Kubernetes 1.37 is a release of the Kubernetes container orchestration platform for managing workloads across clusters of machines. Developers and platform teams use it to deploy, scale, schedule, monitor, and secure containerized applications while adopting updated APIs and features such as pod resizing, node lifecycle handling, and workload scheduling.
12 posts about Kubernetes 1.37 by 5 contributors.
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Learn Kubernetes 1.37 storage security with bind mounts, hostPath, permissions, and read-only access. Follow these practices to secure node storage.
Learn how to secure Kubernetes 1.37 emptyDir permissions with non-root containers, fsGroup, and least-privilege access. Apply safer storage practices.
Explore Kubernetes 1.37 in-place Pod resizing and how scheduler preemption handles CPU and memory shortages to improve resource management and workload scheduling.
Learn how Kubernetes 1.37 node lifecycle conditions can improve node maintenance by helping controllers and workloads respond safely to node health and availability changes.
Explore Kubernetes 1.37 Memory QoS and learn how it improves .NET container performance, memory isolation, resource management, and application stability under pressure.
Learn how to migrate .NET application monitoring to the Kubernetes 1.37 metrics.k8s.io API, covering resource metrics, monitoring architecture, compatibility, and migration steps.
Explore Kubernetes 1.37 gang scheduling for distributed AI workloads and learn how coordinated pod scheduling can improve resource utilization, startup behavior, and performance.
Learn how Kubernetes 1.37 KYAML can help validate and process Kubernetes manifests in CI/CD pipelines, improving configuration quality, automation, and deployment reliability.
Learn how to migrate .NET application monitoring to the Kubernetes 1.37 metrics.k8s.io API, covering resource metrics, monitoring architecture, compatibility, and migration steps.
Learn how Kubernetes 1.37 Pod Certificates can secure .NET services with workload identity, automated certificate management, authentication, and service-to-service security.
Learn how Kubernetes 1.37 HPA scale-to-zero affects .NET workloads, including infrastructure cost, cold-start latency, autoscaling behavior, and production trade-offs.
Explore Kubernetes 1.37 Watch Cache improvements and benchmark API server recovery, etcd performance, event processing, and reliability in large Kubernetes clusters.
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