What you will learn

What you’ll learn:

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Scale on the right signals. Use HTTP RPS/concurrency, backlog age, and tail latency; not just CPU.

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Push beats scrape: wire OpenTelemetry into autoscaling to cut the “lag chain.”

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Master all types of autoscaling on Kubernetes, safely scale out workloads and schedule jobs.

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Preview to Predictive autoscaling and why we should use it.

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GPU‑aware scaling: blend inflight intent with VRAM/SM headroom; hide cold starts.

Who’s it for?

DevOps / Platform / SRE leads operating multi‑cluster K8s on AWS/GCP/
Azure; event‑driven or spiky workloads; cost pressure & latency SLOs.