Dynamic Resource Allocation Archives

Kubernetes Wasn’t Built for GPUs. Make It Behave

Kubernetes counts whole GPUs and treats pods as disposable. An LLM pod is neither. Share the silicon with MIG/MPS/time-slicing and stop paying for idle ...

Stop Treating GPUs Like Web Pods

Kubernetes schedules accelerators as opaque integers, and your bill pays for it. Share the silicon, scale on the right signal and keep weights out of the image ...

Kubernetes v1.36 Promotes Stability, Compatibility & Reproducibility

Kubernetes v1.36 (Spring 2026) introduces 70 enhancements, including major security hardening for the Kubelet API and the debut of Workload-Aware Scheduling (WAS) for AI/ML. This release focuses on fine-grained resource health, stable ...

SRE, autoscaling, Tailscale, Kubernetes, argo cd, Kubernetes v1.33, AI, Nelm, Kubernetes, architecture, , architecture, Rackspace, GPUs, Kubernetes, Solo.io Kubernetes cloud foundry keptn cloud-native automation

What to Expect From Kubernetes 1.36

Kubernetes 1.36 launches April 22, 2026, marking a major shift in networking as Ingress-Nginx retires in favor of the more scalable Gateway API. Key updates include bolstered Linux User Namespaces for better ...

The Efficiency Era: How Kubernetes v1.35 Finally Solves the “Restart” Headache

Kubernetes v1.35 introduces in-place resource resizing, revolutionizing how stateful workloads are managed. Discover the benefits of dynamic resource allocation, traffic distribution, and the improvements that enhance operational efficiency for platform engineers ...

Pavan Madduri | March 3, 2026 | AI/ML workloads, cloud costs, Dynamic Resource Allocation, efficiency era, FinOps, immutability, Kubernetes architecture, Kubernetes enhancements, Kubernetes v1.35, Openshift, operational efficiency, resource resizing, self-healing infrastructure, Stateful Workloads, system performance, traffic distribution, vertical scaling

Kubernetes v1.35 Arrived, Right On Workload-Aware Schedule

Discover the latest enhancements in Kubernetes workload scheduling, including the Workload API and gang scheduling features aimed at optimizing application performance and management ...