feat(blueprint): Ray Blueprint

[askulkarni2]

What does this PR do?

This PR adds an experimental blueprint for running Ray Clusters using the KubeRay operator which is provided as a new add-on.

Fixes #491

Motivation

Ray is a popular AI/ML framework for running distributed ML training and inference. Customers who wish to deploy Ray Clusters on EKS can use this example as a reference implementation. The example shows how Ray Clusters can be deployed along with Ingress for model serving as well as a sample monitoring stack using kube-prometheus-stack. Over time we will work towards adding more robustness to the Ray cluster configuration and features such as autoscaling, multi-tenancy, etc.

More

• Yes, I have tested the PR using my local account setup (Provide any test evidence report under Additional Notes)
• Yes, I have added a new example under examples to support my PR
• [N/A] Yes, I have created another PR for add-ons under add-ons repo (if applicable)
• Yes, I have updated the docs for this feature
• Yes, I ran pre-commit run -a with this PR

Note: Not all the PRs required examples and docs except a new pattern or add-on added.

For Moderators

• E2E Test successfully complete before merge?

Additional Notes

The repo local helm chart for kuberay-operator is temporary as the upstream project is still working on having the helm chart published. See ray-project/kuberay#475

[normalfaults]

Are there any operational, observability, and security considerations to add to the README ?

[askulkarni2]

Are there any operational, observability, and security considerations to add to the README ?

Yep, please see https://github.com/aws-ia/terraform-aws-eks-blueprints/tree/feature-ray-addon/examples/ai-ml/ray#monitoring