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k8s-incident

Respond to Kubernetes incidents with runbooks and diagnostics. Use for outages, pod failures, node issues, network problems, and emergency response.

The English summary is being prepared. Showing the original description.

Works withKubernetes
See how to install

Files included (2)

  • SKILL.md4.9 KB
  • scripts/collect-diagnostics.py9.5 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

Kubernetes Incident Response

Runbooks and diagnostic workflows for common Kubernetes incidents.

When to Apply

Use this skill when:

  • User mentions: "incident", "outage", "emergency", "down", "not working"
  • Operations: emergency response, production issues, service degradation
  • Keywords: "urgent", "broken", "fix", "restore", "recover"

Priority Rules

PriorityRuleImpactTools
1Check control plane firstCRITICALget_pods(namespace="kube-system")
2Assess node healthCRITICALget_nodes
3Gather events before changesHIGHget_events
4Document timelineHIGHManual notes
5Rollback if safeMEDIUMrollback_deployment

Quick Reference

IncidentFirst ToolNext Steps
Pod failureget_pod_logs(previous=True)describe_pod, get_events
Node downdescribe_nodeCheck kubelet logs
Service unreachableget_endpointsget_network_policies
Control planeget_pods(namespace="kube-system")Check API server logs

Incident Triage

Quick Health Check

get_nodes()
get_pods(namespace="kube-system")
get_events(namespace)

Severity Assessment

IndicatorSeverityAction
Multiple nodes NotReadyCriticalEscalate immediately
kube-system pods failingCriticalControl plane issue
Single pod CrashLoopMediumDebug pod
High latencyMediumCheck resources

Runbook: Pod Failures

CrashLoopBackOff

get_pod_logs(name, namespace, previous=True)
describe_pod(name, namespace)
get_events(namespace, field_selector="involvedObject.name=<pod>")
get_pod_metrics(name, namespace)

Common Causes:

  • OOMKilled → Increase memory limits
  • Exit code 1 → Application error in logs
  • Exit code 137 → Killed by OOM or SIGKILL
  • Exit code 143 → Graceful SIGTERM

ImagePullBackOff

describe_pod(name, namespace)
get_secrets(namespace)

Pending Pod

describe_pod(name, namespace)
get_nodes()
get_events(namespace)

Runbook: Node Issues

Node NotReady

describe_node(name)
get_events(namespace="", field_selector="involvedObject.name=<node>")
node_logs_tool(name, "kubelet")

Node DiskPressure

describe_node(name)
get_pods(field_selector="spec.nodeName=<node>")

Runbook: Network Issues

Service Not Accessible

get_services(namespace)
get_endpoints(namespace)
get_pods(namespace, label_selector="<service-selector>")
get_network_policies(namespace)

DNS Resolution Failures

get_pods(namespace="kube-system", label_selector="k8s-app=kube-dns")
get_pod_logs("coredns-xxx", "kube-system")

With Cilium

cilium_status_tool()
cilium_endpoints_list_tool(namespace)
hubble_flows_query_tool(namespace)

With Istio

istio_analyze_tool(namespace)
istio_proxy_status_tool()

Runbook: Storage Issues

PVC Pending

describe_pvc(name, namespace)
get_storage_classes()
get_events(namespace)

Pod Stuck in ContainerCreating

describe_pod(name, namespace)
get_pvc(namespace)
get_events(namespace)

Runbook: Control Plane Issues

API Server Unavailable

get_pods(namespace="kube-system", label_selector="component=kube-apiserver")
get_events(namespace="kube-system")

etcd Issues

get_pods(namespace="kube-system", label_selector="component=etcd")
get_pod_logs("etcd-xxx", "kube-system")

Emergency Actions

Force Delete Pod

delete_pod(name, namespace, grace_period=0, force=True)

Rollback Deployment

rollback_deployment(name, namespace, revision=0)

Helm Rollback

rollback_helm_release(name, namespace, revision=1)

Diagnostic Collection Script

For comprehensive incident diagnostics, see scripts/collect-diagnostics.py.

Multi-Cluster Incident Response

Check all clusters:

for context in ["prod-1", "prod-2", "staging"]:
    get_nodes(context=context)
    get_pods(namespace="kube-system", context=context)
    get_events(namespace="kube-system", context=context)

Post-Incident

Document Timeline

  1. When did the incident start?
  2. What was the impact?
  3. What was the root cause?
  4. What fixed it?

Prevent Recurrence

  • Add monitoring/alerting
  • Improve resource limits
  • Add readiness probes
  • Document runbook

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