Case Study: Objenious achieves faster, scalable IoT data processing and immediate analytics with Google Cloud Platform

A Google Cloud Platform Case Study

Preview of the Objenious Case Study

Objenious Faster data processing for the Internet of Things

Objenious, an affiliate of Bouygues Telecom and operator of France’s first LoRaWAN network covering 95% of the population, provides IoT connectivity and analytics for clients from startups to large enterprises. Rapid data growth strained its original infrastructure, causing portal latency and hindering the agile DevOps processes Objenious needed—while services had to remain live during any transition.

Objenious migrated to Google Cloud Platform with Google Kubernetes Engine and Docker, integrating BigQuery with its Cassandra database and using Cloud Pub/Sub and Cloud SQL; migration by Claranet was completed service-by-service in three months with zero downtime. The new platform delivers immediate automated analytics, supports thousands of messages per second, improves stability, security and TCO, and enables faster DevOps and future initiatives like machine learning.


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Objenious

Souchiam Sechao

CTO


Google Cloud Platform

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