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Data Center and Cloud

I was talking to a few analysts this week on workload automation and some interesting themes came up.   Workload Automation (aka Job Scheduling) starting with IBM mainframes and job control language.  Over the years the automated execution of business processes (moving batch data  in real-time schedules) became a major workload in the data center.   This was extended from mainframe to distributed computing with Unix and then Windows compute.  Along with this came all the Enterprise Resource Planning and Business Intelligence package applications that made SAP and Oracle famous.  Moving the data around was absolutely mission critical.  Huge demand on the data center resources drove the need to begin to control the resource states of the target compute engines to be ready for the high demands of processing millions of transactions or running critical reports for the Enterprise.

Now here is the rub…

The 40 to 60 year old set (of which I am member) know all about this “in the background” processing and its importance.  The challenge now, with all the new Web applications being created and a new batch of IT professionals is that this critical part of the IT ecosystem is being forgot about, downplayed and generally not paid attention too until there is a big outage and enterprise controls and automation are put in place.  There are so many places where workload automation can be applied to help automate key processes.  Many of our customers of this product line have increased the size of their operations 2-3x over the past 3 years.  All this cool new technology and new products being sold are putting increased demands on workload automation.   Learn more about this cost saving automation technology, your CIO will thank you for it.

 

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