
Overview
What we did
- Custom-built a solution that allowed the company to span a cluster of Docker containers across the two clouds, complete with time-limited authentication to give its data scientists access to AWS from within Google Cloud
- Through this pipeline, the Google-based model could seamlessly access the reference library housed on AWS—and then instantly send its findings back to AWS and onward to the farmer
- Built a custom multi-cloud authentication solution through Google OAuth to provide services running in AWS with time-limited access to the Google Cloud
Key Outcomes
The company now has a reusable platform with DevOps support for multi-cloud infrastructures to assist its data scientists in building and deploying machine learning solutions at scale.

Accelerated processes by creating a “pipeline” to make it possible for farmers to get instant diagnostics and recommendations on the health of their crops
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