All Cost Optimization in GCP

All Success Stories

Cutting GKE Compute Costs by 65% Through Node Restructuring and Workload Optimization

A structured optimization initiative by IAMOPS reduced GKE compute costs by 65% through workload rightsizing, pod density tuning, and node pool redesign. Guaranteed node count dropped by 70%, CPU utilization improved from under 10% to 35%, and autoscaler responsiveness increased, delivering a scalable, stable foundation for high-traffic gaming operations.

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Reducing GCP Cloud Costs by 48% with Cloud Cost Optimization

IAMOPS helped their client to cut GCP costs nearly in half by migrating workloads to Spot instances, automating non-production shutdowns, rightsizing Cloud SQL, and applying storage lifecycle policies—all while improving governance and efficiency.

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Roy Bernat - IAMOPS's CTO
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