Leveraging tools like Dynatrace Live Debugger, OpenPipeline, and OpenTelemetry can significantly enhance the process of tackling complex performance issues, such as high CPU load in applications. This use case demonstrates how teams can troubleshoot and debug issues across various environments without needing code changes or redeployments. The process begins with OpenPipeline ingesting data and Davis AI detecting a problem, which is then investigated using Live Debugger to inspect code-level details and non-breaking breakpoints. By examining local variables, server processes, and threads, developers can identify the root cause, such as background threads consuming excessive CPU resources. Additionally, Distributed Tracing provides a comprehensive view of the end-to-end transaction, allowing for an in-depth analysis of specific functions like GetAds, where issues are suspected. This approach showcases the robust capabilities of Dynatrace in streamlining debugging workflows, allowing for thorough data analysis from multiple angles, and facilitating an efficient resolution process without the complexities of production permissions or extensive issue reproductions. Dynatrace Live Debugger is expected to become generally available soon, offering a practical tutorial for users.