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. Understanding Logs in DevOps Logs are generated by systems or applications to provide a record of events and transactions. They play a significant role in the continuous integration and deployment (CI/CD) process in DevOps, helping teams track activities and resolve issues in real-time. Common log types include: Application logs : Capture details about user interactions, performance, and errors within an application. System logs : Provide insight into hardware or operating system-level activities. Serv...