Case Study: Augury reduces machine failure by 75% with DoiT International and Google Cloud

How Augury reduced machine failure by 75% with Google Cloud

Augury, a technology company that uses IoT and machine learning to monitor machine health for manufacturers, needed to rebuild its IoT platform to scale for a growing base of enterprise customers. To support its always-on production environments, Augury turned to DoiT International and Google Cloud, including Google Kubernetes Engine (GKE), Cloud Dataflow, BigQuery, Cloud Pub/Sub, and other cloud services.

With DoiT International’s guidance, Augury completed a smooth migration to Google Cloud and moved its microservices to GKE, improving scalability, reliability, and deployment flexibility across environments. The solution helped Augury handle spikes in telemetry data, keep processing latency balanced, and deliver real-time machine health insights, contributing to a 75% reduction in machine failure.

Augury

Gal Shaul

Co-founder and Chief Technology Officer