Serverless Cold Start Latency — Swimlane & Latency Histogram

Cloud "serverless" platforms — AWS Lambda, Azure Functions, Google Cloud Run — don't run a server for you at all times: they keep a warm pool of function containers and scale it up or down based on live traffic. This is the same warm-pool queueing model as the 3D grid version (a request either hits a warm instance instantly, forces a fresh instance through a real cold-start delay, or queues under backpressure when the pool is saturated), but rendered through two 2D-native views instead of a 3D scene: a scrolling swimlane timeline that turns every instance's lifecycle into a strip of color you can read left-to-right, and a live latency histogram whose p50/p95 markers make the cold-start tax visible as a separate hump in the distribution. Tune the request rate, cold-start delay, idle timeout and per-instance concurrency and watch how they reshape both views in real time.