Containers

Container-related content you might have missed at Red Hat Summit

Container-related content you might have missed at Red Hat Summit

If you weren’t lucky enough to attend the recent Red Hat Summit or you went but couldn’t make it to all the container-related sessions, worry not. We teamed up with Scott McCarty, Principal Technology Product Manager–Containers at Red Hat, to bring you an overview of what you missed.

Choosing the right container base image for your applications

The Red Hat Universal Base Image (UBI) gives you three options for building containers with the full power of Red Hat Enterprise Linux (RHEL) underneath. The goal is to create the smallest possible image that fully supports your application. You select a base image depending on the application you’re packaging in a container. For example, if you have a Golang or .NET application, all of that application’s dependencies are built in. That means you can use the minimal image (ubi-minimal), which contains microdnf, a package manager that only supports install, update, and remove functions. It also includes, well, a minimal set of tools.

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Working with Red Hat Enterprise Linux Universal Base Images (UBI)

Working with Red Hat Enterprise Linux Universal Base Images (UBI)

If you’re like me—a developer who works with customers who rely on the tried-and-true Red Hat Enterprise Linux (RHEL), works with containerized applications, and also prefers to work with Fedora Linux as their desktop operating system—you’re excited by the announcement of the Universal Base Images (UBI). This article shows how UBI actually works, by building the container image for a simple PHP application.

With UBI, you can build and redistribute container images based on Red Hat Enterprise Linux without requiring a Red Hat subscription. Users of UBI-based container images do not need Red Hat subscriptions. No more extra work creating CentOS-based container images for your community projects or for your customers that prefer self-support.

I tested all these steps on my personal Fedora 29 system, and they should work on any Linux distribution. I am also a big fan of the new container tools such as Podman, which should be available to your favorite Linux distribution. If you are working on a Windows or MacOS system, you can replace the Podman commands with Docker.

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Command-line tools for Kubernetes: kubectl, stern, kubectx, kubens

Command-line tools for Kubernetes: kubectl, stern, kubectx, kubens

If you’ve ever worked with your hands, you know that you can’t do the job right without the right tools. That adage carries over quite well to software development as well. The right tools can make the difference between success or failure, regardless of the underlying technology. In the Kubernetes ecosystem, more and more tools are being introduced as folks find ways to solve a common problem. This article looks are four of those tools.

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2 tips to make your C++ projects compile 3 times faster

2 tips to make your C++ projects compile 3 times faster

In this article, I will demonstrate how to speed up your compilation times by distributing compilation load using a distcc server container.  Specifically, I’ll show how to set up and use containers running a distcc server to distribute the compilation load over a heterogeneous cluster of nodes (development laptop, old desktop PC, and a Mac). To improve the speed of recompilation, I will use ccache.

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Use the Kubernetes Python client from your running Red Hat OpenShift pods

Use the Kubernetes Python client from your running Red Hat OpenShift pods

Red Hat OpenShift is part of the Cloud Native Computing Foundation (CNCF) Certified Program, ensuring portability and interoperability for your container workloads. This also allows you to use Kubernetes tools to interact with an OpenShift cluster, like kubectl, and you can rest assured that all the APIs you know and love are right there at your fingertips.

The Kubernetes Python client is another great tool for interacting with an OpenShift cluster, allowing you to perform actions on Kubernetes resources with Python code. It also has applications within a cluster. We can configure a Python application running on OpenShift to consume the OpenShift API, and list and create resources. We could then create containerized batch jobs from the running application, or a custom service monitor, for example. It sounds a bit like “OpenShift inception,” using the OpenShift API from services created using the OpenShift API.

In this article, we’ll create a Flask application running on OpenShift. This application will use the Kubernetes Python client to interact with the OpenShift API, list other pods in the project, and display them back to the user.

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Get started with Jenkins CI/CD in Red Hat OpenShift 4

Get started with Jenkins CI/CD in Red Hat OpenShift 4

Automation is what we (developers) do. We automate ticket sales and automobiles and streaming music services and everything you can possibly tie into an analog-to-digital converter. But, have we taken the time to automate our processes?

In this article, I’ll show how to build an automated integration and continuous delivery pipeline using Jenkins CI/CD and Red Hat OpenShift 4. I will not dive into a lot of details—and there are a lot of details—but we’ll get a good overview. The details will be explained later in this series of blog posts.

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Use Node.js 12 on Red Hat OpenShift today

Use Node.js 12 on Red Hat OpenShift today

On April 23, Node.js released its latest major version with Node.js 12. Because this is an even-numbered release, it will become a Long Term Support (LTS) release in October, code-named Erbium.

This release brings a host of improvements and features, which this blog post isn’t going to cover. Instead, I will focus on how to start using this new release today on Red Hat OpenShift. If you’re interested in more about the various improvements and new features, check out the articles listed at the end of this post.

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Guru Night at Red Hat Summit: Hands-on experience with serverless computing

Guru Night at Red Hat Summit: Hands-on experience with serverless computing

Millions of developers worldwide want to learn more about serverless computing. If you’re one of the lucky thousands attending Red Hat Summit in Boston May 7-9, you can gain hands-on experience with the help of Burr Sutter and the Red Hat Developer team.

Guru Night is a BYOL (bring your own laptop) event taking place Wednesday, May 8 from 5:00 p.m. to 8:00 p.m. at the Boston Convention and Event Center in ML2 East-258AB. (Doubtless there will be a map to show you where or what ML2 East etc. is; we have no idea.) Head to the signup page and fill out your details now.

TL;DR: Beer and pizza will be served.

We felt compelled to point that out. But read on.

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Optimizing Red Hat Fuse 7 Spring Boot container images

Optimizing Red Hat Fuse 7 Spring Boot container images

Working with Red Hat Fuse 7 on Spring Boot is straightforward. In my field experience, I have seen many development (a.k.a. integrator) teams moving to Fuse 7 on Spring Boot for their new integration platforms on Red Hat OpenShift Container Platform (well aligned with agile integration).

Lately, however, I have also seen some teams worried about the size of the final images and the deployment pipeline. In most cases, they had developed a set of common libraries or frameworks to extend or to homogenize the final integration projects. All the cases have the same result:

  • Several dependencies copied in each integration project
  • Always replacing the container images with the latest fat JAR (including the same dependencies) in each build pipeline

Spring Boot is usually packaged as “fat JARS” that contain all runtime dependencies. Although this is quite convenient, because you only need a JRE and a single JAR to run the application, in a container environment such as Red Hat OpenShift, you have to build a full container image to deploy your application.

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Podman basics cheat sheet

Podman basics cheat sheet

Here and elsewhere, we get a lot of questions about post-Docker container tools in Red Hat Enterprise Linux 7.6 and Red Hat Enterprise Linux 8 beta. Tools like podman, buildah, and skopeo enable you to create and manage rootless containers, which are containers that don’t require root access to be built and deployed. To help you master the basics, we’re happy to offer a new podman basics cheat sheet.

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