Kubernetes 1.35, dubbed 'Timbernetes,' delivers in-place pod resource adjustments, a capability that benefits AI training workloads and edge computing deployments. The open-source Kubernetes cloud ...

The team behind Google Kubernetes Engine (GKE) revealed that they successfully built and operated a Kubernetes cluster with 130,000 nodes, making it the largest publicly disclosed Kubernetes cluster ...

Organizations deploying artificial intelligence face a problem: models trained on one platform often require substantial re-engineering to run reliably on another. The Cloud Native Computing ...

This program ensures users can migrate AI workloads between Kubernetes distributions. Kubernetes will finally support rollbacks for returning to a working cluster if something goes wrong. Several ...

Abstract: Containerized edge computing emerged as a preferred platform for latency-sensitive applications requiring informed and efficient decision-making accounting for the end user and edge service ...

Security in Kubernetes often feels like a battle fought with legacy assumptions. Even as we push toward ephemeral workloads and container-native applications, most organizations still anchor their ...

Kubernetes has become the leading platform for deploying cloud-native applications and microservices, backed by an extensive community and comprehensive feature set for managing distributed systems.

A key enhancement in Kubernetes 1.34 provides network operators with fine-grained control over traffic routing decisions within clusters. Kubernetes 1.34 made its debut this week, bringing with it a ...

When running Kubernetes clusters for development, the operating system’s footprint can make or break performance and agility. Heavy, general-purpose Linux distributions waste memory and CPU cycles on ...