Posts in 2018
Core Workloads API GA
By Kenneth Owens (Google) | Monday, January 15, 2018 in Blog
DaemonSet, Deployment, ReplicaSet, and StatefulSet are GA Editor’s Note: We’re happy to announce that the Core Workloads API is GA in Kubernetes 1.9! This blog post from Kenneth Owens reviews how Core Workloads got to GA from its origins, reveals …
Introducing client-go version 6
Friday, January 12, 2018 in Blog
The Kubernetes API server exposes a REST interface consumable by any client. client-go is the official client library for the Go programming language. It is used both internally by Kubernetes itself (for example, inside kubectl) as well as by …
Extensible Admission is Beta
Thursday, January 11, 2018 in Blog
In this post we review a feature, available in the Kubernetes API server, that allows you to implement arbitrary control decisions and which has matured considerably in Kubernetes 1.9. The admission stage of API server processing is one of the most …
Introducing Container Storage Interface (CSI) Alpha for Kubernetes
Wednesday, January 10, 2018 in Blog
One of the key differentiators for Kubernetes has been a powerful volume plugin system that enables many different types of storage systems to: Automatically create storage when required. Make storage available to containers wherever they’re …
Kubernetes v1.9 releases beta support for Windows Server Containers
By Michael Michael (Apprenda) | Tuesday, January 09, 2018 in Blog
At the time of publication, Michael Michael was writing as SIG-Windows Lead. With the release of Kubernetes v1.9, our mission of ensuring Kubernetes works well everywhere and for everyone takes a great step forward. We’ve advanced support for Windows …
Five Days of Kubernetes 1.9
Monday, January 08, 2018 in Blog
Kubernetes 1.9 is live, made possible by hundreds of contributors pushing thousands of commits in this latest releases. The community has tallied around 32,300 commits in the main repo and continues rapid growth outside of the main repo, which …
Posts in 2017
Introducing Kubeflow - A Composable, Portable, Scalable ML Stack Built for Kubernetes
By Jeremy Lewi (Google), David Aronchick (Google) | Thursday, December 21, 2017 in Blog
Kubernetes and Machine Learning Kubernetes has quickly become the hybrid solution for deploying complicated workloads anywhere. While it started with just stateless services, customers have begun to move complex workloads to the platform, taking …
Kubernetes 1.9: Apps Workloads GA and Expanded Ecosystem
By Kubernetes v1.9 Release Team | Friday, December 15, 2017 in Blog
We’re pleased to announce the delivery of Kubernetes 1.9, our fourth and final release this year. Today’s release continues the evolution of an increasingly rich feature set, more robust stability, and even greater community contributions. As the …
Using eBPF in Kubernetes
Thursday, December 07, 2017 in Blog
Introduction Kubernetes provides a high-level API and a set of components that hides almost all of the intricate and—to some of us—interesting details of what happens at the systems level. Application developers are not required to have knowledge of …
PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes
By Xu Yan (Baidu Research), Helin Wang (Baidu Research), Yi Wu (Baidu Research), Xi Chen (Baidu Research), Weibao Gong (Baidu Research), Xiang Li (CoreOS), Yi Wang (Baidu Research) | Wednesday, December 06, 2017 in Blog
Editor's note: Today's post is a joint post from the deep learning team at Baidu and the etcd team at CoreOS PaddlePaddle Fluid: Elastic Deep Learning on Kubernetes Two open source communities—PaddlePaddle, the deep learning framework originated in …