When managing infrastructure or applications, logging is crucial to understand what's happening within environments. However, teams often make mistakes when deciding what to log, how to log it, and how to work with their log data. Common errors include ignoring important logs, failing to collect ephemeral logs, misconfiguring log levels, only using command line tools for log analysis, retaining logs indefinitely, storing them inefficiently, and not adapting the log management strategy as the environment changes. These mistakes can lead to observability blindspots, poor visibility, and wasted resources. To improve logging efficiency and effectiveness, teams should collect all relevant logs, set strategic log levels, use full-scale log management tools, retain logs based on specific criteria, store them efficiently, and continuously evaluate and update their strategy as needed.