CloudCostDrift: Multi-Cloud Spend Anomaly Detector
Automatically flags unusual spending patterns across AWS, GCP, and Azure accounts and routes alerts to the right team lead before bills spike.
The Problem
Engineering teams discover cloud cost overruns weeks after they happen (during monthly billing cycles), making it impossible to retroactively optimize. Most teams use basic billing dashboards that require manual weekly reviews, and multi-cloud environments have no unified anomaly detection, so a runaway workload in one provider goes unnoticed while another account is optimized.
Target Audience
Startup CTOs and DevOps leads with 5-50 engineers running multi-cloud infrastructure (AWS + GCP or AWS + Azure), particularly seed/Series A companies where cloud costs are 15-40% of burn rate.
Why Now?
Cloud costs are now the #2 burn concern for startups (after payroll), and every founder is asking engineers 'why did spend jump 30%?' — there's visible, active pain that existing tools don't address well.
What's Missing
Existing solutions require weeks of implementation and deep FinOps knowledge; there's no lightweight, plug-and-play anomaly detector that works across multiple clouds and alerts on *changes*, not absolute amounts.
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