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Managing Kubernetes performance and cost at scale is hard. Tuning HPA settings, right-sizing pods, and chasing cost spikes can eat up hours of your week — and you’re still at risk of overprovisioning or degraded performance.
In this overview and live demo, you’ll see how Sedai brings autonomous optimization to Kubernetes, so your clusters stay fast, efficient, and resilient, without constant manual intervention.
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with AI-powered scaling that improves performance and reduces cost
by automatically cleaning up idle, overprovisioned, or misconfigured resources
with safe, self-adjusting recommendations and guardrails for every change
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