Add more context to Cloud SIEM detections and investigations with Datadog Reference Tables
Datadog | The Monitor blog

Add more context to Cloud SIEM detections and investigations with Datadog Reference Tables


Summary

The article discusses how Observability Pipelines in Google Cloud can significantly simplify the process of collecting and processing complex XML logs. By leveraging a no-code interface and built-in parsers, Pipelines eliminate the need for custom scripting and allow users to easily extract valuable data from XML logs for better monitoring and analysis. This ultimately leads to faster troubleshooting and improved observability without the overhead of managing complex log processing infrastructure.
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