🤖 How AI Can Revolutionize Your Linux Server Troubleshooting

The days of spending hours debugging cryptic Unix errors are over. Modern AI tools can act as your intelligent troubleshooting companion, dramatically reducing Mean Time to Recovery (MTTR) and turning complex system issues into manageable fixes. Best Practices & Safety Guidelines ✅ Do’s Always verify AI suggestions before running destructive commands Provide context - include OS version, error logs, and system specs Use AI for learning - ask “why” to understand the reasoning Combine AI with monitoring - use AI to interpret your metrics Keep security in mind - don’t share sensitive information Test in staging first - especially for configuration changes ❌ Don’ts Don’t blindly execute commands without understanding them Don’t share secrets - passwords, API keys, private configs Don’t skip verification - AI can hallucinate or suggest outdated solutions Don’t rely solely on AI - combine with official documentation Don’t ignore system context - ensure commands match your environment 1. The Traditional Pain Points Traditional Unix troubleshooting often involves: ...

August 30, 2025 · 11 min · 2173 words · Pankaj Yelulkar

Getting Started with Infrastructure as Code using Terraform

Learn the fundamentals of Infrastructure as Code and how to get started with Terraform to manage your cloud resources efficiently.

August 22, 2025 · 2 min · 293 words · Pankaj Yelulkar