DevLearn
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 stakeholders

Common Production Issues

Performance

High CPU Usage

Container consuming excessive CPU resources

docker stats --no-stream
Slow 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 -v
Volume Data Loss

Data disappearing after container restart

docker volume inspect <volume>

Networking

Intermittent Connectivity

Containers lose network connectivity sporadically

docker network inspect bridge
Port Binding Fails

Cannot bind container port to host

netstat -tulpn | grep <port>