Kubernetes 1.14 consists of 31 enhancements: 10 moving to stable, 12 in beta, and 7 net new. The main themes of this release are extensibility and supporting more workloads on Kubernetes with three major features moving to general availability, and an important security feature moving to beta.
More enhancements graduated to stable in this release than any prior Kubernetes release. This represents an important milestone for users and operators in terms of setting support expectations. In addition, there are notable Pod and RBAC enhancements in this release, which are discussed in the “additional notable features” section below.
The first release of Kubernetes in 2019 brings a highly anticipated feature - production-level support for Windows workloads. Up until now Windows node support in Kubernetes has been in beta, allowing many users to experiment and see the value of Kubernetes for Windows containers. While in beta, developers in the Kubernetes community and Windows Server team worked together to improve the container runtime, build a continuous testing process, and complete features needed for a good user experience. Kubernetes now officially supports adding Windows nodes as worker nodes and scheduling Windows containers, enabling a vast ecosystem of Windows applications to leverage the power of our platform.
The Local Persistent Volumes feature has been promoted to GA in Kubernetes 1.14. It was first introduced as alpha in Kubernetes 1.7, and then beta in Kubernetes 1.10. The GA milestone indicates that Kubernetes users may depend on the feature and its API for production use. GA features are protected by the Kubernetes deprecation policy.
The technology world is looking for flexible IT infrastructure that will easily evolve to meet changing data and performance requirements in support of the onslaught of upcoming and lucrative use cases. Kmesh addresses data management and data sovereignty concerns while decreasing costs associated with storage and network resources.
In a best-practice Kubernetes cluster every request to the Kubernetes APIServer is authenticated and authorized. Authorization is usually implemented by the RBAC authorization module. But there are alternatives and this blog post explains how to implement advanced authorization policies via Open Policy Agent (OPA) by leveraging the Webhook authorization module.
kubeadm is a tool that enables Kubernetes administrators to quickly and easily bootstrap minimum viable clusters that are fully compliant with Certified Kubernetes guidelines. It’s been under active development by SIG Cluster Lifecycle since 2016 and we’re excited to announce that it has now graduated from beta to stable and generally available (GA)!
We’re pleased to announce the delivery of Kubernetes 1.13, our fourth and final release of 2018!
Kubernetes 1.13 has been one of the shortest releases to date at 10 weeks. This release continues to focus on stability and extensibility of Kubernetes with three major features graduating to general availability this cycle in the areas of Storage and Cluster Lifecycle. Notable features graduating in this release include: simplified cluster management with kubeadm, Container Storage Interface (CSI), and CoreDNS as the default DNS.
Early on Monday December 3rd, a boulder splashed into the placidly silent Kubernetes security channels. A potentially high severity authentication bypass was disclosed with scant explanation the same day that K8s version 1.13 went golden master. For Kubernetes administrators with PTSD from 2014’s HeartBleed, the CVE blast and its 37-line fix triggered palpitations in anticipation of sleepless patchfests to come.
This article talks about how Kubernetes has emerged from container orchestration platform to manage complex workloads in AI and Machine Learning Stacks, Managing containers in NFV architecture and handling hardware GPU resources.
Kubernetes is a great orchestator for containers. But it does not manage network for Pod-to-Pod communication. This is the mission of Container Network Interfaces (CNI) plugins which are a standardized way to achieve network abstraction for container clustering tools (Kubernetes, Mesos, OpenShift, etc.)