CohortBeam gives productivity teams AI-powered cohort analysis on staging metrics. Catch regressions, anomalies, and metric drift before they reach production.
Production observability is solved. Staging observability is not.
Group staging metrics by deployment, feature flag, or team. See how each cohort's performance diverges from baseline before merging to main.
Machine learning models trained on your staging patterns surface regressions that static thresholds miss. No alert fatigue, just signal.
Drop-in OTLP ingestion. Point your existing staging instrumentation at CohortBeam. No SDK changes, no vendor lock-in.
Correlate staging health with deploy velocity. Know when environment instability is the bottleneck slowing your team down.
The most expensive bugs are the ones you could have caught in staging, if anyone was watching.