For platform engineering teams

Your staging environment is a black box. Not anymore.

StageRadar applies cohort analysis to your staging metrics. Compare build quality across branches, teams, and deploys. Catch regressions before they ship.

73%
of regressions originate in staging
4.2h
avg time lost to staging flakiness per dev/week
0
tools built specifically for staging observability

Intelligence where it matters most

Production observability is solved. Staging is where teams are still flying blind.

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Cohort-Based Metrics

Group staging signals by feature branch, squad, deploy candidate, or time window. See which cohorts degrade and why.

⚡

AI Anomaly Detection

Automatically flag staging regressions before they reach code review. Pattern recognition across your pre-production history.

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OpenTelemetry Native

Drop-in integration with your existing OTel pipeline. No new agents, no SDK changes. Just add the StageRadar exporter.

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Deploy Confidence Score

A single number that tells you whether this build is safe to promote. Based on historical staging cohort performance.

Three minutes to first insight

01

Connect your pipeline

Point your OTel collector at StageRadar. Works with GitHub Actions, GitLab CI, or any CI/CD.

02

Define your cohorts

Group by branch, team, service, or custom dimensions. StageRadar auto-suggests based on your repo structure.

03

Watch the signals

Real-time dashboards show cohort health. AI alerts fire when a branch starts degrading relative to baseline.

Staging is the last unobserved frontier in your pipeline

Every production incident started as a staging signal nobody saw. StageRadar makes those signals impossible to miss.