Generate process metrics to analyze historical trends in resource consumption
Datadog | The Monitor blog

Generate process metrics to analyze historical trends in resource consumption


Summary

This article details how Netflix improved the efficiency of collecting and analyzing live process metrics by 100x. They achieved this by shifting from collecting detailed, high-cardinality data to focusing on aggregated summaries and statistical sketches, reducing data volume without significantly impacting observability. This "scaling down" approach allowed for faster processing, improved alerting, and better overall system performance monitoring.
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
Datadog achieves ISO 42001 certification for responsible AI
Datadog achieves ISO 42001 certification for responsible AI

Datadog | The Monitor blog Mar 26, 2026 28 views

2
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 23 views

3
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 21 views

4
Platform engineering metrics: What to measure and what to ignore
Platform engineering metrics: What to measure and what to ignore

Datadog | The Monitor blog Apr 9, 2026 19 views

5
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM
Integrate Recorded Future threat intelligence with Datadog Cloud SIEM

Datadog | The Monitor blog Apr 9, 2026 19 views