This talk will explore our process for taking research algorithms into production as part of large-scale IoT systems. This will include our experiences developing a condition monitoring system for the Sydney Harbour Bridge, and case studies into some of the challenges we have faced. It will also cover general IoT challenges such as bandwidth limits, weatherproofing, and hardware lock-in, and how we have addressed them.

Handling errors in a principled manner is an important aspect of writing production code. Drawing on our experience of writing production systems in Haskell, we believe that for a large class of problems, using the EitherT monad transformer is a simple and effective pattern to handle errors. We suggest that often, several mechanisms for error handling appear in code bases (including exceptions and the use of free monads) and that it will be of interest to intermediate Haskellers to see a principled approach that only uses EitherT to accomplish this.