Datadog has introduced a Memory Leaks section in its Service Catalog pages to help developers investigate and resolve memory-related issues with their containerized applications. This new feature centralizes data collected via Datadog's integrations and Continuous Profiler, providing a guided investigation workflow that walks users through the process of identifying and resolving memory leaks. By using this feature, developers can quickly identify the root cause of memory leaks and remediate them, improving service health and reducing downtime. The Memory Leaks section provides visualizations of specific data tailored to help users identify whether their application is experiencing a memory leak, including RSS (retained set size) for all pods in the environment and graphs of active goroutines running on selected pods. Additionally, Datadog's source code integration allows developers to easily see where changes need to be made to fix the problem.