The article aims to provide a comprehensive primer on Go memory metrics, helping engineers diagnose and resolve memory issues in their applications. It covers the basics of Go application memory, including process memory and kernel memory, as well as how to analyze Go memory usage using various tools and techniques such as profiling, heap profiling, and goroutine profiling. The article also discusses new APM runtime metrics dashboards that provide a breakdown of memory usage, making it easier for developers to monitor and diagnose memory issues in their applications. By understanding these concepts and tools, engineers can better manage the memory usage of their Go applications and resolve common memory-related issues such as memory leaks and OOM kills.