Predictable Scaling: Reinventing Auto-Scaling with Queue Length, Traces, and Token Buckets
Most “auto-scaling” in the wild is basically:
Recent posts
Zero‑Downtime Schema Evolution: Event‑Driven Migration with Debezium and Temporal
As microservices mature, schema evolution and migration reliability are critical—this post dives deep into combining Debezium change streams with Temporal...
From FinOps to CodeOps: Automating Cost Visibility and Control at the Code Level
Cloud costs used to be someone else’s problem. Finance talked to vendors, ops talked to finance, and developers…well, we shipped features and crossed our fin...
Browser-Driven Infrastructure: How WebAssembly and In-Browser Docker Are Redefining Developer Environments
If you opened a GitHub repo today and a fully-configured dev environment appeared in your browser—no downloads, no “works on my machine”—you wouldn’t blink. ...
Event-Driven Security: Using Streaming Architectures to Detect LLM and API Abuse in Real Time
If you’ve ever stared at a static security report the way you stare at yesterday’s weather, you know the feeling: accurate, but not useful when things are on...