How BMW Group detects cost anomalies across 14,000 cloud accounts
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What happened
The data arrives with a one-day lag (T-1), so yesterday’s spend is analyzed and alerted on today. The pipeline is scheduled after AWS CUR delivery is confirmed complete to avoid partial-day data.
BMW Group operates CLEA, a FinOps platform monitoring more than 14,000 cloud accounts. 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. What CLEA forecasts CLEA ingests billing data daily from AWS Cost and Usage Reports (CUR), the primary source, along with the equivalent billing exports from the other providers in BMW Group’s estate.
Sources & evidence
- AWS Machine Learning Blog Primary / official
How BMW Group detects cost anomalies across 14,000 cloud accounts ↗
https://aws.amazon.com/blogs/machine-learning/how-bmw-group-detects-cost-anomalies-across-14000-cloud-accounts/