Rapid Root Cause Analysis for Distributed Systems
With unlimited cardinality and a high-fidelity dataset uncompromised by head or tail sampling, Correlations reveal issues unavailable to conventional monitoring solutions. This includes extreme outliers, low-frequency events, and performance issues related to any specific tag, trace, service, geography, release version, operation, or individual customer.
Streamline incident resolution
When you’re trying to rapidly restore service — and time is of the essence — how do you separate good hypotheses from bad ones?
By revealing the relationship between system attributes and performance, Correlations immediately rules out signals (and related hypotheses) that are not along the critical path.
This allows you to focus on work that is likely to restore service, while simultaneously eliminating unnecessary disruption to teams who are not needed for incident resolution, but might otherwise have been involved.