You're Invited: Why Kubernetes Cost Optimization Breaks Prod — And How to Fix It

Every SRE team running Kubernetes is walking a fine line: optimize for cost, and you risk OOM kills, throttling, and outages; optimize for reliability, and infrastructure costs keep climbing.

Most cost-optimization tools chase the first half of that equation — and lose sight of the second. In their pursuit of maximum savings, they lure engineers into ripping and replacing existing autoscaling solutions, demand wide write permissions to production clusters, and switch nodes with no business justification. The result: degraded uptime and painful incidents. So most engineers, once burned, turn automation off entirely — leaving money on the table instead.

There's a better way.

Join Anton Weiss and Arthur Berezin as they break down how reliability-first optimization makes real cost reduction possible — through workload-aware guardrails that enable continuous, autonomous optimization without the production risk.

By attending this session, you'll walk away understanding:

• Why traditional cost-optimization approaches introduce reliability risk — and where the failure points actually happen
• How workload-aware guardrails enable safe, continuous automation without full rip-and-replace changes to your existing autoscaling stack
• What a reliability-first optimization strategy looks like in practice, and how it unlocks cost savings teams previously left on the table