Job groups

We saw in Chapter 4, IT Operational Analytics and Root Cause Analysis, that there were good reasons to simultaneously view the results of several jobs against different kinds of data. Therefore, it makes sense that sometimes we need the ability to logically group jobs together around a common theme. To accomplish this, let's review the Job groups feature, which was introduced to ML in version 6.1.

Job groups allow the user to arbitrarily tag jobs with keywords for organizational purposes. You can, for example, determine that all jobs that are related to a specific application should be tagged with the application name. You can assign a job to a group at creation time, or you can edit the job after its creation; the process is simple. ...

Get Machine Learning with the Elastic Stack now with the O’Reilly learning platform.

O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.