Shypd.aiThe largest open index of AI toolskubernetes-for-ml-engineers is an Open Source guide that helps ML engineers deploy containerized applications to Kubernetes. It provides step-by-step instructions for setting up a local Kubernetes cluster and deploying a FastAPI app.
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kubernetes-for-ml-engineers offers a comprehensive, step-by-step guide for Machine Learning engineers to understand and implement basic Kubernetes concepts. The repository details how to install essential tools like Docker, Kind, and kubectl, and then walks users through creating a local Kubernetes cluster. It covers writing business logic for a simple FastAPI application, containerizing it with Docker, and subsequently building, running, and pushing the Docker image to the local Kubernetes cluster. Finally, the guide explains how to deploy the application as a Kubernetes service and test its functionality, making it an invaluable resource for those looking to deploy ML applications in a containerized environment.
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