Control M can scale from a couple thousand jobs onward without compromising

Control m can scale from a couple thousand jobs

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Control-M can scale from a couple thousand jobs onward without compromising stability. Moreover, customers are able to maintain SLAs while expanding, even up to ranges of 50,000 jobs per day: “Scalability of the product was able to accommodate huge growth without missing a beat. Our workload from last year grew 60% without any signs of slowing.”
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December 2017 Document R209 Copyright © 2017 Nucleus Research, Inc. Reproduction in whole or in part without written permission is prohibited.8Nucleus Research is the leading provider of value-focused technology research and advice. NucleusResearch.com Control-M can scale from a couple thousand jobs onward without compromising stability. Customers are able to maintain SLAs while expanding, even up to ranges of 50,000 jobs per day. INCREASED KNOWLEDGE Lastly, having better job scheduling and job status visibility has changed the way business users work with admins to schedule and understand jobs. Control-M Self Service allows users to take on more related tasks themselves. In some cases, users are given the ability to design and request jobs, leaving the admin only the task of slotting them into the schedule: “The various departments had more resources to allocate to job creation than we did, so it worked out really well. We were able to get what they needed done without adding much to our plate.” Insight into the job scheduler also allows users to explore and better understand jobs and how the process works. This in turn allows them to craft better jobs and have more reasonable expectations about system performance: “About 90 percent of the people that interact with Control-M actually use it as a research tool. They can get into the job database and understand what the jobs do without making any changes, so they can monitor and learn from current processes.” B E S T P R A C T I C E S When asked what advice they would give others using or deploying Control-M, customers discussed two additional points: a careful conversion process and new paths opened up by Control-M. CONVERSION Conversion is a critical part of the success of workload automation deployments, and Control-M is no exception. Most customers used a slow conversion process, operating the old and new scheduling system in parallel and rigorously testing jobs before transferring them batch by batch. For customers that tried to rush the conversion process, problems occurred down the line: “Our biggest problem was that we didn’t do enough parallel testing, so we had a lot of problems after implementation. We were not focused enough on
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December 2017 Document R209 Copyright © 2017 Nucleus Research, Inc. Reproduction in whole or in part without written permission is prohibited.9Nucleus Research is the leading provider of value-focused technology research and advice.
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