CohortBeam gives productivity teams AI-powered observability for staging environments. Group metrics by team cohort, compare against production baselines, catch regressions before they ship.
Tests tell you if code works. Production monitoring tells you if it's healthy. Nothing tells you what's happening in staging. Until now.
Group staging metrics by team, service, or deploy cohort. Each team sees their own health dashboard without noise from other services.
Automatically compare staging metric patterns against production baselines. Flag drift and anomalies before they become incidents.
Integrate with your CI/CD pipeline. Block deploys when staging metrics deviate from acceptable thresholds. Ship with confidence.
Zero proprietary instrumentation. If your staging emits OTel signals, CohortBeam ingests them. Add one line, get full visibility.
One endpoint change. Your staging services start emitting to CohortBeam alongside whatever else they emit to.
Group by team, service, feature branch, or deploy tag. Each cohort gets isolated views and independent alerting.
AI compares your staging cohort against the production baseline. Green means ship. Red means investigate. No guessing.
CohortBeam is what happens when you give staging the same rigor as production, but designed for the teams who actually deploy there.