A company with an on-premises data center is developing a new solution on AWS using Kubernetes. Development and test workloads run on Amazon EKS clusters in AWS. Production requires both the EKS control plane and data plane to remain on-premises, but the company prefers an AWS-managed Kubernetes solution with minimal operational overhead. Which option satisfies these requirements with the least operational overhead?
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Correct answer: Install an AWS Outposts server in the on-premises data center. Deploy Amazon EKS on the Outposts server using a local cluster configuration for the production workloads..
Why this is the answer
The correct option is to install an AWS Outposts server and deploy Amazon EKS with a local cluster configuration. This approach places both the EKS control plane and data plane (worker nodes) entirely on-premises on Outposts, fulfilling the requirement for on-premises operation while leveraging AWS-managed EKS. A local cluster configuration ensures the control plane runs locally, minimizing latency and dependency on the AWS Region for core Kubernetes operations. Installing Amazon EKS Anywhere on on-premises hardware (second option) is incorrect because it requires the customer to manage the Kubernetes control plane and underlying infrastructure, increasing operational overhead compared to AWS-managed EKS on Outposts. Deploying EKS on Outposts with an extended cluster configuration (third option) is incorrect because the EKS control plane would reside in the AWS Region, not on-premises, which violates the requirement for both control plane and data plane to be on-premises. Installing EKS Anywhere on an Outposts server (fourth option) is redundant and incorrect. EKS on Outposts already provides an AWS-managed Kubernetes experience on-premises; running EKS Anywhere on top of Outposts adds unnecessary complexity and management overhead.
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