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sayakpaul / ml-deployment-k8s-fastapi

This project shows how to serve an ONNX-optimized image classification model as a web service with FastAPI, Docker, and Kubernetes.
https://medium.com/google-developer-experts/load-testing-tensorflow-serving-and-fastapi-on-gke-411bc14d96b2
Apache License 2.0
198 stars 36 forks source link

[WIP] add kustomize overlays for exp 1 #32

Open deep-diver opened 2 years ago

sayakpaul commented 2 years ago

@deep-diver thanks for clarifying the doubts. Let's keep this PR open as we make progress with the experiments.

deep-diver commented 2 years ago

@sayakpaul FYI, GKE's Service and Deployment yamls for TF Serving are maintained in .kube/base_2 and .kube/experiments_2 under this branch. If there is a better place, I am willing to move the files

sayakpaul commented 2 years ago

That's fine.