Remove rules that have been migrated to kubernetes-mixins

This commit is contained in:
Frederic Branczyk
2018-05-28 10:30:37 +02:00
parent c11db46863
commit 7b9d97de7f
5 changed files with 0 additions and 284 deletions

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@@ -1,13 +0,0 @@
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

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@@ -1,58 +0,0 @@
groups:
- name: kube-scheduler.rules
rules:
- record: cluster:scheduler_e2e_scheduling_latency_seconds:quantile
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_seconds:quantile
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_seconds:quantile
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_seconds:quantile
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_seconds:quantile
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_seconds:quantile
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_seconds:quantile
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_seconds:quantile
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_seconds:quantile
expr: histogram_quantile(0.5, sum(scheduler_binding_latency_microseconds_bucket)
BY (le, cluster)) / 1e+06
labels:
quantile: "0.5"
- alert: K8SSchedulerDown
expr: absent(up{job="kube-scheduler"} == 1)
for: 5m
labels:
severity: critical
annotations:
description: There is no running K8S scheduler. New pods are not being assigned
to nodes.
runbook: https://coreos.com/tectonic/docs/latest/troubleshooting/controller-recovery.html#recovering-a-scheduler
summary: Scheduler is down

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@@ -1,59 +0,0 @@
groups:
- name: kube-state-metrics.rules
rules:
- alert: DeploymentGenerationMismatch
expr: kube_deployment_status_observed_generation != kube_deployment_metadata_generation
for: 15m
labels:
severity: warning
annotations:
description: Observed deployment generation does not match expected one for
deployment {{$labels.namespace}}/{{$labels.deployment}}
summary: Deployment is outdated
- alert: DeploymentReplicasNotUpdated
expr: ((kube_deployment_status_replicas_updated != kube_deployment_spec_replicas)
or (kube_deployment_status_replicas_available != kube_deployment_spec_replicas))
unless (kube_deployment_spec_paused == 1)
for: 15m
labels:
severity: warning
annotations:
description: Replicas are not updated and available for deployment {{$labels.namespace}}/{{$labels.deployment}}
summary: Deployment replicas are outdated
- alert: DaemonSetRolloutStuck
expr: kube_daemonset_status_number_ready / kube_daemonset_status_desired_number_scheduled
* 100 < 100
for: 15m
labels:
severity: warning
annotations:
description: Only {{$value}}% of desired pods scheduled and ready for daemon
set {{$labels.namespace}}/{{$labels.daemonset}}
summary: DaemonSet is missing pods
- alert: K8SDaemonSetsNotScheduled
expr: kube_daemonset_status_desired_number_scheduled - kube_daemonset_status_current_number_scheduled
> 0
for: 10m
labels:
severity: warning
annotations:
description: A number of daemonsets are not scheduled.
summary: Daemonsets are not scheduled correctly
- alert: DaemonSetsMissScheduled
expr: kube_daemonset_status_number_misscheduled > 0
for: 10m
labels:
severity: warning
annotations:
description: A number of daemonsets are running where they are not supposed
to run.
summary: Daemonsets are not scheduled correctly
- alert: PodFrequentlyRestarting
expr: increase(kube_pod_container_status_restarts_total[1h]) > 5
for: 10m
labels:
severity: warning
annotations:
description: Pod {{$labels.namespace}}/{{$labels.pod}} was restarted {{$value}}
times within the last hour
summary: Pod is restarting frequently

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@@ -1,48 +0,0 @@
groups:
- name: kubelet.rules
rules:
- alert: K8SNodeNotReady
expr: kube_node_status_condition{condition="Ready",status="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_condition{condition="Ready",status="true"} == 0)
> 1 and (count(kube_node_status_condition{condition="Ready",status="true"} ==
0) / count(kube_node_status_condition{condition="Ready",status="true"})) * 100 > 20
for: 1m
labels:
severity: critical
annotations:
description: '{{ $value }}% of Kubernetes nodes are not ready'
- alert: K8SKubeletDown
expr: count(up{job="kubelet"} == 0) / count(up{job="kubelet"}) * 100 > 3
for: 1h
labels:
severity: warning
annotations:
description: Prometheus failed to scrape {{ $value }}% of kubelets.
summary: Prometheus failed to scrape
- alert: K8SKubeletDown
expr: (absent(up{job="kubelet"} == 1) or count(up{job="kubelet"} == 0) / count(up{job="kubelet"}))
* 100 > 10
for: 1h
labels:
severity: critical
annotations:
description: Prometheus failed to scrape {{ $value }}% of kubelets, or all Kubelets
have disappeared from service discovery.
summary: Many Kubelets cannot be scraped
- alert: K8SKubeletTooManyPods
expr: kubelet_running_pod_count > 100
for: 10m
labels:
severity: warning
annotations:
description: Kubelet {{$labels.instance}} is running {{$value}} pods, close
to the limit of 110
summary: Kubelet is close to pod limit

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@@ -1,106 +0,0 @@
groups:
- name: kubernetes.rules
rules:
- record: pod_name:container_memory_usage_bytes:sum
expr: sum(container_memory_usage_bytes{container_name!="POD",pod_name!=""}) BY
(pod_name)
- record: pod_name:container_spec_cpu_shares:sum
expr: sum(container_spec_cpu_shares{container_name!="POD",pod_name!=""}) BY (pod_name)
- record: pod_name:container_cpu_usage:sum
expr: sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name!=""}[5m]))
BY (pod_name)
- record: pod_name:container_fs_usage_bytes:sum
expr: sum(container_fs_usage_bytes{container_name!="POD",pod_name!=""}) BY (pod_name)
- record: namespace:container_memory_usage_bytes:sum
expr: sum(container_memory_usage_bytes{container_name!=""}) BY (namespace)
- record: namespace:container_spec_cpu_shares:sum
expr: sum(container_spec_cpu_shares{container_name!=""}) BY (namespace)
- record: namespace:container_cpu_usage:sum
expr: sum(rate(container_cpu_usage_seconds_total{container_name!="POD"}[5m]))
BY (namespace)
- record: cluster:memory_usage:ratio
expr: sum(container_memory_usage_bytes{container_name!="POD",pod_name!=""}) BY
(cluster) / sum(machine_memory_bytes) BY (cluster)
- record: cluster:container_spec_cpu_shares:ratio
expr: sum(container_spec_cpu_shares{container_name!="POD",pod_name!=""}) / 1000
/ sum(machine_cpu_cores)
- record: cluster:container_cpu_usage:ratio
expr: sum(rate(container_cpu_usage_seconds_total{container_name!="POD",pod_name!=""}[5m]))
/ sum(machine_cpu_cores)
- record: apiserver_latency_seconds:quantile
expr: histogram_quantile(0.99, rate(apiserver_request_latencies_bucket[5m])) /
1e+06
labels:
quantile: "0.99"
- record: apiserver_latency:quantile_seconds
expr: histogram_quantile(0.9, rate(apiserver_request_latencies_bucket[5m])) /
1e+06
labels:
quantile: "0.9"
- record: apiserver_latency_seconds:quantile
expr: histogram_quantile(0.5, rate(apiserver_request_latencies_bucket[5m])) /
1e+06
labels:
quantile: "0.5"
- alert: APIServerLatencyHigh
expr: apiserver_latency_seconds:quantile{quantile="0.99",subresource!="log",verb!~"^(?:WATCH|WATCHLIST|PROXY|CONNECT)$"}
> 1
for: 10m
labels:
severity: warning
annotations:
description: the API server has a 99th percentile latency of {{ $value }} seconds
for {{$labels.verb}} {{$labels.resource}}
summary: API server high latency
- alert: APIServerLatencyHigh
expr: apiserver_latency_seconds:quantile{quantile="0.99",subresource!="log",verb!~"^(?:WATCH|WATCHLIST|PROXY|CONNECT)$"}
> 4
for: 10m
labels:
severity: critical
annotations:
description: the API server has a 99th percentile latency of {{ $value }} seconds
for {{$labels.verb}} {{$labels.resource}}
summary: API server high latency
- alert: APIServerErrorsHigh
expr: rate(apiserver_request_count{code=~"^(?:5..)$"}[5m]) / rate(apiserver_request_count[5m])
* 100 > 2
for: 10m
labels:
severity: warning
annotations:
description: API server returns errors for {{ $value }}% of requests
summary: API server request errors
- alert: APIServerErrorsHigh
expr: rate(apiserver_request_count{code=~"^(?:5..)$"}[5m]) / rate(apiserver_request_count[5m])
* 100 > 5
for: 10m
labels:
severity: critical
annotations:
description: API server returns errors for {{ $value }}% of requests
- alert: K8SApiserverDown
expr: absent(up{job="apiserver"} == 1)
for: 20m
labels:
severity: critical
annotations:
description: No API servers are reachable or all have disappeared from service
discovery
summary: No API servers are reachable
- alert: K8sCertificateExpirationNotice
labels:
severity: warning
annotations:
description: Kubernetes API Certificate is expiring soon (less than 7 days)
summary: Kubernetes API Certificate is expiering soon
expr: sum(apiserver_client_certificate_expiration_seconds_bucket{le="604800"}) > 0
- alert: K8sCertificateExpirationNotice
labels:
severity: critical
annotations:
description: Kubernetes API Certificate is expiring in less than 1 day
summary: Kubernetes API Certificate is expiering
expr: sum(apiserver_client_certificate_expiration_seconds_bucket{le="86400"}) > 0