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Learn how serverless cold starts, concurrency, scale-to-zero, warm capacity, and traffic bursts affect latency, autoscaling, and production function design.
Understand Kubernetes autoscaling with HPA, node scaling, resource requests, scale-to-zero, stabilization, scheduling, and worker cost boundaries.
Learn when Kubernetes node pools make sense, how labels, affinity, taints, autoscaling, failure capacity, and worker shapes affect workload placement.
Learn cloud autoscaling for VMs: plan autoscaling policies, scale-out and scale-in signals, capacity limits, warm-up, readiness, dependency guardrails, and safe removal.
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