Well yeah, there's cases where it makes sense. I was once on a team dedicated to orchestrating machine learning models and their publishing in a prediction ser

Well yeah, there's cases where it makes sense. I was once on a team dedicated to orchestrating machine learning models and their publishing in a prediction service. The training-to-publishing process was best kept an atomic one, and its Scala codebases separate and distinct from the Java monolith that called it, despite being the only caller and not benefiting from asynchronicity in the call, this design, implementation and operation of a very profitable part of the business was way more convenient than having tried to shove the prediction logic inside the caller. But there are teams that will be splitting every damned endpoint of a service into their own process, that's just unnecessary overhead from whichever way you look at it; network, deployment, infrastructure, monitoring, testing, and deployment again because it bears repeating that it complicates rollouts of new features.