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How to Reduce Kubernetes Costs Without Breaking Your SLOs

The reliability-first playbook for cutting Kubernetes waste — without the OOM kills, throttling, and 3am pages that come from optimizing blind.

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Most Kubernetes cost-cutting fails the same way: someone trims requests, disables a safeguard, or lets an autoscaler get aggressive — and now you're debugging a crash loop instead of banking the savings.
This eBook makes the case for a different approach.

Not "cut the widest net," but "keep the savings you can actually keep" — by ranking risk, right-sizing in both directions, and automating with guardrails instead of guesswork.

What's Inside

Section 1: The Tradeoffs of Optimization

Why performance, reliability, and cost are one constrained system — not three separate levers

Section 2: Where the Money Actually Goes

The real breakdown of Kubernetes spend: oversized requests, idle GPUs, mismatched nodes, slow-to-scale-down autoscalers

Section 3: The Four Risks of Cutting Too Far

OOM kills, CPU throttling, over-provisioning, and unschedulable pods — and the mechanics behind each

Section 4: VPA, HPA & Node Autoscaling, Explained

What each tool actually does, where they conflict with each other, and where they quietly fail

Section 5: The PerfectScale Approach

8 principles for optimizing safely — risk ranking, granular policies, bi-directional right-sizing, HPA/revision/node-awareness, and more