
/ on(job) group_right
sum by(job) (up) != 1
FOR 5m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "Alertmanager down or not discovered",
description = "An unexpected number of Alertmanagers are scraped or Alertmanagers disappeared from discovery."
}
ALERT FailedReload
IF alertmanager_config_last_reload_successful == 0
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "Alertmanager configuration reload has failed",
description = "Reloading Alertmanager's configuration has failed for {{ $labels.namespace }}/{{ $labels.pod}}."
}
etcd3: |-
# general cluster availability
# alert if another failed member will result in an unavailable cluster
ALERT InsufficientMembers
groups:
- name: etcd3.rules
rules:
- alert: InsufficientMembers
expr: count(up{job="etcd"} == 0) > (count(up{job="etcd"}) / 2 - 1)
for: 3m
labels:
severity: critical
annotations:
description: If one more etcd member goes down the cluster will be unavailable
summary: etcd cluster insufficient members
- alert: NoLeader
expr: etcd_server_has_leader{job="etcd"} == 0
for: 1m
labels:
severity: critical
annotations:
description: etcd member {{ $labels.instance }} has no leader
summary: etcd member has no leader
- alert: HighNumberOfLeaderChanges
expr: increase(etcd_server_leader_changes_seen_total{job="etcd"}[1h]) > 3
labels:
severity: warning
annotations:
description: etcd instance {{ $labels.instance }} has seen {{ $value }} leader
changes within the last hour
summary: a high number of leader changes within the etcd cluster are happening
- alert: HighNumberOfFailedGRPCRequests
expr: sum(rate(etcd_grpc_requests_failed_total{job="etcd"}[5m])) BY (grpc_method)
/ sum(rate(etcd_grpc_total{job="etcd"}[5m])) BY (grpc_method) > 0.01
for: 10m
labels:
severity: warning
annotations:
description: '{{ $value }}% of requests for {{ $labels.grpc_method }} failed
on etcd instance {{ $labels.instance }}'
summary: a high number of gRPC requests are failing
- alert: HighNumberOfFailedGRPCRequests
expr: sum(rate(etcd_grpc_requests_failed_total{job="etcd"}[5m])) BY (grpc_method)
/ sum(rate(etcd_grpc_total{job="etcd"}[5m])) BY (grpc_method) > 0.05
for: 5m
labels:
severity: critical
annotations:
description: '{{ $value }}% of requests for {{ $labels.grpc_method }} failed
on etcd instance {{ $labels.instance }}'
summary: a high number of gRPC requests are failing
- alert: GRPCRequestsSlow
expr: histogram_quantile(0.99, rate(etcd_grpc_unary_requests_duration_seconds_bucket[5m]))
> 0.15
for: 10m
labels:
severity: critical
annotations:
description: on etcd instance {{ $labels.instance }} gRPC requests to {{ $labels.grpc_method
}} are slow
summary: slow gRPC requests
- alert: HighNumberOfFailedHTTPRequests
expr: sum(rate(etcd_http_failed_total{job="etcd"}[5m])) BY (method) / sum(rate(etcd_http_received_total{job="etcd"}[5m]))
BY (method) > 0.01
for: 10m
labels:
severity: warning
annotations:
description: '{{ $value }}% of requests for {{ $labels.method }} failed on etcd
instance {{ $labels.instance }}'
summary: a high number of HTTP requests are failing
- alert: HighNumberOfFailedHTTPRequests
expr: sum(rate(etcd_http_failed_total{job="etcd"}[5m])) BY (method) / sum(rate(etcd_http_received_total{job="etcd"}[5m]))
BY (method) > 0.05
for: 5m
labels:
severity: critical
annotations:
description: '{{ $value }}% of requests for {{ $labels.method }} failed on etcd
instance {{ $labels.instance }}'
summary: a high number of HTTP requests are failing
- alert: HTTPRequestsSlow
expr: histogram_quantile(0.99, rate(etcd_http_successful_duration_seconds_bucket[5m]))
> 0.15
for: 10m
labels:
severity: warning
annotations:
description: on etcd instance {{ $labels.instance }} HTTP requests to {{ $labels.method
}} are slow
summary: slow HTTP requests
- alert: EtcdMemberCommunicationSlow
expr: histogram_quantile(0.99, rate(etcd_network_member_round_trip_time_seconds_bucket[5m]))
> 0.15
for: 10m
labels:
severity: warning
annotations:
description: etcd instance {{ $labels.instance }} member communication with
{{ $labels.To }} is slow
summary: etcd member communication is slow
- alert: HighNumberOfFailedProposals
expr: increase(etcd_server_proposals_failed_total{job="etcd"}[1h]) > 5
labels:
severity: warning
annotations:
description: etcd instance {{ $labels.instance }} has seen {{ $value }} proposal
failures within the last hour
summary: a high number of proposals within the etcd cluster are failing
- alert: HighFsyncDurations
expr: histogram_quantile(0.99, rate(etcd_disk_wal_fsync_duration_seconds_bucket[5m]))
> 0.5
for: 10m
labels:
severity: warning
annotations:
description: etcd instance {{ $labels.instance }} fync durations are high
summary: high fsync durations
- alert: HighCommitDurations
expr: histogram_quantile(0.99, rate(etcd_disk_backend_commit_duration_seconds_bucket[5m]))
> 0.25
for: 10m
labels:
severity: warning
annotations:
description: etcd instance {{ $labels.instance }} commit durations are high
summary: high commit durations
IF count(up{job="etcd"} == 0) > (count(up{job="etcd"}) / 2 - 1)
FOR 3m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "etcd cluster insufficient members",
description = "If one more etcd member goes down the cluster will be unavailable",
}
# etcd leader alerts
# ==================
# alert if any etcd instance has no leader
ALERT NoLeader
IF etcd_server_has_leader{job="etcd"} == 0
FOR 1m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "etcd member has no leader",
description = "etcd member {{ $labels.instance }} has no leader",
}
# alert if there are lots of leader changes
ALERT HighNumberOfLeaderChanges
IF increase(etcd_server_leader_changes_seen_total{job="etcd"}[1h]) > 3
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "a high number of leader changes within the etcd cluster are happening",
description = "etcd instance {{ $labels.instance }} has seen {{ $value }} leader changes within the last hour",
}
# gRPC request alerts
# ===================
# alert if more than 1% of gRPC method calls have failed within the last 5 minutes
ALERT HighNumberOfFailedGRPCRequests
IF sum by(grpc_method) (rate(etcd_grpc_requests_failed_total{job="etcd"}[5m]))
/ sum by(grpc_method) (rate(etcd_grpc_total{job="etcd"}[5m])) > 0.01
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "a high number of gRPC requests are failing",
description = "{{ $value }}% of requests for {{ $labels.grpc_method }} failed on etcd instance {{ $labels.instance }}",
}
# alert if more than 5% of gRPC method calls have failed within the last 5 minutes
ALERT HighNumberOfFailedGRPCRequests
IF sum by(grpc_method) (rate(etcd_grpc_requests_failed_total{job="etcd"}[5m]))
/ sum by(grpc_method) (rate(etcd_grpc_total{job="etcd"}[5m])) > 0.05
FOR 5m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "a high number of gRPC requests are failing",
description = "{{ $value }}% of requests for {{ $labels.grpc_method }} failed on etcd instance {{ $labels.instance }}",
}
# alert if the 99th percentile of gRPC method calls take more than 150ms
ALERT GRPCRequestsSlow
IF histogram_quantile(0.99, rate(etcd_grpc_unary_requests_duration_seconds_bucket[5m])) > 0.15
FOR 10m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "slow gRPC requests",
description = "on etcd instance {{ $labels.instance }} gRPC requests to {{ $labels.grpc_method }} are slow",
}
# HTTP requests alerts
# ====================
# alert if more than 1% of requests to an HTTP endpoint have failed within the last 5 minutes
ALERT HighNumberOfFailedHTTPRequests
IF sum by(method) (rate(etcd_http_failed_total{job="etcd"}[5m]))
/ sum by(method) (rate(etcd_http_received_total{job="etcd"}[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 within the last 5 minutes
ALERT HighNumberOfFailedHTTPRequests
IF sum by(method) (rate(etcd_http_failed_total{job="etcd"}[5m]))
/ sum by(method) (rate(etcd_http_received_total{job="etcd"}[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 the 99th percentile of HTTP requests take more than 150ms
ALERT HTTPRequestsSlow
IF histogram_quantile(0.99, rate(etcd_http_successful_duration_seconds_bucket[5m])) > 0.15
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "slow HTTP requests",
description = "on etcd instance {{ $labels.instance }} HTTP requests to {{ $labels.method }} are slow",
}
# etcd member communication alerts
# ================================
# alert if 99th percentile of round trips take 150ms
ALERT EtcdMemberCommunicationSlow
IF histogram_quantile(0.99, rate(etcd_network_member_round_trip_time_seconds_bucket[5m])) > 0.15
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "etcd member communication is slow",
description = "etcd instance {{ $labels.instance }} member communication with {{ $labels.To }} is slow",
}
# etcd proposal alerts
# ====================
# alert if there are several failed proposals within an hour
ALERT HighNumberOfFailedProposals
IF increase(etcd_server_proposals_failed_total{job="etcd"}[1h]) > 5
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "a high number of proposals within the etcd cluster are failing",
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_disk_wal_fsync_duration_seconds_bucket[5m])) > 0.5
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "high fsync durations",
description = "etcd instance {{ $labels.instance }} fync durations are high",
}
# alert if 99th percentile of commit durations is higher than 250ms
ALERT HighCommitDurations
IF histogram_quantile(0.99, rate(etcd_disk_backend_commit_duration_seconds_bucket[5m])) > 0.25
FOR 10m
LABELS {
severity = "warning"
}
ANNOTATIONS {
summary = "high commit durations",
description = "etcd instance {{ $labels.instance }} commit durations are high",
}
kube_apiserver: |-
ALERT K8SApiserverDown
IF absent(up{job="apiserver"} == 1)
FOR 5m
LABELS {
severity = "critical"
}
ANNOTATIONS {
summary = "API server unreachable",
description = "Prometheus failed to scrape API server(s), or all API servers have disappeared from service discovery.",
}
# Some verbs excluded because they are expected to be long-lasting:
# WATCHLIST is long-poll, CONNECT is `kubectl exec`.
#
# apiserver_request_latencies' unit is microseconds
ALERT K8SApiServerLatency
IF histogram_quantile(
0.99,
sum without (instance,resource) (apiserver_request_latencies_bucket{verb!~"CONNECT|WATCHLIST|WATCH|PROXY"})
) / 1e6 > 1.0
FOR 10m
LABELS {
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.",
}
groups:
- name: kube-apiserver.rules
rules:
- alert: K8SApiserverDown
expr: absent(up{job="apiserver"} == 1)
for: 5m
labels:
severity: critical
annotations:
description: Prometheus failed to scrape API server(s), or all API servers have
disappeared from service discovery.
summary: API server unreachable
- alert: K8SApiServerLatency
expr: histogram_quantile(0.99, sum(apiserver_request_latencies_bucket{verb!~"CONNECT|WATCHLIST|WATCH|PROXY"})
WITHOUT (instance, resource)) / 1e+06 > 1
for: 10m
labels:
severity: warning
annotations:
description: 99th percentile Latency for {{ $labels.verb }} requests to the
kube-apiserver is higher than 1s.
summary: Kubernetes apiserver latency is high
kube_controller_manager: |-
ALERT K8SControllerManagerDown
IF absent(up{job="kube-controller-manager"} == 1)
FOR 5m
LABELS {
severity = "critical",
}
ANNOTATIONS {
summary = "Controller manager is down",
description = "There is no running K8S controller manager. Deployments and replication controllers are not making progress.",
runbook = "https://coreos.com/tectonic/docs/latest/troubleshooting/controller-recovery.html#recovering-a-controller-manager",
}
groups:
- name: kube-controller-manager.rules
rules:
- alert: K8SControllerManagerDown
expr: absent(up{job="kube-controller-manager"} == 1)
for: 5m
labels:
severity: critical
annotations:
description: There is no running K8S controller manager. Deployments and replication
controllers are not making progress.
runbook: https://coreos.com/tectonic/docs/latest/troubleshooting/controller-recovery.html#recovering-a-controller-manager
summary: Controller manager is down
kubelet: |-
ALERT K8SNodeNotReady
IF kube_node_status_ready{condition="true"} == 0
FOR 1h
LABELS {
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(kube_node_status_ready{condition="true"} == 0) > 1
AND
(
count(kube_node_status_ready{condition="true"} == 0)
/
count(kube_node_status_ready{condition="true"})
) > 0.2
FOR 1m
LABELS {
severity = "critical",
}
ANNOTATIONS {
summary = "Many Kubernetes nodes are Not Ready",
description = "{{ $value }} Kubernetes nodes (more than 10% are in the NotReady state).",
}
ALERT K8SKubeletDown
IF count(up{job="kubelet"} == 0) / count(up{job="kubelet"}) > 0.03
FOR 1h
LABELS {
severity = "warning",
}
ANNOTATIONS {
summary = "Many Kubelets cannot be scraped",
description = "Prometheus failed to scrape {{ $value }}% of kubelets.",
}
ALERT K8SKubeletDown
IF absent(up{job="kubelet"} == 1) or count(up{job="kubelet"} == 0) / count(up{job="kubelet"}) > 0.1
FOR 1h
LABELS {
severity = "critical",
}
ANNOTATIONS {
summary = "Many Kubelets cannot be scraped",
description = "Prometheus failed to scrape {{ $value }}% of kubelets, or all Kubelets have disappeared from service discovery.",
}
ALERT K8SKubeletTooManyPods
IF kubelet_running_pod_count > 100
LABELS {
severity = "warning",
}
ANNOTATIONS {
summary = "Kubelet is close to pod limit",
description = "Kubelet {{$labels.instance}} is running {{$value}} pods, close to the limit of 110",
}
groups:
- name: kubelet.rules
rules:
- alert: K8SNodeNotReady
expr: kube_node_status_ready{condition="true"} == 0
for: 1h
labels:
severity: warning
annotations:
description: The Kubelet on {{ $labels.node }} has not checked in with the API,
or has set itself to NotReady, for more than an hour
summary: Node status is NotReady
- alert: K8SManyNodesNotReady
expr: count(kube_node_status_ready{condition="true"} == 0) > 1 and (count(kube_node_status_ready{condition="true"}
== 0) / count(kube_node_status_ready{condition="true"})) > 0.2
for: 1m
labels:
severity: critical
annotations:
description: '{{ $value }} Kubernetes nodes (more than 10% are in the NotReady
state).'
summary: Many Kubernetes nodes are Not Ready
- alert: K8SKubeletDown
expr: count(up{job="kubelet"} == 0) / count(up{job="kubelet"}) > 0.03
for: 1h
labels:
severity: warning
annotations:
description: Prometheus failed to scrape {{ $value }}% of kubelets.
summary: Many Kubelets cannot be scraped
- alert: K8SKubeletDown
expr: absent(up{job="kubelet"} == 1) or count(up{job="kubelet"} == 0) / count(up{job="kubelet"})
> 0.1
for: 1h
labels:
severity: critical
annotations:
description: Prometheus failed to scrape {{ $value }}% of kubelets, or all Kubelets
have disappeared from service discovery.
summary: Many Kubelets cannot be scraped
- alert: K8SKubeletTooManyPods
expr: kubelet_running_pod_count > 100
labels:
severity: warning
annotations:
description: Kubelet {{$labels.instance}} is running {{$value}} pods, close
to the limit of 110
summary: Kubelet is close to pod limit
kubernetes: |-
# NOTE: These rules were kindly contributed by the SoundCloud engineering team.
groups:
- name: kubernetes.rules
rules:
- record: cluster_namespace_controller_pod_container:spec_memory_limit_bytes
expr: sum(label_replace(container_spec_memory_limit_bytes{container_name!=""},
"controller", "$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace,
controller, pod_name, container_name)
- record: cluster_namespace_controller_pod_container:spec_cpu_shares
expr: sum(label_replace(container_spec_cpu_shares{container_name!=""}, "controller",
"$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace, controller, pod_name,
container_name)
- record: cluster_namespace_controller_pod_container:cpu_usage:rate
expr: sum(label_replace(irate(container_cpu_usage_seconds_total{container_name!=""}[5m]),
"controller", "$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace,
controller, pod_name, container_name)
- record: cluster_namespace_controller_pod_container:memory_usage:bytes
expr: sum(label_replace(container_memory_usage_bytes{container_name!=""}, "controller",
"$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace, controller, pod_name,
container_name)
- record: cluster_namespace_controller_pod_container:memory_working_set:bytes
expr: sum(label_replace(container_memory_working_set_bytes{container_name!=""},
"controller", "$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace,
controller, pod_name, container_name)
- record: cluster_namespace_controller_pod_container:memory_rss:bytes
expr: sum(label_replace(container_memory_rss{container_name!=""}, "controller",
"$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace, controller, pod_name,
container_name)
- record: cluster_namespace_controller_pod_container:memory_cache:bytes
expr: sum(label_replace(container_memory_cache{container_name!=""}, "controller",
"$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace, controller, pod_name,
container_name)
- record: cluster_namespace_controller_pod_container:disk_usage:bytes
expr: sum(label_replace(container_disk_usage_bytes{container_name!=""}, "controller",
"$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace, controller, pod_name,
container_name)
- record: cluster_namespace_controller_pod_container:memory_pagefaults:rate
expr: sum(label_replace(irate(container_memory_failures_total{container_name!=""}[5m]),
"controller", "$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace,
controller, pod_name, container_name, scope, type)
- record: cluster_namespace_controller_pod_container:memory_oom:rate
expr: sum(label_replace(irate(container_memory_failcnt{container_name!=""}[5m]),
"controller", "$1", "pod_name", "^(.*)-[a-z0-9]+")) BY (cluster, namespace,
controller, pod_name, container_name, scope, type)
- record: cluster:memory_allocation:percent
expr: 100 * sum(container_spec_memory_limit_bytes{pod_name!=""}) BY (cluster)
/ sum(machine_memory_bytes) BY (cluster)
- record: cluster:memory_used:percent
expr: 100 * sum(container_memory_usage_bytes{pod_name!=""}) BY (cluster) / sum(machine_memory_bytes)
BY (cluster)
- record: cluster:cpu_allocation:percent
expr: 100 * sum(container_spec_cpu_shares{pod_name!=""}) BY (cluster) / sum(container_spec_cpu_shares{id="/"}
* ON(cluster, instance) machine_cpu_cores) BY (cluster)
- record: cluster:node_cpu_use:percent
expr: 100 * sum(rate(node_cpu{mode!="idle"}[5m])) BY (cluster) / sum(machine_cpu_cores)
BY (cluster)
- record: cluster_resource_verb:apiserver_latency:quantile_seconds
expr: histogram_quantile(0.99, sum(apiserver_request_latencies_bucket) BY (le,
cluster, job, resource, verb)) / 1e+06
labels:
quantile: "0.99"
- record: cluster_resource_verb:apiserver_latency:quantile_seconds
expr: histogram_quantile(0.9, sum(apiserver_request_latencies_bucket) BY (le,
cluster, job, resource, verb)) / 1e+06
labels:
quantile: "0.9"
- record: cluster_resource_verb:apiserver_latency:quantile_seconds
expr: histogram_quantile(0.5, sum(apiserver_request_latencies_bucket) BY (le,
cluster, job, resource, verb)) / 1e+06
labels:
quantile: "0.5"
- record: cluster:scheduler_e2e_scheduling_latency:quantile_seconds
expr: histogram_quantile(0.99, sum(scheduler_e2e_scheduling_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.99"
- record: cluster:scheduler_e2e_scheduling_latency:quantile_seconds
expr: histogram_quantile(0.9, sum(scheduler_e2e_scheduling_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.9"
- record: cluster:scheduler_e2e_scheduling_latency:quantile_seconds
expr: histogram_quantile(0.5, sum(scheduler_e2e_scheduling_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.5"
- record: cluster:scheduler_scheduling_algorithm_latency:quantile_seconds
expr: histogram_quantile(0.99, sum(scheduler_scheduling_algorithm_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.99"
- record: cluster:scheduler_scheduling_algorithm_latency:quantile_seconds
expr: histogram_quantile(0.9, sum(scheduler_scheduling_algorithm_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.9"
- record: cluster:scheduler_scheduling_algorithm_latency:quantile_seconds
expr: histogram_quantile(0.5, sum(scheduler_scheduling_algorithm_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.5"
- record: cluster:scheduler_binding_latency:quantile_seconds
expr: histogram_quantile(0.99, sum(scheduler_binding_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.99"
- record: cluster:scheduler_binding_latency:quantile_seconds
expr: histogram_quantile(0.9, sum(scheduler_binding_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.9"
- record: cluster:scheduler_binding_latency:quantile_seconds
expr: histogram_quantile(0.5, sum(scheduler_binding_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.5"
### 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
rabbitmq: |-
mysql: |-