Skip to content
container-debugging logo

Container Debugging

container-debugging

Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.

SKILL.md

Full skill instructions

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:

GuideContents
Docker Debugging BasicsDocker Debugging Basics
Common Container IssuesCommon Container Issues
Container OptimizationContainer Optimization
Debugging ChecklistDebugging 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