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Accelerate incident investigations with Log Anomaly Detection

Blog post from Datadog

Post Details
Company
Date Published
Author
Nicholas Thomson, Samir Brizini
Word Count
857
Company Posts That Month
31
Language
English
Hacker News Points
-
Post removed?
No
Summary

Datadog has introduced Log Anomaly Detection, an out-of-the-box Watchdog Insights feature that automates the process of finding relevant logs during incident investigations. This feature surfaces anomalous patterns at the top of the Log Explorer, reducing mean time to resolve (MTTR) and saving teams time and effort. By leveraging augmented insights, distributed teams can navigate growing volumes of complex data to efficiently investigate incidents without requiring prior knowledge of impacted applications. The feature fits seamlessly into Datadog's broader constellation of Log Management tools, breaking down silos between DevOps teams. With Log Anomaly Detection, teams can streamline incident investigations, reduce MTTR, and document lessons learned by enriching postmortems with historical anomaly data.

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