Microservices architecture, which breaks down applications into independent, fine-grained components, presents unique challenges in logging that can complicate the tracking of transactions across multiple services. As companies increasingly transition from monolithic applications to microservices, effective logging becomes crucial due to the inherent difficulties in monitoring distributed systems. Key practices include implementing application instance identifiers and using UTC time for log entries to maintain consistency and traceability, as well as generating unique request identifiers for tracking logical transactions. Utilizing aggregation tools, such as the ELK stack, is essential for grouping and querying logs from various microservices, enabling better visualization and analysis of log data. These strategies aim to enhance the understanding and management of logs in a microservices environment, though ongoing innovation and shared insights are encouraged to refine these practices further.