Case Study: Zenly achieves 30% lower infrastructure costs with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Zenly Case Study

Zenly Supporting rapid release cycles and a stable architecture for millions of users

Zenly, the French social map app, needed a more stable, scalable infrastructure to support real-time location updates, fast release cycles, and better support as user traffic fluctuated. With Google Cloud Platform and Kubernetes, Zenly moved away from its previous provider’s performance and communication issues while maintaining low-latency processing for millions of users.

Google Cloud Platform implemented a containerized architecture centered on Google Kubernetes Engine, along with BigQuery, Cloud CDN, Cloud Load Balancing, Cloud SQL, Compute Engine, and security tools like Cloud Identity-Aware Proxy and Cloud Key Management Service. The results were significant: infrastructure costs fell by 30%, latency dropped by 30%, maintenance became simpler, and Zenly gained stronger security, faster deployment cycles, and real-time analytics capabilities.


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Zenly

Jean-Baptiste Dalido

Head of Infrastructure


Google Cloud Platform

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