DevSecOps

This Red Hat solution pattern implements key aspects of a modern IoT/edge architecture in an exemplary manner. It uses Red Hat OpenShift Container Platform and various middleware components optimized for cloud-native use. This enterprise architecture can serve as a foundation for an IoT/edge hybrid cloud environment supporting various use cases like over-the-air (OTA) deployments, driver monitoring, AI/ML, and others. Bobbycar aims to showcase an end-to-end workflow, from connecting in-vehicle components to a cloud back-end, processing telemetry data in batch or as stream, and training AI/ML models, to deploying containers through a DevSecOps pipeline and by leveraging GitOps to the edge.

For developers and platform engineers using Backstage, the ability to test

Red Hat Developer Hub 1.5 introduces Adoption Insights, a plugin that provides

Explore a structured method to automate creating and updating execution or decision environments and delegate responsibilities effectively across teams.

Learn about the benefits and security features of image mode for Red Hat Enterprise Linux, including zero-drift supply chain.

Red Hat Service Interconnect v2 is a substantial redesign driven by four years

Explore how user namespaces can enable nested containers in OpenShift Dev Spaces, allowing developers to achieve flexibility while maintaining security.

Get your own Backstage instance hosted on a Kubernetes cluster in less than 10 minutes. This tutorial explains how to deploy Red Hat Developer Hub on OpenShift.

Discover 5 potential use cases for Event-Driven Ansible, from network management and latency reduction to running health checks on your infrastructure.

Learn how to set up a Podman container to run on OpenShift and integrate it with a GitLab runner with this tutorial.

Learn how to forward OpenShift logs to Azure Monitor Logs to streamline your monitoring and troubleshooting process and boost performance.

In this learning exercise, you will learn how to secure your Jenkins pipeline

Get an introduction to the inner and outer loop framework and explore tooling and components that help platform engineers implement the DevSecOps cycle.

In this learning exercise, we'll set up the ability to sign and verify commits

In this learning exercise, we'll learn how to automate the signing and

Learn how to use the operators-installer Helm chart, a production-tested solution for operator management with GitOps.

This guide helps you understand OpenShift audit logs and classify them based on the resource involved and the action performed.

Learn about a new Red Hat OpenShift Service on AWS (ROSA) with hosted control planes feature that streamlines access to your ROSA clusters.

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.

Learn about the open source Backstage project and how it empowers developers by providing a central platform to build customizable developer portals.

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.

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.

Discover how Red Hat Trusted Software Supply Chain makes it easier to create, deploy, and host security-focused applications in the container era.