9.9 KiB
Incident Response Procedures
Project: LCBP3-DMS Version: 1.6.0 Last Updated: 2025-12-02
📋 Overview
This document outlines incident classification, response procedures, and post-incident reviews for LCBP3-DMS.
🚨 Incident Classification
Severity Levels
| Severity | Description | Response Time | Examples |
|---|---|---|---|
| P0 - Critical | Complete system outage | 15 minutes | Database down, All services unavailable |
| P1 - High | Major functionality impaired | 1 hour | Authentication failing, Cannot create documents |
| P2 - Medium | Degraded performance | 4 hours | Slow response time, Some features broken |
| P3 - Low | Minor issues | Next business day | UI glitch, Non-critical bug |
📞 Incident Response Team
Roles & Responsibilities
Incident Commander (IC)
- Coordinates response efforts
- Makes final decisions
- Communicates with stakeholders
Technical Lead (TL)
- Diagnoses technical issues
- Implements fixes
- Coordinates with engineers
Communications Lead (CL)
- Updates stakeholders
- Manages internal/external communications
- Documents incident timeline
On-Call Engineer
- First responder
- Initial triage and investigation
- Escalates to appropriate team
🔄 Incident Response Workflow
flowchart TD
Start([Incident Detected]) --> Acknowledge[Acknowledge Incident]
Acknowledge --> Assess[Assess Severity]
Assess --> P0{Severity?}
P0 -->|P0/P1| Alert[Page Incident Commander]
P0 -->|P2/P3| Assign[Assign to On-Call]
Alert --> Investigate[Investigate Root Cause]
Assign --> Investigate
Investigate --> Mitigate[Implement Mitigation]
Mitigate --> Verify[Verify Resolution]
Verify --> Resolved{Resolved?}
Resolved -->|No| Escalate[Escalate/Re-assess]
Escalate --> Investigate
Resolved -->|Yes| Communicate[Communicate Resolution]
Communicate --> PostMortem[Schedule Post-Mortem]
PostMortem --> End([Close Incident])
📋 Incident Response Playbooks
P0: Database Down
Symptoms:
- Backend returns 500 errors
- Cannot connect to database
- Health check fails
Immediate Actions:
-
Verify Issue
docker ps | grep mariadb docker logs lcbp3-mariadb --tail=50 -
Attempt Restart
docker restart lcbp3-mariadb -
Check Database Process
docker exec lcbp3-mariadb ps aux | grep mysql -
If Restart Fails:
# Check disk space df -h # Check database logs for corruption docker exec lcbp3-mariadb cat /var/log/mysql/error.log # If corrupted, restore from backup # See backup-recovery.md -
Escalate to DBA if not resolved in 30 minutes
P0: Complete System Outage
Symptoms:
- All services return 502/503
- Health checks fail
- Users cannot access system
Immediate Actions:
-
Check Container Status
docker-compose ps # Identify which containers are down -
Restart All Services
docker-compose restart -
Check QNAP Server Resources
top df -h free -h -
Check Network
ping 8.8.8.8 netstat -tlnp -
If Server Issue:
- Reboot QNAP server
- Contact QNAP support
P1: Authentication System Failing
Symptoms:
- Users cannot log in
- JWT validation fails
- 401 errors
Immediate Actions:
-
Check Redis (Session Store)
docker exec lcbp3-redis redis-cli ping # Should return PONG -
Check JWT Secret Configuration
docker exec lcbp3-backend env | grep JWT_SECRET # Verify not empty -
Check Backend Logs
docker logs lcbp3-backend --tail=100 | grep "JWT\|Auth" -
Temporary Mitigation:
# Restart backend to reload config docker restart lcbp3-backend
P1: File Upload Failing
Symptoms:
- Users cannot upload files
- 500 errors on file upload
- "Disk full" errors
Immediate Actions:
-
Check Disk Space
df -h /var/lib/docker/volumes/lcbp3_uploads -
If Disk Full:
# Clean up temp uploads find /var/lib/docker/volumes/lcbp3_uploads/_data/temp \ -type f -mtime +1 -delete -
Check ClamAV (Virus Scanner)
docker logs lcbp3-clamav --tail=50 docker restart lcbp3-clamav -
Check File Permissions
docker exec lcbp3-backend ls -la /app/uploads
P2: Slow Performance
Symptoms:
- Pages load slowly
- API response time > 2s
- Users complain about slowness
Actions:
-
Check System Resources
docker stats # Identify high CPU/memory containers -
Check Database Performance
-- Show slow queries SHOW PROCESSLIST; -- Check connections SHOW STATUS LIKE 'Threads_connected'; -
Check Redis
docker exec lcbp3-redis redis-cli --stat -
Check Application Logs
docker logs lcbp3-backend | grep "Slow request" -
Temporary Mitigation:
- Restart slow containers
- Clear Redis cache if needed
- Kill long-running queries
P2: Email Notifications Not Sending
Symptoms:
- Users not receiving emails
- Email queue backing up
Actions:
-
Check Email Queue
# Access BullMQ dashboard or check Redis docker exec lcbp3-redis redis-cli LLEN bull:email:waiting -
Check Email Processor Logs
docker logs lcbp3-backend | grep "email\|SMTP" -
Test SMTP Connection
docker exec lcbp3-backend node -e " const nodemailer = require('nodemailer'); const transport = nodemailer.createTransport({ host: process.env.SMTP_HOST, port: process.env.SMTP_PORT, auth: { user: process.env.SMTP_USER, pass: process.env.SMTP_PASS } }); transport.verify().then(console.log).catch(console.error); " -
Check SMTP Credentials
- Verify not expired
- Check firewall/network access
📝 Incident Documentation
Incident Report Template
# Incident Report: [Brief Description]
**Incident ID:** INC-YYYYMMDD-001
**Severity:** P1
**Status:** Resolved
**Incident Commander:** [Name]
## Timeline
| Time | Event |
| ----- | --------------------------------------------------------- |
| 14:00 | Alert: High error rate detected |
| 14:05 | On-call engineer acknowledged |
| 14:10 | Identified root cause: Database connection pool exhausted |
| 14:15 | Implemented mitigation: Increased pool size |
| 14:20 | Verified resolution |
| 14:30 | Incident resolved |
## Impact
- **Duration:** 30 minutes
- **Affected Users:** ~50 users
- **Affected Services:** Document creation, Search
- **Data Loss:** None
## Root Cause
Database connection pool was exhausted due to slow queries not releasing connections.
## Resolution
1. Increased connection pool size from 10 to 20
2. Optimized slow queries
3. Added connection pool monitoring
## Action Items
- [ ] Add connection pool size alert (Owner: DevOps, Due: Next Sprint)
- [ ] Implement automatic query timeouts (Owner: Backend, Due: 2025-12-15)
- [ ] Review all queries for optimization (Owner: DBA, Due: 2025-12-31)
## Lessons Learned
- Connection pool monitoring was insufficient
- Need automated remediation for common issues
🔍 Post-Incident Review (PIR)
PIR Meeting Agenda
-
Timeline Review (10 min)
- What happened and when?
- What was the impact?
-
Root Cause Analysis (15 min)
- Why did it happen?
- What were the contributing factors?
-
What Went Well (10 min)
- What did we do right?
- What helped us resolve quickly?
-
What Went Wrong (15 min)
- What could we have done better?
- What slowed us down?
-
Action Items (10 min)
- What changes will prevent this?
- Who owns each action?
- When will they be completed?
PIR Best Practices
- Blameless Culture: Focus on systems, not individuals
- Actionable Outcomes: Every PIR should produce concrete actions
- Follow Through: Track action items to completion
- Share Learnings: Distribute PIR summary to entire team
📊 Incident Metrics
Track & Review Monthly
- MTTR (Mean Time To Resolution): Average time to resolve incidents
- MTBF (Mean Time Between Failures): Average time between incidents
- Incident Frequency: Number of incidents per month
- Severity Distribution: Breakdown by P0/P1/P2/P3
- Repeat Incidents: Same root cause occurring multiple times
✅ Incident Response Checklist
During Incident
- Acknowledge incident in tracking system
- Assess severity and assign IC
- Create incident channel (Slack/Teams)
- Begin documenting timeline
- Investigate and implement mitigation
- Communicate status updates every 30 min (P0/P1)
- Verify resolution
- Communicate resolution to stakeholders
After Incident
- Create incident report
- Schedule PIR within 48 hours
- Identify action items
- Assign owners and deadlines
- Update runbooks/playbooks
- Share learnings with team
🔗 Related Documents
Version: 1.6.0 Last Review: 2025-12-01 Next Review: 2026-03-01