Explore high-cardinality trace data with App Analytics
Datadog | The Monitor blog

Explore high-cardinality trace data with App Analytics


Summary

This article discusses a new approach to debugging and understanding full-stack applications by unifying frontend and backend data through "retention filters." These filters allow developers to tie specific user actions in the frontend to the corresponding server-side events, even across long timeframes. This provides a more holistic view of application behavior, making it easier to pinpoint the root cause of issues and improve performance.
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 79 views

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

Datadog | The Monitor blog May 25, 2016 71 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 70 views