宝马集团如何检测 14,000 个云账户的成本异常
原标题：How BMW Group detects cost anomalies across 14,000 cloud accounts
AI 摘要
宝马集团与 Data Reply 合作构建了内部 FinOps 系统 CLEA，基于 AWS 监控超过 14,000 个云账户的成本。CLEA 使用 Meta 开源预测库 Prophet 为每个账户-服务组合建立 365 天成本基线，每日进行异常检测，并通过邮件向账户负责人发送告警。系统采用无服务器架构，每天处理全部账户约需 50 美元计算成本，完整运行约 20 分钟。
正文节选
How BMW Group detects cost anomalies across 14,000 cloud accounts 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 vis