Operational Runbooks

Operational Runbooks

Current Level: Expert (Enterprise Scale) Domain: Documentation / Operations

Overview

Runbooks provide step-by-step procedures for operating and troubleshooting systems. Effective runbooks enable teams to handle incidents, perform maintenance, and operate systems consistently with clear, actionable instructions.

1. Executive Summary & Strategic Necessity

• Context: ในปี 2025-2026 Operational Runbooks ด้วย Best Practices ช่วย Operations ที่มีอัตโนมาติการทำงานอัตโนมาติ (Operational Excellence) ใน Enterprise Scale

• Business Impact: Operational Runbooks ช่วยลด Downtime ของระบบ Operations ผ่านการตอบคำถามอัตโนมาติการเขียนเอกสาร (Reduce MTTR), ลดต้นทุนการจัดการทีม (Increase operational efficiency), เพิ่มอัตรากำไร Gross Margin ผ่านการทำงานอัตโนมาติ (Faster incident resolution), และปรับประสบทการทำงาน (Consistent operations)

• Product Thinking: Operational Runbooks ช่วยแก้ปัญหา (Pain Point) ความต้องการมีการเขียนเอกสารที่ชัดเจน (Teams need clear operational procedures) ผ่านการทำงานอัตโนมาติ (Standardized procedures)

2. Technical Deep Dive (The "How-to")

• Core Logic: Operational Runbooks ใช้ Best Practices ช่วย Operations ทำงานอัตโนมาติ:

  1. Runbook Structure: กำหนด Runbook Structure (Service Overview, Architecture, Deployment, Monitoring, Alerts, Troubleshooting, Emergency Procedures, Maintenance, Tools and Access, Contacts)
  2. Runbook Templates: สร้าง Runbook Templates สำหรับการเขียน runbooks (Basic template, Advanced template)
  3. Runbook Testing: จัดการ Runbook Testing (Accuracy testing, Completeness testing, Usability testing, Emergency testing)
  4. Runbook Maintenance: สร้าง Runbook Maintenance สำหรับการดูแล runbooks (Regular updates, Quarterly reviews, Testing procedures)
  5. Agent-Friendly Runbooks: สร้าง Agent-Friendly Runbooks สำหรับ AI Agents (Clear steps, Verification criteria, Troubleshooting procedures)

• Architecture Diagram Requirements: แผนผังระบบ Operational Runbooks ต้องมีองค์ประกอบ:

  1. Runbook Repository: Runbook Repository สำหรับการจัดเก็บ runbooks (Git repository, Documentation platform)
  2. Runbook Templates: Runbook Templates สำหรับการเขียน runbooks (Basic template, Advanced template)
  3. Runbook Testing Framework: Runbook Testing Framework สำหรับการทดสอบ runbooks (Accuracy testing, Completeness testing, Usability testing)
  4. Runbook Maintenance System: Runbook Maintenance System สำหรับการดูแล runbooks (Version control, Review process, Update notifications)
  5. Runbook Search: Runbook Search สำหรับการค้นหา runbooks (Full-text search, Tag-based search, Category-based search)
  6. Runbook Analytics: Runbook Analytics สำหรับการวิเคราะห์ runbook usage (Usage metrics, Search analytics, Feedback collection)
  7. Observability: Logging, Monitoring, Tracing สำหรับการ debug และปรับสิทท

• Implementation Workflow: ขั้นตอนการนำ Operational Runbooks ไปใช้งานจริง:

  1. Planning Phase: กำหนด Requirement และเลือก Runbook Platform ที่เหมาะสม
  2. Runbook Repository Setup: ตั้งค่า Runbook Repository สำหรับการจัดเก็บ runbooks
  3. Runbook Templates Creation: สร้าง Runbook Templates สำหรับการเขียน runbooks
  4. Runbook Testing Framework Setup: ตั้งค่า Runbook Testing Framework สำหรับการทดสอบ runbooks
  5. Runbook Maintenance System Setup: ตั้งค่า Runbook Maintenance System สำหรับการดูแล runbooks
  6. Testing Phase: Unit test, Integration test, E2E test ด้วยจริง Scenario
  7. Deployment: Deploy ด้วย CI/CD pipeline, Set up Monitoring
  8. Optimization: Optimize runbook search, Add runbook templates, Improve UX
  9. Maintenance: Monitor runbook usage, Update runbook content, Handle edge cases

3. Tooling & Tech Stack

• Enterprise Tools: เครื่องมือระดับอุตสาหกรรมที่เลือกใช้สำหรับ Operational Runbooks ใน Enterprise Scale:

  1. Git: Version control system สำหรับ runbook versioning
  2. GitHub/GitLab: Git hosting platforms สำหรับ runbook collaboration
  3. Confluence: Documentation platform สำหรับ runbook storage
  4. Notion: Documentation platform สำหรับ runbook storage
  5. GitBook: Documentation platform สำหรับ runbook storage
  6. Algolia: Search platform สำหรับ runbook search
  7. Elasticsearch: Search platform สำหรับ runbook search
  8. Grafana: Monitoring platform สำหรับ runbook analytics
  9. Prometheus: Metrics platform สำหรับ runbook analytics
  10. PagerDuty: Incident management platform สำหรับ runbook integration

• Configuration Essentials: การตั้งค่าสำคัญสำหรับให้ระบบเสถียร Operational Runbooks:

  1. Runbook Templates: ตั้งค่า Runbook Templates (Basic template, Advanced template)
  2. Runbook Testing: ตั้งค่า Runbook Testing (Accuracy testing, Completeness testing, Usability testing)
  3. Runbook Maintenance: ตั้งค่า Runbook Maintenance (Version control, Review process, Update notifications)
  4. Runbook Search: ตั้งค่า Runbook Search (Full-text search, Tag-based search, Category-based search)
  5. Monitoring: ตั้งค่า Monitoring สำหรับ tracking runbook usage (Usage metrics, Search analytics, Feedback collection)
  6. Secret Management: Use Environment variables หรือ Secret Manager (AWS Secrets Manager, HashiCorp Vault)
  7. Rate Limiting: Per-user และ Per-IP rate limits สำหรับป้องกัน Abuse (100-1000 requests/hour)
  8. Logging Level: INFO สำหรับ Production, DEBUG สำหรับ Development
  9. Observability: Track success rate, runbook usage, search accuracy ต่อเป้าหลาย
  10. Documentation: Maintain Runbook Platform documentation สำหรับ team reference

4. Standards, Compliance & Security

• International Standards: มาตรฐานที่เกี่ยวข้อง:

  1. ISO/IEC 27001: Information Security Management - สำหรับการจัดการ Secrets และ Access Control
  2. ISO/IEC 27017: Code of Practice for Information Security Controls - สำหรับ Secure Operations
  3. ISO/IEC 22301: Business Continuity Management - สำหรับ Disaster Recovery
  4. GDPR: General Data Protection Regulation - สำหรับการจัดการ Personal Data และ User Consent
  5. SOC 2 Type II: Security Controls - สำหรับการ Audit และ Compliance

• Security Protocol: กลไกการป้องกัน Operational Runbooks:

  1. Input Validation: Validate และ Sanitize ทุก Input ก่อน processing (Prevent XSS, SQL injection)
  2. Output Sanitization: Filter sensitive information จาก runbooks (API keys, Secrets, Passwords)
  3. Access Control: RBAC (Role-Based Access Control) สำหรับ runbook access - บาง runbooks internal only
  4. Audit Trail: Log ทุก runbook access ด้วย Timestamp, User ID, และ Runbook accessed (สำหรับ Forensics และ Compliance)
  5. Rate Limiting: Per-user และ Per-IP rate limits สำหรับป้องกัน Abuse (100-1000 requests/hour)
  6. Secure Communication: TLS 1.3 สำหรับ HTTPS access
  7. Secret Management: Use Environment variables หรือ Secret Manager (AWS Secrets Manager, HashiCorp Vault)
  8. Content Security: CSP headers สำหรับ preventing XSS attacks
  9. Authentication: Implement authentication สำหรับ internal runbooks (SSO, OAuth)
  10. Data Encryption: Encrypt sensitive data ที่ rest ใน Database (AES-256 หรือ Customer-managed keys)

• Explainability: (สำหรับ Runbooks) ความสามารถในการอธิบายผลลัพธ์ผ่านเทคนิค:

  1. Clear Structure: เก็บ runbook structure สำหรับ easy understanding
  2. Detailed Steps: Provide detailed steps สำหรับ complex procedures
  3. Verification Criteria: Include verification criteria สำหรับ each step
  4. Troubleshooting Procedures: Provide troubleshooting procedures สำหรับ common issues
  5. Reference Links: Link to external documentation สำหรับ complex topics

5. Unit Economics & Performance Metrics (KPIs)

• Cost Calculation: สูตรการคำนวณต้นทุกต่อหน่วย Operational Runbooks:

  1. Platform Cost = Platform subscription × Cost per user/month
     • Confluence: $5-15/user/month
     • Notion: $8-15/user/month
     • GitBook: $8-20/user/month
  2. Storage Cost = Runbook storage × Cost per GB/month
     • GitHub Pages: Free
     • GitLab Pages: Free
     • S3: $0.023/GB/month
  3. Search Cost = Search API calls × Cost per 1000 calls
     • Algolia: $1-5/1000 calls
     • Elasticsearch: $0-100/month (self-hosted)
  4. Monitoring Cost = Monitoring platform subscription × Cost per month
     • Grafana Cloud: $50-500/month
     • Datadog: $15-23/host/month
  5. Total Monthly Cost = Platform Cost + Storage Cost + Search Cost + Monitoring Cost
  6. Infrastructure Costs = Compute ($0/month for static sites) + Storage ($0/month for static sites) + Monitoring ($50-500/month)

• Key Performance Indicators: ตัวชี้วัดความสำเร็จทางเทคนิค:

  1. Runbook Coverage: เปอร์เซ็นต์ของ services ที่มี runbooks (Target: >80%)
  2. Runbook Quality Score: คะแนน runbook quality จาก automated checks (Target: >4.0)
  3. Runbook Accuracy: เปอร์เซ็นต์ของ runbooks ที่มี accurate procedures (Target: >95%)
  4. Runbook Completeness: เปอร์เซ็นต์ของ runbooks ที่มี complete procedures (Target: >90%)
  5. Operator Satisfaction Score: 1-5 rating จาก Operator feedback (Target: >4.0)
  6. Error Rate: อัตราการ Error (Target: <1%)
  7. MTTR: Mean Time To Resolution (Target: <30 minutes)
  8. Runbook Usage: เปอร์เซ็นต์ของ operators ที่ใช้ runbooks (Target: >80%)
  9. Search Accuracy: เปอร์เซ็นต์ของ search results ที่ relevant (Target: >90%)
  10. Knowledge Transfer: เปอร์เซ็นต์ของ knowledge transfer (Target: >80%)

6. Strategic Recommendations (CTO Insights)

• Phase Rollout: คำแนะนำในการทยอยเริ่มใช้งาน Operational Runbooks เพื่อลดความเสี่ยง:

  1. Phase 1: MVP (1-2 เดือน): Deploy Simple Operational Runbooks ด้วย Basic Templates และ Manual review สำหรับ Internal team ก่อนเปิดให้ Public
     • Goal: Validate Operational Runbooks architecture และ gather feedback
     • Success Criteria: >80% runbook coverage, <30s search time
     • Risk Mitigation: Internal-only access, Manual review ก่อน Public
  2. Phase 2: Beta (2-3 เดือน): Expand ด้วย Advanced Templates และ Runbook Testing Framework สำหรับ Selected customers
     • Goal: Test scalability และ Runbook reliability
     • Success Criteria: >90% runbook coverage, <15s search time
     • Risk Mitigation: Canary deployment, Feature flags, Gradual rollout
  3. Phase 3: GA (3-6 เดือน): Full rollout ด้วย Advanced features (Runbook Search, Runbook Analytics, Agent-Friendly Runbooks)
     • Goal: Enterprise-grade runbook quality และ Performance
     • Success Criteria: >95% runbook coverage, <10s search time, 99.9% uptime
     • Risk Mitigation: Load testing, Disaster recovery, Blue-green deployment

• Pitfalls to Avoid: ข้อควรระวังที่มักจะผิดพลาดในระดับ Enterprise Scale:

  1. Over-engineering: สร้าง Operational Runbooks ที่ซ้อนเกินไป (Too many sections, Complex templates) → เริ่มจาก Simple และ iterate
  2. No Runbook Templates: ไม่มี Runbook Templates ทำให้ consistency ลด → Implement Runbook Templates สำหรับ common patterns
  3. Outdated Runbooks: Runbooks ไม่ sync กับ systems → Implement automated runbook quality checks
  4. Missing Runbook Testing: ไม่มี Runbook Testing ทำให้ runbooks ไม่ reliable → Implement Runbook Testing Framework
  5. No Runbook Maintenance: ไม่มี Runbook Maintenance ทำให้ runbooks outdated → Implement Runbook Maintenance System
  6. No Agent-Friendly Runbooks: ไม่มี Agent-Friendly Runbooks ทำให้ AI Agents สับสนใจ → Implement Agent-Friendly runbook guidelines
  7. Poor Search: Search ไม่ดีทำให้ operators หา runbooks ไม่ได้ → Implement advanced search (Algolia, Elasticsearch)
  8. No Runbook Analytics: ไม่มี Runbook Analytics ทำให้ไม่รู้ runbook usage → Implement runbook analytics
  9. No Runbook Documentation: ไม่มี Runbook Documentation ทำให้ team reference → Maintain Runbook Platform documentation
  10. Single Point of Failure: ไม่มี Redundancy หรือ Fallback → Deploy multiple instances ด้วย CDN

Core Concepts

1. Runbook Purpose

Why Runbooks Matter

# Runbook Purpose

## Benefits

### 1. Operational Excellence
- Standardized procedures
- Consistent operations
- Reduced errors
- Improved reliability

### 2. Knowledge Management
- Preserves institutional knowledge
- Onboards new team members
- Reduces dependency on individuals
- Enables knowledge sharing

### 3. Incident Response
- Faster resolution
- Reduced MTTR (Mean Time To Resolution)
- Clear communication
- Better coordination

### 4. Compliance and Auditing
- Documented procedures
- Audit trails
- Regulatory compliance
- Process improvement

## Consequences of Poor Runbooks

### 1. Operational Issues
- Inconsistent procedures
- Human errors
- Longer resolution times
- Increased downtime

### 2. Knowledge Loss
- When team members leave
- Over time
- During incidents
- Under pressure

### 3. Increased Costs
- More incidents
- Longer resolution times
- Higher support costs
- Lost revenue

### 4. Team Stress
- Uncertainty during incidents
- Lack of confidence
- Burnout
- Turnover

2. Runbook Structure

Standard Runbook Structure

# [Service Name] Runbook

## Service Overview
- Service description
- Purpose and scope
- Criticality level
- Dependencies

## Architecture
- System architecture
- Components and their roles
- Data flow
- Integration points

## Deployment
- Deployment process
- Deployment environments
- Rollback procedures
- Deployment verification

## Monitoring
- Key metrics
- Alert thresholds
- Monitoring dashboards
- Log sources

## Alerts
- Alert definitions
- Severity levels
- Notification channels
- Escalation paths

## Troubleshooting
- Common issues
- Diagnostic steps
- Resolution procedures
- Known workarounds

## Emergency Procedures
- Critical incidents
- Emergency contacts
- Escalation procedures
- Communication templates

## Maintenance
- Maintenance procedures
- Backup and restore
- Health checks
- Performance tuning

## Tools and Access
- Required tools
- Access requirements
- Command references
- Useful scripts

## Contacts
- On-call rotation
- Subject matter experts
- Escalation contacts
- Support channels

3. Service Overview

Service Overview Template

# Service Overview

## Service Name
[Service Name]

## Description
[Brief description of what the service does and its purpose]

## Criticality
- **Level**: [Critical | High | Medium | Low]
- **SLA**: [Service Level Agreement details]
- **RTO**: [Recovery Time Objective]
- **RPO**: [Recovery Point Objective]

## Purpose and Scope
- **Primary Purpose**: [Main function]
- **Key Features**: [List of key features]
- **Target Users**: [Who uses this service]
- **Service Boundaries**: [What's in scope and what's not]

## Dependencies

### Upstream Dependencies
- [Dependency 1] - [Purpose]
- [Dependency 2] - [Purpose]
- [Dependency 3] - [Purpose]

### Downstream Dependencies
- [Dependency 1] - [Purpose]
- [Dependency 2] - [Purpose]
- [Dependency 3] - [Purpose]

## Technology Stack
- **Language**: [Programming language]
- **Framework**: [Framework name]
- **Database**: [Database type and version]
- **Infrastructure**: [Cloud provider, hosting]
- **Other**: [Other relevant technologies]

## Key Metrics
- **Throughput**: [Requests per second]
- **Latency**: [P50, P95, P99]
- **Error Rate**: [Target error rate]
- **Availability**: [Target uptime percentage]

## Known Limitations
- [Limitation 1]
- [Limitation 2]
- [Limitation 3]

4. Architecture

Architecture Documentation

# Architecture

## System Architecture

### High-Level Architecture
```mermaid
graph TB
    subgraph "Service"
        Component1[Component 1]
        Component2[Component 2]
        Component3[Component 3]
    end
    
    subgraph "Data Layer"
        DB[(Database)]
        Cache[(Cache)]
    end
    
    subgraph "External"
        API[External API]
        Queue[Message Queue]
    end
    
    Component1 --> Component2
    Component2 --> Component3
    Component2 --> DB
    Component3 --> Cache
    Component1 --> API
    Component3 --> Queue

Components

Component 1: [Component Name]

• Purpose: [What it does]
• Technology: [Technology stack]
• Dependencies: [What it depends on]
• Interfaces: [APIs, protocols]
• Scaling: [Horizontal/Vertical, limits]

Component 2: [Component Name]

• Purpose: [What it does]
• Technology: [Technology stack]
• Dependencies: [What it depends on]
• Interfaces: [APIs, protocols]
• Scaling: [Horizontal/Vertical, limits]

Component 3: [Component Name]

• Purpose: [What it does]
• Technology: [Technology stack]
• Dependencies: [What it depends on]
• Interfaces: [APIs, protocols]
• Scaling: [Horizontal/Vertical, limits]

Data Flow

Request Flow

1. Client → Load Balancer
2. Load Balancer → API Gateway
3. API Gateway → Service
4. Service → Database
5. Database → Service
6. Service → Client

Data Flow Diagram

sequenceDiagram
    participant Client
    participant LB
    participant API
    participant DB
    
    Client->>LB: Request
    LB->>API: Forward Request
    API->>DB: Query
    DB-->>API: Data
    API-->>LB: Response
    LB-->>Client: Response

Integration Points

External Integrations

• [Integration 1]: [Description, API docs link]
• [Integration 2]: [Description, API docs link]
• [Integration 3]: [Description, API docs link]

Internal Integrations

• [Integration 1]: [Description, API docs link]
• [Integration 2]: [Description, API docs link]
• [Integration 3]: [Description, API docs link]

---

## 5. Deployment

### Deployment Procedures

```markdown
# Deployment

## Deployment Process

### Prerequisites
- [ ] Access to deployment environment
- [ ] Valid deployment credentials
- [ ] Deployment tools installed
- [ ] Database migrations prepared
- [ ] Feature flags configured
- [ ] Monitoring configured

### Deployment Steps

#### 1. Pre-Deployment Checks
```bash
# Run health checks
curl https://api.example.com/health

# Check database connectivity
./scripts/check-db.sh

# Verify configuration
./scripts/verify-config.sh

2. Build and Test

# Build application
npm run build

# Run tests
npm test

# Run integration tests
npm run test:integration

3. Deploy

# Deploy to staging
./scripts/deploy.sh staging

# Verify staging deployment
./scripts/verify.sh staging

# Deploy to production
./scripts/deploy.sh production

4. Post-Deployment Verification

# Run smoke tests
./scripts/smoke-tests.sh

# Check metrics
./scripts/check-metrics.sh

# Verify logs
./scripts/check-logs.sh

Rollback Procedures

When to Rollback

• Deployment fails
• Critical errors detected
• Performance degradation
• Data corruption

Rollback Steps

# Stop current deployment
./scripts/stop.sh

# Rollback to previous version
./scripts/rollback.sh

# Verify rollback
./scripts/verify.sh

# Start services
./scripts/start.sh

Deployment Environments

Development

• URL: https://dev.example.com
• Database: dev-db.example.com
• Purpose: Development and testing
• Data: Test data, can be reset

Staging

• URL: https://staging.example.com
• Database: staging-db.example.com
• Purpose: Pre-production testing
• Data: Production-like data

Production

• URL: https://example.com
• Database: prod-db.example.com
• Purpose: Live production
• Data: Real user data

Deployment Verification

Health Check Endpoint

# Health check
curl https://api.example.com/health

# Expected response
{
  "status": "healthy",
  "version": "1.0.0",
  "timestamp": "2024-01-15T10:00:00Z"
}

Smoke Tests

# Run smoke tests
npm run smoke-tests

# Expected output
✓ API is responding
✓ Database is accessible
✓ Cache is working
✓ External integrations are functional

---

## 6. Monitoring

### Monitoring Setup

```markdown
# Monitoring

## Key Metrics

### Application Metrics
- **Request Rate**: Requests per second
- **Response Time**: P50, P95, P99 latency
- **Error Rate**: Percentage of failed requests
- **Throughput**: Requests handled per second

### System Metrics
- **CPU Usage**: Percentage of CPU utilization
- **Memory Usage**: Percentage of memory utilization
- **Disk Usage**: Percentage of disk utilization
- **Network I/O**: Network traffic in/out

### Business Metrics
- **Active Users**: Number of active users
- **Transaction Volume**: Number of transactions
- **Conversion Rate**: Percentage of conversions
- **Revenue**: Revenue generated

## Alert Thresholds

### Warning Thresholds
- CPU > 70%
- Memory > 80%
- Error rate > 1%
- Response time P95 > 500ms

### Critical Thresholds
- CPU > 90%
- Memory > 95%
- Error rate > 5%
- Response time P95 > 2000ms

## Monitoring Dashboards

### Main Dashboard
- **URL**: https://grafana.example.com/d/main
- **Metrics**: All key metrics
- **Refresh**: 30 seconds

### Error Dashboard
- **URL**: https://grafana.example.com/d/errors
- **Metrics**: Error rates, error types
- **Refresh**: 10 seconds

### Performance Dashboard
- **URL**: https://grafana.example.com/d/performance
- **Metrics**: Response times, throughput
- **Refresh**: 30 seconds

## Log Sources

### Application Logs
- **Location**: /var/log/app/
- **Format**: JSON
- **Retention**: 30 days
- **Access**: SSH to server

### Access Logs
- **Location**: /var/log/nginx/access.log
- **Format**: Combined
- **Retention**: 90 days
- **Access**: SSH to server

### Error Logs
- **Location**: /var/log/app/error.log
- **Format**: JSON
- **Retention**: 90 days
- **Access**: SSH to server

## Monitoring Tools

### Application Monitoring
- **Tool**: [APM tool name]
- **URL**: [Dashboard URL]
- **Access**: [Access requirements]

### Infrastructure Monitoring
- **Tool**: [Infrastructure tool name]
- **URL**: [Dashboard URL]
- **Access**: [Access requirements]

### Log Aggregation
- **Tool**: [Log aggregation tool name]
- **URL**: [Dashboard URL]
- **Access**: [Access requirements]

7. Alerts

Alert Configuration

# Alerts

## Alert Definitions

### Alert 1: High CPU Usage
- **Name**: High CPU Usage
- **Condition**: CPU > 90% for 5 minutes
- **Severity**: Critical
- **Notification**: PagerDuty, Slack
- **Escalation**: 15 minutes

### Alert 2: High Error Rate
- **Name**: High Error Rate
- **Condition**: Error rate > 5% for 5 minutes
- **Severity**: Critical
- **Notification**: PagerDuty, Slack
- **Escalation**: 10 minutes

### Alert 3: High Memory Usage
- **Name**: High Memory Usage
- **Condition**: Memory > 95% for 5 minutes
- **Severity**: Warning
- **Notification**: Slack
- **Escalation**: 30 minutes

### Alert 4: Slow Response Time
- **Name**: Slow Response Time
- **Condition**: P95 > 2000ms for 5 minutes
- **Severity**: Warning
- **Notification**: Slack
- **Escalation**: 30 minutes

## Severity Levels

### Critical
- **Definition**: Service is down or severely degraded
- **Response Time**: < 15 minutes
- **Notification**: PagerDuty, Slack, Email
- **Escalation**: 15 minutes

### High
- **Definition**: Service is degraded but functional
- **Response Time**: < 30 minutes
- **Notification**: Slack, Email
- **Escalation**: 30 minutes

### Medium
- **Definition**: Potential issue detected
- **Response Time**: < 1 hour
- **Notification**: Slack
- **Escalation**: 1 hour

### Low
- **Definition**: Informational alert
- **Response Time**: < 4 hours
- **Notification**: Email
- **Escalation**: None

## Notification Channels

### PagerDuty
- **Service**: [Service name]
- **Escalation Policy**: [Policy name]
- **On-Call Schedule**: [Schedule name]

### Slack
- **Channel**: #alerts-[service-name]
- **Webhook**: [Webhook URL]

### Email
- **Recipients**: [Email list]
- **Subject**: [Alert prefix]

## Escalation Paths

### Level 1: On-Call Engineer
- **Response Time**: 15 minutes
- **Contact**: [Contact method]
- **Capabilities**: Full access

### Level 2: Team Lead
- **Response Time**: 30 minutes
- **Contact**: [Contact method]
- **Capabilities**: Full access

### Level 3: Engineering Manager
- **Response Time**: 1 hour
- **Contact**: [Contact method]
- **Capabilities**: Full access

### Level 4: VP of Engineering
- **Response Time**: 2 hours
- **Contact**: [Contact method]
- **Capabilities**: Full access

8. Troubleshooting

Troubleshooting Procedures

# Troubleshooting

## Common Issues

### Issue 1: Service Not Responding

**Symptoms**
- 503 Service Unavailable errors
- Connection timeouts
- Health check failing

**Diagnostic Steps**
```bash
# Check if service is running
systemctl status [service-name]

# Check logs
tail -f /var/log/app/error.log

# Check CPU and memory
top

# Check network connectivity
ping [service-hostname]

Resolution Steps

# Restart service
systemctl restart [service-name]

# Verify service is running
systemctl status [service-name]

# Check health endpoint
curl https://api.example.com/health

If Issue Persists

1. Check recent deployments
2. Review recent code changes
3. Check database connectivity
4. Check external dependencies
5. Escalate to team lead

Issue 2: High Error Rate

Symptoms

• Increased error rate in monitoring
• User complaints
• Error logs increasing

Diagnostic Steps

# Check error logs
tail -f /var/log/app/error.log

# Check error rate in monitoring
# Visit monitoring dashboard

# Check recent deployments
git log --oneline -10

# Check database status
./scripts/check-db.sh

Resolution Steps

# If recent deployment, rollback
./scripts/rollback.sh

# If database issue, restart database
systemctl restart postgresql

# If external dependency issue, check status
curl https://external-api.com/health

If Issue Persists

1. Check external dependencies
2. Review recent code changes
3. Check for configuration changes
4. Escalate to team lead

Issue 3: Slow Response Time

Symptoms

• Increased response times
• User complaints
• Performance degradation

Diagnostic Steps

# Check CPU and memory
top

# Check database queries
./scripts/check-db-queries.sh

# Check network latency
ping [database-hostname]

# Check disk I/O
iostat -x 1

Resolution Steps

# Restart service
systemctl restart [service-name]

# Clear cache
./scripts/clear-cache.sh

# If database issue, optimize queries
./scripts/optimize-db.sh

If Issue Persists

1. Check for resource contention
2. Review recent code changes
3. Check for external factors
4. Escalate to team lead

Issue 4: Database Connection Issues

Symptoms

• Database connection errors
• Slow queries
• Timeouts

Diagnostic Steps

# Check database status
systemctl status postgresql

# Check database logs
tail -f /var/log/postgresql/postgresql.log

# Check database connections
psql -c "SELECT count(*) FROM pg_stat_activity;"

# Test database connectivity
psql -h [hostname] -U [username] -d [database]

Resolution Steps

# Restart database
systemctl restart postgresql

# Check connection pool
./scripts/check-connection-pool.sh

# If connection limit reached, increase max_connections

If Issue Persists

1. Check database configuration
2. Review recent schema changes
3. Check for long-running queries
4. Escalate to DBA

---

## 9. Emergency Procedures

### Emergency Response

```markdown
# Emergency Procedures

## Critical Incident Response

### Step 1: Acknowledge Alert
- [ ] Acknowledge in monitoring system
- [ ] Update incident status
- [ ] Notify team

### Step 2: Assess Impact
- [ ] Determine scope of issue
- [ ] Identify affected users
- [ ] Estimate business impact

### Step 3: Initial Mitigation
- [ ] Implement quick fix if possible
- [ ] Disable affected features
- [ ] Route traffic to healthy instances

### Step 4: Root Cause Analysis
- [ ] Review logs
- [ ] Check metrics
- [ ] Identify root cause

### Step 5: Permanent Fix
- [ ] Implement fix
- [ ] Test fix
- [ ] Deploy fix

### Step 6: Verification
- [ ] Verify issue is resolved
- [ ] Monitor for recurrence
- [ ] Document incident

## Emergency Contacts

### On-Call Engineer
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

### Team Lead
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

### Engineering Manager
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

### VP of Engineering
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

## Communication Templates

### Incident Announcement

🚨 INCIDENT ANNOUNCEMENT 🚨

Service: [Service Name] Severity: [Critical/High/Medium/Low] Status: [Investigating/Identified/Monitoring/Resolved] Started: [Timestamp]

Description: [Brief description of the issue]

Impact: [Description of impact]

Next Update: [Time]

### Incident Update

📊 INCIDENT UPDATE 📊

Service: [Service Name] Status: [Investigating/Identified/Monitoring/Resolved]

Update: [Description of update]

Next Update: [Time]

### Incident Resolution

✅ INCIDENT RESOLVED ✅

Service: [Service Name] Duration: [Duration] Root Cause: [Root cause] Resolution: [Resolution applied]

Post-Incident Review: [Date and time of post-incident review]

## Escalation Procedures

### When to Escalate
- Issue not resolved in [X] minutes
- Severity level increases
- Multiple services affected
- Business impact critical

### Escalation Process
1. Notify next level in escalation path
2. Provide incident summary
3. Hand off incident ownership
4. Update incident status

10. Disaster Recovery

Disaster Recovery Plan

# Disaster Recovery

## Recovery Objectives

### Recovery Time Objective (RTO)
- **Critical Services**: 4 hours
- **Important Services**: 8 hours
- **Non-Critical Services**: 24 hours

### Recovery Point Objective (RPO)
- **Critical Services**: 15 minutes
- **Important Services**: 1 hour
- **Non-Critical Services**: 24 hours

## Backup Strategy

### Database Backups
- **Frequency**: Every 15 minutes
- **Retention**: 30 days
- **Location**: [Backup location]
- **Type**: Incremental + Full daily

### Application Backups
- **Frequency**: Daily
- **Retention**: 90 days
- **Location**: [Backup location]
- **Type**: Full

### Configuration Backups
- **Frequency**: On change
- **Retention**: 365 days
- **Location**: [Backup location]
- **Type**: Version control

## Recovery Procedures

### Database Recovery
```bash
# Stop application
systemctl stop [service-name]

# Restore from backup
pg_restore -d [database] [backup-file]

# Verify data
psql -d [database] -c "SELECT COUNT(*) FROM [table];"

# Start application
systemctl start [service-name]

# Verify application
curl https://api.example.com/health

Application Recovery

# Restore application backup
./scripts/restore-app.sh [backup-id]

# Verify configuration
./scripts/verify-config.sh

# Start services
systemctl start [service-name]

# Verify health
curl https://api.example.com/health

Failover Procedures

Primary to Secondary

# Promote secondary to primary
./scripts/promote-secondary.sh

# Update DNS
./scripts/update-dns.sh

# Verify failover
curl https://api.example.com/health

Secondary to Primary

# Restore primary
./scripts/restore-primary.sh

# Update DNS
./scripts/update-dns.sh

# Verify restoration
curl https://api.example.com/health

Testing

Backup Testing

• Frequency: Monthly
• Scope: Random backup
• Verification: Data integrity
• Documentation: Test results

Recovery Testing

• Frequency: Quarterly
• Scope: Full recovery drill
• Verification: Service functionality
• Documentation: Test results

Failover Testing

• Frequency: Semi-annually
• Scope: Full failover
• Verification: Service continuity
• Documentation: Test results

---

## 11. Maintenance Procedures

### Maintenance Tasks

```markdown
# Maintenance

## Routine Maintenance

### Daily Tasks
- [ ] Review logs for errors
- [ ] Check disk space
- [ ] Verify backup completion
- [ ] Review monitoring alerts

### Weekly Tasks
- [ ] Review performance metrics
- [ ] Check for security updates
- [ ] Review system logs
- [ ] Clean up temporary files

### Monthly Tasks
- [ ] Review and rotate logs
- [ ] Update documentation
- [ ] Review capacity planning
- [ ] Test backup restoration

### Quarterly Tasks
- [ ] Review and update runbooks
- [ ] Conduct disaster recovery test
- [ ] Review security posture
- [ ] Update software versions

## Backup and Restore

### Backup Procedures
```bash
# Database backup
pg_dump -U [username] -d [database] > [backup-file].sql

# Application backup
tar -czf [backup-file].tar.gz /var/www/app

# Configuration backup
cp /etc/app/config.yaml /backups/config-$(date +%Y%m%d).yaml

Restore Procedures

# Database restore
psql -U [username] -d [database] < [backup-file].sql

# Application restore
tar -xzf [backup-file].tar.gz -C /var/www/

# Configuration restore
cp /backups/config-[date].yaml /etc/app/config.yaml

Health Checks

Application Health Check

# Run health check
curl https://api.example.com/health

# Expected response
{
  "status": "healthy",
  "version": "1.0.0",
  "timestamp": "2024-01-15T10:00:00Z"
}

Database Health Check

# Check database status
systemctl status postgresql

# Check database connections
psql -c "SELECT count(*) FROM pg_stat_activity;"

# Check database size
psql -c "SELECT pg_size_pretty(pg_database_size('[database]'));"

System Health Check

# Check CPU
top -bn1 | grep "Cpu(s)"

# Check memory
free -h

# Check disk
df -h

# Check network
ping -c 4 [hostname]

Performance Tuning

Database Tuning

# Analyze query performance
./scripts/analyze-queries.sh

# Update statistics
psql -c "ANALYZE;"

# Reindex if needed
psql -c "REINDEX DATABASE [database];"

Application Tuning

# Review and update configuration
vim /etc/app/config.yaml

# Restart service
systemctl restart [service-name]

# Monitor performance
./scripts/monitor-performance.sh

System Tuning

# Update system parameters
vim /etc/sysctl.conf

# Apply changes
sysctl -p

# Reboot if needed
reboot

---

## 12. Tools and Access

### Required Tools

```markdown
# Tools and Access

## Required Tools

### Command Line Tools
- **SSH**: For server access
- **curl**: For API testing
- **jq**: For JSON parsing
- **psql**: For database access

### Monitoring Tools
- **Grafana**: For dashboards
- **Prometheus**: For metrics
- **Kibana**: For log analysis

### Development Tools
- **Git**: For version control
- **Docker**: For container management
- **Kubernetes**: For orchestration

## Access Requirements

### Server Access
- **SSH Key**: Required for SSH access
- **VPN**: Required for remote access
- **MFA**: Required for authentication

### Database Access
- **Username**: [Database username]
- **Password**: [Password manager reference]
- **Connection String**: [Connection string]

### API Access
- **API Key**: [API key reference]
- **Authentication**: OAuth token
- **Base URL**: https://api.example.com

## Command References

### Service Management
```bash
# Start service
systemctl start [service-name]

# Stop service
systemctl stop [service-name]

# Restart service
systemctl restart [service-name]

# Check status
systemctl status [service-name]

# View logs
journalctl -u [service-name] -f

Database Commands

# Connect to database
psql -h [hostname] -U [username] -d [database]

# Run query
psql -c "SELECT * FROM [table] LIMIT 10;"

# Import data
psql -d [database] < [file].sql

# Export data
pg_dump -U [username] -d [database] > [file].sql

Monitoring Commands

# Check CPU
top

# Check memory
free -h

# Check disk
df -h

# Check processes
ps aux

Useful Scripts

Health Check Script

#!/bin/bash
# health-check.sh

echo "Checking service health..."

# Check service status
systemctl is-active --quiet [service-name]
if [ $? -eq 0 ]; then
    echo "✓ Service is running"
else
    echo "✗ Service is not running"
    exit 1
fi

# Check health endpoint
curl -f https://api.example.com/health
if [ $? -eq 0 ]; then
    echo "✓ Health check passed"
else
    echo "✗ Health check failed"
    exit 1
fi

echo "All checks passed!"

Backup Script

#!/bin/bash
# backup.sh

DATE=$(date +%Y%m%d_%H%M%S)
BACKUP_DIR="/backups"

# Database backup
pg_dump -U [username] -d [database] > $BACKUP_DIR/db_$DATE.sql

# Application backup
tar -czf $BACKUP_DIR/app_$DATE.tar.gz /var/www/app

echo "Backup completed: $DATE"

Restore Script

#!/bin/bash
# restore.sh

BACKUP_FILE=$1

if [ -z "$BACKUP_FILE" ]; then
    echo "Usage: $0 <backup-file>"
    exit 1
fi

# Restore database
psql -U [username] -d [database] < $BACKUP_FILE

echo "Restore completed"

---

## 13. Contacts

### Contact Information

```markdown
# Contacts

## On-Call Rotation

### Current On-Call
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]
- **Time Zone**: [Time zone]

### Upcoming Schedule
| Date | Name | Phone | Slack |
|------|------|-------|-------|
| [Date] | [Name] | [Phone] | [@username] |
| [Date] | [Name] | [Phone] | [@username] |
| [Date] | [Name] | [Phone] | [@username] |

## Subject Matter Experts

### Database
- **Name**: [Name]
- **Email**: [Email]
- **Slack**: [@username]
- **Expertise**: Database administration, optimization

### Security
- **Name**: [Name]
- **Email**: [Email]
- **Slack**: [@username]
- **Expertise**: Security, compliance

### Infrastructure
- **Name**: [Name]
- **Email**: [Email]
- **Slack**: [@username]
- **Expertise**: Infrastructure, networking

## Escalation Contacts

### Team Lead
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

### Engineering Manager
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

### VP of Engineering
- **Name**: [Name]
- **Phone**: [Phone number]
- **Email**: [Email]
- **Slack**: [@username]

## Support Channels

### Internal Support
- **Slack Channel**: #support-[service-name]
- **Email**: support@example.com
- **Ticket System**: https://support.example.com

### External Support
- **Vendor**: [Vendor name]
- **Support Email**: [Email]
- **Support Phone**: [Phone]
- **Support Portal**: [URL]

### Emergency Contacts
- **IT Security**: [Phone]
- **Data Center**: [Phone]
- **Cloud Provider**: [Phone]

14. Testing Runbooks

Runbook Testing Checklist

# Testing Runbooks

## Testing Checklist

### Accuracy Testing
- [ ] All commands work as documented
- [ ] All links are valid
- [ ] All contact information is current
- [ ] All procedures are complete

### Completeness Testing
- [ ] All scenarios are covered
- [ ] All edge cases are addressed
- [ ] All dependencies are documented
- [ ] All tools are listed

### Usability Testing
- [ ] Procedures are clear and concise
- [ ] Steps are in logical order
- [ ] Examples are helpful
- [ ] Troubleshooting is comprehensive

### Emergency Testing
- [ ] Emergency procedures work
- [ ] Escalation paths are clear
- [ ] Contact information is accurate
- [ ] Communication templates are usable

## Testing Schedule

### Regular Testing
- **Frequency**: Quarterly
- **Scope**: All procedures
- **Participants**: On-call team
- **Documentation**: Test results

### Emergency Testing
- **Frequency**: Semi-annually
- **Scope**: Emergency procedures
- **Participants**: All stakeholders
- **Documentation**: Test results and improvements

## Test Documentation

### Test Report Template
```markdown
# Runbook Test Report

**Date**: [Date]
**Tester**: [Name]
**Runbook**: [Runbook Name]

## Test Results

#

…(truncated)