Production reliability
What keeps a system standing when something goes wrong: health-gated deploys that roll themselves back, ingestion that survives duplicate events, isolation that holds between tenants.
For teams whose AI or platform systems need deployment safety, data integrity under retries, and structural isolation between tenants.
Case studies behind this
Zero-downtime blue-green deploys with health-gated rollback
A stateful app needed frequent releases without downtime, broken containers reaching traffic, or bad migrations destroying the rollback path.
Docker Compose · Traefik · Postgres · shell orchestrationIdempotent webhook ingestion at scale
Third-party webhooks retried, duplicated, and arrived out of order; silent loss would only surface later as broken reports.
Go · Postgres (SKIP LOCKED, matviews) · HMAC · advisory locksMulti-tenant SaaS with isolation enforced on every query
A single missing tenant filter can expose one customer's data to another in a multi-tenant SaaS platform.
tRPC · Prisma · Postgres · Next.js
Questions worth asking first
What happens to production traffic when a release goes wrong?
Which data or event paths must survive retries without duplication or loss?
Where does tenant isolation need to be structural, not a convention?
Related services
Internal tools automation
Start here when operators need a real tool — with permissions, audit trails and half-done states — not another spreadsheet and a pile of scripts.
Open serviceLLM productionization
Start here when the prototype is convincing but nobody can say what it costs at scale, why it fails, or whether yesterday's prompt change made it worse.
Open service