Eventually the alert fires at 3 a.m.: your Prometheus is consuming more memory than the database it monitors, queries that
Continue readingPrometheus Cardinality: Why Your TSDB Is Drowning and How to Stop It
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
If you shipped a CLI tool or a single-page app in the last few years, you have probably implemented “OAuth”
Every high-concurrency server you have ever deployed eventually bottoms out at the same place: a call that says “tell me
Replica lag is one of those distributed-systems facts everyone accepts in the abstract and nobody plans for in the code.
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 codebase that touches a database, an S3 bucket, or a third-party API has secrets, and every team eventually learns
Continue readingSecrets Management Beyond .env Files: Vault, External Secrets, and CI Hygiene
Every Go program you have ever shipped is a swarm of goroutines multiplexed onto a handful of operating system threads.
Continue readingInside the Go Scheduler: G, M, P, Work Stealing, and Why Goroutines Block Cheaply
Most teams don’t have an alerting problem; they have an alerting volume problem. The on-call rotation drowns in alerts that
Continue readingBurn-Rate Alerting on SLOs: Multiwindow Alerts in Prometheus That Don’t Flap
Every LLM application has two knobs that get blamed for everything: temperature and top-p. When outputs are boring, someone raises
Continue readingTemperature, Top-p, Top-k, and Min-p: How the LLM Sampler Actually Works