Stop Restarting Pods: Automate In-Place Resizing

Learn how to optimize Kubernetes workloads without pod restarts, YAML edits, or manual effort

Overview

Kubernetes 1.33 introduces a long-awaited feature: in-place pod resizing, allowing live updates to CPU and memory requests without restarting pods.
This opens the door to smarter, more efficient resource management but it still requires teams to monitor workloads and decide when and how to apply changes.In this session, you’ll see how Cast AI fully automates this new capability, detecting resource inefficiencies and applying changes in real time, without disruption.

We’ll cover:

How in-place pod resizing works in Kubernetes
Common use cases and limitations
Live demo: See how Cast AI automates detection, decision-making, and application of changes in real time.

Whether you’re building platform automation or just trying to eliminate waste and overprovisioning, this session will show you how to take full advantage of the latest Kubernetes capabilities without the manual overhead. Register now!

Panelists

Leon Kuperman,

Co-Founder & CTO, Cast AI

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