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Answer: Leverage Kubernetes Metrics Server for horizontal pod autoscaling., Deploy Kubernetes Cluster Autoscaler to adjust the cluster's node count.
To efficiently scale Amazon EKS with minimal operational overhead, the most suitable options are: B) Use the Kubernetes Metrics Server to activate horizontal pod autoscaling, and C) Use the Kubernetes Cluster Autoscaler to manage the number of nodes in the cluster. The Kubernetes Metrics Server provides resource usage metrics that facilitate horizontal pod autoscaling based on the current workload. The Kubernetes Cluster Autoscaler adjusts the number of nodes in the cluster according to the resource requirements of the workloads. These two options together ensure that both the pods and nodes in the EKS cluster scale based on demand, minimizing manual intervention and operational effort.
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A company utilizes Amazon EKS for containerized applications with fluctuating workloads. What is the most efficient scaling approach with minimal operational overhead?
A
Implement AWS Lambda to dynamically resize the EKS cluster.
B
Leverage Kubernetes Metrics Server for horizontal pod autoscaling.
C
Deploy Kubernetes Cluster Autoscaler to adjust the cluster's node count.
D
Integrate Amazon API Gateway with Amazon EKS.
E
Employ AWS App Mesh for monitoring network traffic.
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