Docker logging is a crucial aspect of managing containerized applications, offering insights into application performance and aiding in debugging. Unlike traditional systems, Docker's stateless and transient nature makes logging more complex, with logs stored on the Docker host and typically managed using the default json-file logging driver. Docker supports various logging strategies such as application logging, data volumes, and diverse logging drivers, including third-party services like Splunk and Fluentd. However, it faces limitations like the inability to support multiple logging drivers simultaneously and the risk of potential log loss with drivers like Docker Syslog. The docker logs command is limited to certain drivers, and multi-line logs are not supported, which can impact log analysis. To optimize logging, careful configuration and strategies are necessary, with options like dedicated logging containers and sidecar logging containers providing more granular control. The complexities of Docker logging underscore the need for teams to fully understand Docker's capabilities to maintain efficient and reliable logging infrastructures.