Logs provide a detailed record of events, errors, or actions happening within applications, servers, and systems. They help developers and operations teams monitor systems, diagnose problems, and optimize performance.
However, manually sifting through large volumes of log data is time-consuming and inefficient. This is where Python comes into play. Python’s simplicity, combined with its powerful libraries, makes it an excellent tool for automating and improving the log analysis process. Continue reading “How to Use Python for Log Analysis in DevOps”