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This article was originally published at ARO with Nvidia GPU Workloads | Red Hat Cloud Experts ARO guide to running Nvidia GPU workloads. Prerequisites oc cli Helm jq, moreutils, and gettext package An ARO 4.14 cluster Note: If you need to install an ARO cluster, please read our ARO Terraform Install Guide. Please be sure if you’re installing or using an existing ARO cluster that it is 4.14.x or higher. Note: Please ensure your ARO cluster was created with a valid pull secret (to verify make sure you can see the Operator Hub in the cluster’s console). If not, you can follow these instructions. ...

This article was originally published at What to consider when using Azure AD as IDP? | Red Hat Cloud Experts In this guide, we will discuss key considerations when using Azure Active Directory (AAD) as the Identity Provider (IDP) for your ARO or ROSA cluster. Below are some helpful references: Configure ARO to Use Azure AD Configuring IDP for ROSA, OSD, and ARO Default Access for All Users in Azure Active Directory Once you set up AAD as the IDP for your cluster, it’s important to note that by default, all users in your Azure Active Directory instance will have access to the cluster. They can log in using their AAD credentials through the OpenShift Web Console endpoint: ...

Great! You just started your Azure journey and now it’s time to scale your infrastructure to meet the growing demands of your business. Microsoft Azure offers a robust cloud platform that can grow with you, but where do you begin? This article will introduce you to three fundamental building blocks for your Azure journey: Azure Subscriptions, Microsoft Entra ID (formerly Azure Active Directory), and Azure Enterprise Scale Landing Zones. Understanding the Basics Microsoft Entra ID (Former Azure Active Directory) Microsoft Entra ID, previously known as Azure Active Directory (Azure AD), is the backbone of identity and access management in Azure. It is a cloud-based identity and access management service that provides: ...

Introduction: In the realm of cloud computing, optimizing costs is paramount for businesses leveraging Microsoft Azure. Azure offers two primary cost-saving mechanisms: Azure Reservations and Azure Savings Plans. Both options come with distinct advantages, disadvantages, and usage scenarios. In this comprehensive guide, we’ll explore these features, penalties, and ideal use cases to empower you in making informed decisions tailored to your business needs. Understanding Azure Reservations: Azure Reservations provide businesses the opportunity to commit to one-year or three-year plans for various products within the Azure ecosystem. The commitment entails a promise of usage, enabling significant discounts of up to 72% off pay-as-you-go prices. ...

As I embark on my journey of learning about artificial intelligence (AI), I am discovering the fascinating world of large language models (LLMs) and their applications in various technologies. In this article, I aim to share my newfound knowledge and insights with others who are also beginning their journey in AI. We will explore OpenAI, one of the leading organizations in AI research and development, and compare its offerings with Microsoft’s Azure OpenAI service. ...

As we continue our journey into artificial intelligence (AI), it’s important to understand how AI is transforming different industries and the ethical and legal challenges associated with its widespread adoption. In this new post, we will explore AI’s real-world applications and the complexities of ethical and legal concerns in detail. AI in Healthcare AI is making significant advances in healthcare, improving patient care and medical research: Diagnostics: AI-powered algorithms can analyze medical images, such as X-rays, MRIs, and CT scans, to identify diseases like cancer or fractures with high accuracy. These systems can serve as a second opinion for radiologists, improving diagnostic accuracy and efficiency. Personalized Medicine: AI enables the development of personalized treatment plans based on a patient’s unique genetic makeup. This approach can lead to more effective and targeted therapies, improving patient outcomes. Drug Discovery: AI accelerates the process of discovering new drugs by analyzing vast amounts of data to identify potential compounds and predict their efficacy. This reduces the time and cost associated with bringing new drugs to market. Remote Monitoring: AI-powered wearable devices and remote monitoring tools enable healthcare providers to track patients’ health in real-time, offering proactive care and reducing hospital readmissions. Administrative Efficiency: AI streamlines administrative tasks such as scheduling, billing, and insurance claims processing, freeing up healthcare professionals to focus on patient care. AI in Finance AI is reshaping the finance industry by providing innovative solutions to complex problems: ...

This article was originally published at Azure Front Door with ARO ( Azure Red Hat OpenShift ) | Red Hat Cloud Experts Securing exposing an Internet facing application with a private ARO Cluster. When you create a cluster on ARO you have several options in making the cluster public or private. With a public cluster you are allowing Internet traffic to the api and *.apps endpoints. With a private cluster you can make either or both the api and .apps endpoints private. ...

Introduction OpenShift, developed by Red Hat, extends Kubernetes to provide a more robust platform for deploying and managing containerized applications in a complete application platform. It integrates the core features of Kubernetes with additional tools and services to enhance developer productivity and operational efficiency. This guide aims to introduce beginners to deploying applications on OpenShift Local, a streamlined method to run OpenShift clusters locally for development and testing. Using a local OpenShift environment, offers several benefits, especially for developers who are new to OpenShift or Kubernetes: ...

Just sharing an awesome learning resource I found recently. It will introduce you to the application development cycle leveraging OpenShift’s tooling & features with a special focus on securing your environment using Advanced Cluster Security for Kubernetes (ACS). You will get a brief introduction in several OpenShift features like OpenShift Pipelines, OpenShift GitOps, and OpenShift DevSpaces. Check out at https://devsecops-workshop.github.io/

UBI stands for Universal Base Image. It’s a type of container-based image that Red Hat has created and maintains. UBI images are derived from Red Hat Enterprise Linux (RHEL) and are designed to be a foundation for building containerized applications. Here’s why UBI is significant and why you might consider to use it: Compatibility with RHEL: UBI is based on RHEL, which means it inherits the reliability, security, and performance of RHEL. This compatibility is crucial for organizations that already rely on RHEL for their enterprise applications. Open and Freely Distributable: Unlike RHEL, which requires a subscription, UBI can be used freely. This means you can build your container images on UBI and redistribute them without worrying about RHEL licensing, while still benefiting from the stability and security of a RHEL base. Security and Compliance: UBI images benefit from Red Hat’s commitment to security and compliance. They receive regular updates and patches, which is essential for maintaining security in containerized environments. Broad Ecosystem and Support: Since UBI is based on RHEL, it has broad support from software vendors and the open-source community. This extensive ecosystem ensures compatibility with a wide range of applications and tools. Ease of Certification: For software vendors, using UBI can simplify the process of certifying their applications for RHEL, as UBI containers can be run on both RHEL and non-RHEL hosts. Container Portability: Containers built on UBI can run anywhere that supports container workloads, including Red Hat OpenShift, Kubernetes, and even non-Red Hat platforms. This portability is crucial for organizations adopting a hybrid or multi-cloud strategy. Consistency Across Environments: UBI helps maintain consistency across development, testing, and production environments, reducing the “it works on my machine” problem. Support for Different Architectures: UBI images are available for multiple architectures, including x86_64, s390x, and others, which is important for organizations with diverse infrastructure needs. In summary, UBI combines the reliability and security of RHEL with the flexibility and freedom of a container-based image that can be freely shared and redistributed. It’s an excellent choice for organizations looking to build containerized applications that are secure, compliant, and compatible with a wide range of environments and platforms. See more here