container-debugging
Debug Docker containers and containerized applications. Diagnose deployment issues, container lifecycle problems, and resource constraints.
What this skill does
# Container Debugging ## Table of Contents - [Overview](#overview) - [When to Use](#when-to-use) - [Quick Start](#quick-start) - [Reference Guides](#reference-guides) - [Best Practices](#best-practices) ## 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: ```bash # 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](references/docker-debugging-basics.md) | Docker Debugging Basics | | [Common Container Issues](references/common-container-issues.md) | Common Container Issues | | [Container Optimization](references/container-optimization.md) | Container Optimization | | [Debugging Checklist](references/debugging-checklist.md) | 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
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