Ever spent hours manually sifting through hundreds of thousands of server logs to find the root cause of a production error? I have. As a developer, I've been burned by the time it takes to parse logs for common issues like 500 errors or slow requests. That's why I built a tiny Python script to automate log analysis for Nginx logs. This tool is designed to be super simple: it reads your server logs (in the standard Nginx format), calculates error rates, identifies slow requests, and outputs a summary report. It's not a full-blown analytics platform, but it's a quick win for day-to-day log inspection. Here's how it works: First, we'll parse the log lines. We use a regex to extract the key fields: import re # Regex pattern for Nginx logs (simplified) LOG_PATTERN = r ' ^(?P<ip>\S+) - - \[(?P<time>\S+)\] " (?P<method>\S+) (?P<url>\S+) (?P<status>\d{3}) ' # But note: real Nginx logs are more complex. Let's use a common one for this example.…