EKS Long Term Savings |Cost| Zarthi

KS Long-Term Savings focuses on reducing sustained Kubernetes infrastructure costs by applying commitment-based pricing and right-sizing strategies for Amazon EKS workloads. Zarthi evaluates cluster utilization and recommends the optimal mix of Compute Savings Plans, Reserved Instances (for EC2 worker nodes), and Spot Instances where appropriate.

Key Outcomes


Reduced compute costs with Savings Plans/RIs

Optimized node sizing and scaling

Improved utilization and predictable monthly spend

Governance with monitoring and cost controls

The approach includes node group optimization, autoscaling tuning (Cluster Autoscaler/Karpenter), workload bin-packing, and storage/network cost reviews. The outcome is predictable spend, lower unit costs, and improved efficiency without compromising performance or availability.

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