Introducing the Red Hat Enterprise Linux Atomic Base Image

We’re excited to announce our latest step in the further optimizing of Red Hat Enterprise Linux (RHEL) for containers with the release of the RHEL Atomic base image. This image is much smaller than the current RHEL base image, giving just enough to get started on building your application or service.

We carved out python, systemd, and yes, even Yum is gone – leaving you with only the bare bone essentials like glibc, rpm, bash, and their remaining dependencies. This leaves us with an image that’s just under 30MB compressed, 75MB on disk; composed of 81 packages.

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Architecting Containers Part 4: Workload Characteristics and Candidates for Containerization

Many development and operations teams are looking for guidelines to help them determine what applications can be containerized and how difficult it may be. In Architecting Containers Part 3: How the User Space Affects Your Applications we took an in depth look at how the user space affects applications for both developers and operations. In this article we are going to take a look at workload characteristics and the level of effort required to containerize different types of applications.

The goal of this article is to provide guidance based on current capabilities and best practices within

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Continuous Delivery / Deployment with OpenShift Enterprise

In our previous posts, we’ve explored the Red Hat container ecosystem, the Red Hat Container Development Kit (CDK), OpenShift as a local deployment and OpenShift in production. In this final post of the series, we’re going to take a look at how a team can take advantage of the advanced features of OpenShift in order to automatically move new versions of applications from development to production — a process known as Continuous Delivery (or Continuous Deployment, depending on the level of automation).

OpenShift supports

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