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Strategic Resource Allocation and Cost Optimization on AWS Using Terraform
IAMOPS optimized Agrivon’s AWS infrastructure by consolidating load balancers, standardizing deployments, and restructuring ECS clusters, reducing operational complexity and costs. With Terraform-driven automation, the solution cut resource costs by 30%, improved deployment times by 40%, and streamlined cluster management by 50%.
DynamoDB performance enhancement and cost optimization
By configuring DynamoDB autoscaling and fine-tuning capacity thresholds, IAMOPS reduced throttling for Sociavia, improved application responsiveness, and cut costs through dynamic resource management.
Azure Infrastructure Realignment for Enhanced Security and Cost Efficiency
Glomaxia’s Azure infrastructure was restructured to consolidate accounts, enhance security with private endpoints and VPNs, implement load balancing, and automate processes, achieving a 66% cost reduction and 60% fewer manual interventions.
Achieving $300 Monthly Savings with Automated EKS and RDS Start/Stop Using GitHub Actions
IAMOPS automated SkillForge's EKS and RDS start/stop processes with GitHub Actions, leading to a monthly cost reduction of up to $300, improved operational efficiency, and secure resource management.
Enhancing Cloud Cost Efficiency with Automated Alerting System using AWS Lambda
Freshfruit.ai enhanced cost management by automating daily AWS and MongoDB cost analysis with Lambda and Slack alerts, reducing manual effort and enabling faster response to anomalies for optimized cloud expenses.
Cost-Optimized and Scalable Deployment of SQL Flow Application
SQLFlow was deployed using Auto Scaling Groups and Spot instances, reducing costs by 60% and enabling dynamic scaling for high availability and improved performance across Illuminate Tech’s infrastructure.
Scheduled Auto-Scaling For Peak and Low Traffic Efficiency
With an automated scaling solution using AWS Lambda and EventBridge, Virora’s application now dynamically adjusts resources based on traffic patterns, boosting performance during peak times and cutting costs during off-peak periods.

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