Can I debug network issues between containers?

Yes, the skill includes patterns for using tools like nslookup, ping, and specialized debug containers like netshoot to verify DNS and connectivity within Docker networks.

Is this skill suitable for production environments?

Yes, it is specifically designed for production-grade troubleshooting and includes non-destructive inspection techniques and best practices for diagnosing live issues safely.

How does this skill help with container crashes?

It provides specific commands to inspect exit codes, pull relevant log fragments, and trace events to identify if the crash was due to memory limits (OOM), segmentation faults, or application errors.

Does it support health check troubleshooting?

Absolutely, it includes commands to view detailed health check logs and manually test endpoints to verify why a container is marked as unhealthy.

Docker Debugging

Name: Docker Debugging
Author: pluginagentmarketplace

bypluginagentmarketplace

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Despliegue y DevOps

Diagnose and resolve containerized application issues including crashes, networking failures, and resource constraints within Docker environments.

Acerca de

This skill empowers developers and DevOps engineers to efficiently troubleshoot Docker containers in both development and production environments. It provides specialized guidance for analyzing container logs, performing interactive shell debugging, interpreting exit codes like OOMKilled, and diagnosing complex network or health check failures. By integrating advanced tools like netshoot and deep inspection commands, it streamlines the identification of root causes for crashes and performance bottlenecks, ensuring higher uptime and more resilient container orchestration.

Características Principales

Network connectivity testing and DNS resolution troubleshooting in isolated networks
Automated diagnosis of exit codes, OOM errors, and health check failures
1 GitHub stars
Interactive container execution and root-level shell debugging patterns
Advanced log analysis with time-range filtering and real-time tailing
Real-time resource monitoring and performance bottleneck detection

Casos de Uso

Analyzing slow application performance by monitoring live container resource statistics
Investigating why a production container is crashing with an exit code 137 (OOMKilled)
Debugging inter-service communication issues and DNS failures within a Docker network

Acerca de

Características Principales

Network connectivity testing and DNS resolution troubleshooting in isolated networks
Automated diagnosis of exit codes, OOM errors, and health check failures
1 GitHub stars
Interactive container execution and root-level shell debugging patterns
Advanced log analysis with time-range filtering and real-time tailing
Real-time resource monitoring and performance bottleneck detection

Casos de Uso

Analyzing slow application performance by monitoring live container resource statistics
Investigating why a production container is crashing with an exit code 137 (OOMKilled)
Debugging inter-service communication issues and DNS failures within a Docker network