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Showing content from https://www.redhat.com/en/technologies/cloud-computing/openshift/gitops below:

OpenShift GitOps

Red Hat® OpenShift® GitOps, a feature of Red Hat OpenShift, is an operator that provides a workflow that integrates Git repositories, continuous integration/continuous delivery (CI/CD) tools, and Kubernetes. 

OpenShift GitOps, built on Argo CD, accelerates how teams deliver applications and manage cluster configurations using Git as the source of truth for declarative configurations. It automates deployments and infrastructure updates, ensuring consistency, reducing errors, and maintaining the desired state across multicluster environments. Integrated with Red Hat OpenShift, it enables teams to move faster, scale more easily, and enhance security across the application development lifecycle.

OpenShift GitOps is built around Argo CD as the core upstream project, and provides declarative GitOps for multicluster continuous delivery. As a tool included in OpenShift, our supported operator is tested and hardened, enhancing security across the application development lifecycle. OpenShift GitOps also integrates Argo Rollouts into the OpenShift user experience, and gives you the ability to perform automatic testing to determine whether a promotion or rollback should occur.

Red Hat OpenShift and Red Hat OpenShift GitOps help you:

• Create consistency across cluster and deployment lifecycles.
• Use ArgoCD to maintain cluster resources.
• Consolidate administration and management of applications across on-premise and cloud environments.
• Check the state of clusters, making application constraints known early.
• Rollback code changes across clusters.
• Roll out new changes submitted via Git.
• Configure templates with different environments.
• Support advanced deployment strategies, including blue green and canary, using automated traffic management and testing capabilities with Argo Rollouts.

Find out how DenizBank used Red Hat OpenShift AI and GitOps to scale model serving and improve operational efficiency so data scientists can focus on building models that are more robust and secure.

Define the state of infrastructure, applications, and configurations with declarative code across environments

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Infrastructure and applications are stored and versioned in Git, allowing for traceability and visibility into changes that affect their entire state

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Automate deployment and infrastructure updates to reduce errors and maintain the desired state across multicluster environments

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Preview changes, detect configuration drifts, and remediate automatically or after review

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View history, apply and deploy changes directly to target infrastructure and applications through Git workflows, and capture and trace changes to clusters

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Find out more about recommended practices for Red Hat OpenShift GitOps

GitOps Cookbook: View our collection of useful recipes and examples to follow GitOps practices on Kubernetes

Get hands-on with OpenShift and our GitOps functionality in this on-demand learning path

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