Cloud Cost Optimizer

Overview

Cloud bills are notoriously opaque. This tool provides clarity and takes automated action — analyzing your entire AWS environment and making data-driven optimization decisions.

Features

• Resource inventory — discovers every EC2, RDS, Lambda, and ECS resource across all regions
• Utilization analysis — CloudWatch metrics processed to identify consistently underutilized resources
• Right-sizing recommendations — ML model trained on 10M+ resource configurations suggests optimal instance types
• Automated actions — with approval, the system executes changes via Terraform
• Savings tracker — dashboard showing realized vs. projected savings over time

Technical Approach

The analyzer runs as a daily Lambda function that pulls CloudWatch metrics via the AWS Cost Explorer API. Results feed into a PostgreSQL database, where a Python analysis layer applies heuristics and ML scoring.

The React frontend presents findings in a prioritized action queue — sorted by potential savings — so engineers can review and approve changes with one click.

Results Across Clients

• Average savings: 38-45% reduction in monthly AWS spend
• Largest single optimization: $47k/month saved for a Series B startup
• Zero production incidents from automated changes (conservative confidence thresholds)