Case Study: U.S.-Based Software Engineering Company achieves secure multi-cloud machine learning integration with Pythian

U.S. Based Software Engineering Company - Customer Case Study

A U.S. Based Software Engineering Company needed a secure way to connect its Google Cloud machine learning model to an AWS-hosted reference library for a crop disease management app. Pythian was brought in to solve the multi-cloud challenge and enable fast, secure data transfer between the two platforms.

Pythian built a custom pipeline spanning Docker containers across Google Cloud and AWS, using Rancher and Google OAuth for secure, time-limited access. The result was a reusable multi-cloud platform with DevOps support that let the company securely access data during development and testing, helping power a mobile app that gives farmers near-real-time crop diagnostics and recommendations.