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Kubernetes Cost Optimization Without Sacrificing Reliability

Practical strategies to reduce cloud spend while maintaining uptime SLAs for production workloads.

Cloud
Kubernetes Cost Optimization Without Sacrificing Reliability

Start With Visibility

You cannot optimize what you cannot measure. Implement Kubecost or cloud-native cost allocation tags before changing workloads.

Rightsizing and Autoscaling

Most clusters are over-provisioned. Use VPA recommendations, HPA for variable traffic, and cluster autoscaling for node efficiency.

Spot and Reserved Capacity

Mix spot instances for fault-tolerant workloads with reserved instances for baseline capacity — typical savings range from 30–60%.