Implementing effective logging in application architecture is crucial for gaining insights into specific events, understanding their timing, and diagnosing root causes. To achieve useful logs, it is important to have a clear goal for logging, decide on what data to log to avoid unnecessary noise and costs, and choose a suitable logging framework that offers ease of use and community support. Standardizing logs helps in consistent analysis, with proper formatting—such as JSON or key-value pairs—ensuring readability for both humans and machines. Providing context and unique identifiers in log messages enhances the ability to trace and understand events across complex architectures. Organizations often overlook strategic planning in logging, leading to inefficient and costly data handling, underscoring the importance of adhering to best practices from the start.