Your staging metrics
are a black box.
Not anymore.

CohortOps groups your pre-production metrics into cohorts. Compare deployments, catch regressions, and ship with confidence. AI-powered analysis that turns staging noise into signal.

73%
Regressions caught
before production
4min
Avg time to
identify root cause
0
Config required
OTel-native

How it works

Cohort-based staging intelligence

Stop treating staging like a lesser production. It's a different beast. CohortOps is purpose-built for pre-production environments.

Cohort Comparison

Group metrics by deploy, branch, team, or time window. See exactly what changed and what regressed between any two cohorts.

AI Anomaly Detection

Staging data is noisy. Our AI separates genuine regressions from expected variance, so you only see what matters.

OpenTelemetry Native

Drop in your OTel collector endpoint. No proprietary agents, no SDK changes. If you emit traces and metrics, we ingest them.

Branch-Aware Context

CohortOps understands your git context. Compare feature branch metrics against main without manual tagging.

Team Views

Each team sees their own staging health. No more "whose deploy broke staging?" guessing games.

Pre-Deploy Verdict

Before you promote to production, get a confidence score. AI evaluates your staging cohort against historical baselines.


The shift

Staging deserves its own tooling

You wouldn't use a hammer as a screwdriver. Why use production monitoring for staging?

What changes with CohortOps

$23/host for staging monitoring
Purpose-built pricing for pre-prod
Alert fatigue from noisy staging data
AI filters noise, surfaces regressions
"It works on staging" with no proof
Quantified confidence scores per deploy
Manual comparison across environments
Automatic cohort diffs in seconds

The gap between merge and deploy
is where regressions hide.

CohortOps illuminates it.