Operations Staff

An operator in AAI is someone who is concerned with ensuring that daily jobstream executions run smoothly. This can be someone who monitors jobstream executions in real time on AAI monitoring screens, or someone who watches the trends of jobstream executions over time to determine how to improve their efficiency.

Operators working with AAI can include:

Job schedulers
Monitoring staff
Operational shift supervisors
Process owners
Business analysts
Data scientists

This page includes the following:

Responsibilities of an AAI Operator

As an AAI operator, you are responsible for the jobstreams that are related to specific business areas, schedulers, applications or customers, or a subset or combination of any of these.

Operator responsibilities cover broadly the following types of activities:

Monitoring

Keeping an eye out on running jobstreams in real time, whether by watching the AAI dashboards or monitoring screens for the real time progress of running jobstreams, or by getting alert notifications about processing states.
Remediation

Identifying and reacting to failed or failing jobstreams and reacting to alerts.
Analysis and process improvement

Investigating trends and recognizing warning patterns and potentials for improved process efficiency in the jobstream execution. You can do this while monitoring daily executions or by examining reports that show historical jobstream execution performance.

Knowledge and Skills of AAI Operators

As an AAI operator, you must have an excellent understanding of the following:

Standard concepts of job monitoring, failure remediation, critical paths, SLAs, and so on.
The jobstreams for the business areas, schedulers, applications or other groups of jobstreams that you are responsible for.
The meaning and significance of the jobstream details that AAI provides.

You do not need the technical skills to solve the issues in the jobstreams. However, because you watch your jobstreams regularly, you become the expert on their normal behaviors. You are in the best position to recognize when executions are in danger of not completing in time. If you are not able to remediate the issue, you know who can. Furthermore, you can recognize trends about the jobstreams that tend to have problems, increasing in execution time, or cannot complete in time to meet their SLAs. With this insight, you can start to analyze the causes and inform the jobstream administrator or the teams who maintain the jobs at the scheduler or the application.