v1.21.0-alpha.1
Changes since v1.21.0-alpha.0 Note ⚠️ This is a pre-release. For testing only! Feature Add Venafi OAuth token request observability and a new AuthFailed Issuer condition reason...
Topic
Storage
9 results
Kubernetes v1.36: Mixed Version Proxy Graduates to Beta
Back in Kubernetes 1.28, we introduced the Mixed Version Proxy (MVP) as an Alpha feature (under the feature gate UnknownVersionInteroperabilityProxy) in a previous blog post. Th...
Kubernetes v1.36: Advancing Workload-Aware Scheduling
AI/ML and batch workloads introduce unique scheduling challenges that go beyond simple Pod-by-Pod scheduling. In Kubernetes v1.35, we introduced the first tranche of workload-aw...
Introducing OTel Blueprints and Reference Implementations
It’s not uncommon for end users adopting OpenTelemetry to, at some point in their journey, ask themselves: “Why is this stuff so complex?”. Full adoption normally requires under...
Kubernetes v1.36: Moving Volume Group Snapshots to GA
Volume group snapshots were introduced as an Alpha feature with the Kubernetes v1.27 release, moved to Beta in v1.32, and to a second Beta in v1.34. We are excited to announce t...
Kubernetes v1.36: More Drivers, New Features, and the Next Era of DRA
Dynamic Resource Allocation (DRA) has fundamentally changed how platform administrators handle hardware accelerators and specialized resources in Kubernetes. In the v1.36 releas...
Kubernetes v1.36: Server-Side Sharded List and Watch
As Kubernetes clusters grow to tens of thousands of nodes, controllers that watch high-cardinality resources like Pods face a scaling wall. Every replica of a horizontally scale...
Kubernetes v1.36: Admission Policies That Can't Be Deleted
If you've ever tried to enforce a security policy across a fleet of Kubernetes clusters, you've probably run into a frustrating chicken-and-egg problem. Your admission policies...
Kubernetes v1.36: Pod-Level Resource Managers (Alpha)
Kubernetes v1.36 introduces Pod-Level Resource Managers as an alpha feature, bringing a more flexible and powerful resource management model to performance-sensitive workloads....