Posts in 2018
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 …
Autoscaling in Kubernetes
Friday, November 17, 2017 in Blog
Kubernetes allows developers to automatically adjust cluster sizes and the number of pod replicas based on current traffic and load. These adjustments reduce the amount of unused nodes, saving money and resources. In this talk, Marcin Wielgus of …
Certified Kubernetes Conformance Program: Launch Celebration Round Up
Thursday, November 16, 2017 in Blog
This week the CNCFⓇ certified the first group of KubernetesⓇ offerings under the Certified Kubernetes Conformance Program. These first certifications follow a beta phase during which we invited participants to submit conformance results. The …
Kubernetes is Still Hard (for Developers)
Wednesday, November 15, 2017 in Blog
Kubernetes has made the Ops experience much easier, but how does the developer experience compare? Ops teams can deploy a Kubernetes cluster in a matter of minutes. But developers need to understand a host of new concepts before beginning to work …
Securing Software Supply Chain with Grafeas
By Kelsey Hightower (Google), Sandra Guo (Google) | Friday, November 03, 2017 in Blog
Kubernetes has evolved to support increasingly complex classes of applications, enabling the development of two major industry trends: hybrid cloud and microservices. With increasing complexity in production environments, customers—especially …