GopherCon India talk - Go faster: optimizing Go programs
Datadog | The Monitor blog

GopherCon India talk - Go faster: optimizing Go programs


Summary

The article details how the authors diagnosed a significant memory regression introduced in Go 1.24 impacting their Kubernetes infrastructure. They used a combination of observability tools – including Prometheus, Grafana, and custom tracing – to pinpoint the issue to a change in the Go runtime's memory allocator, specifically related to large object handling. Ultimately, they collaborated with the Go team to identify and resolve the problem, demonstrating a robust approach to debugging performance regressions in distributed systems.
Read the Original Article

This article originally appeared on Datadog | The Monitor blog.

Read Full Article on Original Site

Popular from Datadog | The Monitor blog

1
Understand session replays faster with AI summaries and smart chapters
Understand session replays faster with AI summaries and smart chapters

Datadog | The Monitor blog Apr 2, 2026 33 views

2
Datadog achieves ISO 42001 certification for responsible AI
Datadog achieves ISO 42001 certification for responsible AI

Datadog | The Monitor blog Mar 26, 2026 29 views

3
Analyzing round trip query latency
Analyzing round trip query latency

Datadog | The Monitor blog Mar 27, 2026 27 views

4
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 24 views

5
Introducing our open source AI-native SAST
Introducing our open source AI-native SAST

Datadog | The Monitor blog Apr 10, 2026 23 views