Keep shipping as your database grows.
Rehearse schema changes and account workflows on a masked copy of your data.
Keep tenant relationships and unusual billing states in your tests.
Checkout and seat changes run against sanitized accounts.
- Account identifiers replaced inside the customer boundary.
- Referential subset of orgs, seats, subscriptions, invoices.
- Long-tail and malformed historical seats kept when the parent is kept.
- helix dropped. Children follow parent.
- Tokens hashed. Live sessions dropped.
Checkout and seat changes against sanitized accounts.
Tenant-shaped state. Referential subsets of accounts, seats, and billing without production identities.
Checkout and upgrades. Critical workflows under production-shaped concurrency.
Schema coexistence. Old application instances still running while the new column lands.
- Deploys
- Daily
- Tenants
- Rare states
- Schema
- Old + new
Test the conditions your next release will meet.
Unit, integration, and a manual staging check. A change can pass all three and still fail in production.
Data, traffic, and release compatibility. Bring those checks into one environment and review the result on your pull request.
Old + new. Run the previous release against the new schema to catch incompatible reads before deployment.
Pass, warning, or block on the pull request, then destroy the twin.
Restore. The subset comes back first, so every step after it runs against rows that still join.
Mask. Identifiers are replaced before anything reads them, and the raw snapshot never leaves the customer's cloud.
Exercise. Checkout, upgrades, and seat changes at production-shaped concurrency.
- 00:04Restore subsetCompletedT
- 00:07Mask identifiersCompletedS
- 00:11Exercise checkoutIn progressW
- 00:18Decide on the PRBLOCKR
Bring your next pull request.
See how Antifailure would test your stack, what it would check, and the evidence your team would review before merging.