Every team that serves language models eventually hits the same wall: the GPU has plenty of memory and the model
Continue readingContinuous Batching: The Scheduling Trick Behind Every Fast LLM Server
Every codebase has a logging moment of reckoning. It arrives when someone has to debug a production incident at 2
Continue readingStructured Logging in Go: A Practical slog Field Guide
Every schema migration is easy the first time, when the table is empty and the only user is your test
Continue readingZero-Downtime PostgreSQL Migrations: Locks, Rewrites, and Expand-and-Contract
Most Go services run for months without anyone touching a single GC knob, and that is exactly how the runtime
Continue readingThe Go Garbage Collector in Production: GOGC, GOMEMLIMIT, and Allocation Discipline
A request fails at 2 AM. The on-call engineer greps through logs looking for a trace ID, finds seventeen lines
Continue readingStructured Logging in Go With slog: Handlers, Sampling, and Dynamic Levels
Every Prometheus outages post-mortem tells the same story in a slightly different costume. The server ran fine for months, then
Continue readingPrometheus Cardinality Explosions: Why Your Monitoring Server Ran Out of Memory
Some code teaches you an algorithm. Some code teaches you a way of thinking. The snippets below are in the
Continue readingFive Code Gems From Quake, Redis, Linux, Python, and SQLite — and What They Teach
You hit “Place Order,” the spinner hangs for ten seconds, and you tap the button again. Now the fear sets
Continue readingIdempotency Keys Done Right: Building Retry-Safe APIs That Never Double-Charge
Most developers treat the garbage collector as weather: it happens to them, and occasionally it ruins their day. But the
Every PostgreSQL developer knows the four isolation levels from the SQL standard: Read Uncommitted, Read Committed, Repeatable Read, Serializable. Fewer
Continue readingPostgreSQL Isolation Levels: What Repeatable Read Actually Guarantees