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Deploying ecosystem Ai on OpenShift

Delve into the deployment of various components of ecosystem.Ai within an OpenShift environment. We start with high-level environment variable setup, persistent volume claims, and server deployment, proceeding to notebook and Grafana deployments. Our focus is on achieving this without changing any of OpenShift's default security policies. Key differences and similarities between OpenShift and Kubernetes are discussed, along with environment-specific configurations and exposure commands for ports. The video also touches on nuances such as user management in Jupyter Notebooks, manual Grafana setup, and considerations for scaling and resource management. The session concludes with a Q&A on best practices for splitting components and transitioning between OpenShift and Kubernetes. 02:30 Setting Up Environment Variables 05:02 Persistent Volume Claims 07:57 Server Deployment 13:47 Notebooks and Grafana Deployment 20:27 Workbench and Runtime Deployment 27:40 Additional Components and Q&A