1575 articles
Deploy Istio service mesh for automatic mTLS, traffic management, and observability. Learn sidecar injection, mTLS enforcement, canary deployments with VirtualService, circuit breaking, distributed tracing, and when a service mesh is overkill.
You split into microservices but all of them share the same PostgreSQL database. You have the operational overhead of microservices with none of the independent scalability. A schema migration blocks all teams. A bad query in Service A slows down Service B.
The database has a replica. The app has multiple pods. You think you''re resilient. Then the single Redis instance goes down, and every service that depended on it — auth, sessions, rate limiting, caching — stops working simultaneously. SPOFs hide in plain sight.
Define meaningful SLOs and SLIs that align product and engineering. Implement error budgets to enable fast iteration without breaking production.
Your query runs in 2ms in development with 1,000 rows. In production with 10 million rows, the same query takes 8 seconds. The database does a full table scan on every single request. Here''s how to identify missing indexes, write efficient queries, and build a database that stays fast as data grows.