container-debug
✓Verified·Scanned 2/17/2026
This skill is a Docker container debugging guide covering logs, docker exec, docker run, networking, resource inspection, and Compose workflows. It contains explicit shell commands (e.g., docker exec, docker run) to be run on the host but no instructions to exfiltrate secrets or call external endpoints.
from clawhub.ai·vd007508·11.5 KB·0 installs
Scanned from 1.0.0 at d007508 · Transparency log ↗
$ vett add clawhub.ai/gitgoodordietrying/container-debug
Container Debug
Debug running Docker containers and Compose services. Covers logs, exec, networking, resource inspection, multi-stage builds, health checks, and common failure patterns.
When to Use
- Container exits immediately or crashes on start
- Application inside container behaves differently than on host
- Containers can't communicate with each other
- Container is using too much memory or CPU
- Multi-stage Docker build produces unexpected results
- Health checks are failing
- Compose services start in wrong order or can't connect
Container Logs
View and filter logs
# Last 100 lines
docker logs --tail 100 my-container
# Follow (stream) logs
docker logs -f my-container
# Follow with timestamps
docker logs -f -t my-container
# Logs since a time
docker logs --since 30m my-container
docker logs --since "2026-02-03T10:00:00" my-container
# Logs between times
docker logs --since 1h --until 30m my-container
# Compose: logs for all services
docker compose logs -f
# Compose: logs for specific service
docker compose logs -f api db
# Redirect logs to file for analysis
docker logs my-container > container.log 2>&1
# Separate stdout and stderr
docker logs my-container > stdout.log 2> stderr.log
Inspect log driver
# Check what log driver a container uses
docker inspect --format='{{.HostConfig.LogConfig.Type}}' my-container
# If json-file driver, find the actual log file
docker inspect --format='{{.LogPath}}' my-container
# Check log file size
ls -lh $(docker inspect --format='{{.LogPath}}' my-container)
Exec Into Containers
Interactive shell
# Bash (most common)
docker exec -it my-container bash
# If bash isn't available (Alpine, distroless)
docker exec -it my-container sh
# As root (even if container runs as non-root user)
docker exec -u root -it my-container bash
# With specific environment variables
docker exec -e DEBUG=1 -it my-container bash
# Run a single command (no interactive shell)
docker exec my-container cat /etc/os-release
docker exec my-container ls -la /app/
docker exec my-container env
Debug a crashed container
# Container exited? Check exit code
docker inspect --format='{{.State.ExitCode}}' my-container
docker inspect --format='{{.State.Error}}' my-container
# Common exit codes:
# 0 = clean exit
# 1 = application error
# 137 = killed (OOM or docker kill) — 128 + signal 9
# 139 = segfault — 128 + signal 11
# 143 = terminated (SIGTERM) — 128 + signal 15
# Start a stopped container to debug it
docker start -ai my-container
# Or override the entrypoint to get a shell
docker run -it --entrypoint sh my-image
# Copy files out of a stopped container
docker cp my-container:/app/error.log ./error.log
docker cp my-container:/etc/nginx/nginx.conf ./nginx.conf
Debug without a shell (distroless / scratch images)
# Use docker cp to extract files
docker cp my-container:/app/config.json ./
# Use nsenter to get a shell in the container's namespace (Linux)
PID=$(docker inspect --format='{{.State.Pid}}' my-container)
nsenter -t $PID -m -u -i -n -p -- /bin/sh
# Attach a debug container to the same namespace
docker run -it --pid=container:my-container --net=container:my-container busybox sh
# Docker Desktop: use debug extension
docker debug my-container
Networking
Inspect container networking
# Show container IP address
docker inspect -f '{{range .NetworkSettings.Networks}}{{.IPAddress}}{{end}}' my-container
# Show all network details
docker inspect -f '{{json .NetworkSettings.Networks}}' my-container | jq
# List all networks
docker network ls
# Inspect a network (see all connected containers)
docker network inspect bridge
docker network inspect my-compose-network
# Show port mappings
docker port my-container
Test connectivity between containers
# From inside container A, reach container B
docker exec container-a ping container-b
docker exec container-a curl http://container-b:8080/health
# DNS resolution inside container
docker exec my-container nslookup db
docker exec my-container cat /etc/resolv.conf
docker exec my-container cat /etc/hosts
# Test if port is reachable
docker exec my-container nc -zv db 5432
docker exec my-container wget -qO- http://api:3000/health
# If curl/ping not available in container, install or use a debug container:
docker run --rm --network container:my-container curlimages/curl curl -s http://localhost:8080
Common networking issues
# "Connection refused" between containers
# 1. Check the app binds to 0.0.0.0, not 127.0.0.1
docker exec my-container netstat -tlnp
# If listening on 127.0.0.1 — fix the app config
# 2. Check containers are on the same network
docker inspect -f '{{json .NetworkSettings.Networks}}' container-a | jq 'keys'
docker inspect -f '{{json .NetworkSettings.Networks}}' container-b | jq 'keys'
# 3. Check published ports vs exposed ports
# EXPOSE only documents, it doesn't publish
# Use -p host:container to publish
# "Name not found" — DNS not resolving container names
# Container names resolve only on user-defined networks, NOT the default bridge
docker network create my-net
docker run --network my-net --name api my-api-image
docker run --network my-net --name db postgres
# Now "api" and "db" resolve to each other
Capture network traffic
# tcpdump inside a container
docker exec my-container tcpdump -i eth0 -n port 8080
# If tcpdump not available, use a sidecar
docker run --rm --net=container:my-container nicolaka/netshoot tcpdump -i eth0 -n
# netshoot has: tcpdump, curl, nslookup, netstat, iperf, etc.
docker run --rm --net=container:my-container nicolaka/netshoot bash
Resource Usage
Real-time stats
# All containers
docker stats
# Specific containers
docker stats api db redis
# One-shot (no streaming)
docker stats --no-stream
# Formatted output
docker stats --format "table {{.Name}}\t{{.CPUPerc}}\t{{.MemUsage}}\t{{.NetIO}}"
Memory investigation
# Check memory limit
docker inspect --format='{{.HostConfig.Memory}}' my-container
# 0 means unlimited
# Check if container was OOM-killed
docker inspect --format='{{.State.OOMKilled}}' my-container
# Memory usage breakdown (Linux cgroups)
docker exec my-container cat /sys/fs/cgroup/memory.current 2>/dev/null || \
docker exec my-container cat /sys/fs/cgroup/memory/memory.usage_in_bytes
# Process memory inside container
docker exec my-container ps aux --sort=-%mem | head -10
docker exec my-container top -bn1
Disk usage
# Overall Docker disk usage
docker system df
docker system df -v
# Container filesystem size
docker inspect --format='{{.SizeRw}}' my-container
# Find large files inside container
docker exec my-container du -sh /* 2>/dev/null | sort -rh | head -10
docker exec my-container find /tmp -size +10M -type f
# Check for log file bloat
docker exec my-container ls -lh /var/log/
Dockerfile Debugging
Multi-stage build debugging
# Build up to a specific stage
docker build --target builder -t my-app:builder .
# Inspect what's in the builder stage
docker run --rm -it my-app:builder sh
docker run --rm my-app:builder ls -la /app/
docker run --rm my-app:builder cat /app/package.json
# Check which files made it to the final image
docker run --rm my-image ls -laR /app/
# Build with no cache (fresh build)
docker build --no-cache -t my-app .
# Build with progress output
docker build --progress=plain -t my-app .
Image inspection
# Show image layers (size of each)
docker history my-image
docker history --no-trunc my-image
# Inspect image config (entrypoint, cmd, env, ports)
docker inspect my-image | jq '.[0].Config | {Cmd, Entrypoint, Env, ExposedPorts, WorkingDir}'
# Compare two images
docker history image-a --format "{{.Size}}\t{{.CreatedBy}}" > layers-a.txt
docker history image-b --format "{{.Size}}\t{{.CreatedBy}}" > layers-b.txt
diff layers-a.txt layers-b.txt
# Find what changed between builds
docker diff my-container
# A = added, C = changed, D = deleted
Health Checks
Define and debug health checks
# In Dockerfile
HEALTHCHECK --interval=30s --timeout=10s --start-period=60s --retries=3 \
CMD curl -f http://localhost:8080/health || exit 1
# Check health status
docker inspect --format='{{.State.Health.Status}}' my-container
# "healthy", "unhealthy", or "starting"
# See health check log (last 5 results)
docker inspect --format='{{json .State.Health}}' my-container | jq
# Run health check manually
docker exec my-container curl -f http://localhost:8080/health
# Override health check at run time
docker run --health-cmd "curl -f http://localhost:8080/health || exit 1" \
--health-interval 10s my-image
# Disable health check
docker run --no-healthcheck my-image
Docker Compose Debugging
Service startup issues
# Check service status
docker compose ps
# See why a service failed
docker compose logs failed-service
# Start with verbose output
docker compose up --build 2>&1 | tee compose.log
# Start a single service (with dependencies)
docker compose up db
# Start without dependencies
docker compose up --no-deps api
# Recreate containers from scratch
docker compose up --force-recreate --build
# Check effective config (after variable substitution)
docker compose config
Service dependency and startup order
# docker-compose.yml
services:
api:
depends_on:
db:
condition: service_healthy
redis:
condition: service_started
db:
image: postgres:16
healthcheck:
test: ["CMD-SHELL", "pg_isready -U postgres"]
interval: 5s
timeout: 5s
retries: 5
redis:
image: redis:7
healthcheck:
test: ["CMD", "redis-cli", "ping"]
interval: 5s
timeout: 5s
retries: 5
# Wait for a service to be healthy before running commands
docker compose up -d db
docker compose exec db pg_isready # Polls until ready
docker compose up -d api
Cleanup
# Remove stopped containers
docker container prune
# Remove unused images
docker image prune
# Remove everything unused (containers, images, networks, volumes)
docker system prune -a
# Remove volumes too (WARNING: deletes data)
docker system prune -a --volumes
# Remove dangling build cache
docker builder prune
Tips
docker logs -fis the first thing to check. Most container failures are visible in the logs.- Exit code 137 means OOM-killed. Increase the memory limit or fix the memory leak.
- Apps inside containers must bind to
0.0.0.0, not127.0.0.1. Localhost inside a container is isolated. - Container names only resolve via DNS on user-defined networks, not the default
bridge. Always create a custom network for multi-container setups. docker execonly works on running containers. For crashed containers, usedocker cpto extract logs or override the entrypoint withdocker run --entrypoint sh.nicolaka/netshootis the Swiss Army knife for container networking. It has every networking tool pre-installed.--progress=plainduring builds shows full command output, which is essential for debugging build failures.- Health checks with
start-periodprevent false unhealthy status during slow application startup.