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  Photo by Tim Mossholder Red Hat OpenShift Data Science is a powerful platform designed for data scientists and developers working on artificial intelligence (AI) applications. Let’s dive into the details: What is Red Hat OpenShift Data Science? Red Hat OpenShift Data Science provides a fully supported environment for developing, training, testing, and deploying machine learning models. It allows you to work with AI applications both on-premises and in the public cloud . You can use it as a managed cloud service add-on to Red Hat’s OpenShift cloud services or as self-managed software that you can install on-premise or in the public cloud. Key Features and Benefits : Rapid Development : OpenShift Data Science streamlines the development process, allowing you to focus on building and refining your models. Model Training : Train your machine learning models efficiently within the platform. Testing and Validation : Easily validate your models before deployment. Deployment Flexibi...

Kubernetes Ingress is an API object that provides HTTP and HTTPS routing to services based on rules. It acts as an entry point for external traffic into the cluster, managing external access to services. Ingress allows you to define how external HTTP/S traffic should be processed and routed to different services within the cluster. If you want to start with the beginning then you can click here Key components and concepts of Kubernetes Ingress include: 1. Ingress Resource:    - An Ingress resource is created to define the rules for how external HTTP/S traffic should be handled. 2. Rules:    - Rules define how requests should be routed based on the host and path specified in the incoming request. 3. Backend Services:    - Ingress directs traffic to backend services based on the defined rules. 4. TLS Termination:    - Ingress can handle TLS termination, allowing you to configure HTTPS for your services. 5. Annotations:    - Annotations pr...

  I am using Mac OS with M1 [Apple chip]. You can read my other article for beginning with Kubernetes here To see the Kubernetes dashboard on Docker Desktop for Mac OS, follow these steps: Open Docker Desktop. Click on the Kubernetes tab. Under Dashboard , click on Open in browser . This will open the Kubernetes dashboard in your web browser. To control the Kubernetes cluster and its pods, you can use the kubectl command-line tool. kubectl is a command-line interface for running commands against Kubernetes clusters. To get started with kubectl , you will need to create a Kubernetes configuration file. This file will tell kubectl how to connect to your Kubernetes cluster. To create a Kubernetes configuration file, follow these steps: Open a terminal window. Run the following command: kubectl config view --minify > config This will create a Kubernetes configuration file called config in your current working directory. Move the config file to the following directory: ...