A company will deploy an Amazon EKS cluster for a workload that will create an unpredictable number of stateless pods, often many at once during rapid replica scaling. How should the cluster be configured to MAXIMIZE node resilience?
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Correct answer: Configure the workload to use Kubernetes topologySpreadConstraints that distribute pods based on Availability Zone..
Why this is the answer
The correct answer maximizes node resilience by distributing pods across Availability Zones (AZs) using topologySpreadConstraints. This prevents a single AZ outage from affecting all pods, ensuring high availability for the stateless workload. Incorrect options: Deploying the EKS control plane into a separate cluster is an anti-pattern and does not improve workload node resilience; the control plane should manage the workload nodes within the same cluster. Using fewer, larger instance types can reduce resilience. If a large node fails, more pods are affected compared to a scenario with more, smaller nodes. Underprovisioning compute capacity with Cluster Autoscaler would lead to performance issues and pod scheduling failures, not improved resilience. The Cluster Autoscaler should be configured to scale appropriately to meet demand.
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