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A Workload Automation Dashboard is Not Enough!

  
  
  
  

Whether you are responsible for distributed or mainframe workload automation operations, relying on your native job scheduler dashboard is not enough to ensure optimal performance and ultimately confident service level assurance.  This is not to say these dashboard solutions don't hold value, they most definitely do, they just don't take an SLA driven, analytical approach, to managing workload performance.  To illustrate my point let's take a look at what you can learn by analyzing your workload from this one view:

JAWS Workload Analytics Gantt Chart SLA

1. In the resource pane, system-wide utilization of remote machines, load factors, and other resources are displayed in relation to the jobstreams that use them. Notice that when job mkt_price_004 is selected in the Gantt chart, the utilized resource Payroll01 is highlighted for the duration it was being used. 

2. Critical path is automatically determined by JAWS and highlighted in red throughout the jobstream. Notice that although the highlighted job mkt_price_004 has a direct dependency downstream, it was not part of the critical path because other jobs pushed out the start time of its downstream successor. JAWS dynamically uses critical path to predict how events affect SLA's downstream. 

3. Real-time views of jobstreams incorporate history to make predictions. The grey vertical line in this Gantt chart indicates the present moment in time. Everything to the left is historical data that we gathered in real-time. Everything to the right is a prediction based on our historical analytics and heuristics. 

4. The dotted blue line in this Gantt chart shows the average end time of this jobstream. The dotted red line indicates the late time, which can be system calculated or user defined as a specific time or duration. Setting alerts on this late time allows users to get advanced notice when an SLA is in jeopardy. 

This is just one aspect of our workload analytics solution.  Schedule a Demo today to learn more about how we can help you manage workload performance from an entirely different perspective, an analytical perspective!

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