Recent years, we’ve been working myself on a vast variety of infrastructures to build up basis elements on which ML enforced apps are delivered under a secured, cost efficient and well-controlled manner.
The following diagram shows a part of (conceptual) single resource unit of my pure private use (this blog belongs to App Server, here).
You see that there contains no complex topology here, but it turned out a drastic change in the ML Workload Server, which forced me months of work to have it settled as it’s presented.
Taking advantage of the constructed environment, hopefully admit some MLOps-compliant utility, we have experiments and applications in mind that we’d manage to perform in next few months.