rpi.carlosedp.cluster-monit.../manifests/prometheus-rules.yaml

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apiVersion: monitoring.coreos.com/v1
kind: PrometheusRule
metadata:
labels:
prometheus: k8s
role: alert-rules
name: prometheus-k8s-rules
namespace: monitoring
spec:
groups:
- name: k8s.rules
rules:
- expr: |
sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])) by (namespace)
record: namespace:container_cpu_usage_seconds_total:sum_rate
- expr: |
sum by (namespace, pod_name, container_name) (
rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])
)
record: namespace_pod_name_container_name:container_cpu_usage_seconds_total:sum_rate
- expr: |
sum(container_memory_usage_bytes{job="kubelet", image!="", container_name!=""}) by (namespace)
record: namespace:container_memory_usage_bytes:sum
- expr: |
sum by (namespace, label_name) (
sum(rate(container_cpu_usage_seconds_total{job="kubelet", image!="", container_name!=""}[5m])) by (namespace, pod_name)
* on (namespace, pod_name) group_left(label_name)
label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)")
)
record: namespace_name:container_cpu_usage_seconds_total:sum_rate
- expr: |
sum by (namespace, label_name) (
sum(container_memory_usage_bytes{job="kubelet",image!="", container_name!=""}) by (pod_name, namespace)
* on (namespace, pod_name) group_left(label_name)
label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)")
)
record: namespace_name:container_memory_usage_bytes:sum
- expr: |
sum by (namespace, label_name) (
sum(kube_pod_container_resource_requests_memory_bytes{job="kube-state-metrics"} * on (endpoint, instance, job, namespace, pod, service) group_left(phase) (kube_pod_status_phase{phase=~"^(Pending|Running)$"} == 1)) by (namespace, pod)
* on (namespace, pod) group_left(label_name)
label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)")
)
record: namespace_name:kube_pod_container_resource_requests_memory_bytes:sum
- expr: |
sum by (namespace, label_name) (
sum(kube_pod_container_resource_requests_cpu_cores{job="kube-state-metrics"} * on (endpoint, instance, job, namespace, pod, service) group_left(phase) (kube_pod_status_phase{phase=~"^(Pending|Running)$"} == 1)) by (namespace, pod)
* on (namespace, pod) group_left(label_name)
label_replace(kube_pod_labels{job="kube-state-metrics"}, "pod_name", "$1", "pod", "(.*)")
)
record: namespace_name:kube_pod_container_resource_requests_cpu_cores:sum
- expr: |
sum(
label_replace(
label_replace(
kube_pod_owner{job="kube-state-metrics", owner_kind="ReplicaSet"},
"replicaset", "$1", "owner_name", "(.*)"
) * on(replicaset, namespace) group_left(owner_name) kube_replicaset_owner{job="kube-state-metrics"},
"workload", "$1", "owner_name", "(.*)"
)
) by (namespace, workload, pod)
labels:
workload_type: deployment
record: mixin_pod_workload
- expr: |
sum(
label_replace(
kube_pod_owner{job="kube-state-metrics", owner_kind="DaemonSet"},
"workload", "$1", "owner_name", "(.*)"
)
) by (namespace, workload, pod)
labels:
workload_type: daemonset
record: mixin_pod_workload
- expr: |
sum(
label_replace(
kube_pod_owner{job="kube-state-metrics", owner_kind="StatefulSet"},
"workload", "$1", "owner_name", "(.*)"
)
) by (namespace, workload, pod)
labels:
workload_type: statefulset
record: mixin_pod_workload
- name: kube-scheduler.rules
rules:
- expr: |
histogram_quantile(0.99, sum(rate(scheduler_e2e_scheduling_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.99"
record: cluster_quantile:scheduler_e2e_scheduling_latency:histogram_quantile
- expr: |
histogram_quantile(0.99, sum(rate(scheduler_scheduling_algorithm_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.99"
record: cluster_quantile:scheduler_scheduling_algorithm_latency:histogram_quantile
- expr: |
histogram_quantile(0.99, sum(rate(scheduler_binding_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.99"
record: cluster_quantile:scheduler_binding_latency:histogram_quantile
- expr: |
histogram_quantile(0.9, sum(rate(scheduler_e2e_scheduling_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.9"
record: cluster_quantile:scheduler_e2e_scheduling_latency:histogram_quantile
- expr: |
histogram_quantile(0.9, sum(rate(scheduler_scheduling_algorithm_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.9"
record: cluster_quantile:scheduler_scheduling_algorithm_latency:histogram_quantile
- expr: |
histogram_quantile(0.9, sum(rate(scheduler_binding_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.9"
record: cluster_quantile:scheduler_binding_latency:histogram_quantile
- expr: |
histogram_quantile(0.5, sum(rate(scheduler_e2e_scheduling_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.5"
record: cluster_quantile:scheduler_e2e_scheduling_latency:histogram_quantile
- expr: |
histogram_quantile(0.5, sum(rate(scheduler_scheduling_algorithm_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.5"
record: cluster_quantile:scheduler_scheduling_algorithm_latency:histogram_quantile
- expr: |
histogram_quantile(0.5, sum(rate(scheduler_binding_latency_microseconds_bucket{job="kube-scheduler"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.5"
record: cluster_quantile:scheduler_binding_latency:histogram_quantile
- name: kube-apiserver.rules
rules:
- expr: |
histogram_quantile(0.99, sum(rate(apiserver_request_latencies_bucket{job="apiserver"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.99"
record: cluster_quantile:apiserver_request_latencies:histogram_quantile
- expr: |
histogram_quantile(0.9, sum(rate(apiserver_request_latencies_bucket{job="apiserver"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.9"
record: cluster_quantile:apiserver_request_latencies:histogram_quantile
- expr: |
histogram_quantile(0.5, sum(rate(apiserver_request_latencies_bucket{job="apiserver"}[5m])) without(instance, pod)) / 1e+06
labels:
quantile: "0.5"
record: cluster_quantile:apiserver_request_latencies:histogram_quantile
- name: node.rules
rules:
- expr: sum(min(kube_pod_info) by (node))
record: ':kube_pod_info_node_count:'
- expr: |
max(label_replace(kube_pod_info{job="kube-state-metrics"}, "pod", "$1", "pod", "(.*)")) by (node, namespace, pod)
record: 'node_namespace_pod:kube_pod_info:'
- expr: |
count by (node) (sum by (node, cpu) (
node_cpu_seconds_total{job="node-exporter"}
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
))
record: node:node_num_cpu:sum
- expr: |
1 - avg(rate(node_cpu_seconds_total{job="node-exporter",mode="idle"}[1m]))
record: :node_cpu_utilisation:avg1m
- expr: |
1 - avg by (node) (
rate(node_cpu_seconds_total{job="node-exporter",mode="idle"}[1m])
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:)
record: node:node_cpu_utilisation:avg1m
- expr: |
node:node_cpu_utilisation:avg1m
*
node:node_num_cpu:sum
/
scalar(sum(node:node_num_cpu:sum))
record: node:cluster_cpu_utilisation:ratio
- expr: |
sum(node_load1{job="node-exporter"})
/
sum(node:node_num_cpu:sum)
record: ':node_cpu_saturation_load1:'
- expr: |
sum by (node) (
node_load1{job="node-exporter"}
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
/
node:node_num_cpu:sum
record: 'node:node_cpu_saturation_load1:'
- expr: |
1 -
sum(node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"})
/
sum(node_memory_MemTotal_bytes{job="node-exporter"})
record: ':node_memory_utilisation:'
- expr: |
sum(node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"})
record: :node_memory_MemFreeCachedBuffers_bytes:sum
- expr: |
sum(node_memory_MemTotal_bytes{job="node-exporter"})
record: :node_memory_MemTotal_bytes:sum
- expr: |
sum by (node) (
(node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"})
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_memory_bytes_available:sum
- expr: |
sum by (node) (
node_memory_MemTotal_bytes{job="node-exporter"}
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_memory_bytes_total:sum
- expr: |
(node:node_memory_bytes_total:sum - node:node_memory_bytes_available:sum)
/
node:node_memory_bytes_total:sum
record: node:node_memory_utilisation:ratio
- expr: |
(node:node_memory_bytes_total:sum - node:node_memory_bytes_available:sum)
/
scalar(sum(node:node_memory_bytes_total:sum))
record: node:cluster_memory_utilisation:ratio
- expr: |
1e3 * sum(
(rate(node_vmstat_pgpgin{job="node-exporter"}[1m])
+ rate(node_vmstat_pgpgout{job="node-exporter"}[1m]))
)
record: :node_memory_swap_io_bytes:sum_rate
- expr: |
1 -
sum by (node) (
(node_memory_MemFree_bytes{job="node-exporter"} + node_memory_Cached_bytes{job="node-exporter"} + node_memory_Buffers_bytes{job="node-exporter"})
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
/
sum by (node) (
node_memory_MemTotal_bytes{job="node-exporter"}
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: 'node:node_memory_utilisation:'
- expr: |
1 - (node:node_memory_bytes_available:sum / node:node_memory_bytes_total:sum)
record: 'node:node_memory_utilisation_2:'
- expr: |
1e3 * sum by (node) (
(rate(node_vmstat_pgpgin{job="node-exporter"}[1m])
+ rate(node_vmstat_pgpgout{job="node-exporter"}[1m]))
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_memory_swap_io_bytes:sum_rate
- expr: |
2019-03-13 22:44:16 +01:00
avg(irate(node_disk_io_time_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m]))
record: :node_disk_utilisation:avg_irate
- expr: |
avg by (node) (
2019-03-13 22:44:16 +01:00
irate(node_disk_io_time_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m])
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_disk_utilisation:avg_irate
- expr: |
avg(irate(node_disk_io_time_weighted_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m]))
record: :node_disk_saturation:avg_irate
- expr: |
avg by (node) (
irate(node_disk_io_time_weighted_seconds_total{job="node-exporter",device=~"nvme.+|rbd.+|sd.+|vd.+|xvd.+|dm-.+"}[1m])
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_disk_saturation:avg_irate
- expr: |
max by (namespace, pod, device) ((node_filesystem_size_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"}
- node_filesystem_avail_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"})
/ node_filesystem_size_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"})
record: 'node:node_filesystem_usage:'
- expr: |
max by (namespace, pod, device) (node_filesystem_avail_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"} / node_filesystem_size_bytes{fstype=~"ext[234]|btrfs|xfs|zfs"})
record: 'node:node_filesystem_avail:'
- expr: |
sum(irate(node_network_receive_bytes_total{job="node-exporter",device!~"veth.+"}[1m])) +
sum(irate(node_network_transmit_bytes_total{job="node-exporter",device!~"veth.+"}[1m]))
record: :node_net_utilisation:sum_irate
- expr: |
sum by (node) (
(irate(node_network_receive_bytes_total{job="node-exporter",device!~"veth.+"}[1m]) +
irate(node_network_transmit_bytes_total{job="node-exporter",device!~"veth.+"}[1m]))
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_net_utilisation:sum_irate
- expr: |
sum(irate(node_network_receive_drop_total{job="node-exporter",device!~"veth.+"}[1m])) +
sum(irate(node_network_transmit_drop_total{job="node-exporter",device!~"veth.+"}[1m]))
record: :node_net_saturation:sum_irate
- expr: |
sum by (node) (
(irate(node_network_receive_drop_total{job="node-exporter",device!~"veth.+"}[1m]) +
irate(node_network_transmit_drop_total{job="node-exporter",device!~"veth.+"}[1m]))
* on (namespace, pod) group_left(node)
node_namespace_pod:kube_pod_info:
)
record: node:node_net_saturation:sum_irate
- expr: |
max(
max(
kube_pod_info{job="kube-state-metrics", host_ip!=""}
) by (node, host_ip)
* on (host_ip) group_right (node)
label_replace(
(max(node_filesystem_files{job="node-exporter", mountpoint="/"}) by (instance)), "host_ip", "$1", "instance", "(.*):.*"
)
) by (node)
record: 'node:node_inodes_total:'
- expr: |
max(
max(
kube_pod_info{job="kube-state-metrics", host_ip!=""}
) by (node, host_ip)
* on (host_ip) group_right (node)
label_replace(
(max(node_filesystem_files_free{job="node-exporter", mountpoint="/"}) by (instance)), "host_ip", "$1", "instance", "(.*):.*"
)
) by (node)
record: 'node:node_inodes_free:'
- name: kube-prometheus-node-recording.rules
rules:
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- expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait"}[3m])) BY
(instance)
record: instance:node_cpu:rate:sum
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- expr: sum((node_filesystem_size_bytes{mountpoint="/"} - node_filesystem_free_bytes{mountpoint="/"}))
BY (instance)
record: instance:node_filesystem_usage:sum
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- expr: sum(rate(node_network_receive_bytes_total[3m])) BY (instance)
record: instance:node_network_receive_bytes:rate:sum
2019-02-01 14:52:53 +01:00
- expr: sum(rate(node_network_transmit_bytes_total[3m])) BY (instance)
record: instance:node_network_transmit_bytes:rate:sum
2019-02-01 14:52:53 +01:00
- expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait"}[5m])) WITHOUT
(cpu, mode) / ON(instance) GROUP_LEFT() count(sum(node_cpu_seconds_total)
BY (instance, cpu)) BY (instance)
record: instance:node_cpu:ratio
2019-02-01 14:52:53 +01:00
- expr: sum(rate(node_cpu_seconds_total{mode!="idle",mode!="iowait"}[5m]))
record: cluster:node_cpu:sum_rate5m
2019-02-01 14:52:53 +01:00
- expr: cluster:node_cpu_seconds_total:rate5m / count(sum(node_cpu_seconds_total)
BY (instance, cpu))
record: cluster:node_cpu:ratio
- name: kubernetes-absent
rules:
- alert: AlertmanagerDown
annotations:
message: Alertmanager has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-alertmanagerdown
expr: |
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absent(up{job="alertmanager-main",namespace="monitoring"} == 1)
for: 15m
labels:
severity: critical
- alert: CoreDNSDown
annotations:
message: CoreDNS has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-corednsdown
expr: |
absent(up{job="kube-dns"} == 1)
for: 15m
labels:
severity: critical
- alert: KubeAPIDown
annotations:
message: KubeAPI has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapidown
expr: |
absent(up{job="apiserver"} == 1)
for: 15m
labels:
severity: critical
- alert: KubeControllerManagerDown
annotations:
message: KubeControllerManager has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecontrollermanagerdown
expr: |
absent(up{job="kube-controller-manager"} == 1)
for: 15m
labels:
severity: critical
- alert: KubeSchedulerDown
annotations:
message: KubeScheduler has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeschedulerdown
expr: |
absent(up{job="kube-scheduler"} == 1)
for: 15m
labels:
severity: critical
- alert: KubeStateMetricsDown
annotations:
message: KubeStateMetrics has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatemetricsdown
expr: |
absent(up{job="kube-state-metrics"} == 1)
for: 15m
labels:
severity: critical
- alert: KubeletDown
annotations:
message: Kubelet has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeletdown
expr: |
absent(up{job="kubelet"} == 1)
for: 15m
labels:
severity: critical
- alert: NodeExporterDown
annotations:
message: NodeExporter has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-nodeexporterdown
expr: |
absent(up{job="node-exporter"} == 1)
for: 15m
labels:
severity: critical
- alert: PrometheusDown
annotations:
message: Prometheus has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-prometheusdown
expr: |
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absent(up{job="prometheus-k8s",namespace="monitoring"} == 1)
for: 15m
labels:
severity: critical
- alert: PrometheusOperatorDown
annotations:
message: PrometheusOperator has disappeared from Prometheus target discovery.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-prometheusoperatordown
expr: |
2019-02-01 14:52:53 +01:00
absent(up{job="prometheus-operator",namespace="monitoring"} == 1)
for: 15m
labels:
severity: critical
- name: kubernetes-apps
rules:
- alert: KubePodCrashLooping
annotations:
message: Pod {{ $labels.namespace }}/{{ $labels.pod }} ({{ $labels.container
}}) is restarting {{ printf "%.2f" $value }} times / 5 minutes.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodcrashlooping
expr: |
rate(kube_pod_container_status_restarts_total{job="kube-state-metrics"}[15m]) * 60 * 5 > 0
for: 1h
labels:
severity: critical
- alert: KubePodNotReady
annotations:
message: Pod {{ $labels.namespace }}/{{ $labels.pod }} has been in a non-ready
state for longer than an hour.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepodnotready
expr: |
sum by (namespace, pod) (kube_pod_status_phase{job="kube-state-metrics", phase=~"Pending|Unknown"}) > 0
for: 1h
labels:
severity: critical
- alert: KubeDeploymentGenerationMismatch
annotations:
message: Deployment generation for {{ $labels.namespace }}/{{ $labels.deployment
}} does not match, this indicates that the Deployment has failed but has
not been rolled back.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedeploymentgenerationmismatch
expr: |
kube_deployment_status_observed_generation{job="kube-state-metrics"}
!=
kube_deployment_metadata_generation{job="kube-state-metrics"}
for: 15m
labels:
severity: critical
- alert: KubeDeploymentReplicasMismatch
annotations:
message: Deployment {{ $labels.namespace }}/{{ $labels.deployment }} has not
matched the expected number of replicas for longer than an hour.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedeploymentreplicasmismatch
expr: |
kube_deployment_spec_replicas{job="kube-state-metrics"}
!=
kube_deployment_status_replicas_available{job="kube-state-metrics"}
for: 1h
labels:
severity: critical
- alert: KubeStatefulSetReplicasMismatch
annotations:
message: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} has
not matched the expected number of replicas for longer than 15 minutes.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatefulsetreplicasmismatch
expr: |
kube_statefulset_status_replicas_ready{job="kube-state-metrics"}
!=
kube_statefulset_status_replicas{job="kube-state-metrics"}
for: 15m
labels:
severity: critical
- alert: KubeStatefulSetGenerationMismatch
annotations:
message: StatefulSet generation for {{ $labels.namespace }}/{{ $labels.statefulset
}} does not match, this indicates that the StatefulSet has failed but has
not been rolled back.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatefulsetgenerationmismatch
expr: |
kube_statefulset_status_observed_generation{job="kube-state-metrics"}
!=
kube_statefulset_metadata_generation{job="kube-state-metrics"}
for: 15m
labels:
severity: critical
- alert: KubeStatefulSetUpdateNotRolledOut
annotations:
message: StatefulSet {{ $labels.namespace }}/{{ $labels.statefulset }} update
has not been rolled out.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubestatefulsetupdatenotrolledout
expr: |
max without (revision) (
kube_statefulset_status_current_revision{job="kube-state-metrics"}
unless
kube_statefulset_status_update_revision{job="kube-state-metrics"}
)
*
(
kube_statefulset_replicas{job="kube-state-metrics"}
!=
kube_statefulset_status_replicas_updated{job="kube-state-metrics"}
)
for: 15m
labels:
severity: critical
- alert: KubeDaemonSetRolloutStuck
annotations:
message: Only {{ $value }}% of the desired Pods of DaemonSet {{ $labels.namespace
}}/{{ $labels.daemonset }} are scheduled and ready.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetrolloutstuck
expr: |
kube_daemonset_status_number_ready{job="kube-state-metrics"}
/
kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"} * 100 < 100
for: 15m
labels:
severity: critical
- alert: KubeDaemonSetNotScheduled
annotations:
message: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset
}} are not scheduled.'
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetnotscheduled
expr: |
kube_daemonset_status_desired_number_scheduled{job="kube-state-metrics"}
-
kube_daemonset_status_current_number_scheduled{job="kube-state-metrics"} > 0
for: 10m
labels:
severity: warning
- alert: KubeDaemonSetMisScheduled
annotations:
message: '{{ $value }} Pods of DaemonSet {{ $labels.namespace }}/{{ $labels.daemonset
}} are running where they are not supposed to run.'
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubedaemonsetmisscheduled
expr: |
kube_daemonset_status_number_misscheduled{job="kube-state-metrics"} > 0
for: 10m
labels:
severity: warning
- alert: KubeCronJobRunning
annotations:
message: CronJob {{ $labels.namespace }}/{{ $labels.cronjob }} is taking more
than 1h to complete.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecronjobrunning
expr: |
time() - kube_cronjob_next_schedule_time{job="kube-state-metrics"} > 3600
for: 1h
labels:
severity: warning
- alert: KubeJobCompletion
annotations:
message: Job {{ $labels.namespace }}/{{ $labels.job_name }} is taking more
than one hour to complete.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobcompletion
expr: |
kube_job_spec_completions{job="kube-state-metrics"} - kube_job_status_succeeded{job="kube-state-metrics"} > 0
for: 1h
labels:
severity: warning
- alert: KubeJobFailed
annotations:
message: Job {{ $labels.namespace }}/{{ $labels.job_name }} failed to complete.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubejobfailed
expr: |
kube_job_status_failed{job="kube-state-metrics"} > 0
for: 1h
labels:
severity: warning
- name: kubernetes-resources
rules:
- alert: KubeCPUOvercommit
annotations:
message: Cluster has overcommitted CPU resource requests for Pods and cannot
tolerate node failure.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuovercommit
expr: |
sum(namespace_name:kube_pod_container_resource_requests_cpu_cores:sum)
/
sum(node:node_num_cpu:sum)
>
(count(node:node_num_cpu:sum)-1) / count(node:node_num_cpu:sum)
for: 5m
labels:
severity: warning
- alert: KubeMemOvercommit
annotations:
message: Cluster has overcommitted memory resource requests for Pods and cannot
tolerate node failure.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememovercommit
expr: |
sum(namespace_name:kube_pod_container_resource_requests_memory_bytes:sum)
/
sum(node_memory_MemTotal_bytes)
>
(count(node:node_num_cpu:sum)-1)
/
count(node:node_num_cpu:sum)
for: 5m
labels:
severity: warning
- alert: KubeCPUOvercommit
annotations:
message: Cluster has overcommitted CPU resource requests for Namespaces.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubecpuovercommit
expr: |
sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="cpu"})
/
sum(node:node_num_cpu:sum)
> 1.5
for: 5m
labels:
severity: warning
- alert: KubeMemOvercommit
annotations:
message: Cluster has overcommitted memory resource requests for Namespaces.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubememovercommit
expr: |
sum(kube_resourcequota{job="kube-state-metrics", type="hard", resource="memory"})
/
sum(node_memory_MemTotal_bytes{job="node-exporter"})
> 1.5
for: 5m
labels:
severity: warning
- alert: KubeQuotaExceeded
annotations:
message: Namespace {{ $labels.namespace }} is using {{ printf "%0.0f" $value
}}% of its {{ $labels.resource }} quota.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubequotaexceeded
expr: |
100 * kube_resourcequota{job="kube-state-metrics", type="used"}
/ ignoring(instance, job, type)
(kube_resourcequota{job="kube-state-metrics", type="hard"} > 0)
> 90
for: 15m
labels:
severity: warning
- alert: CPUThrottlingHigh
annotations:
message: '{{ printf "%0.0f" $value }}% throttling of CPU in namespace {{ $labels.namespace
}} for container {{ $labels.container_name }} in pod {{ $labels.pod_name
}}.'
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-cputhrottlinghigh
2019-02-01 14:52:53 +01:00
expr: "100 * sum(increase(container_cpu_cfs_throttled_periods_total{container_name!=\"\",
}[5m])) by (container_name, pod_name, namespace)\n /\nsum(increase(container_cpu_cfs_periods_total{}[5m]))
by (container_name, pod_name, namespace)\n > 25 \n"
for: 15m
labels:
severity: warning
- name: kubernetes-storage
rules:
- alert: KubePersistentVolumeUsageCritical
annotations:
message: The PersistentVolume claimed by {{ $labels.persistentvolumeclaim
}} in Namespace {{ $labels.namespace }} is only {{ printf "%0.2f" $value
}}% free.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeusagecritical
expr: |
100 * kubelet_volume_stats_available_bytes{job="kubelet"}
/
kubelet_volume_stats_capacity_bytes{job="kubelet"}
< 3
for: 1m
labels:
severity: critical
- alert: KubePersistentVolumeFullInFourDays
annotations:
message: Based on recent sampling, the PersistentVolume claimed by {{ $labels.persistentvolumeclaim
}} in Namespace {{ $labels.namespace }} is expected to fill up within four
days. Currently {{ printf "%0.2f" $value }}% is available.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumefullinfourdays
expr: |
100 * (
kubelet_volume_stats_available_bytes{job="kubelet"}
/
kubelet_volume_stats_capacity_bytes{job="kubelet"}
) < 15
and
predict_linear(kubelet_volume_stats_available_bytes{job="kubelet"}[6h], 4 * 24 * 3600) < 0
for: 5m
labels:
severity: critical
- alert: KubePersistentVolumeErrors
annotations:
message: The persistent volume {{ $labels.persistentvolume }} has status {{
$labels.phase }}.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubepersistentvolumeerrors
expr: |
kube_persistentvolume_status_phase{phase=~"Failed|Pending",job="kube-state-metrics"} > 0
for: 5m
labels:
severity: critical
- name: kubernetes-system
rules:
- alert: KubeNodeNotReady
annotations:
message: '{{ $labels.node }} has been unready for more than an hour.'
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubenodenotready
expr: |
kube_node_status_condition{job="kube-state-metrics",condition="Ready",status="true"} == 0
for: 1h
labels:
severity: warning
- alert: KubeVersionMismatch
annotations:
message: There are {{ $value }} different semantic versions of Kubernetes
components running.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeversionmismatch
expr: |
count(count by (gitVersion) (label_replace(kubernetes_build_info{job!="kube-dns"},"gitVersion","$1","gitVersion","(v[0-9]*.[0-9]*.[0-9]*).*"))) > 1
for: 1h
labels:
severity: warning
- alert: KubeClientErrors
annotations:
message: Kubernetes API server client '{{ $labels.job }}/{{ $labels.instance
}}' is experiencing {{ printf "%0.0f" $value }}% errors.'
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclienterrors
expr: |
(sum(rate(rest_client_requests_total{code=~"5.."}[5m])) by (instance, job)
/
sum(rate(rest_client_requests_total[5m])) by (instance, job))
* 100 > 1
for: 15m
labels:
severity: warning
- alert: KubeClientErrors
annotations:
message: Kubernetes API server client '{{ $labels.job }}/{{ $labels.instance
}}' is experiencing {{ printf "%0.0f" $value }} errors / second.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclienterrors
expr: |
sum(rate(ksm_scrape_error_total{job="kube-state-metrics"}[5m])) by (instance, job) > 0.1
for: 15m
labels:
severity: warning
- alert: KubeletTooManyPods
annotations:
message: Kubelet {{ $labels.instance }} is running {{ $value }} Pods, close
to the limit of 110.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubelettoomanypods
expr: |
kubelet_running_pod_count{job="kubelet"} > 110 * 0.9
for: 15m
labels:
severity: warning
- alert: KubeAPILatencyHigh
annotations:
message: The API server has a 99th percentile latency of {{ $value }} seconds
for {{ $labels.verb }} {{ $labels.resource }}.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapilatencyhigh
expr: |
cluster_quantile:apiserver_request_latencies:histogram_quantile{job="apiserver",quantile="0.99",subresource!="log",verb!~"^(?:LIST|WATCH|WATCHLIST|PROXY|CONNECT)$"} > 1
for: 10m
labels:
severity: warning
- alert: KubeAPILatencyHigh
annotations:
message: The API server has a 99th percentile latency of {{ $value }} seconds
for {{ $labels.verb }} {{ $labels.resource }}.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapilatencyhigh
expr: |
cluster_quantile:apiserver_request_latencies:histogram_quantile{job="apiserver",quantile="0.99",subresource!="log",verb!~"^(?:LIST|WATCH|WATCHLIST|PROXY|CONNECT)$"} > 4
for: 10m
labels:
severity: critical
- alert: KubeAPIErrorsHigh
annotations:
message: API server is returning errors for {{ $value }}% of requests.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh
expr: |
2019-03-13 22:44:16 +01:00
sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m]))
/
2019-03-13 22:44:16 +01:00
sum(rate(apiserver_request_count{job="apiserver"}[5m])) * 100 > 3
for: 10m
labels:
severity: critical
- alert: KubeAPIErrorsHigh
annotations:
message: API server is returning errors for {{ $value }}% of requests.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh
expr: |
2019-03-13 22:44:16 +01:00
sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m]))
/
2019-03-13 22:44:16 +01:00
sum(rate(apiserver_request_count{job="apiserver"}[5m])) * 100 > 1
for: 10m
labels:
severity: warning
- alert: KubeAPIErrorsHigh
annotations:
message: API server is returning errors for {{ $value }}% of requests for
{{ $labels.verb }} {{ $labels.resource }} {{ $labels.subresource }}.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh
expr: |
sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m])) by (resource,subresource,verb)
/
sum(rate(apiserver_request_count{job="apiserver"}[5m])) by (resource,subresource,verb) * 100 > 10
for: 10m
labels:
severity: critical
- alert: KubeAPIErrorsHigh
annotations:
message: API server is returning errors for {{ $value }}% of requests for
{{ $labels.verb }} {{ $labels.resource }} {{ $labels.subresource }}.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeapierrorshigh
expr: |
sum(rate(apiserver_request_count{job="apiserver",code=~"^(?:5..)$"}[5m])) by (resource,subresource,verb)
/
sum(rate(apiserver_request_count{job="apiserver"}[5m])) by (resource,subresource,verb) * 100 > 5
for: 10m
labels:
severity: warning
- alert: KubeClientCertificateExpiration
annotations:
2019-02-01 14:52:53 +01:00
message: A client certificate used to authenticate to the apiserver is expiring
in less than 7.0 days.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclientcertificateexpiration
expr: |
apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 604800
labels:
severity: warning
- alert: KubeClientCertificateExpiration
annotations:
2019-02-01 14:52:53 +01:00
message: A client certificate used to authenticate to the apiserver is expiring
in less than 24.0 hours.
runbook_url: https://github.com/kubernetes-monitoring/kubernetes-mixin/tree/master/runbook.md#alert-name-kubeclientcertificateexpiration
expr: |
apiserver_client_certificate_expiration_seconds_count{job="apiserver"} > 0 and histogram_quantile(0.01, sum by (job, le) (rate(apiserver_client_certificate_expiration_seconds_bucket{job="apiserver"}[5m]))) < 86400
labels:
severity: critical
- name: alertmanager.rules
rules:
- alert: AlertmanagerConfigInconsistent
annotations:
message: The configuration of the instances of the Alertmanager cluster `{{$labels.service}}`
are out of sync.
expr: |
2019-02-01 14:52:53 +01:00
count_values("config_hash", alertmanager_config_hash{job="alertmanager-main",namespace="monitoring"}) BY (service) / ON(service) GROUP_LEFT() label_replace(prometheus_operator_spec_replicas{job="prometheus-operator",namespace="monitoring",controller="alertmanager"}, "service", "alertmanager-$1", "name", "(.*)") != 1
for: 5m
labels:
severity: critical
- alert: AlertmanagerFailedReload
annotations:
message: Reloading Alertmanager's configuration has failed for {{ $labels.namespace
}}/{{ $labels.pod}}.
expr: |
2019-02-01 14:52:53 +01:00
alertmanager_config_last_reload_successful{job="alertmanager-main",namespace="monitoring"} == 0
for: 10m
labels:
severity: warning
- alert: AlertmanagerMembersInconsistent
annotations:
message: Alertmanager has not found all other members of the cluster.
expr: |
2019-02-01 14:52:53 +01:00
alertmanager_cluster_members{job="alertmanager-main",namespace="monitoring"}
!= on (service) GROUP_LEFT()
2019-02-01 14:52:53 +01:00
count by (service) (alertmanager_cluster_members{job="alertmanager-main",namespace="monitoring"})
for: 5m
labels:
severity: critical
- name: general.rules
rules:
- alert: TargetDown
annotations:
message: '{{ $value }}% of the {{ $labels.job }} targets are down.'
expr: 100 * (count(up == 0) BY (job) / count(up) BY (job)) > 10
for: 10m
labels:
severity: warning
- alert: Watchdog
annotations:
message: |
This is an alert meant to ensure that the entire alerting pipeline is functional.
This alert is always firing, therefore it should always be firing in Alertmanager
and always fire against a receiver. There are integrations with various notification
mechanisms that send a notification when this alert is not firing. For example the
"DeadMansSnitch" integration in PagerDuty.
expr: vector(1)
labels:
severity: none
- name: kube-prometheus-node-alerting.rules
rules:
- alert: NodeDiskRunningFull
annotations:
message: Device {{ $labels.device }} of node-exporter {{ $labels.namespace
}}/{{ $labels.pod }} will be full within the next 24 hours.
expr: |
(node:node_filesystem_usage: > 0.85) and (predict_linear(node:node_filesystem_avail:[6h], 3600 * 24) < 0)
for: 30m
labels:
severity: warning
- alert: NodeDiskRunningFull
annotations:
message: Device {{ $labels.device }} of node-exporter {{ $labels.namespace
}}/{{ $labels.pod }} will be full within the next 2 hours.
expr: |
(node:node_filesystem_usage: > 0.85) and (predict_linear(node:node_filesystem_avail:[30m], 3600 * 2) < 0)
for: 10m
labels:
severity: critical
- name: node-time
rules:
- alert: ClockSkewDetected
annotations:
message: Clock skew detected on node-exporter {{ $labels.namespace }}/{{ $labels.pod
}}. Ensure NTP is configured correctly on this host.
expr: |
node_ntp_offset_seconds{job="node-exporter"} < -0.03 or node_ntp_offset_seconds{job="node-exporter"} > 0.03
for: 2m
labels:
severity: warning
- name: node-network
rules:
- alert: NetworkReceiveErrors
annotations:
message: Network interface "{{ $labels.device }}" showing receive errors on
node-exporter {{ $labels.namespace }}/{{ $labels.pod }}"
expr: |
rate(node_network_receive_errs_total{job="node-exporter",device!~"veth.+"}[2m]) > 0
for: 2m
labels:
severity: warning
- alert: NetworkTransmitErrors
annotations:
message: Network interface "{{ $labels.device }}" showing transmit errors
on node-exporter {{ $labels.namespace }}/{{ $labels.pod }}"
expr: |
rate(node_network_transmit_errs_total{job="node-exporter",device!~"veth.+"}[2m]) > 0
for: 2m
labels:
severity: warning
- alert: NodeNetworkInterfaceFlapping
annotations:
message: Network interface "{{ $labels.device }}" changing it's up status
often on node-exporter {{ $labels.namespace }}/{{ $labels.pod }}"
expr: |
changes(node_network_up{job="node-exporter",device!~"veth.+"}[2m]) > 2
for: 2m
labels:
severity: warning
- name: prometheus.rules
rules:
- alert: PrometheusConfigReloadFailed
annotations:
description: Reloading Prometheus' configuration has failed for {{$labels.namespace}}/{{$labels.pod}}
summary: Reloading Prometheus' configuration failed
expr: |
2019-02-01 14:52:53 +01:00
prometheus_config_last_reload_successful{job="prometheus-k8s",namespace="monitoring"} == 0
for: 10m
labels:
severity: warning
- alert: PrometheusNotificationQueueRunningFull
annotations:
description: Prometheus' alert notification queue is running full for {{$labels.namespace}}/{{
$labels.pod}}
summary: Prometheus' alert notification queue is running full
expr: |
2019-02-01 14:52:53 +01:00
predict_linear(prometheus_notifications_queue_length{job="prometheus-k8s",namespace="monitoring"}[5m], 60 * 30) > prometheus_notifications_queue_capacity{job="prometheus-k8s",namespace="monitoring"}
for: 10m
labels:
severity: warning
- alert: PrometheusErrorSendingAlerts
annotations:
description: Errors while sending alerts from Prometheus {{$labels.namespace}}/{{
$labels.pod}} to Alertmanager {{$labels.Alertmanager}}
summary: Errors while sending alert from Prometheus
expr: |
2019-02-01 14:52:53 +01:00
rate(prometheus_notifications_errors_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / rate(prometheus_notifications_sent_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0.01
for: 10m
labels:
severity: warning
- alert: PrometheusErrorSendingAlerts
annotations:
description: Errors while sending alerts from Prometheus {{$labels.namespace}}/{{
$labels.pod}} to Alertmanager {{$labels.Alertmanager}}
summary: Errors while sending alerts from Prometheus
expr: |
2019-02-01 14:52:53 +01:00
rate(prometheus_notifications_errors_total{job="prometheus-k8s",namespace="monitoring"}[5m]) / rate(prometheus_notifications_sent_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0.03
for: 10m
labels:
severity: critical
- alert: PrometheusNotConnectedToAlertmanagers
annotations:
description: Prometheus {{ $labels.namespace }}/{{ $labels.pod}} is not connected
to any Alertmanagers
summary: Prometheus is not connected to any Alertmanagers
expr: |
2019-02-01 14:52:53 +01:00
prometheus_notifications_alertmanagers_discovered{job="prometheus-k8s",namespace="monitoring"} < 1
for: 10m
labels:
severity: warning
- alert: PrometheusTSDBReloadsFailing
annotations:
description: '{{$labels.job}} at {{$labels.instance}} had {{$value | humanize}}
reload failures over the last four hours.'
summary: Prometheus has issues reloading data blocks from disk
expr: |
2019-02-01 14:52:53 +01:00
increase(prometheus_tsdb_reloads_failures_total{job="prometheus-k8s",namespace="monitoring"}[2h]) > 0
for: 12h
labels:
severity: warning
- alert: PrometheusTSDBCompactionsFailing
annotations:
description: '{{$labels.job}} at {{$labels.instance}} had {{$value | humanize}}
compaction failures over the last four hours.'
summary: Prometheus has issues compacting sample blocks
expr: |
2019-02-01 14:52:53 +01:00
increase(prometheus_tsdb_compactions_failed_total{job="prometheus-k8s",namespace="monitoring"}[2h]) > 0
for: 12h
labels:
severity: warning
- alert: PrometheusTSDBWALCorruptions
annotations:
description: '{{$labels.job}} at {{$labels.instance}} has a corrupted write-ahead
log (WAL).'
summary: Prometheus write-ahead log is corrupted
expr: |
2019-03-13 22:44:16 +01:00
prometheus_tsdb_wal_corruptions_total{job="prometheus-k8s",namespace="monitoring"} > 0
for: 4h
labels:
severity: warning
- alert: PrometheusNotIngestingSamples
annotations:
description: Prometheus {{ $labels.namespace }}/{{ $labels.pod}} isn't ingesting
samples.
summary: Prometheus isn't ingesting samples
expr: |
2019-02-01 14:52:53 +01:00
rate(prometheus_tsdb_head_samples_appended_total{job="prometheus-k8s",namespace="monitoring"}[5m]) <= 0
for: 10m
labels:
severity: warning
- alert: PrometheusTargetScrapesDuplicate
annotations:
description: '{{$labels.namespace}}/{{$labels.pod}} has many samples rejected
due to duplicate timestamps but different values'
summary: Prometheus has many samples rejected
expr: |
2019-02-01 14:52:53 +01:00
increase(prometheus_target_scrapes_sample_duplicate_timestamp_total{job="prometheus-k8s",namespace="monitoring"}[5m]) > 0
for: 10m
labels:
severity: warning
- name: prometheus-operator
rules:
- alert: PrometheusOperatorReconcileErrors
annotations:
message: Errors while reconciling {{ $labels.controller }} in {{ $labels.namespace
}} Namespace.
expr: |
2019-02-01 14:52:53 +01:00
rate(prometheus_operator_reconcile_errors_total{job="prometheus-operator",namespace="monitoring"}[5m]) > 0.1
for: 10m
labels:
severity: warning
- alert: PrometheusOperatorNodeLookupErrors
annotations:
message: Errors while reconciling Prometheus in {{ $labels.namespace }} Namespace.
expr: |
2019-02-01 14:52:53 +01:00
rate(prometheus_operator_node_address_lookup_errors_total{job="prometheus-operator",namespace="monitoring"}[5m]) > 0.1
for: 10m
labels:
severity: warning