Case Study: Adloox achieves faster, more scalable ad insights with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Adloox Case Study

Adloox Delivering faster, more granular insights for clients following a switch to Google Cloud

Adloox, a France-based ad-verification and insights platform, needed to handle massive data volumes, improve scalability, and reduce the time and cost of managing its infrastructure as digital ad traffic fluctuated. To support faster, more reliable reporting and fraud detection, Adloox migrated its platform to Google Cloud Platform, using services such as Google Kubernetes Engine, BigQuery, Cloud Storage, and Dataproc.

Google Cloud Platform, with support from implementation partner OP-Rate, helped Adloox build a parallel cloud architecture and move services safely while keeping live reporting available. The results included batch processing times cut in half, client reports delivered in under 10 seconds, and about 40% less time spent on infrastructure management, enabling Adloox to focus more on product development and new features.


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Adloox

Bruno Galeppe

Co-founder and CTO


Google Cloud Platform

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