Tensorflow Serving is the most optimized way to serve a Tensorflow machine learning model in production. The official tutorials only cover the python client, so lets implement a Go/Golang one.

Microservices become the new standard for scalable and maintanable arquitectures. Monolithic aplications are splited into smaller pieces to keep things simple and decoupled. Tracing comes in hand when you need to aggregate the events during the request lifecycle between a single or multiple services.

I’m a person that loves to learn new things, and assembly is one of the most recent topics I decide to dig into.