This post is co-written with Philipp Karg from BMW Group and Christopher Masurek from Data Reply.
Cost anomalies are hard to spot when you run 14,000 cloud accounts. BMW Group operates Cloud Efficiency Analytics (CLEA), an in-house FinOps system built on AWS with Reply that monitors more than 14,000 cloud accounts across BMW Group’s cloud estate. CLEA began as a set of dashboards in Amazon Quick Sight, which gave BMW employees visibility into their cloud spend. But a dashboard shows what already happened, and only when someone opens it.
To close that gap, CLEA now runs anomaly detection every day and sends email to account owners when spending departs from its expected pattern.
This post walks through the forecasting baseline, the filtering logic that decides which deviations are worth an alert, the alert engine, and the serverless architecture that processes every account daily for about $50 per month in compute.
What CLEA forecasts
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