Kubernetes v1.35 introduces workload aware scheduling, enhancing how multiple Pods are scheduled together. It features a new Workload API for defining scheduling requirements and supports gang scheduling to optimize resource use for large workloads. The update also includes opportunistic batching to speed up scheduling for identical Pods.

This article discusses the security challenges of deploying AI and machine learning workloads on Oracle Kubernetes Engine and Oracle Cloud Infrastructure. It highlights the shared responsibility model for security and outlines strategies for protecting against evolving threats, including runtime detection and posture management.