AWS Cost best practices for EKS

Amazon Elastic Kubernetes Service (EKS) is a fully managed Kubernetes service designed to facilitate the running, scaling, and securing of containerized applications, yet managing costs effectively can be challenging as organizations grow. To optimize costs in EKS deployments, several best practices are recommended, including rightsizing EC2 instances by analyzing resource needs and potentially using Spot Instances for non-critical workloads to save on expenses. Cluster autoscaling can automatically adjust the number of nodes based on demand, while Horizontal Pod Autoscaling (HPA) ensures the right number of pods are deployed by monitoring CPU utilization. Offloading database management to Amazon RDS for Kubernetes can reduce resource use, and implementing resource quotas and limits helps control consumption and prevent resource overuse. Regularly monitoring costs with tools like AWS Cost Explorer is crucial for identifying inefficiencies, and using Savings Plans or Reserved Instances can provide significant discounts for predictable workloads.

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