Atlassian Automates Root Cause Analysis by Correlating Metrics, Logs and Traces
Atlassian automates what ops teams spend weeks on: root cause analysis. Correlates metrics, logs, traces, and topology into ranked hypotheses.
Why it matters
A practical feature for DevOps and SRE practitioners managing cloud-native incidents at scale. Automation of incident response workflow using observable data correlation.
The key facts
8 to knowAtlassian shipping automated root cause analysis (RCA) capability
Correlates metrics, logs, distributed traces, and service topology
Generates ranked hypotheses for failure origin and propagation
Targets large-scale cloud-native incident response
Observable data correlation as the core mechanism
Atlassian approach correlates metrics, logs, distributed traces, and service topology
Target use case: large-scale cloud-native incidents
Automates root cause analysis (RCA) workflow
Go to the source
InfoQ AI/MLinfoq.com
Publisher excerpt: Atlassian has outlined a new approach to automating root cause analysis for large-scale cloud-native incidents, using correlation across metrics, logs, distributed traces, and service topology to generate ranked hypotheses about where failures originate and how they propagate. By Craig Risi