Unify security operations with standardized logging using Datadog Observability Pipelines and Amazon Security Lake
Datadog | The Monitor blog

Unify security operations with standardized logging using Datadog Observability Pipelines and Amazon Security Lake


Summary

The Datadog Observability Pipelines feature allows users to filter, transform, and route AWS log data before it's ingested into Datadog, significantly reducing logging costs. By dropping unnecessary logs and processing data closer to the source, users can lower their Datadog bill without sacrificing crucial observability. This offers a more granular and efficient approach to log management compared to simply reducing retention periods.
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 25 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