The article emphasizes the importance of proactive application logging to enhance both operational efficiency and business decision-making. It argues that relying solely on infrastructure logging, such as from networking devices or operating systems, is insufficient because application-specific logs offer deeper insights. Key types of logs to collect include those related to authentication, changes, availability, resources, and threats, with logs categorized by severity levels from debug to critical. The true value of logging lies in its ability to foresee issues rather than just react to them, making it crucial to gather logs with "info" and "warning" levels for comprehensive analysis. This approach not only helps in preventing operational problems but also in driving business performance through data-powered decisions. Utilizing tools that incorporate AI can further transform log data into actionable insights, making the most of the information already available to businesses.