A solutions architect must design a solution to help manage their customer’s containerized applications. Currently, the customer workload runs in Docker containers on top of Amazon Elastic Compute Cloud (Amazon EC2) instances and on-premises servers that run a hybrid Kubernetes cluster. The customer wants to migrate part of their hybrid Kubernetes deployment to the cloud with a minimum amount of effort, and they want to keep all the native features of Kubernetes. The customer also wants to reduce their operational overhead for managing their Kubernetes cluster. Which managed AWS service should the solutions architect suggest to best satisfy these requirements?1 pointAWS Fargate with Amazon Elastic Container Service (Amazon ECS)AWS Fargate with Amazon Elastic Kubernetes Service (Amazon EKS)Amazon Elastic Container Service (Amazon ECS)Amazon Elastic Kubernetes Service (Amazon EKS)
Question
A solutions architect must design a solution to help manage their customer’s containerized applications. Currently, the customer workload runs in Docker containers on top of Amazon Elastic Compute Cloud (Amazon EC2) instances and on-premises servers that run a hybrid Kubernetes cluster. The customer wants to migrate part of their hybrid Kubernetes deployment to the cloud with a minimum amount of effort, and they want to keep all the native features of Kubernetes. The customer also wants to reduce their operational overhead for managing their Kubernetes cluster. Which managed AWS service should the solutions architect suggest to best satisfy these requirements?1 pointAWS Fargate with Amazon Elastic Container Service (Amazon ECS)AWS Fargate with Amazon Elastic Kubernetes Service (Amazon EKS)Amazon Elastic Container Service (Amazon ECS)Amazon Elastic Kubernetes Service (Amazon EKS)
Solution
The best managed AWS service to satisfy these requirements would be Amazon Elastic Kubernetes Service (Amazon EKS). This service is fully compatible with applications running on standard Kubernetes environments and it reduces the operational overhead by managing the Kubernetes control plane for the customer. This allows the customer to keep all the native features of Kubernetes while also reducing the effort required to manage their Kubernetes cluster.
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