Incident_management
Chapter 54: Incident Management
Section titled “Chapter 54: Incident Management”Incident Management is the practice of responding to and resolving outages and service disruptions effectively.
Incident Management Overview
Section titled “Incident Management Overview”┌─────────────────────────────────────────────────────────────────────────────┐│ Incident Lifecycle │├─────────────────────────────────────────────────────────────────────────────┤│ ││ ┌─────────────────────────────────────────────────────────────────────┐ ││ │ Incident Lifecycle │ ││ │ │ ││ │ ┌─────────┐ ┌─────────┐ ┌─────────┐ ┌─────────┐ │ ││ │ │ Detect │───▶│ Respond │───▶│ Resolve │───▶│ Learn │ │ ││ │ │ │ │ │ │ │ │ │ │ ││ │ └─────────┘ └─────────┘ └─────────┘ └─────────┘ │ ││ │ │ ││ │ - Monitoring - Triage - Fix - Post-Mortem │ ││ │ - Alerting - Escalate - Verify - Process Improve│ ││ │ - Reporting - Communicate - Notify - Document │ ││ │ │ ││ └─────────────────────────────────────────────────────────────────────┘ ││ ││ Key Metrics: ││ ✓ MTTR - Mean Time To Recovery ││ ✓ MTTD - Mean Time To Detect ││ ✓ MTBF - Mean Time Between Failures ││ │└─────────────────────────────────────────────────────────────────────────────┘Severity Levels
Section titled “Severity Levels”┌─────────────────────────────────────────────────────────────────────────────┐│ Incident Severity Levels │├─────────────────────────────────────────────────────────────────────────────┤│ ││ ┌─────────────────┐ ││ │ SEV1 - Critical │ Complete outage affecting all users ││ │ - Response: < 15 min ││ │ - Examples: Complete service down, data loss ││ └─────────────────┘ ││ ││ ┌─────────────────┐ ││ │ SEV2 - High │ Major feature unavailable ││ │ - Response: < 30 min ││ │ - Examples: Payment system down, login failure ││ └─────────────────┘ ││ ││ ┌─────────────────┐ ││ │ SEV3 - Medium │ Partial functionality affected ││ │ - Response: < 2 hours ││ │ - Examples: Slow performance, intermittent errors ││ └─────────────────┘ ││ ││ ┌─────────────────┐ ││ │ SEV4 - Low │ Minor issues, workarounds available ││ │ - Response: < 24 hours ││ │ - Examples: UI bugs, documentation errors ││ └─────────────────┘ ││ │└─────────────────────────────────────────────────────────────────────────────┘Incident Response Process
Section titled “Incident Response Process”┌─────────────────────────────────────────────────────────────────────────────┐│ Incident Response Workflow │├─────────────────────────────────────────────────────────────────────────────┤│ ││ ┌─────────────────────────────────────────────────────────────────────┐ ││ │ 1. Detection & Triage │ ││ │ │ ││ │ - Monitor detects issue (alert) │ ││ │ - On-call engineer acknowledges │ ││ │ - Initial assessment and severity assignment │ ││ │ - Create incident ticket │ ││ │ │ ││ └─────────────────────────────────────────────────────────────────────┘ ││ │ ││ ▼ ││ ┌─────────────────────────────────────────────────────────────────────┐ ││ │ 2. Response & Communication │ ││ │ │ ││ │ - Notify stakeholders │ ││ │ - Create incident channel (Slack/Teams) │ ││ │ - Begin root cause analysis │ ││ │ - Regular status updates │ ││ │ │ ││ └─────────────────────────────────────────────────────────────────────┘ ││ │ ││ ▼ ││ ┌─────────────────────────────────────────────────────────────────────┐ ││ │ 3. Resolution │ ││ │ │ ││ │ - Implement fix │ ││ │ - Verify resolution │ ││ │ - Monitor for recurrence │ ││ │ - Confirm service restoration │ ││ │ │ ││ └─────────────────────────────────────────────────────────────────────┘ ││ │ ││ ▼ ││ ┌─────────────────────────────────────────────────────────────────────┐ ││ │ 4. Post-Incident │ ││ │ │ ││ │ - Schedule post-mortem │ ││ │ - Document lessons learned │ ││ │ - Update runbooks │ ││ │ - Implement improvements │ ││ │ │ ││ └─────────────────────────────────────────────────────────────────────┘ ││ │└─────────────────────────────────────────────────────────────────────────────┘Runbooks
Section titled “Runbooks”# runbook-database-connection.md# Database Connection Issues
## Symptoms- High connection count- Connection timeouts- "Too many connections" errors
## Diagnosis1. Check current connections: ```bash psql -h $DB_HOST -U $DB_USER -c "SELECT count(*) FROM pg_stat_activity;"-
Check active queries:
Terminal window psql -h $DB_HOST -U $DB_USER -c "SELECT * FROM pg_stat_activity WHERE state != 'idle';" -
Check connection limits:
Terminal window psql -h $DB_HOST -U $DB_USER -c "SHOW max_connections;"
Resolution Steps
Section titled “Resolution Steps”If connections are high:
Section titled “If connections are high:”-
Identify long-running queries
Terminal window psql -h $DB_HOST -U $DB_USER -c "SELECT pid, now() - pg_stat_activity.query_start AS duration, query FROM pg_stat_activity WHERE state != 'idle' ORDER BY duration DESC LIMIT 10;" -
Terminate problematic queries (if safe)
Terminal window psql -h $DB_HOST -U $DB_USER -c "SELECT pg_terminate_backend(pid);" -
Scale database connection pool
If connection pool is exhausted:
Section titled “If connection pool is exhausted:”- Check application connection leaks
- Restart application pods (if needed)
- Increase connection pool size temporarily
Escalation
Section titled “Escalation”- SEV1: @oncall-platform
- SEV2: @platform-team
## Post-Mortem Template
```markdown# Post-Mortem: [Incident Title]
## SummaryBrief description of what happened and impact.
## Impact- Users affected: [Number]- Duration: [Start time] - [End time]- Severity: [SEV level]
## Timeline (UTC)- [Time] - Alert triggered- [Time] - Incident acknowledged- [Time] - Root cause identified- [Time] - Fix deployed- [Time] - Incident resolved
## Root CauseDetailed explanation of what caused the incident.
## What Went Well- Detection worked quickly- Team responded effectively
## What Could Be Improved- Alert thresholds too sensitive- Documentation outdated
## Action Items- [ ] Update alert threshold - @john - due: 2024-01-15- [ ] Update runbook - @jane - due: 2024-01-20- [ ] Implement circuit breaker - @team - due: 2024-02-01
## Lessons LearnedKey takeaways from this incident.Incident Management Tools
Section titled “Incident Management Tools”┌─────────────────────────────────────────────────────────────────────────────┐│ Incident Management Tools │├─────────────────────────────────────────────────────────────────────────────┤│ ││ PagerDuty: ││ ┌───────────────────────────────────────────────────────────────────┐ ││ │ - On-call scheduling │ ││ │ - Alert routing │ ││ │ - Incident response │ ││ │ - Analytics │ ││ └───────────────────────────────────────────────────────────────────┘ ││ ││ Opsgenie: ││ ┌───────────────────────────────────────────────────────────────────┐ ││ │ - Alert management │ ││ │ - On-call schedules │ ││ │ - Integration with many tools │ ││ └───────────────────────────────────────────────────────────────────┘ ││ ││ VictorOps: ││ ┌───────────────────────────────────────────────────────────────────┐ ││ │ - Incident lifecycle management │ ││ │ - On-call rotation │ ││ │ - ChatOps integration │ ││ └───────────────────────────────────────────────────────────────────┘ ││ ││ FireHydrant: ││ ┌───────────────────────────────────────────────────────────────────┐ ││ │ - Incident management platform │ ││ │ - Post-mortem automation │ ││ │ - Status pages │ ││ └───────────────────────────────────────────────────────────────────┘ ││ │└─────────────────────────────────────────────────────────────────────────────┘Status Page Communication
Section titled “Status Page Communication”# status-page-template.md# Status Page Components
## Components- API Service: Operational- Web Application: Operational- Mobile App: Operational- Payment Processing: Operational- Database: Operational
## Current Status🟢 All Systems Operational
## Past Incidents### [Date] - Scheduled Maintenance**Status:** Completed**Duration:** 30 minutes**Description:** Database upgrades completed successfully.
### [Date] - Payment Processing Issue**Status:** Resolved**Duration:** 2 hours 15 minutes**Impact:** Some users experienced payment failures**Root Cause:** Database connection pool exhaustion**Resolution:** Applied fix and monitoring improvementsIncident Response Automation
Section titled “Incident Response Automation”name: Auto-Response Pipeline
on: alert: types: [triggered]
jobs: triage: runs-on: ubuntu-latest steps: - name: Classify Alert id: classify uses: actions/alert-classifier@v1 with: alert: ${{ toJson(github.event.alert) }}
- name: Create Slack Channel if: steps.classify.outputs.severity == 'high' uses: peter-evans/create-or-update-comment@v1 with: channel-id: ${{ secrets.INCIDENT_CHANNEL }} message: "New incident triggered: ${{ steps.classify.outputs.title }}"
- name: Page On-Call if: steps.classify.outputs.severity == 'critical' uses: pagerduty/pagerduty-create-incident@v1 with: service-id: ${{ secrets.PAGERDUTY_SERVICE_ID }} title: ${{ steps.classify.outputs.title }} urgency: high
- name: Update Status Page if: steps.classify.outputs.severity != 'low' uses: burnett01/statuspage-update@v1 with: status: investigating message: ${{ steps.classify.outputs.title }}Metrics and KPIs
Section titled “Metrics and KPIs”┌─────────────────────────────────────────────────────────────────────────────┐│ Incident Metrics │├─────────────────────────────────────────────────────────────────────────────┤│ ││ Response Metrics: ││ ┌───────────────────────────────────────────────────────────────────┐ ││ │ MTTD - Mean Time To Detect │ ││ │ - Time from issue start to alert trigger │ ││ │ - Target: < 5 minutes │ ││ │ │ ││ │ MTTA - Mean Time To Acknowledge │ ││ │ - Time from alert to engineer acknowledging │ ││ │ - Target: < 5 minutes │ ││ │ │ ││ │ MTTR - Mean Time To Resolve │ ││ │ - Time from alert to service restoration │ ││ │ - Target: < 30 minutes for SEV1 │ ││ │ │ ││ └───────────────────────────────────────────────────────────────────┘ ││ ││ Quality Metrics: ││ ┌───────────────────────────────────────────────────────────────────┐ ││ │ MTBF - Mean Time Between Failures │ ││ │ - Average time between incidents │ ││ │ │ ││ │ False Positive Rate │ ││ │ - Percentage of alerts that aren't real issues │ ││ │ │ ││ │ Repeat Incident Rate │ ││ │ - Incidents caused by same issue within 30 days │ ││ │ │ ││ └───────────────────────────────────────────────────────────────────┘ ││ │└─────────────────────────────────────────────────────────────────────────────┘On-Call Best Practices
Section titled “On-Call Best Practices”┌─────────────────────────────────────────────────────────────────────────────┐│ On-Call Best Practices │├─────────────────────────────────────────────────────────────────────────────┤│ ││ 1. Clear Escalation Paths ││ - Define who to contact at each level ││ - Document in runbooks ││ ││ 2. Reasonable Rotation ││ - Rotate on-call weekly ││ - Avoid handovers on Mondays/Fridays ││ - Allow for time off after on-call ││ ││ 3. Alert Quality ││ - Tune alerts to reduce noise ││ - Use composite alerts ││ - Set appropriate thresholds ││ ││ 4. Tools and Access ││ - Ensure VPN/access from anywhere ││ - Mobile-friendly dashboards ││ - Quick access to runbooks ││ ││ 5. Post-On-Call Review ││ - Review any incidents handled ││ - Update documentation ││ - Rest and recover ││ │└─────────────────────────────────────────────────────────────────────────────┘Summary
Section titled “Summary”In this chapter, you learned:
- Incident Lifecycle: Detection, response, resolution, learning
- Severity Levels: SEV1-4 classification
- Response Process: Triage, communication, fix, post-mortem
- Runbooks: Documentation and automation
- Post-Mortems: Template and best practices
- Tools: PagerDuty, Opsgenie, status pages
- Metrics: MTTD, MTTR, MTBF
- On-Call: Best practices for on-call engineers
Guide Complete!
Section titled “Guide Complete!”You have completed the DevOps Tools Complete Guide. Here’s what was covered:
Docker (Chapters 1-10)
Section titled “Docker (Chapters 1-10)”- Docker fundamentals and architecture
- Images, containers, networking
- Dockerfiles, Docker Compose
- Best practices
Kubernetes (Chapters 11-25)
Section titled “Kubernetes (Chapters 11-25)”- Kubernetes architecture
- Pods, Deployments, Services
- ConfigMaps, Secrets, Storage
- Advanced topics (Ingress, HPA, Helm)
Terraform/IaC (Chapters 33-40)
Section titled “Terraform/IaC (Chapters 33-40)”- Infrastructure as Code concepts
- Terraform basics, variables, state
- Modules and best practices
- CloudFormation
Ansible (Chapters 41-45)
Section titled “Ansible (Chapters 41-45)”- Configuration management
- Playbooks, roles, inventory
- Advanced features
CI/CD (Chapters 46-49)
Section titled “CI/CD (Chapters 46-49)”- CI/CD pipeline concepts
- Jenkins, GitHub Actions, GitLab CI
Advanced DevOps (Chapters 50-54)
Section titled “Advanced DevOps (Chapters 50-54)”- GitOps, Platform Engineering
- SRE, Observability
- Chaos Engineering, Service Mesh
- Container Security, Incident Management