Cloud Cost Optimization

Smarter Cloud Cost Optimization with Rafay

Reduce costs, streamline operations, and scale Kubernetes environments efficiently.

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The Challenge of Cloud Costs, Solved.

Rafay simplifies cloud operations by replacing high, unpredictable costs and under-utilized resources with real-time insights, automated management, and policy-driven cost control.

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Why Choose Rafay for Cost Optimization?

Multi-Tenancy

Gain fine-grained visibility for shared clusters and define cost boundaries with showback or chargeback policies.

Auto Resizing

Automatically monitor and rightsize Kubernetes resources to optimize performance and minimize costs.

Spot Instance Optimization

Leverage spot instances to reduce costs and maximize cluster resource utilization with intelligent policies.

Scheduled Resource Management

Automate resource scheduling to run persistent workloads only when needed and reduce operational costs.

Elimination of Unused Resources

Automatically detect and clean up idle resources with time-to-live (TTL) policies, ensuring short-term resources are freed after expiration to avoid waste.