Walmart IRL

Challenge

Develop repeatable, scalable processes that allow developers to gather, analyze, and store terabits of sensor data. By tracking what products are on the shelf, the Intelligent Retail Lab (IRL) seeks to improve customer experience by ensuring products are fresh, particularly in produce and meats.

Solution

Use Chef Enterprise Automation Stack (EAS) to build and maintain secure cloud and on premise instances and to automate the software build lifecycle for complex, fast-evolving analytic applications.

Impact

IRL is now able to use Chef Habitat to fully automate almost all applications and dependencies in its cutting-edge AI environment, enabling development at velocity.

• Developers are now focused on solving problems and not fighting the platform
• Chef Habitat with OpenCV eliminates the need for developers to constantly reconfigure the application, saving months of configuration time
• Chef EAS gives IRL the monitoring and control needed to leverage AI in their solutions.