Staging deserves observability too

Catch it in staging.
Before production catches you.

AI-powered observability built for pre-production environments. Cohort metrics by team, branch, and deploy. Know what's breaking before your users do.

4h+
Avg resolution time saved
73%
Bugs caught pre-prod
< 2min
Setup with OpenTelemetry

Built for staging. Not retrofitted.

Production tools treat staging as an afterthought. Stagewise is designed from the ground up for pre-production workflows.

Cohort Analysis

Group staging metrics by team, feature branch, or deployment version. See which cohorts are introducing regressions before merge.

AI Anomaly Detection

Automatic regression detection across latency, error rates, and resource usage. Stagewise learns your baseline and flags drift in real-time.

📈

Deployment Health Scores

Every staging deploy gets a confidence score. Red means don't ship. Green means go. No more gut feelings about production readiness.

🔗

OpenTelemetry Native

Drop-in compatibility with your existing OTel instrumentation. Point your staging collector at Stagewise and see cohort insights in minutes.


How it works

1

Connect your staging telemetry

Point your OpenTelemetry collector at Stagewise. Works with any language, any framework. Two-line config change.

2

Stagewise learns your patterns

AI builds a baseline from your staging metrics. Understands normal variance vs. meaningful regression across your cohorts.

3

Ship with confidence

Get health scores before every production deploy. Know exactly which team's changes introduced risk, and what they broke.

Production fires start in staging.

Every outage that makes it to production passed through staging first. Stagewise is the last line of defense that actually watches. The question isn't whether you can afford staging observability. It's whether you can afford not to have it.