Overprovisioning is a major contributor to rising cloud bills, but optimizing these resources can be challenging. This post outlines eight practical tactics to reduce Amazon Elastic Kubernetes Service (EKS) costs without compromising performance. Key strategies include following Amazon EKS cost optimization pillars, utilizing Kubernetes cost monitoring tools, rightsizing virtual machines, leveraging autoscaling, setting resource limits, scheduling and decommissioning resources, using spot instances, and employing automation tools. A case study demonstrates how implementing these strategies can dramatically lower costs, showcasing a reduction from $414 to $138 per month with CAST AI.
Table of contents
1. Follow the Amazon EKS cost optimization pillars2. Understand your utilization3. Rightsize your virtual machines4. Make good use of autoscaling5. Set resource requests and limits6. Practice scheduling and decommissioning resources7. Use spot instances8. Use an automation tool for optimizing EKS costsA Practical Example: Automated EKS Cost Optimization3 Comments
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