GCP

GKE cost optimization through node restructuring and workload optimization

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…

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…

Achieving $11K Monthly Savings with GCP Spot Instance Migration

IAMOPS transitioned workloads to GCP Spot instances, saving $11,214 per month while ensuring operational continuity with auto-scaling, robust CI/CD automation, and resilient architecture.

Scalable Load Testing for Enhanced Application Stability

IAMOPS conducted comprehensive load testing for InvoTech, optimizing server configurations and scaling infrastructure to handle peak loads, reducing latency, and ensuring compliance with performance SLAs—all…

Seamless GCP to AWS Migration for Improved Performance and Cost Efficiency

Explore how we migrated our client's infrastructure from GCP to AWS, enhancing scalability, security, and cost management. The new architecture provided high availability, optimized performance,…

Scalable , Cost-Efficient cloud Environment

Building a Scalable Lab Environment: A Robust Setup for Load Testing

IAMOPS implemented a scalable GKE and GitLab-based infrastructure for StarcommIoT, enabling efficient high-volume load testing with 60% cost savings and improved system reliability.

Migration from RENDER to GCP

IAMOPS followed GCP best practices to perform migration from Render to GCP for a FinTech company, resulting in zero downtime, 24/7 support, and increased security…

Migration from Heroku to GCP

By consolidating services from different platforms like Heroku, GCP VMs and Azure VMs, IntelliProbe Solutions accomplished the integration of a GKE infrastructure with GPU.

GCP

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