Machine learning (ML) model serving refers to the series of steps that allow you to create a service out of a trained model that a system can then ping to receive a relevant prediction output for an end user. These steps typically involve required pre-processing of the input, a prediction request to the model, and relevant post-processing of the model output to apply business logic.
Automation testing tools are applications designed to verify function and/or non-functional requirements via automated test scripts. With the Agile and DevOps manifesto as the standard of software testing, setting a clear-cut automation testing tools evaluation strategy is key. Ultimately, this strategy will need to answer the questions of: Plus, there isn’t really a one-size-fits-all automation tool. It really boils down to your team’s specific needs.
This is a recap article with all the answers to the questions I received during my previous talks at Droidcon, WeAreDevelopers, and more.
Below are some key insights on how LoadFocus may help you with achieving your goals.
