📄️ Introduction
Amazon EMR on EKS enables you to submit Apache Spark jobs on-demand on Amazon Elastic Kubernetes Service (EKS) clusters. With EMR on EKS, you can consolidate analytical workloads with your other Kubernetes-based applications on the same Amazon EKS cluster to improve resource utilization and simplify infrastructure management.
📄️ EMR on EKS with Karpenter
Introduction
📄️ EMR on EKS Observability
Monitoring Amazon EMR on EKS with Amazon Managed Prometheus and Amazon Managed Grafana
📄️ EMR Runtime with Spark Operator
Introduction
📄️ EMR on EKS with ACK Controller
Introduction
📄️ EMR on EKS with CDK
Introduction
📄️ EMR on EKS with Fargate
This example shows how to provision a serverless cluster (serverless data plane) using Fargate Profiles to support EMR on EKS virtual clusters.
📄️ EMR on EKS Data Platform with AWS CDK
In this document we will show you how you can use AWS CDK and the Analytics Reference Architecture (ARA) library to deploy an end to end data analytics platform. This platform will allow you to run Spark interactive Session in Jupyter notebook with EMR Studio supported by EMR on EKS and run Spark jobs with EMR on EKS. The architecture below shows the infrasturcture you will deploy using the CDK and ARA library.