The same question, for the teams who feel it first.
Before a risky change meets production, prove it on a disposable twin. Built for teams who already feel migration anxiety, staging drift, and release incidents.
- 20 to 300
engineers, at fast-growing SaaS and internet companies rather than at regulated enterprises.
- Postgres
backed applications with enough production data that toy fixtures are misleading.
- Daily / weekly
production deploys, a real CI/CD process, and a platform engineer who owns reliability.
Cloud-native or containerized · customer-hosted agent · history of migration anxiety · production-shaped traffic
Teams. Postgres, frequent deploys, and a platform engineer who owns reliability.
- Seats · billing · rare rowsB2B SaaS
Daily deploys, expanding schemas, and staging that drifted years ago. Tenant-shaped state without production identities.
Open - Stripe offline · fail closedFintech
Billing, ledgers, and side effects that must never hit live processors. A stateful Stripe pack, not the production API.
Open - Workers · webhooks capturedMarketplaces
Queues, workers, dual-writes, and matching logic staging never reproduces. Timing is the bug.
Open - Locks · rewrites · plansDeveloper tools
Schema changes on large tables. Users notice p99 immediately. Locks, rewrites and plan regressions show up here first.
Open
Know what happens before you deploy.
Create a disposable production twin for every risky change. Catch migration failures before they reach customers.