Course Wiki
Deploying a simple service to Kubernetes — Machine Learning Zoomcamp Module 10
Add notes from the video (PRs are welcome)
Related Pages
Machine Learning Zoomcamp › Module 10: Kubernetes and TensorFlow Serving › Deploying a simple service to Kubernetes
Notes
Add notes from the video (PRs are welcome)
- kind = local kubernetes cluster https://github.com/kubernetes-sigs/kind
- kubectl = tool for interacting with kubernetes cluster https://kubernetes.io/docs/reference/kubectl/
- yaml kubernetes configuration: allocating resources (RAM, CPU), templates, port labels
- kubernetes ports/pods: requests, responses, forwarding, connection refusal
| ⚠️ |
The notes are written by the community. If you see an error here, please create a PR with a fix. |
Key concepts
Related notes
- mlz-m01-crisp-dm
- mlz-m01-setting-up-the-environment
- mlz-m01-summary
- mlz-m05-deployment-to-the-cloud-aws-elastic-beanstalk-op
- mlz-m05-explore-more
- mlz-m05-intro-session-overview
- mlz-m09-introduction-to-serverless
- mlz-m10-creating-a-pre-processing-service
- mlz-m10-deploying-tensorflow-models-to-kubernetes
- mlz-m10-deploying-to-eks
- mlz-m10-explore-more
- mlz-m10-introduction-to-kubernetes
- mlz-m10-overview
- mlz-m10-running-everything-locally-with-docker-compose
- mlz-m10-summary
- mlz-m10-tensorflow-serving