Securing the Software Supply Chain with Jenkins, TAS, and TPA: A Red Hat Approach
In this learning exercise, you will learn how to secure your Jenkins pipeline
In this learning exercise, you will learn how to secure your Jenkins pipeline
Learn how to use the OpenShift Virtualization Windows UEFI installer pipeline to prepare a golden image of Windows 11 in an automated, repeatable manner.
In this learning exercise, we'll learn how to automate the signing and
For this post, we are going to look at creating a Next.js application and
Learn how to build and run containers locally using Podman Desktop, then configure an automated CI/CD pipeline that will build your container images and push them to an image registry.
This article aims to describe Apps and Stacks container images from two perspectives: user’s and developer's.
Find out what new features and capabilities have been provided in Red Hat
The Adoptium project has achieved reproducible builds for Java versions 21 and 22 across Linux, Windows, and Mac platforms. This capability ensures an independently verifiable path from source to binary code, enhancing trust in the software and its dependencies.
Discover how using Argo CD with ApplicationSet and generators provides a robust and flexible solution for managing deployments in complex Kubernetes environments.
Learn about the open source Backstage project and how it empowers developers by providing a central platform to build customizable developer portals.
Download this report to learn about the state of DevOps today and where it’s headed i
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.
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.
This article explains the concept of cloud-native canary deployment strategy using Argo Rollouts following a GitOps model, including a demo.
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.
Enterprise-grade artificial intelligence and machine learning (AI/ML) for developers, data engineers, data scientists, and operations.
Get an introduction to OpenShift Pipelines for automated builds and deployment.
Catch vulnerabilities early with a self-serve developer experience imbued with the organization’s security practices, for distributed teams to comply with security and compliance requirements. Development teams leverage solution templates with integrated security checks to standardize and expedite security-focused golden paths with Red Hat Trusted Application Pipeline. Remove toil in finding and fixing vulnerabilities early. Increase security posture in the CI/CD pipeline with an automated chain of trust that verifies compliance are met.
The Red Hat OpenShift application platform is comprised of many components
Learn how to implement a complete CI/CD pipeline using Source-to-Image builds deployed in Azure Red Hat OpenShift with Azure tooling.
Join Red Hat Developer for the software and tutorials to develop cloud applications using Kubernetes, microservices, serverless and Linux.
Explore cloud-native blue/green deployment strategy using Argo Rollouts following a GitOps model in this demonstration.
Get an introduction to Red Hat Developer Hub, based on the open source Backstage project, and discover how it streamlines the software development process.
Development teams today face a huge amount of cognitive overload due to the many