Kubernetes and OpenShift: Community, Standards and Certifications

kubernetes logo

Red Hat has been vocal about the importance of open standards in the containers space and were founding members of both the Open Container Initiative (OCI) and the Cloud Native Computing Foundation (CNCF). The CNCF plays an important role in providing neutral governance for the Kubernetes project and protecting the Kubernetes API standard. This is why Red Hat worked closely with Kubernetes community members like Google, Heptio and others to evolve the automated conformance test harness that ensures Kubernetes platforms and distributions like OpenShift adhere to the standard.

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Containers are Linux

Containers are Linux

Containers are Linux. The operating system that revolutionized the data center over the past two decades is now aiming to revolutionize how we package, deploy and manage applications in the cloud. Of course you’d expect a Red Hatter to say that, but the facts speak for themselves.

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Why Red Hat Chose Kubernetes for OpenShift

k8s-openshift

I often get asked why Red Hat chose to standardize on Kubernetes for OpenShift, instead of going with a competing container orchestration solution. There are a number of open source container orchestration solutions available today. The OpenShift product team explored many of them, and we even explored building our own. In this blog, I will explain why we chose Kubernetes and why more than two years later, we couldn’t be happier with our decision!

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Building on Kubernetes: Bringing Google-Scale Container Orchestration and Management to the Enterprise

Building on Kubernetes: Bringing Google-Scale Container Orchestration and Management to the Enterprise

The beauty of open source development is in the numerous amazing opportunities for collaboration that occur upstream and the ability to build on each others work. Last fall I blogged about how Red Hat was working with Google and others to standardize container orchestration and management with Kubernetes in OpenShift 3. In this post, I wanted to cover what’s happened since then and talk about specific areas of Kubernetes that Red Hat has been working on, as we bring this capability to enterprise users.

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The OpenShift Difference: Developer Experience, Automation and Choice

When it comes to choosing a PaaS provider, customers have many choices, including both Public and Private PaaS solutions. This increasingly competitive market landscape drives innovation forward and is good for customers. We are happy that so many customers have chosen OpenShift, are proud of the recognition OpenShift has received in the market and how we have faired in independent head-to-head comparisons. We will continue to drive new innovations and advance OpenShift forward based on feedback from our customers, partners, community members and users.

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OpenShift v3 Platform Combines Docker, Kubernetes, Atomic and More

Today the OpenShift development team announced a new public Origin repo containing initial commits for our third generation OpenShift platform. This integrates work we’ve been doing over the past year plus in OpenShift Origin and related projects like Docker, Kubernetes, Geard and Project Atomic – all of which will become integral components of the new OpenShift. This Origin community effort will drive the next major releases of OpenShift Online and OpenShift Enterprise 3.

This post explains how each of the primary components came together and the advantages they provide. Future blog posts will dive deeper into each component of the new OpenShift. A Beta program will launch later this fall creating additional ways for you to participate. We’ll also be discussing plans for migrating existing OpenShift Enterprise and OpenShift Online customers to OpenShift v3 once it’s released. In the meantime, join us in the Origin community as we build the next great application platform together.

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Hortonworks Data Platform and OpenShift | Combining Big Data and Rapid App Development

As use cases for big data continue to grow, enterprise customers increasingly rely on big data driven applications and analytics to power their business and are rapidly embracing a modern data architecture, that augments their existing data stores with Hadoop, in order to meet their data storage and processing challenges. They’re also rapidly integrating their data stores with Hadoop, to create new applications. These same organizations are also seeking to accelerate web and mobile application delivery by leveraging Platform as a Service solutions and embracing DevOps and Continuous Delivery models.

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