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InfoQ Homepage Kubernetes Content on InfoQ

  • Kubernetes Codebase Tagged v1.0.0. in Preparation for Public Release

    The codebase for Google’s Kubernetes open source orchestration system for Docker containers has been tagged v1.0.0 ready for the initial ‘general availability’ public release of the platform at OSCON next week on 21st July.

  • InfoQ China Launches Container Technology Club

    A successful CNUT closed-door meeting, a Container Technology Club organized by InfoQ, was held in the Beijing Babbitt Internet-themed tea house on 16th June, 2015

  • RedHat Microservices Architecture Developer Day London

    Last week, RedHat hosted a "Microservices Architecture Developer Day" in London, and presented a set of technologies and patterns that can be used to create microservice-based applications using open-source solutions like Kubernetes, Docker, Fabric8 and Maven. Read on for more details about the day, including links to the presentations and demo videos.

  • Google Create Kubernetes-based VM/Docker Image Building Framework

    Google have created a Kubernetes-based open source reference implementation that automates the building of custom Google Compute Engine VM images with Jenkins and Packer. The primary goal of this work is to demonstrate how to add image creation into a build pipeline for continuous delivery, and produce artifacts that may provide increased reliability and reduced speed of VM initialisation.

  • CoreOS App Container Spec Gains Support from Google, Apcera and Red Hat

    At the inaugural CoreOS Fest in San Francisco, the CoreOS team announced that the App Container specification (appc) has recently gained support from Google, Apcera, Red Hat and VMware. Google have added support for CoreOS’s appc implementation ‘rkt’ into Kubernetes, and Apcera have created a new implementation of appc, named ‘Kurma’.

  • CoreOS Launches Monitored Google-Style Infrastructure

    CoreOS has released Tectonic, a new product created from the aggregation of the CoreOS stack and the Google Kubernetes platform. Tectonic packages up different container technology and puts an UI on top of containers which includes a management console, an integrated registry and other tools to automate deployment.

  • Google Unveils Details about Borg

    Google has published the paper "Large-scale cluster management at Google with Borg", unveiling details on a technology that was very little spoken about in the past.

  • Arun Gupta: Recipes for Deploying Java EE Apps with Docker and Kubernetes

    At JavaLand 2015, Arun Gupta presented several ‘recipes’ for deploying Java EE applications using Docker and Kubernetes. Gupta stated that containers are beneficial for deploying and managing applications, as they provide faster deployment, isolation and portability. The use of a container cluster manager, such as Kubernetes, also ensures availability and scalability.

  • Mirantis Partners with Google to Integrate Kubernetes and OpenStack

    OpenStack specialists Mirantis have announced a joint project with Google to integrate the Kubernetes container management system with the OpenStack project, which will allow Docker containers to be deployed at scale on infrastructure managed by OpenStack.

  • CoreOS Propose Modification to Docker for Supporting appc ACIs

    CoreOS have opened a pull-request to Docker which contains a proof-of-concept modification to enable Docker to run appc app container images (ACIs). At the same time CoreOS have also released a new version of Rocket that supports the native running of Docker images.

  • CoreOS Shipped the First Stable Version of etcd

    CoreOS announced the availability of etcd 2.0, the first stable version of the open source distributed key-value store.

  • Google Shares its Views on Containers

    The Google Cloud Platform team started an article series to share its views on container, leveraging their 10-year experience on the technology. Google's first two articles provide an overview of the topic. They explain the rationale behind container clusters and their defining traits. Along the way, they show how it all applies to Kubernetes.

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