k8s-debug — скилл для Claude Code: диагностика Kubernetes

---
name: k8s-debug
description: Diagnose and fix Kubernetes pods, CrashLoopBackOff, Pending, DNS, networking, storage, and rollout failures with kubectl.
---

# Kubernetes Debugging Skill

## Overview

Systematic toolkit for debugging Kubernetes clusters, workloads, networking, and storage with a deterministic, safety-first workflow.

## Trigger Phrases

Use this skill when requests resemble:
- "My pod is in `CrashLoopBackOff`; help me find the root cause."
- "Service DNS works in one pod but not another."
- "Deployment rollout is stuck."
- "Pods are `Pending` and not scheduling."
- "Cluster health looks degraded after a change."
- "PVC is pending and pods cannot mount storage."

## Prerequisites

Run from the skill directory (`devops-skills-plugin/skills/k8s-debug`) so relative script paths work as written.

### Required
- `kubectl` installed and configured.
- An active cluster context.
- Read access to namespaces, pods, events, services, and nodes.

Quick preflight:

```bash
kubectl config current-context
kubectl auth can-i get pods -A
kubectl auth can-i get events -A
kubectl get ns
```

### Optional but Recommended
- `jq` for more precise filtering in `./scripts/cluster_health.sh`.
- Metrics API (`metrics-server`) for `kubectl top`.
- In-container debug tools (`nslookup`, `getent`, `curl`, `wget`, `ip`) for deep network tests.

Fallback behavior:
- If optional tools are missing, scripts continue and print warnings with reduced output.
- If `kubectl top` is unavailable, continue with `kubectl describe` and events.

## When to Use This Skill

Use this skill for:
- Pod failures (CrashLoopBackOff, ImagePullBackOff, Pending, OOMKilled)
- Service connectivity or DNS resolution issues
- Network policy or ingress problems
- Volume and storage mount failures
- Deployment rollout issues
- Cluster health or performance degradation
- Resource exhaustion (CPU/memory)
- Configuration problems (ConfigMaps, Secrets, RBAC)

## Safety Rules for Disruptive Commands

Default mode is read-only diagnosis first. Only execute disruptive commands after confirming blast radius and rollback.

Commands requiring explicit confirmation:
- `kubectl delete pod ... --force --grace-period=0`
- `kubectl drain ...`
- `kubectl rollout restart ...`
- `kubectl rollout undo ...`
- `kubectl debug ... --copy-to=...`

Before disruptive actions:
```bash
# Snapshot current state for rollback and incident notes
kubectl get deploy,rs,pod,svc -n <namespace> -o wide
kubectl get pod <pod-name> -n <namespace> -o yaml > before-<pod-name>.yaml
kubectl get events -n <namespace> --sort-by='.lastTimestamp' > before-events.txt
```

## Reference Navigation Map

Load only the section needed for the observed symptom.

| Symptom / Need | Open | Start section |
| --- | --- | --- |
| You need an end-to-end diagnosis path | `./references/troubleshooting_workflow.md` | `General Debugging Workflow` |
| Pod state is `Pending`, `CrashLoopBackOff`, or `ImagePullBackOff` | `./references/troubleshooting_workflow.md` | `Pod Lifecycle Troubleshooting` |
| Service reachability or DNS failure | `./references/troubleshooting_workflow.md` | `Network Troubleshooting Workflow` |
| Node pressure or performance regression | `./references/troubleshooting_workflow.md` | `Resource and Performance Workflow` |
| PVC / PV / storage class issues | `./references/troubleshooting_workflow.md` | `Storage Troubleshooting Workflow` |
| Quick symptom-to-fix lookup | `./references/common_issues.md` | matching issue heading |
| Post-mortem fix options for known issues | `./references/common_issues.md` | `Solutions` sections |

## Scripts Overview

| Script | Purpose | Required args | Optional args | Output | Fallback behavior |
| --- | --- | --- | --- | --- | --- |
| `./scripts/cluster_health.sh` | Cluster-wide health snapshot (nodes, workloads, events, common failure states) | None | `--strict`, `K8S_REQUEST_TIMEOUT` env var | Sectioned report to stdout | Continues on check failures, tracks them in summary and exit code |
| `./scripts/network_debug.sh` | Pod-centric network and DNS diagnostics | `<pod-name>` (`<namespace>` defaults to `default`) | `--strict`, `--insecure`, `K8S_REQUEST_TIMEOUT` env var | Sectioned report to stdout | Uses secure API probe by default; insecure TLS requires explicit `--insecure` |
| `./scripts/pod_diagnostics.py` | Deep pod diagnostics (status, describe, YAML, events, per-container logs, node context) | `<pod-name>` | `-n/--namespace`, `-o/--output` | Sectioned report to stdout or file | Fails fast on missing access; skips optional metrics/log blocks with clear messages |

### Script Exit Codes

`./scripts/cluster_health.sh` and `./scripts/network_debug.sh` share the same contract:

- `0`: checks completed with no check failures (warnings allowed unless `--strict` is set).
- `1`: one or more checks failed, or warnings occurred in `--strict` mode.
- `2`: blocked preconditions (for example: missing `kubectl`, no active context, inaccessible namespace/pod).

## Deterministic Debugging Workflow

Follow this systematic approach for any Kubernetes issue:

### 1. Preflight and Scope

```bash
kubectl config current-context
kubectl get ns
kubectl auth can-i get pods -n <namespace>
```

If preflight fails, stop and fix access/context first.

### 2. Identify the Problem Layer

Categorize the issue:
- **Application Layer**: Application crashes, errors, bugs
- **Pod Layer**: Pod not starting, restarting, or pending
- **Service Layer**: Network connectivity, DNS issues
- **Node Layer**: Node not ready, resource exhaustion
- **Cluster Layer**: Control plane issues, API problems
- **Storage Layer**: Volume mount failures, PVC issues
- **Configuration Layer**: ConfigMap, Secret, RBAC issues

### 3. Gather Diagnostics with the Right Script

Use the appropriate diagnostic script based on scope:

#### Pod-Level Diagnostics
Use `./scripts/pod_diagnostics.py` for comprehensive pod analysis:

```bash
python3 ./scripts/pod_diagnostics.py <pod-name> -n <namespace>
```

This script gathers:
- Pod status and description
- Pod events
- Container logs (current and previous)
- Resource usage
- Node information
- YAML configuration

Output can be saved for analysis:

```bash
python3 ./scripts/pod_diagnostics.py <pod-name> -n <namespace> -o diagnostics.txt
```

#### Cluster-Level Health Check
Use `./scripts/cluster_health.sh` for overall cluster diagnostics:

```bash
./scripts/cluster_health.sh > cluster-health-$(date +%Y%m%d-%H%M%S).txt
```

This script checks:
- Cluster info and version
- Node status and resources
- Pods across all namespaces
- Failed/pending pods
- Recent events
- Deployments, services, statefulsets, daemonsets
- PVCs and PVs
- Component health
- Common error states (CrashLoopBackOff, ImagePullBackOff)

#### Network Diagnostics
Use `./scripts/network_debug.sh` for connectivity issues:

```bash
./scripts/network_debug.sh <namespace> <pod-name>
# or force warning sensitivity / insecure TLS only when explicitly needed:
./scripts/network_debug.sh --strict <namespace> <pod-name>
./scripts/network_debug.sh --insecure <namespace> <pod-name>
```

This script analyzes:
- Pod network configuration
- DNS setup and resolution
- Service endpoints
- Network policies
- Connectivity tests
- CoreDNS logs

### 4. Follow Issue-Specific Reference Workflow

Based on the identified issue, consult `./references/troubleshooting_workflow.md`:

- **Pod Pending**: Resource/scheduling workflow
- **CrashLoopBackOff**: Application crash workflow
- **ImagePullBackOff**: Image pull workflow
- **Service issues**: Network connectivity workflow
- **DNS failures**: DNS troubleshooting workflow
- **Resource exhaustion**: Performance investigation workflow
- **Storage issues**: PVC binding workflow
- **Deployment stuck**: Rollout workflow

### 5. Apply Targeted Fixes

Refer to `./references/common_issues.md` for symptom-specific fixes.

### 6. Verify and Close

Run final verification:

```bash
kubectl get pods -n <namespace> -o wide
kubectl get events -n <namespace> --sort-by='.lastTimestamp' | tail -20
kubectl rollout status deployment/<name> -n <namespace>
```

Issue is done when user-visible behavior is healthy and no new critical warning events appear.

## Example Flows

### Example 1: CrashLoopBackOff in `payments` Namespace

```bash
python3 ./scripts/pod_diagnostics.py payments-api-7c97f95dfb-q9l7k -n payments -o payments-diagnostics.txt
kubectl logs payments-api-7c97f95dfb-q9l7k -n payments --previous --tail=100
kubectl get deploy payments-api -n payments -o yaml | grep -A 8 livenessProbe
```

Then open `./references/common_issues.md` and apply the `CrashLoopBackOff` solutions.

### Example 2: Service DNS/Connectivity Failure

```bash
./scripts/network_debug.sh checkout checkout-api-75f49c9d8f-z6qtm
kubectl get svc checkout-api -n checkout
kubectl get endpoints checkout-api -n checkout
kubectl get networkpolicies -n checkout
```

Then follow `Service Connectivity Workflow` in `./references/troubleshooting_workflow.md`.

## Essential Manual Commands

### Pod Debugging

```bash
# View pod status
kubectl get pods -n <namespace> -o wide

# Detailed pod information
kubectl describe pod <pod-name> -n <namespace>

# View logs
kubectl logs <pod-name> -n <namespace>
kubectl logs <pod-name> -n <namespace> --previous  # Previous container
kubectl logs <pod-name> -n <namespace> -c <container>  # Specific container

# Execute commands in pod
kubectl exec <pod-name> -n <namespace> -it -- /bin/sh

# Get pod YAML
kubectl get pod <pod-name> -n <namespace> -o yaml
```

### Service and Network Debugging

```bash
# Check services
kubectl get svc -n <namespace>
kubectl describe svc <service-name> -n <namespace>

# Check endpoints
kubectl get endpoints -n <namespace>

# Test DNS
kubectl exec <pod-name> -n <namespace> -- nslookup kubernetes.default

# View events
kubectl get events -n <namespace> --sort-by='.lastTimestamp'
```

### Resource Monitoring

```bash
# Node resources
kubectl top nodes
kubectl describe nodes

# Pod resources
kubectl top pods -n <namespace>
kubectl top pod <pod-name> -n <namespace> --containers
```

### Emergency Operations

```bash
# Restart deployment
kubectl rollout restart deployment/<name> -n <namespace>

# Rollback deployment
kubectl rollout undo deployment/<name> -n <namespace>

# Force delete stuck pod
kubectl delete pod <pod-name> -n <namespace> --force --grace-period=0

# Drain node (maintenance)
kubectl drain <node-name> --ignore-daemonsets --delete-emptydir-data

# Cordon node (prevent scheduling)
kubectl cordon <node-name>
```

## Completion Criteria

Troubleshooting session is complete when all are true:
- [ ] Cluster context and namespace are confirmed.
- [ ] Relevant diagnostic script output is captured.
- [ ] Root cause is identified and tied to evidence (events/logs/config/state).
- [ ] Any disruptive action was preceded by snapshot and rollback plan.
- [ ] Fix verification commands show healthy state.
- [ ] Reference path used (`./references/troubleshooting_workflow.md` or `./references/common_issues.md`) is documented in notes.

## Related Tools

Useful additional tools for Kubernetes debugging:
- **kubectl-debug**: Advanced debugging plugin
- **stern**: Multi-pod log tailing
- **kubectx/kubens**: Context and namespace switching
- **k9s**: Terminal UI for Kubernetes
- **lens**: Desktop IDE for Kubernetes
- **Prometheus/Grafana**: Monitoring and alerting
- **Jaeger/Zipkin**: Distributed tracing