Containers

Learn how to extend the Red Hat Insights client to execute your custom scripts and automation.

Discover how a containerized virtualization solution presents an entirely new storage paradigm when compared to what traditional virtualization administrators are used to.

Explore how virtualization administrators have interacted with previous hypervisor environments and how they can perform similar actions using OpenShift Virtualization.

Explore using "sugar" in the Butane command-line utility to help enhance day-to-day user experience and reduce the effort it takes to perform common tasks.

Learn how to add OpenStack compute nodes to a control plane to run virtual machines in the final part of this series for OpenStack admins.

This learning exercise will walk you through a simple Red Hat SSO extension

This learning exercise covers configuring a kickstart config file, hosting it on

Learn to create an OCI-compliant bootable container image with image mode for

Image mode for Red Hat Enterprise Linux is a new deployment method that takes a container-native approach to deliver the operating system as a bootc container image.

Image mode for Red Hat Enterprise Linux (RHEL) uses bootable containers to provide a single source of truth for operating systems and application containers.

Get an introduction to the Podman Desktop GUI tool and explore features and extensions that empower you to streamline your containerized application development process.

The AI Lab Recipes repository offers recipes for building and running containerized AI and LLM applications to help developers move quickly from prototype to production.

Explore the advantages of Podman AI Lab, which lets developers easily bring AI into their applications without depending on infrastructure beyond a laptop.

Podman Desktop's Red Hat Account Extension offers easier access to products like Red Hat Enterprise Linux and helps get your job done on your chosen desktop OS.

Learn how to build a containerized bootable operating system to run AI models using image mode for Red Hat Enterprise Linux, then deploy a custom image.

A common platform for machine learning and app development on the hybrid cloud.

Applications based on machine learning and deep learning, using structured and unstructured data as the fuel to drive these applications.

Consider using the fuse-overlayfs storage driver for your OpenShift Dev Spaces cloud development environment to enable faster builds and optimize storage.

Red Hat provides AI/ML across its products and platforms, giving developers a portfolio of enterprise-class AI/ML solutions to deploy AI-enabled applications in any environment, increase efficiency, and accelerate time-to-value.

Learn how to create a Red Hat OpenShift AI environment, then walk through data labeling and information extraction using the Snorkel open source Python library.

Enterprise-grade artificial intelligence and machine learning (AI/ML) for developers, data engineers, data scientists, and operations.

Integrate generative AI in your applications with Podman AI Lab, an open source extension for working with large language models in a local environment.

Learn how to develop modern Java applications using JBoss EAP 8 and deploy them

This exercise, created by Ian Lawson, demonstrates how you can go from initial

Discover how you can automate the steps needed to customize AWS cloud images using Red Hat Enterprise Linux image builder and Packit.
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