Machine Learning (ML) is being implemented to varying extents in businesses all over. However, seamlessly integrating ML workflows into existing infrastructure can be somewhat challenging. This is the first article in a series on DevOps for Machine Learning - how to automate the ML process. In this chapter we will explore the benefits of running ML models as micro-services and with what tools.
Why containers in the first place?
The initial demand for this solution came years ago. Software ... [continue reading]