Docker Management
Manage Docker containers, images, volumes, networks, and Compose stacks using standard Docker CLI commands. No additional dependencies beyond Docker itself.
When to Use
- Run, stop, restart, remove, or inspect containers
- Build, pull, push, tag, or clean up Docker images
- Work with Docker Compose (multi-service stacks)
- Manage volumes or networks
- Debug a crashing container or analyze logs
- Check Docker disk usage or free up space
- Review or optimize a Dockerfile
Prerequisites
- Docker Engine installed and running
- User added to the
dockergroup (or usesudo) - Docker Compose v2 (included with modern Docker installations)
Quick check:
bashdocker --version && docker compose version
Quick Reference
| Task | Command |
|---|---|
| Run container (background) | docker run -d --name NAME IMAGE |
| Stop + remove | docker stop NAME && docker rm NAME |
| View logs (follow) | docker logs --tail 50 -f NAME |
| Shell into container | docker exec -it NAME /bin/sh |
| List all containers | docker ps -a |
| Build image | docker build -t TAG . |
| Compose up | docker compose up -d |
| Compose down | docker compose down |
| Disk usage | docker system df |
| Cleanup dangling | docker image prune && docker container prune |
Procedure
1. Identify the domain
Figure out which area the request falls into:
- Container lifecycle → run, stop, start, restart, rm, pause/unpause
- Container interaction → exec, cp, logs, inspect, stats
- Image management → build, pull, push, tag, rmi, save/load
- Docker Compose → up, down, ps, logs, exec, build, config
- Volumes & networks → create, inspect, rm, prune, connect
- Troubleshooting → log analysis, exit codes, resource issues
2. Container operations
Run a new container:
bash# Detached service with port mapping docker run -d --name web -p 8080:80 nginx # With environment variables docker run -d -e POSTGRES_PASSWORD=secret -e POSTGRES_DB=mydb --name db postgres:16 # With persistent data (named volume) docker run -d -v pgdata:/var/lib/postgresql/data --name db postgres:16 # For development (bind mount source code) docker run -d -v $(pwd)/src:/app/src -p 3000:3000 --name dev my-app # Interactive debugging (auto-remove on exit) docker run -it --rm ubuntu:22.04 /bin/bash # With resource limits and restart policy docker run -d --memory=512m --cpus=1.5 --restart=unless-stopped --name app my-app
Key flags: -d detached, -it interactive+tty, --rm auto-remove, -p port (host:container), -e env var, -v volume, --name name, --restart restart policy.
Manage running containers:
bashdocker ps # running containers docker ps -a # all (including stopped) docker stop NAME # graceful stop docker start NAME # start stopped container docker restart NAME # stop + start docker rm NAME # remove stopped container docker rm -f NAME # force remove running container docker container prune # remove ALL stopped containers
Interact with containers:
bashdocker exec -it NAME /bin/sh # shell access (use /bin/bash if available) docker exec NAME env # view environment variables docker exec -u root NAME apt update # run as specific user docker logs --tail 100 -f NAME # follow last 100 lines docker logs --since 2h NAME # logs from last 2 hours docker cp NAME:/path/file ./local # copy file from container docker cp ./file NAME:/path/ # copy file to container docker inspect NAME # full container details (JSON) docker stats --no-stream # resource usage snapshot docker top NAME # running processes
3. Image management
bash# Build docker build -t my-app:latest . docker build -t my-app:prod -f Dockerfile.prod . docker build --no-cache -t my-app . # clean rebuild DOCKER_BUILDKIT=1 docker build -t my-app . # faster with BuildKit # Pull and push docker pull node:20-alpine docker login ghcr.io docker tag my-app:latest registry/my-app:v1.0 docker push registry/my-app:v1.0 # Inspect docker images # list local images docker history IMAGE # see layers docker inspect IMAGE # full details # Cleanup docker image prune # remove dangling (untagged) images docker image prune -a # remove ALL unused images (careful!) docker image prune -a --filter "until=168h" # unused images older than 7 days
4. Docker Compose
bash# Start/stop docker compose up -d # start all services detached docker compose up -d --build # rebuild images before starting docker compose down # stop and remove containers docker compose down -v # also remove volumes (DESTROYS DATA) # Monitoring docker compose ps # list services docker compose logs -f api # follow logs for specific service docker compose logs --tail 50 # last 50 lines all services # Interaction docker compose exec api /bin/sh # shell into running service docker compose run --rm api npm test # one-off command (new container) docker compose restart api # restart specific service # Validation docker compose config # validate and view resolved config
Minimal compose.yml example:
yamlservices: api: build: . ports: - "3000:3000" environment: - DATABASE_URL=postgres://user:pass@db:5432/mydb depends_on: db: condition: service_healthy db: image: postgres:16-alpine environment: POSTGRES_USER: user POSTGRES_PASSWORD: pass POSTGRES_DB: mydb volumes: - pgdata:/var/lib/postgresql/data healthcheck: test: ["CMD-SHELL", "pg_isready -U user"] interval: 10s timeout: 5s retries: 5 volumes: pgdata:
5. Volumes and networks
bash# Volumes docker volume ls # list volumes docker volume create mydata # create named volume docker volume inspect mydata # details (mount point, etc.) docker volume rm mydata # remove (fails if in use) docker volume prune # remove unused volumes # Networks docker network ls # list networks docker network create mynet # create bridge network docker network inspect mynet # details (connected containers) docker network connect mynet NAME # attach container to network docker network disconnect mynet NAME # detach container docker network rm mynet # remove network docker network prune # remove unused networks
6. Disk usage and cleanup
Always start with a diagnostic before cleaning:
bash# Check what's using space docker system df # summary docker system df -v # detailed breakdown # Targeted cleanup (safe) docker container prune # stopped containers docker image prune # dangling images docker volume prune # unused volumes docker network prune # unused networks # Aggressive cleanup (confirm with user first!) docker system prune # containers + images + networks docker system prune -a # also unused images docker system prune -a --volumes # EVERYTHING — named volumes too
Warning: Never run docker system prune -a --volumes without confirming with the user. This removes named volumes with potentially important data.
Pitfalls
| Problem | Cause | Fix |
|---|---|---|
| Container exits immediately | Main process finished or crashed | Check docker logs NAME, try docker run -it --entrypoint /bin/sh IMAGE |
| "port is already allocated" | Another process using that port | docker ps or lsof -i :PORT to find it |
| "no space left on device" | Docker disk full | docker system df then targeted prune |
| Can't connect to container | App binds to 127.0.0.1 inside container | App must bind to 0.0.0.0, check -p mapping |
| Permission denied on volume | UID/GID mismatch host vs container | Use --user $(id -u):$(id -g) or fix permissions |
| Compose services can't reach each other | Wrong network or service name | Services use service name as hostname, check docker compose config |
| Build cache not working | Layer order wrong in Dockerfile | Put rarely-changing layers first (deps before source code) |
| Image too large | No multi-stage build, no .dockerignore | Use multi-stage builds, add .dockerignore |
Verification
After any Docker operation, verify the result:
- Container started? →
docker ps(check status is "Up") - Logs clean? →
docker logs --tail 20 NAME(no errors) - Port accessible? →
curl -s http://localhost:PORTordocker port NAME - Image built? →
docker images | grep TAG - Compose stack healthy? →
docker compose ps(all services "running" or "healthy") - Disk freed? →
docker system df(compare before/after)
Dockerfile Optimization Tips
When reviewing or creating a Dockerfile, suggest these improvements:
- Multi-stage builds — separate build environment from runtime to reduce final image size
- Layer ordering — put dependencies before source code so changes don't invalidate cached layers
- Combine RUN commands — fewer layers, smaller image
- Use .dockerignore — exclude
node_modules,.git,__pycache__, etc. - Pin base image versions —
node:20-alpinenotnode:latest - Run as non-root — add
USERinstruction for security - Use slim/alpine bases —
python:3.12-slimnotpython:3.12


