Connect AWS Compute Optimizer with Terraform and automate your FinOps workflows, faster

AWS Compute Optimizer analyzes your EC2 instances and provides right-sizing recommendations based on actual usage patterns. By integrating with Terraform, you can automatically implement these recommendations through infrastructure-as-code workflows. This eliminates manual intervention and ensures consistent application of cost-saving measures across your entire fleet. The integration enables continuous optimization cycles where Terraform updates instance types, storage configurations, and auto-scaling policies based on Compute Optimizer insights, delivering significant cost reductions while maintaining performance standards.

Combine AWS Compute Optimizer's performance analytics with Terraform's deployment capabilities to create intelligent scaling strategies. Compute Optimizer identifies underutilized or over-provisioned resources by analyzing CPU, memory, and network metrics. Terraform then orchestrates infrastructure changes to match optimal configurations, ensuring your applications run efficiently without performance degradation. This integration is particularly valuable for dynamic workloads where resource requirements fluctuate, enabling automated adjustments that maintain optimal performance while controlling costs through precise resource allocation.

Leverage AWS Compute Optimizer recommendations within Terraform workflows to maintain compliance with organizational policies and governance standards. The integration ensures that all infrastructure changes follow predefined templates and approval processes while incorporating cost and performance optimization insights. Terraform's state management combined with Compute Optimizer's recommendations creates an audit trail for resource modifications, helping organizations demonstrate compliance with budget constraints and performance requirements. This approach standardizes optimization practices across teams while maintaining security and governance protocols.