/plushcap/analysis/datadog/go-memory-metrics

Go memory metrics demystified

What's this blog post about?

This article provides a comprehensive guide on understanding and diagnosing memory issues in Go applications. It covers an overview of Go application memory, how to analyze Go memory usage, and new APM runtime metrics dashboards. The article breaks down process memory into Go memory (managed by the Go runtime) and non-Go memory (allocated using cgo or syscalls). It also explains how to estimate physical Go memory usage and provides a simplified list of newer memory metrics that can be mapped to older MemStats metrics. Furthermore, it discusses heap profiling and goroutine profiling as methods for breaking down heap usage and identifying oversized goroutine pools, respectively. The article concludes with tips on using runtime metrics to resolve memory issues and recommends referring to the official documentation for more information about Go garbage collection and memory optimization.

Company
Datadog

Date published
Jan. 26, 2024

Author(s)
Felix Geisendörfer

Word count
1771

Hacker News points
3

Language
English


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