About Automation Analytics & Intelligence

Automation Analytics & Intelligence (AAI) adds capabilities to your company's workload automation landscape that no single job scheduler can offer. In today's workload automation, complex business processes involve multitudes of daily job executions from mainframe and distributed automation engines. Companies are running jobs on multiple job schedulers and even have processes that hand off the execution flow from one scheduler to another and back. Driving these processes are SLAs that demand timely fulfillment to avoid incurring costly penalties. AAI makes it possible to increase your SLA fulfillment even across the most complex workload automation landscapes.

Providing End-to-End Visualization

Automation environments get very complex often with hundreds of thousand if not millions of individual jobs across multiple platforms, instances and vendors. AAI simplifies that complexity into manageable views, while ensuring data precision and reliability, in the following ways:

  • AAI organizes those jobs as complete processes and presents them in business terms that make sense to you.

  • AAI automatically discovers dependencies between your scheduler jobs to build jobstreams that show you the whole process and measures against final results.

  • AAI visualizes those dependencies in easy-to-understand views.

 

Automation Analytics & Intelligence (AAI) is a powerful workload automation tool that enables you to manage the daily labyrinth of job executions by putting the jobs in context of the entire process flow, calling these jobstreams. This allows you to focus only on the final output that you and your customers are waiting for. AAI stores all execution data—including historical executions before you integrated your scheduler with AAI—

Recent trends push automation into the cloud, containerizing certain portions of the solution, and so on. There’s a lot to manage AAI helps you keep sight that what you’re ultimately doing is deliver a service to your customers. AAI turns your automation solution into trackable, manageable, automation services. Delivering on SLAs is key to success. AAI customers have been able to eliminate 68% of SLA breaches from the workload automation environments within a few months.

From the original Getting Started topic (Chapter_1_Getting_Started_1.htm):

Automation Analytics & Intelligence (AAI) adds capabilities to your job scheduling environment that enable you to collect historical run data for the purpose of both predictive and historical analysis. AAI allows you to target specific jobstreams that are particularly significant. By defining a specific Target Job to AAI, the user initiates an automatic process whereby AAI can show a time-based graphical view of all the upstream jobs leading to that Target Job (the jobstream), as well as highlighting the historical critical path for any historical run. After isolating the significant jobstreams in your environment, AAI can then monitor those jobstreams, predict their completion times, and send alerts if the jobstream is predicted to be late, not predicted to complete, or has exceeded its service level agreement (SLA).

{I like the second part of this sentence and want to see if it can get into the intro in some form- ~ Suzanne} AAI helps you set an appropriate deadline and enables you to proactively prevent missing them as well as continually optimize the relationship between the SLA business requirements, the related IT processes, scheduler capacity, and daily operations.

Key Features

  • End-to-end visualization: Automation environments get very complex often with hundreds of thousand if not millions of individual jobs across multiple platforms, instances and vendors. AAI simplifies that complexity into manageable views, while ensuring data precision and reliability, in the following ways:

    • AAI organizes those jobs as complete processes and presents them in business terms that make sense to you.

    • AAI automatically discovers dependencies between your scheduler jobs to build jobstreams that show you the whole process and measures against final results.

    • AAI visualizes those dependencies in easy-to-understand views.

  • Predictive Analytics: AAI predicts when your workload process or batch will complete.

    If you have SLAs on specific jobs. AAI sends predictive alerts if you are in danger of jeopardizing those SLAs.

    AAI monitors your automation environments as they are executing and gets the latest job statuses. Based upon that, AAI predicts when your SLA (target job) will complete. AAI has alerting mechanisms to send alerts in case of danger to that SLA.

  • Smart alerting strategy – AAI triggers alerts only if a job is running long enough that it is going to jeopardize your SLA, even if that SLA is hours into the future. Compared to “traditional” ways of alerting (monitoring max runtime of jobs, for example), you end up with fewer alerts and only the alerts that are meaningful to the success of your daily operations. Alerts come in early enough that you have time to react before your business is impacted.

  • Optimized SLA management. The real-time critical path that AAI provides changes dynamically as jobs are executing, so you can see the true impact of job executions in a workflow. The critical path of an execution is stored with the historical execution data. Knowing the critical pat history helps you discover where bottlenecks tend to be. Critical path data is part of the large data that comes with AAI, giving you the facts to spot trends and pinpoint opportunities for increased efficiency of your workload automation processes.

    Dedicated to the improvement of SLA delivery through workload automation, AAI provides advanced real-time prediction of SLA delivery.