Database architecture, schemas that earn their constraints, migrations that ship without downtime.
The database is the part of the product that's hardest to refactor and most expensive to get wrong. We design it as code, migrate it like a discipline, and instrument it so the next problem surfaces before a customer notices.
What we build
Schema as code, one source of truth
Schemas defined in code that generate both the database structure and the application types. Renaming a column shows up as a build error across the rest of the codebase; the schema is the single source of truth for both runtime and types.
Migrations as routine, not events
Every schema change ships as a migration with up + down. Migrations run on every environment in the same order. Backfills run as background jobs with progress tracking, not as 'ssh into the box and run SQL'.
Indexing against real query plans
Indexes added based on real query plans against realistic production data, not because they 'might help'. Unused indexes get measured and dropped; missing ones surface in slow-query logs and get added.
Partitioning + replication where it earns it
Time-series and event-log tables get partitioned by range before they hit the size where ALTER TABLE becomes scary. Read replicas where the read pattern justifies them. We don't shard prematurely; we plan for the shape that's actually coming.
Tenant boundaries enforced at the database
Row-level scoping via tenant_id on every multi-tenant table, with row-level security enforced by the database where the threat model demands it. The application can forget the WHERE clause; the database will refuse.
Backups + recovery exercised, not assumed
Point-in-time recovery configured. Backups don't just exist; we restore them to a staging environment on a schedule and validate the restore works. The first time you exercise your backup process should not be during an incident.
Where this fits
Your tables grew faster than you expected and the queries that were fine in year one are taking seconds in year three.
You're past the prototype and the schema needs to support multi-tenancy without rewriting every query.
Your migration process is 'apply by hand in the right order' and one missed step away from a Sunday-night outage.
Tech stack
- Postgres
- Drizzle
- Migrations
- Indexing
- Partitioning
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