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[YUNIKORN-2814] [Docs] Add Yunikorn on spark(AWS) link to Run spark jobs page #467

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[YUNIKORN-2814] [Docs] Add Yunikorn on spark(AWS) link to Run spark jobs page #467

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7 changes: 7 additions & 0 deletions docs/user_guide/workloads/run_spark.md
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Expand Up @@ -164,3 +164,10 @@ to YuniKorn and being considered as a job. The job is scheduled and running as t
YuniKorn allocates the driver pod to a node, binds the pod and starts all the containers. Once the driver pod gets started,
it requests for a bunch of executor pods to run its tasks. Those pods will be created in the same namespace as well and
scheduled by YuniKorn as well.

## Using YuniKorn as a custom scheduler for Apache Spark on Amazon EMR on EKS

YuniKorn can be configured as a custom scheduler for Apache Spark jobs on Amazon EMR on EKS. This setup allows our resource management and scheduling algorithms on Kubernetes clusters.

For a detailed guide on how to set up YuniKorn with Apache Spark on Amazon EMR on EKS, please refer to the [AWS EMR documentation](https://docs.aws.amazon.com/emr/latest/EMR-on-EKS-DevelopmentGuide/tutorial-yunikorn.html).