Jobstream Analysis

AAI can extract, aggregate, and abstract rich quantities of jobstream execution data and give you precise, reliable views into your workload and batch executions, even in real-time. With these views, you can have exact details to proactively triage real-time executions that are in trouble. The historical views can give you deep and accurate insight into your workload automation landscape so you can discover and understand opportunities for increasing your SLA fulfillment, managing scheduler load, and honing the automation processes. This section describes the on-screen functions that support your jobstream execution analysis.

There are two general kinds of analysis that you can do in AAI:

  • Real-time analysis

    You need to do this to for recovery of jobstreams that are have failed or to prevent jobstreams that are at risk from missing their SLAs.

  • Long-term analysis

    Using historical jobstream execution data, you can see trends and patterns that can give you clues to how to improve your jobstream processes or scheduler workloads. You can see some of this on-screen, as described in the topics in this section, and you can extract much more into AAI reports. For more information about that, see also Reporting.

    This section covers this kind of analysis.

Education

The Broadcom Software Academy offers a wide range of free online trainings, blogs, articles, use cases and white papers. If you have not already done so, register now to start profiting from our education offer. All the courses are free, web-based and self-paced. Some courses contain quizzes that you need to pass to get the course certificate. Upon completing a course you receive both a certificate and a badge. Badges grant a certain amount of points based on the length and difficulty of the course.

Tip: The Education team is constantly working on new content. Check the Broadcom Software Academy regularly for new free courses!

The following course is associated with this topic: Automic Automation Intelligence: Operations Management

This section includes the following pages: