PreShip is the observability layer for staging environments. Cohort-based metrics comparison, AI-powered regression detection, and team-wide visibility into pre-production health.
Teams run Datadog in staging and get a $40K bill for an environment nobody monitors. Or they skip it entirely and find regressions in production. PreShip is the third option.
Compare this deploy against the last 5. See exactly what changed in latency, error rates, and resource consumption at a glance.
Automated anomaly detection that learns your staging patterns. Surface performance drift before it becomes a production incident.
Every engineer on the team sees the same staging health dashboard. No per-seat pricing walls. Ship with confidence as a team.
Drop in via OTLP. If you already have instrumentation, PreShip ingests it with zero config changes. Staging-first, not staging-bolted-on.
One environment variable. Your existing instrumentation does the rest.
PreShip automatically creates a cohort for each deploy and starts comparing.
Slack alerts and dashboard flags when a deploy introduces regressions.
PreShip exists because pre-production deserves its own observability, not hand-me-downs from production tooling.