Cloud Waste Sniper

Cloud Waste Sniper is an enterprise-grade FinOps platform built to solve a $100B+ annual problem: cloud waste. Enterprises lose billions on idle EC2 instances, orphaned EBS volumes, unused Elastic IPs, and forgotten snapshots. Manual FinOps audits are slow, expensive, and error-prone. Our solution is a fully automated pipeline that scans → prices → compares → patches → commits in seconds, not weeks. The core innovation is our Bright Data integration. Instead of relying on stale, hardcoded pricing data, Cloud Waste Sniper uses Bright Data's SERP API to query Google search results in real-time for live AWS, Azure, and GCP retail prices. AWS pricing pages use aggressive bot detection — Bright Data handles this transparently, returning structured JSON we parse with regex and sanity-range validation. The pipeline works end-to-end: our FastAPI backend triggers an AWS scanner (boto3) that detects 6 resource types. Live prices from Bright Data are fetched and compared across 3 cloud providers. Our custom Terraform parser uses structural brace-depth tracking to surgically modify .tf files — setting count = 0 for removal or downsizing compute instances. Every remediation is committed as a Git branch + PR, creating a full audit trail. The frontend is a multi-page dark SPA with Chart.js visualizations — doughnut charts, horizontal bar charts, and a 12-month savings projection. One-click executive Markdown reports are exportable for stakeholders. Key features: multi-resource scanning (EBS, EC2, Snapshots, Elastic IPs, NAT Gateways, Load Balancers), live multi-cloud price intelligence, auto-remediation via IaC, Git-backed audit trail, interactive dashboards, and scan history logging. The system runs in mock mode with no AWS credentials needed, making it fully demonstrable. Built with Python 3.10+, FastAPI, Bright Data SERP API, boto3, Chart.js 4.x, PyGitHub, and deployed on Vercel.