You’ve probably been in the situation where you need to find that one critical error in your server logs after deployment—only to spend an hour manually scanning through thousands of lines of text. I’ve been there too. As a developer working with multiple services, I’d spend 30+ minutes per deployment just identifying 500+ HTTP 500 errors in Nginx logs. That’s time better spent fixing actual bugs, not hunting for them. That’s why I built Server Log Analyzer —a lightweight Python script that scans your server logs for critical errors and generates actionable insights in seconds. It’s not a fancy tool; it’s a simple automation that solves a real pain point for developers who deal with log files daily. The script works by parsing common log formats (like Nginx access logs), filtering for HTTP errors (4xx/5xx), and tallying patterns that help you prioritize fixes. No fancy dependencies—just Python and your log files. Here’s how it works in practice.…