4 Battle-Tested Ways to Slash AWS EKS Costs by Up to 80%

I’ve been running EKS workloads at scale—and cut costs by 80%. Here’s what worked (and what didn’t), plus some tools to automate FinOps along the way. I’ve just published a new post that shares real-world strategies for scaling and optimizing EKS environments on AWS, with a focus on FinOps to help you achieve significant cost savings.

Key Takeaways:

Spot Instances with Karpenter for cost-efficient scaling
EKS Auto Mode to simplify provisioning and unlock cost savings
KEDA for event-driven autoscaling based on application or custom metrics from elastic/Opensearch, Kafka/MSK etc ..
Savings Plans/Reserved Instances to secure long-term discounts
Bonus: Leverage Graviton processors, track eks per namespace, deployment costs using Kubecost and automate with opensource OpenOps workflows .

This is perfect for anyone managing large-scale Kubernetes workloads and aiming to integrate FinOps for smarter cloud cost management.

📖 Check out the full article here:
https://medium.com/@hackerway/4-proven-strategies-to-cut-aws-iaas-costs-by-80-for-kubernetes-workloads-7dad497e856f

Looking forward to hearing your thoughts!

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4 Battle-Tested Ways to Slash AWS EKS Costs by Up to 80%

Learn how to cut EKS infrastructure costs by up to 80% using Spot Instances, Karpenter, EKS Auto Mode, and FinOps tools like Kubecost and OpenOps

Key Takeaways:

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