Every API that survives long enough faces the same moment: a requirement lands that cannot be expressed as an additive
Continue readingAPI Versioning: How to Change a Live API Without Breaking Every Client
Every Go service that talks to PostgreSQL sits on top of a pool, and almost every incident review that mentions
Continue readingConnection Pooling Is a Queue: Sizing pgxpool Against PostgreSQL’s Process Model
Most services read the same rows over and over. A user profile endpoint gets hammered by the same traffic pattern
Continue readingClient-Side Caching with Redis: Invalidation Is the Whole Design
Sooner or later every API team hits the wall: a client depends on behavior you need to change. The field
Replica lag is one of those distributed-systems facts everyone accepts in the abstract and nobody plans for in the code.
Here is a failure mode that shows up in every system with more than two backends: round robin distributes requests
Continue readingLoad Balancing Beyond Round Robin: Least Outstanding Requests and Consistent Hashing
If you run a large language model behind a product, you have probably internalized an uncomfortable trade-off. The big frontier
Continue readingLLM Routing and Cascading: Send Every Query to the Cheapest Model That Can Handle It
Every API that returns a list eventually has to answer the same question: how do you hand out a million
Every API you ship is a promise. Clients hardcode your URLs, parse your field names, and schedule work around your
Continue readingAPI Versioning Strategies: Path vs Header, Calendar Dates, and Graceful Sunsets
Every schema migration tool will happily tell you how to change a table. Almost none of them will tell you
Continue readingZero-Downtime Database Migrations: Expand-Contract, Backfills, and Locks