Logs are a critical component of any application or system. They contain valuable information that can help developers troubleshoot issues and improve performance. However, analyzing logs manually can be daunting, especially if there are large volumes of logs to sift through.
Back in the day, when I was still a QA engineer (how I became a Python developer here), I was in this situation a lot and needed to figure out a way to AUTOMATE the parsing/analyzing process.
That’s a perfect opportunity to build your own log parsing tool in Python! 🔥
Recently I happened to run into a similar situation where it made sense to write my own log parsing tool in Python.
In this article, we’ll explore how you can build a log parsing tool in Python and the benefits of using Python for log parsing.
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