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Benchmarking using Control-M

Posted: 25 Jun 2008 7:25
by Admin007
Currently my company has 5 regions, 4 test regions and 1 Production region running Control-M. None of the test regions are equal, resource wise, jobs that run, etc. to Production. For instance, CPU resources are divided where 90% of the CPU goes to Production, 5% goes to our PStage region and 3% goes to QA, the remaining % is divided between the lower 2 test regions. I need to get Benchmarking in place for comparison testing of jobs before they move to Production. However, since none of the test regions are set up equal to Production, data is skewed and a true benchmark of how a job will run (how long it will take to process) in Production is not feasible at this time. Any ideas on how I could go about Benchmarking jobs that run in a test region to show comparative data for what may occur once the job migrates to Production? Anyone else's company experiencing similar needs? We run about 1800 jobs each in QA and PS but 3000 or more in Production.

Re: Benchmarking using Control-M

Posted: 25 Jun 2008 8:17
by Dilbert
Try using simulation/what-if scenario feature in FOrecast.
Open jobs in forecast and run what-if scenarios. Add a jobs to jor Production in FOrecast and looks what's happening.

Posted: 25 Jun 2008 8:31
by Admin007
We do not have Forecast. Currently we are running version 6.2. I am in the process of reviewing for an upgrade to v6.3 and I have made a recommendation for Forecast Tool. In the meantime, I need to find a way to benchmark w/ what we have.

Posted: 27 Jun 2008 11:46
by mauriziog
We do not have Forecast. Currently we are running version 6.2. I am in the process of reviewing for an upgrade to v6.3 and I have made a recommendation for Forecast Tool. In the meantime, I need to find a way to benchmark w/ what we have
You can work on the statistical data.
You must extract the data and sort them in base of the analisis you whant to do, after this you can analise with eletronic sheets like "ms excel" the results.
The base is the statistical data of exec time, cpu, etc.; after you must build the analisis to have the benchmark.