# Quick health checks
curl -s https://api.example.com/health | jq .
kubectl get pods -n production | grep -v Running

# Check recent deployments
git log --oneline -5
kubectl rollout history deployment/app

# Error rates
grep -c "ERROR" /var/log/app.log

2. Mitigate First

Priority: Stop the bleeding before finding root cause

# Rollback deployment
kubectl rollout undo deployment/app

# Scale up if overloaded
kubectl scale deployment/app --replicas=10

# Feature flag disable
curl -X POST api.example.com/admin/flags -d '{"feature": false}'

# Circuit breaker
# Block problematic endpoint or dependency

3. Investigate

# Recent logs
kubectl logs -l app=myapp --since=30m | grep -i error

# Resource usage
kubectl top pods -n production

# Database connections
SELECT count(*) FROM pg_stat_activity WHERE state = 'active';

# Network issues
curl -w "@curl-format.txt" -o /dev/null -s https://api.example.com

Severity Levels

Level	Impact	Response Time	Example
P1	Complete outage	Immediate	Site down
P2	Major feature broken	15 min	Payments failing
P3	Minor feature broken	1 hour	Search slow
P4	Low impact	Next day	UI glitch

Communication Template

## Incident Update

**Status:** Investigating | Identified | Mitigated | Resolved
**Severity:** P1/P2/P3
**Started:** YYYY-MM-DD HH:MM UTC
**Duration:** X hours

### Summary

[1-2 sentences on what's happening]

### Impact

[Who is affected and how]

### Current Actions

- [Action 1]
- [Action 2]

### Next Update

[Time of next update]

Post-Mortem Template

## Incident Post-Mortem

**Date:** YYYY-MM-DD
**Duration:** X hours
**Severity:** P1

### Summary

[What happened in 2-3 sentences]

### Timeline

- HH:MM - [Event]
- HH:MM - [Event]

### Root Cause

[Technical explanation]

### Impact

- Users affected: X
- Revenue impact: $Y
- Data loss: None/Describe

### Action Items

| Action                  | Owner | Due Date   |
| ----------------------- | ----- | ---------- |
| Add monitoring for X    | @name | YYYY-MM-DD |
| Improve circuit breaker | @name | YYYY-MM-DD |

### Lessons Learned

- [What we learned]

Examples

Input: "API is returning 500 errors" Action: Check logs, identify failing component, rollback if recent deploy, fix

Input: "Database is overloaded" Action: Kill long queries, scale read replicas, optimize or cache hot queries

incident

Incident Response

When to Use

Incident Workflow

1. Detect & Triage