Try this learning loop
State a prediction before changing the controls. Identify which assumption changes the result, reset and test a second case. These deliberately small models explain one mechanism at a time.
Interactive concept model
Capacity and scaling model
Compare demand with per-instance capacity and a scaling ceiling.
Predict it. Test it. Change one thing.
Local educational model. No account or cloud charges. Nothing is deployed to AWS.
Immediate scaling and constant per-instance throughput are assumed. Real autoscaling includes boot time, policy evaluation, health checks and shared bottlenecks. Raise the ceiling, then explain what this model omits.
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