Production Support
Docker Production Issues
Handling critical Docker issues in production environments with proven resolution strategies.
Performance
Issues
Storage
Issues
Networking
Issues
Security
Issues
Availability
Issues
Recovery
Issues
Incident Response Runbook
Step-by-step guide for handling production Docker incidents
# Production Incident Response Runbook
## 1. Assess Impact
- How many containers affected?
- Is critical functionality impacted?
- Are downstream services affected?
## 2. Gather Information
# Check all container states
docker ps -a
# Check Docker daemon logs
journalctl -u docker.service --since "10 minutes ago"
# Check container resource usage
docker stats --no-stream
# Inspect container details
docker inspect <container>
# Review recent changes
docker events --since "30m"
## 3. Immediate Actions
# Restart failed container
docker restart <container>
# Scale up healthy instances
docker compose up -d --scale service=N
# Roll back to previous version
docker service rollback <service>
## 4. Root Cause Analysis
# Check container logs
docker logs --since "1h" <container>
# Check application metrics
docker exec <container> top
# Capture container state
docker commit <container> debug-image
## 5. Communication
- Update incident status
- Document timeline
- Notify stakeholdersCommon Production Issues
Performance
High CPU Usage
Container consuming excessive CPU resources
docker stats --no-streamSlow Container Starts
Containers taking too long to become ready
docker inspect --format="{{.State.StartedAt}}" <container>Storage
Disk Full
Docker daemon runs out of disk space
docker system df -vVolume Data Loss
Data disappearing after container restart
docker volume inspect <volume>Networking
Intermittent Connectivity
Containers lose network connectivity sporadically
docker network inspect bridgePort Binding Fails
Cannot bind container port to host
netstat -tulpn | grep <port>