Patterns

The goal of this demo is to demonstrate a Chatbot LLM application augmented with data from Red Hat product documentation running on Red Hat OpenShift. It deploys an LLM application that connects to multiple LLM providers such as OpenAI, Hugging Face, and NVIDIA NIM. The application generates a project proposal for a Red Hat product.

This pattern uses OpenShift Virtualization to simulate an edge environment for VMs.

This variant of the Validated Patterns framework exists to support GitOps outside of Kubernetes.

A multicloud pattern using cockroachdb and submariner, deployed via RHACM.

This pattern helps you get started with deploying confidential containers in OpenShift Container Platform.

A distributed cloud-native application that implements key aspects of a modern IoT architecture.

This pattern is based on a demo implementation of an automated data pipeline for sepsis analysis previously developed by Red Hat.

This pattern is for deploying the Hosted Control Plane (HyperShift) service.

This pattern demonstrates a horizontal solution for Industrial Edge use cases.

This pattern is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat. The pattern is modified to utilize Intel AMX feature.

This is extension of Multicloud GitOps pattern with additional application to show the value of using Intel AMX.

This is extension of Multicloud GitOps pattern with Red Hat Openshift AI component to show the value of using Intel AMX.

This is extension of Multicloud GitOps pattern with additional application to show the value of using Intel QAT.

This is an extension of Multicloud GitOps pattern with additional application using Intel SGX.

This is an extension of the Multicloud GitOps pattern with an additional application to show the value of using Intel SGX.

A pattern for Kong Gateway Control Plane and Data Plane demo.

This pattern is based on a demo implementation of an automated data pipeline for chest X-ray analysis previously developed by Red Hat.

This pattern demonstrates how Red Hat OpenShift Data Science and MLFlow can be used together to build an end-to-end MLOps platform. It demonstrates this using a credit card fraud detection use case.

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way.

This pattern helps you develop and deploy applications on an open hybrid cloud in a stable, simple, and secure way. It includes persistent storage for stateful applications.

This pattern is derived from the multi-cloud GitOps pattern with added products to provide a complete DevSecOps workflow.

This pattern helps you deploy stack enabling Intel Gaudi Accelerator and it also deploys RAG application - Chat QnA

This pattern is a starting point for using Red Hat OpenShift AI.

This pattern uses OpenShift Virtualization to simulate an edge environment for VMs, protected by Veeam Kasten.

This variant of the Validated Patterns framework deploys a Regional Disaster Recovery Setup across multiple different regions

This pattern demonstrates a pattern that models the store side of a retail application.

This pattern enables you to secure your applications using Red Hat Service Mesh.