The text discusses the challenges of diagnosing memory-related issues in containerized applications, particularly those caused by memory leaks, which can lead to crashes and increased latency. It highlights Datadog's new Memory Leaks section in the Service Catalog, which aids in the investigation of these issues by centralizing telemetry data and providing a guided workflow. This feature allows developers to visualize memory usage, identify outliers, and analyze trends using tools like flame graphs and overlays for OOM (Out-Of-Memory) kills. A detailed example is provided for a service written in Go, demonstrating how the process helps in pinpointing the source of a leak, such as a misconfigured cache, thereby facilitating quicker remediation. The conclusion emphasizes the benefits of using Datadog's Memory Leaks workflow to improve service health and invites users to explore its capabilities through a free trial.