Add dynamically updating context to logs with Reference Tables and Observability Pipelines
Datadog | The Monitor blog

Add dynamically updating context to logs with Reference Tables and Observability Pipelines


Summary

Datadog Observability Pipelines utilizes Reference Tables to centrally enrich logs with real-time metadata from external sources like Snowflake, ServiceNow, and cloud storage before data reaches downstream tools. This feature eliminates the need for manual correlation and duplicate lookups by attaching fresh context to both live and archived data. Ultimately, this allows teams to implement more intelligent and cost-effective data routing based on enriched attributes such as threat levels or asset ownership.
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 LLM Observability natively supports OpenTelemetry GenAI Semantic Conventions
2
Introducing Bits AI Dev Agent for Code Security
Introducing Bits AI Dev Agent for Code Security

Datadog | The Monitor blog Mar 26, 2026 77 views

3
Monitoring MongoDB performance metrics (MMAP)
Monitoring MongoDB performance metrics (MMAP)

Datadog | The Monitor blog May 25, 2016 70 views

4
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 69 views