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  1. GitOps has continued in its popularity and has become the standard way to manage Kubernetes cluster configuration and applications. Red Hat continues to see the widespread adoption of the GitOps methodology across our portfolio as customers look for ways to bring increased efficiency to their operations and development teams. View the full article
  2. In this post, I will discuss how to utilize Azure Key Vault (AKV) with Azure Red Hat OpenShift (ARO) cluster. I will explain the relevant terms and their definitions from the architectural standpoint and how the flow works at a glance, and I will give an example of how to deploy this in the ARO cluster. The objective of this article is to enable you to store and retrieve secrets stored in AKV from your ARO cluster. View the full article
  3. In this article, I will demonstrate how to monitor Ansible Automation Platform(AAP) running on OpenShift, using user-workload-monitoring with Prometheus and Grafana... View the full article
  4. At some point during the OpenShift deployment phase, a question about project onboarding comes up, "How can a new customer or tenant be onboarded so they can deploy their own workload onto the cluster(s)?" While there are different ways from a process perspective (Service Now, Jira, etc.), I focus on the Kubernetes objects that must be created on each cluster. In A Guide to GitOps and Argo CD with RBAC, I described setting up GitOps RBAC rules so tenants can work with their (and only their) projects. This article demonstrates another possibility for deploying per tenant and per cluster ... View the full article
  5. Recently, I published the blog Provisioning OpenShift clusters using GitOps with ACM, explaining how to create OpenShift clusters with RHACM using GitOps with ArgoCD. The OpenShift installation type was IPI and valid for most platforms: Azure, AWS, GCP, vSphere, etc., but not for baremetal. If you've ever installed an OpenShift cluster in baremetal and disconnected, you know how different it is from any other installation. View the full article
  6. OpenShift Virtualization is Red Hat's solution for companies trending toward modernization by adopting a containerized architecture for their applications, but find virtualization remains a necessary part of their data center deployment strategy. View the full article
  7. In today’s fast-paced digital landscape, containerization has become the norm, and Kubernetes has emerged as the de facto standard for container orchestration. However, with the increasing complexity of Kubernetes deployments, it has become more critical than ever to monitor and secure those environments. View the full article
  8. At Red Hat Consulting we help customers to adopt Red Hat products and technologies and make the most out of them. We believe addressing customer business needs is the best way to increase customer's ROI. View the full article
  9. Satisfying Developer Requests We have recently been in a situation where our customer wanted to just give access to the developers to manage the right projects in OpenShift. Developers at the same time, needed to create applications on OpenShift without needing to consult administrators for access to ArgoCD/OpenShift GitOps. This has increased in importance for non-production environments. If a developer team has gone through the effort of requesting budget, time, and resources to develop a new application on OpenShift, should they really wait for an administrator to change settings for them to get started? View the full article
  10. In this article, we describe why we think the Cost Management service for Red Hat OpenShift is needed, what it is, and how to address a simple cross-department billing problem with the technology. View the full article
  11. What is the Web Terminal Operator? This operator integrates with the OpenShift, allowing users to open a Command line terminal drawer within the console and interact with the cluster, without installing any tools locally. View the full article
  12. GitOps is a term that has become very popular in the last few years and is easily on its way to becoming just as overloaded with myth and mystery as DevOps. In this series of articles, we will present the principles and practices of GitOps, explaining the why and how of the automated processes that aim to deliver secure, high-quality, microservice-based applications quickly and efficiently. In part 1 of the series, we introduced the main concepts of GitOps, together with the open source automation technology Tekton and ArgoCD. These tools operate on the Red Hat OpenShift platform to deliver a cloud-native continuous integration and continuous delivery process. The first article also gave an indicative structure for Git repository and ArgoCD applications that can create a secure and audited process for the delivery to production. This article will continue the series by explaining how container images produced during the continuous integration phase can be successfully managed and used within the continuous delivery phase. View the full article
  13. This post was written in collaboration with Rahul Mehta, Azure Red Hat OpenShift Product Manager, Microsoft View the full article
  14. We’re pleased to introduce Kubernetes services on secondary networks as created by Multus CNI – available as a developer preview on OpenShift 4.10, which we’re here to help you get your hands on to try today. We’ll run you through a quick installation, and a demo where you can see it in action. View the full article
  15. The journey to get a network function on Red Hat OpenShift can start by building its associated container images from source using Red Hat OpenShift Pipelines and Red Hat Universal Base Image (UBI). There are two approaches that can be followed, and they will bring different outcomes: View the full article
  16. Many developers and organizations are shifting to containerized applications and serverless infrastructure, but there is still huge interest in developing and maintaining applications running as VMs. Red Hat OpenShift Virtualization provides that ability and allows organizations to bring VMs into containerized workflows inside clusters. View the full article
  17. I have been involved with the Ansible project since its earliest days as a contributor, then later as a customer and consultant, and now as product manager. So I have been around Ansible automation for a quite awhile and have seen it from many perspectives. In my role as an Ansible product manager and evangelist, I have been fortunate enough to meet many IT professionals around the globe and discuss how automation and DevOps culture can be applied to their organizations. Sometimes I am asked what they should automate. Other times, I am challenged that an automation tool like Ansible is unnecessary or does not apply to what they are doing... View the full article
  18. What's better than a giant room full of computers learning how to solve your problems? A giant room of computers all supplemented with GPUs to speed up those calculations. They're not just for games, anymore; GPUs are quickly becoming essential hardware for high performance computing and for cluster-based applications that crunch lots of numbers. On November 10, 11 AM PT, NVIDIA is hosting a Webinar explaining just what it looks like to run GPUs inside your Kubernetes cluster. Below is a further description of the event. You can register here. Building AI powered cloud native applications allows organizations to integrate and deploy innovative features faster, scale on-demand, and optimize operational cost. AI powered enterprise applications are one of the fastest growing workloads in the hybrid cloud as organizations develop and deploy in the cloud and scale it on-prem overtime in a consistent manner. The NVIDIA NGC catalog offers GPU-optimized AI software including framework containers and models that allow data scientists and developers to build their AI solutions faster. Red Hat OpenShift is a leading enterprise Kubernetes platform for Hybrid Cloud with integrated DevOps capabilities, enabling organizations globally to fast track AI projects from pilot to production. In this session you will learn to: Leverage the NVIDIA NGC catalog of GPU-optimized containers and models to build AI applications Take advantage of Red Hat OpenShift to automate and streamline the development, deployment, and management of intelligent apps that include AI models, also known as DevOps for MLOps Build a conversational AI solution, using BERT model with NGC and OpenShift on a public cloud Join us after the presentation for a live Q&A session. View the full article
  19. It is indispensable to ensure that a system/service built is able to withstand chaotic conditions as failures are inevitable. Chaos engineering helps in boosting confidence in a system's resilience by “breaking things on purpose.” While it may seem counterintuitive, it is crucial to deliberately inject failures into a complex system like OpenShift/Kubernetes and check whether the system recovers gracefully without any downtime and doesn’t suffer in terms of performance and scalability. Chaos engineering is a discipline to identify potential problems and enhance the system’s resilience. Kraken to the Rescue We developed a chaos tool named Kraken with the aim of “breaking things on purpose” and identifying future issues. Kraken enables the user to effortlessly inject chaos in a Kubernetes/OpenShift cluster. The user can continuously cause chaos and watch how the cluster responds to various failure injections over a long run. Additionally, one can validate if the cluster completely recovers from chaos and returns to its normal healthy state after a single set of failure injections. View the full article
  20. This is a guest post by Amir Kaushanksy, VP product at ARMO. ARMO's unique security approach combined with Openshift enterprise standard results in a total hybrid secured solution. ARMO is an additional security layer for your Kubernetes workloads. It integrates with your CI/CD pipeline, maps the workload, and creates a strong identity: workload DNA. Based on this DNA, it provides ... View the full article
  21. Did you know the Red Hat site reliability engineering (SRE) team has been managing Kubernetes at scale since 2015? We have more experience managing Kubernetes than most cloud providers. This commitment to proactively serving our customers has not only fostered our Kubernetes expertise, it’s given us the scale and efficiencies to restructure our pricing and pass these savings directly on to you. Today, we are announcing, along with Microsoft and IBM, significant price reductions for Red Hat OpenShift Dedicated, Azure Red Hat OpenShift and Red Hat OpenShift on IBM Cloud, coupled with an improved SLA of 99.95% uptime. We have restructured our pricing options to make Red Hat OpenShift more flexible and accessible to our customers. View the full article
  22. This blog will guide you through the creation of a functional GitLab CI/CD pipeline for applications that will be deployed to OpenShift. GitLab is a tool that developers can use to not only host a repository for the code that they write but also use it to create CI/CD pipelines. The ability to create these pipelines is a function that is built into GitLab itself; to get started you simply need to have a configuration file, .gitlab-ci.yml, present in the root directory of your repository... View the full article
  23. Running Windows workloads on Red Hat OpenShift has been a regular request from numerous customers over the years. Given Windows Server enjoys a significant presence in the server operating system market and C# is in the top 6 programming languages, we see there is an enormous opportunity to accelerate customer adoption of Windows Server applications to public cloud via containers. To make this happen, Red Hat partnered with Microsoft to announce a Developer Preview for running Windows Server Containers in OpenShift 4.4. The architecture involves letting Windows run Windows Server containers and Red Hat Enterprise Linux run Red Hat Enterprise Linux containers, with OpenShift orchestrating them both as building blocks to compose your next generation applications. View the full article
  24. Recently, Red Hat launched the Advanced Cluster Management tool, which aims to help organizations overcome the challenges of having applications deployed in multiple clusters and clouds. Red Hat is also actively collaborating with the Tekton project as the solution that will enable teams to build Kubernetes-style delivery pipelines that can fully control and own the complete life cycle of their microservices without having to rely on central teams to maintain and manage a CI server, plugins, and its configurations... View the full article
  25. Earlier this week, Red Hat announced the integration of its Ansible automation solution with its OpenShift Kubernetes container platform. The integration is designed to accelerate the automation and integration between traditional and cloud-based infrastructure. The idea behind this move is to allow customers to upgrade to cloud-based services while preserving existing infrastructure. View the full article
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