This blog post discusses the challenges and solutions encountered by the ISE team at Microsoft while making a distributed system production-ready. It focuses on issues including slow processing speeds and out-of-memory exceptions, and provides insights into the methods used to address these problems.
Evaluates various repository structures and designs for maximizing the efficiency of Data Scientists and Software Engineers developing, promoting and deploying AI models on the same project.
This post explains the challenge of fleet configuration management, the role of an automated fleet configuration management system, and describes key considerations for building such a system.