Kubernetes v1.30 Released: DRA, Pod Security, and Improved Memory Management
Kubernetes v1.30 brings Dynamic Resource Allocation to GA, improved Pod Security Standards, and enhanced memory QoS—key updates for platform engineering teams.
Tag: k8s
Kubernetes 1.35’s ‘Restart All Containers’: why in-place restarts matter for ops and AI workloads
Kubernetes 1.35 introduces an alpha ‘Restart All Containers’ capability that makes a whole‑Pod refresh a first‑class operation. Here’s where it helps, where it can hurt, and how to roll it out safely.
Kubernetes v1.35 as an AI Workload Platform: What Actually Changes for Operators
Kubernetes v1.35 continues a trend: clusters are increasingly asked to run mixed AI workloads (training, batch, and latency-sensitive inference) alongside traditional services. Here’s what’s new that matters for platform teams—especially around scheduling, resizing, and safer config workflows.
Kubernetes v1.35 and the containerd 2.0 cutoff: a practical upgrade playbook
Kubernetes v1.35 is a reminder that runtimes are part of the platform contract: it’s the last Kubernetes release to support containerd v1.x. Here’s a pragmatic, low-drama way to plan the move to containerd 2.0+ without turning node upgrades into incident response.
Kubernetes patch train: what the v1.35.1/v1.34.4/v1.33.8/v1.32.12 drop says about upgrade hygiene
Kubernetes shipped same-day patch releases across four supported branches plus a new v1.36.0 alpha. Here’s how to turn ‘release day’ into a repeatable upgrade workflow: risk triage, conformance gates, and rollback-ready rollouts.