Patterns
Browse through available patterns and their respective documentation for deployment and operation. Filter patterns by type, industry, and product.
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 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.
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 is a starting point for using Red Hat OpenShift AI.
This pattern enables you to secure your applications using Red Hat Service Mesh.