But whose job is it to run those steps? And note that most of what I think of as DevOps might have an analogy, but no direct equivalent.
Of course this is all solvable; the thing is that it is new. DevOps assumes that changes are to the code, and has processes and tools for managing code changes.
But whose job is it to run those steps? And note that most of what I think of as DevOps might have an analogy, but no direct equivalent.
Of course this is all solvable; the thing is that it is new. DevOps assumes that changes are to the code, and has processes and tools for managing code changes.
In ML, it is the DATA which changes.