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BMC Control-M

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Control-M is workload automation (traditionally called batch scheduling) software obtained by BMC Software via its 1999 acquisition of New Dimension Software. It was originally written for mainframe computers, but is also available for distributed computing platforms including Unix, Windows, Linux and OpenVMS environments.

It is designed for automation of various functions in the enterprise including traditional IBM mainframe OS/MVS JCL, batch files, shell scripts as well as routine functions such as invoking database stored procedures, invoking and using Web services and handling file transfers inside and outside the organization.

Control-M can schedule workloads on a daily, weekly or monthly interval. It can also be used to respond to trigger events such as the appearance of a file, being called by a third party application through an API, or invocation on demand through Java or Web services.

Control-M can be integrated with applications such as SAP and Oracle's PeopleSoft, to act as a scheduling organizer in these platforms.

With the addition of BMC Batch Discovery in 2007, it integrates with the configuration management database ("CMDB") of BMC Remedy Action Request System. This is intended to help identify the relationships between batch processes and other business and IT infrastructure components.

Agentless job scheduling

Control-M v6.3.01 for Distributed Systems allows jobs to be executed on remote platforms without client software installed. Using SSH and WMI, Control-M will submit the jobs for execution without the need to install an agent on every machine where jobs might run.

Industry recognition

The Gartner research group has regularly placed BMC Control-M in the leadership quadrant of its Magic Quadrant for Job Scheduling and moved it further into the leadership quadrant in their 2009 report.[1]

In 2010 Enterprise Management Associates's "Radar Report" on Workload Automation named BMC Control-M as the "Value Leader" with the "Best Overall ITSM Integration" and the "Best Automation Resolution." [2]

See also

References

  1. ^ Milind Govekar: Magic Quadrant for Job Scheduling, Gartner RAS Core Research Note G00166953, 2009
  2. ^ Andi Mann: Magic Workload Automation Q1 2010 – An EMA Radar Report, Enterprise Management Associates (EMA), 2010
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