Case Study: AWS achieves faster cloud asset visibility with CloudQuery

A CloudQuery Case Study

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AWS answers cloud asset questions in minutes with CloudQuery

AWS, a major cloud services provider, faced the challenge of gaining timely and comprehensive visibility into its vast cloud infrastructure to address critical security vulnerabilities and operational questions. Their existing manual processes and disparate data sources were too slow, often taking days to answer urgent queries, which created significant security risks. To solve this, they turned to vendor CloudQuery to implement a cloud asset inventory solution.

CloudQuery designed and implemented a centralized inventory system based on five core principles: freshness, completeness, normalization, queryability, and extensibility. This solution provided AWS with real-time data synchronization, complete coverage of over 240 services, and a normalized data model for cross-service queries. The result was a dramatic increase in decision velocity, enabling AWS to identify and remediate affected systems, such as unencrypted databases, in minutes instead of days. This measurable improvement in response time was critical for containing potential security breaches.


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