Infrastructure Cost Optimization (Python, Terraform, PostgreSQL, Grafana, Prometheus) overview

A FinOps platform that continuously monitors, analyzes, and optimizes cloud infrastructure spending across multi-cloud environments. Python scripts and scheduled jobs collect cost and usage data from cloud provider APIs, normalize it into a common schema, and load it into PostgreSQL for analysis. Terraform modules encode rightsizing recommendations as infrastructure changes that can be reviewed and applied through pull requests. Grafana dashboards visualize cost trends, budget burn rates, and anomaly alerts with drill-down by team, service, and resource type. Prometheus collects utilization metrics to correlate with spending data for waste detection. The tradeoff is the lag between cost data availability and actionable recommendations, and the organizational challenge of attributing shared infrastructure costs.