Case Study: AB Tasty achieves real-time customer insights at scale with Google Cloud

Optimizing customer experience with experimentation and machine learning

AB Tasty, a France-based customer experience optimization SaaS provider, was hitting the limits of its existing VM-based infrastructure as larger enterprise clients drove more traffic and complexity. The company needed a scalable, microservices-based architecture with limited DevOps resources, and it worked with Looker alongside Google Cloud technologies to improve analytics and customer insight at scale.

Looker helped AB Tasty support its data-driven optimization platform by enabling better analysis and reporting on massive event volumes, while the broader cloud redesign allowed the company to process about 2 billion events per day. As a result, AB Tasty scaled from roughly 5,000 events per second to 50,000 regularly and up to 200,000 at peak, achieved a 99.99% service-level agreement, and delivered near real-time recommendations and richer personalization for more than 1,000 enterprise clients.

AB Tasty

Sergey Chernyakov

Vice President Data and Infrastructure