Using kubernetes-deploying Skill: Let AI Agents Generate Kubernetes Deployment Manifests According to Specifications
### 翻译结果： `kubernetes-deploying` from spencerpauly/awesome-cursor-skills is an Agent Skill designed for Kubernetes deployments. It encapsulates best practices including Deployment, Service, Ingress, ConfigMap, Secret, health checks, release strategies and HPA into the SKILL.md file, enabling AI programming tools such as Cursor, Claude Code and Codex to generate standardized manifests and work with common kubectl commands. This article introduces its capabilities, installation and activation methods, typical usage scenarios and usage notes based on official documentation.
Read MoreGateway API v1.6: TCPRoute and UDPRoute Promoted to Standard, L4 Routing Generally Available
Kubernetes Gateway API v1.6.0 (released on June 30, 2026) has promoted TCPRoute and UDPRoute to the Standard channel, with L4 TCP/UDP routing reaching GA status. The API has been migrated to gateway.networking.k8s.io/v1, and v1alpha2 has been deprecated. This article sorts out L4 routing configuration examples, the unified evolution path with Ingress/Service Mesh, as well as the experimental API group gateway.networking.x-k8s.io and XBackend egress capabilities, for reference of cluster network upgrades.
Read MoreKubernetes 1.37 Coming Soon: HPA Scale-to-Zero, DRA Graduation to Stable, IPVS Mode Phased Out
Kubernetes 1.37 is scheduled for release on August 26, 2026, and the official Sneak Peek and enhancement tracker list 86 changes. This article focuses on three areas that require the most attention from operations teams: HPAScaleToZero has entered Beta and is enabled by default, allowing queue-based workloads to natively scale to zero; DRA device taint tolerance (KEP-5055) has reached GA, enabling GPU clusters to taint and evict pods based on specific devices; the kube-proxy IPVS mode has started the deprecation process, it will be disabled by default in 1.40 and completely removed in 1.43, so teams should migrate to nftables in advance. It also sorts out pre-upgrade check items such as metrics.k8s.io GA, containerd 2.0 and cgroup v2 upgrades.
Read MoreK8s-native AI Inference: The Ecosystem of Kthena, Grove and KAI Scheduler
In 2026, the Cloud Native Computing Foundation (CNCF) Community Accelerate will elevate LLM inference to a first-class citizen in Kubernetes. The CNCF Volcano subproject Kthena offers KV Cache-aware routing and Prefill-Decode separated scheduling; NVIDIA open-sourced Grove and KAI Scheduler to support topology-aware gang scheduling for multi-node inference; the CNCF Sandbox project KAITO simplifies vLLM model deployment. Based on cross-verification of official blogs and GitHub repositories, this article sorts out the responsibility boundaries and collaboration modes of the three projects across model deployment, traffic routing, and GPU scheduling layers, and provides a minimal YAML example for PD separation, providing a reference for platform engineering teams to build a unified K8s AI infrastructure layer.
Read MoreKubernetes 1.37 Is Coming: A Comprehensive Guide to DRA Enhancements, AI/ML Batch Scheduling and nftables Transition
Kubernetes v1.37.0 is scheduled for release on August 26, 2026, with approximately 86 enhancements in its milestone. Based on the official release calendar and SIG Release Highlights, this article discusses the significance of DRA device taints/extended resources GA, Workload API Beta and CompositePodGroup Alpha for AI/ML batch scheduling, interprets the gradual transition of kube-proxy to nftables (KEP-5343 warning mechanism), Pod certificates GA and Kubelet Rootless Beta, and provides upgrade suggestions such as kube-proxy explicit configuration, Feature gate and API deprecation.
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