Container Debugging
Table of Contents
Overview
Container debugging focuses on issues within Docker/Kubernetes environments including resource constraints, networking, and application runtime problems.
When to Use
- Container won't start
- Application crashes in container
- Resource limits exceeded
- Network connectivity issues
- Performance problems in containers
Quick Start
Minimal working example:
# Check container status
docker ps -a
docker inspect <container-id>
docker stats <container-id>
# View container logs
docker logs <container-id>
docker logs --follow <container-id> # Real-time
docker logs --tail 100 <container-id> # Last 100 lines
# Connect to running container
docker exec -it <container-id> /bin/bash
docker exec -it <container-id> sh
# Inspect container details
docker inspect <container-id> | grep -A 5 "State"
docker inspect <container-id> | grep -E "Memory|Cpu"
# Check container processes
docker top <container-id>
# View resource usage
docker stats <container-id>
# Shows: CPU%, Memory usage, Network I/O
// ... (see reference guides for full implementation)Reference Guides
Detailed implementations in the references/ directory:
| Guide | Contents |
|---|---|
| Docker Debugging Basics | Docker Debugging Basics |
| Common Container Issues | Common Container Issues |
| Container Optimization | Container Optimization |
| Debugging Checklist | Debugging Checklist |
Best Practices
✅ DO
- Follow established patterns and conventions
- Write clean, maintainable code
- Add appropriate documentation
- Test thoroughly before deploying
❌ DON'T
- Skip testing or validation
- Ignore error handling
- Hard-code configuration values