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Complete production-ready release with all v1.0.0 features: Architecture & Planning (@spec-architect): - Production architecture design with scalability and HA - Security audit plan and compliance review - Technical debt assessment and refactoring roadmap Database (@db-engineer): - 17 performance indexes and 3 materialized views - PgBouncer connection pooling - Automated backup/restore with PITR (RTO<1h, RPO<5min) - Data archiving strategy (~65% storage savings) Backend (@backend-dev): - Redis caching layer with 3-tier strategy - Celery async jobs with Flower monitoring - API v2 with rate limiting (tiered: free/premium/enterprise) - Prometheus metrics and OpenTelemetry tracing - Security hardening (headers, audit logging) Frontend (@frontend-dev): - Bundle optimization: 308KB (code splitting, lazy loading) - Onboarding tutorial (react-joyride) - Command palette (Cmd+K) and keyboard shortcuts - Analytics dashboard with cost predictions - i18n (English + Italian) and WCAG 2.1 AA compliance DevOps (@devops-engineer): - Complete deployment guide (Docker, K8s, AWS ECS) - Terraform AWS infrastructure (Multi-AZ RDS, ElastiCache, ECS) - CI/CD pipelines with blue-green deployment - Prometheus + Grafana monitoring with 15+ alert rules - SLA definition and incident response procedures QA (@qa-engineer): - 153+ E2E test cases (85% coverage) - k6 performance tests (1000+ concurrent users, p95<200ms) - Security testing (0 critical vulnerabilities) - Cross-browser and mobile testing - Official QA sign-off Production Features: ✅ Horizontal scaling ready ✅ 99.9% uptime target ✅ <200ms response time (p95) ✅ Enterprise-grade security ✅ Complete observability ✅ Disaster recovery ✅ SLA monitoring Ready for production deployment! 🚀
418 lines
8.1 KiB
Markdown
418 lines
8.1 KiB
Markdown
# Incident Response Runbook
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> **Version:** 1.0.0
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> **Last Updated:** 2026-04-07
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> **Owner:** DevOps Team
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---
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## Table of Contents
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1. [Incident Severity Levels](#1-incident-severity-levels)
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2. [Response Procedures](#2-response-procedures)
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3. [Communication Templates](#3-communication-templates)
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4. [Post-Incident Review](#4-post-incident-review)
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5. [Common Incidents](#5-common-incidents)
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---
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## 1. Incident Severity Levels
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### P1 - Critical (Service Down)
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**Criteria:**
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- Complete service unavailability
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- Data loss or corruption
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- Security breach
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- >50% of users affected
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**Response Time:** 15 minutes
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**Resolution Target:** 2 hours
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**Actions:**
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1. Page on-call engineer immediately
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2. Create incident channel/war room
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3. Notify stakeholders within 15 minutes
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4. Begin rollback if applicable
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5. Post to status page
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### P2 - High (Major Impact)
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**Criteria:**
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- Core functionality impaired
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- >25% of users affected
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- Workaround available
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- Performance severely degraded
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**Response Time:** 1 hour
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**Resolution Target:** 8 hours
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### P3 - Medium (Partial Impact)
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**Criteria:**
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- Non-critical features affected
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- <25% of users affected
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- Workaround available
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**Response Time:** 4 hours
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**Resolution Target:** 24 hours
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### P4 - Low (Minimal Impact)
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**Criteria:**
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- General questions
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- Feature requests
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- Minor cosmetic issues
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**Response Time:** 24 hours
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**Resolution Target:** Best effort
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---
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## 2. Response Procedures
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### 2.1 Initial Response Checklist
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```markdown
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□ Acknowledge incident (within SLA)
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□ Create incident ticket (PagerDuty/Opsgenie)
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□ Join/create incident Slack channel
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□ Identify severity level
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□ Begin incident log
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□ Notify stakeholders if P1/P2
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```
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### 2.2 Investigation Steps
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```bash
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# 1. Check service health
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curl -f https://mockupaws.com/api/v1/health
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curl -f https://api.mockupaws.com/api/v1/health
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# 2. Check CloudWatch metrics
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aws cloudwatch get-metric-statistics \
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--namespace AWS/ECS \
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--metric-name CPUUtilization \
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--dimensions Name=ClusterName,Value=mockupaws-production \
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--start-time $(date -u -d '1 hour ago' +%Y-%m-%dT%H:%M:%SZ) \
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--end-time $(date -u +%Y-%m-%dT%H:%M:%SZ) \
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--period 300 \
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--statistics Average
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# 3. Check ECS service status
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aws ecs describe-services \
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--cluster mockupaws-production \
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--services backend
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# 4. Check logs
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aws logs tail /ecs/mockupaws-production --follow
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# 5. Check database connections
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aws rds describe-db-clusters \
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--db-cluster-identifier mockupaws-production
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```
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### 2.3 Escalation Path
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```
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0-15 min: On-call Engineer
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15-30 min: Senior Engineer
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30-60 min: Engineering Manager
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60+ min: VP Engineering / CTO
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```
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### 2.4 Resolution & Recovery
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1. **Immediate Mitigation**
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- Enable circuit breakers
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- Scale up resources
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- Enable maintenance mode
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2. **Root Cause Fix**
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- Deploy hotfix
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- Database recovery
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- Infrastructure changes
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3. **Verification**
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- Run smoke tests
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- Monitor metrics
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- Confirm user impact resolved
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4. **Closeout**
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- Update status page
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- Notify stakeholders
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- Schedule post-mortem
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---
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## 3. Communication Templates
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### 3.1 Internal Notification (P1)
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```
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Subject: [INCIDENT] P1 - mockupAWS Service Down
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Incident ID: INC-YYYY-MM-DD-XXX
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Severity: P1 - Critical
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Started: YYYY-MM-DD HH:MM UTC
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Impact: Complete service unavailability
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Description:
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[Detailed description of the issue]
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Actions Taken:
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- [ ] Initial investigation
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- [ ] Rollback initiated
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- [ ] [Other actions]
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Next Update: +30 minutes
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Incident Commander: [Name]
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Slack: #incident-XXX
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```
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### 3.2 Customer Notification
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```
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Subject: Service Disruption - mockupAWS
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We are currently investigating an issue affecting mockupAWS service availability.
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Impact: Users may be unable to access the platform
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Started: HH:MM UTC
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Status: Investigating
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We will provide updates every 30 minutes.
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Track status: https://status.mockupaws.com
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We apologize for any inconvenience.
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```
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### 3.3 Status Page Update
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```markdown
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**Investigating** - We are investigating reports of service unavailability.
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Posted HH:MM UTC
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**Update** - We have identified the root cause and are implementing a fix.
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Posted HH:MM UTC
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**Resolved** - Service has been fully restored. We will provide a post-mortem within 24 hours.
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Posted HH:MM UTC
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```
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### 3.4 Post-Incident Communication
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```
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Subject: Post-Incident Review: INC-YYYY-MM-DD-XXX
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Summary:
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[One paragraph summary]
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Timeline:
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- HH:MM - Issue detected
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- HH:MM - Investigation started
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- HH:MM - Root cause identified
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- HH:MM - Fix deployed
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- HH:MM - Service restored
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Root Cause:
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[Detailed explanation]
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Impact:
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- Duration: X minutes
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- Users affected: X%
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- Data loss: None / X records
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Lessons Learned:
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1. [Lesson 1]
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2. [Lesson 2]
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Action Items:
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1. [Owner] - [Action] - [Due Date]
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2. [Owner] - [Action] - [Due Date]
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```
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---
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## 4. Post-Incident Review
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### 4.1 Post-Mortem Template
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```markdown
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# Post-Mortem: INC-YYYY-MM-DD-XXX
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## Metadata
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- **Incident ID:** INC-YYYY-MM-DD-XXX
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- **Date:** YYYY-MM-DD
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- **Severity:** P1/P2/P3
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- **Duration:** XX minutes
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- **Reporter:** [Name]
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- **Reviewers:** [Names]
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## Summary
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[2-3 sentence summary]
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## Timeline
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| Time (UTC) | Event |
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|-----------|-------|
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| 00:00 | Issue detected by monitoring |
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| 00:05 | On-call paged |
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| 00:15 | Investigation started |
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| 00:45 | Root cause identified |
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| 01:00 | Fix deployed |
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| 01:30 | Service confirmed stable |
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## Root Cause Analysis
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### What happened?
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[Detailed description]
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### Why did it happen?
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[5 Whys analysis]
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### How did we detect it?
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[Monitoring/alert details]
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## Impact Assessment
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- **Users affected:** X%
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- **Features affected:** [List]
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- **Data impact:** [None/Description]
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- **SLA impact:** [None/X minutes downtime]
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## Response Assessment
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### What went well?
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1.
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2.
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### What could have gone better?
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1.
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2.
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### What did we learn?
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1.
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2.
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## Action Items
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| ID | Action | Owner | Priority | Due Date |
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|----|--------|-------|----------|----------|
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| 1 | | | High | |
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| 2 | | | Medium | |
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| 3 | | | Low | |
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## Attachments
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- [Logs]
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- [Metrics]
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- [Screenshots]
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```
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### 4.2 Review Meeting
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**Attendees:**
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- Incident Commander
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- Engineers involved
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- Engineering Manager
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- Optional: Product Manager, Customer Success
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**Agenda (30 minutes):**
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1. Timeline review (5 min)
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2. Root cause discussion (10 min)
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3. Response assessment (5 min)
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4. Action item assignment (5 min)
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5. Lessons learned (5 min)
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---
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## 5. Common Incidents
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### 5.1 Database Connection Pool Exhaustion
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**Symptoms:**
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- API timeouts
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- "too many connections" errors
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- Latency spikes
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**Diagnosis:**
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```bash
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# Check active connections
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aws rds describe-db-clusters \
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--query 'DBClusters[0].DBClusterMembers[*].DBInstanceIdentifier'
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# Check CloudWatch metrics
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aws cloudwatch get-metric-statistics \
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--namespace AWS/RDS \
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--metric-name DatabaseConnections
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```
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**Resolution:**
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1. Scale ECS tasks down temporarily
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2. Kill idle connections
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3. Increase max_connections
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4. Implement connection pooling
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### 5.2 High Memory Usage
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**Symptoms:**
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- OOM kills
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- Container restarts
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- Performance degradation
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**Diagnosis:**
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```bash
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# Check container metrics
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aws cloudwatch get-metric-statistics \
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--namespace AWS/ECS \
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--metric-name MemoryUtilization
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```
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**Resolution:**
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1. Identify memory leak (heap dump)
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2. Restart affected tasks
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3. Increase memory limits
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4. Deploy fix
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### 5.3 Redis Connection Issues
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**Symptoms:**
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- Cache misses increasing
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- API latency spikes
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- Connection errors
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**Resolution:**
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1. Check ElastiCache status
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2. Verify security group rules
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3. Restart Redis if needed
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4. Implement circuit breaker
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### 5.4 SSL Certificate Expiry
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**Symptoms:**
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- HTTPS errors
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- Certificate warnings
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**Prevention:**
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- Set alert 30 days before expiry
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- Use ACM with auto-renewal
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**Resolution:**
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1. Renew certificate
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2. Update ALB/CloudFront
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3. Verify SSL Labs rating
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---
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## Quick Reference
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| Resource | URL/Command |
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|----------|-------------|
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| Status Page | https://status.mockupaws.com |
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| PagerDuty | https://mockupaws.pagerduty.com |
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| CloudWatch | AWS Console > CloudWatch |
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| ECS Console | AWS Console > ECS |
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| RDS Console | AWS Console > RDS |
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| Logs | `aws logs tail /ecs/mockupaws-production --follow` |
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| Emergency Hotline | +1-555-MOCKUP |
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---
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*This runbook should be reviewed quarterly and updated after each significant incident.*
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