Visualisation and forecasting on IT capacity planning data

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This is a presentation recently given at UK CMG around linking visualisation and forecasting tools with capacity planning and performance data from distributed and mainframe systems.

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Visualisation and forecasting on IT capacity planning data

  1. 1. Copyright © 2012, SAS Institute Inc. All rights reserved.ADVANCED VISUALISATION ON MAINFRAMERMF AND SMF DATA(APPLYING BIG DATA SOLUTIONS TO IT SYSTEM UTILISATION DATA)ANDREW GADSBY, MAINFRAME BUSINESS DEVELOPMENTandrew.gadsby@sas.comMIKE WROOT, MAINFRAME TECHNICAL SPECIALISTmichael.wroot@sas.com
  2. 2. Copyright © 2012, SAS Institute Inc. All rights reserved.ABSTRACT ANDREW GADSBY and MIKE WROOTTitle:Advanced Visualisation and Analytics on Mainframe RMF and SMF Data(Applying Big Data techniques to IT system utilisation data)Abstract:Much has been written about applying analytics to Big Data problems and how advanced visualisation techniques allowbusinesses to create new value from Big Data. At SAS we are seeing many customer facing organisations makeextensive use of new visualisation techniques to derive significant business value from the mass of data available tothem.IT also suffers from its own Big Data problem with the 4 V’s (volume, velocity, variety and variability) applying to ITsystems performance and capacity data. We wondered if it would be possible to apply Big Data visualisation andanalytic techniques to mainframe RMF and SMF data. In particular, we wanted to understand if analysis in this waycould deliver value back into IT.This session will present an overview of the approach we took to analyse and visualise this data, and illustrate some ofthe value that could be derived from such analysis. We will also give a live demonstration of our solution.
  3. 3. Copyright © 2012, SAS Institute Inc. All rights reserved.AGENDA ADVANCED VISUALISATION• Introductions• How are Your Business Users Looking at their Data?Demonstration• How does IT undertake capacity reporting today?• Linking Visualisation to Capacity Reporting and ForecastingDemonstration• Observations and Conclusion
  4. 4. Copyright © 2012, SAS Institute Inc. All rights reserved.ACKNOWLEDGEMENT FROM THE MAGIC CIRCLE….
  5. 5. Copyright © 2012, SAS Institute Inc. All rights reserved.AGENDA ADVANCED VISUALISATION• Introductions• How are Your Business Users Looking at their Data?Demonstration• How does IT undertake capacity reporting today?• Linking Visualisation to Capacity Reporting and ForecastingDemonstration• Observations and Conclusion
  6. 6. Copyright © 2012, SAS Institute Inc. All rights reserved.“The Greatest Value Of A PictureIs When It Forces Us To NoticeWhat We Never Expected To See.”John W. Tukey, Exploratory Data Analysis 1977
  7. 7. Copyright © 2012, SAS Institute Inc. All rights reserved.BUSINESS USERSVIEWVISUALISATION OF BIG DATA• Visually Exploring Their Data Using Tablets• User Self Service is Becoming the Norm• Speed of Thought Investigation and Discovery• Building Analytical Data Warehouses (ADW)• Improved Decision Taking Across the Business• Static Reports are No Longer Acceptable
  8. 8. Copyright © 2012, SAS Institute Inc. All rights reserved.Central Entry Point Integration Role-Based ViewsDELIVERPREPARE EXPLORE DESIGN• SAS®Mobile BI - nativetablet applicationsdelivering interactivereports• Web and PDF• Manage data• Load and join data• Create calculatedcolumns• Perform ad-hoc dataexploration• Insights generatedthrough analyticvisualizations• Create dashboard stylereports for web ormobileIN-MEMORY ANALYTICS ENGINESAS®VISUALANALYTICSA SOLUTION FOR FASTER, SMARTER DECISIONSwww.sas.com/visualanalytics
  9. 9. Copyright © 2012, SAS Institute Inc. All rights reserved.DEMONSTRATIONSAS® VISUAL ANALYTICSMEGACORP
  10. 10. Copyright © 2012, SAS Institute Inc. All rights reserved.AGENDA ADVANCED VISUALISATION• Introductions• How are Your Business Users Looking at their Data?Demonstration• How does IT undertake capacity reporting today?• Linking Visualisation to Capacity Reporting and ForecastingDemonstration• Observations and Conclusion
  11. 11. Copyright © 2012, SAS Institute Inc. All rights reserved.HOW I.T. LOOKS ATPERFORMANCEDATAVISUALISATION OF I.T. DATA• Mainframe e.g. MXG, MICS using SMF and RMF data• Distributed e.g. SAR, NMON…• Static Reports - GIFs• Export to Excel
  12. 12. Copyright © 2012, SAS Institute Inc. All rights reserved.AGENDA ADVANCED VISUALISATION• Introductions• How are Your Business Users Looking at their Data?Demonstration• How does IT undertake capacity reporting today?• Linking Visualisation to Capacity Reporting and ForecastingDemonstration• Observations and Conclusion
  13. 13. Copyright © 2012, SAS Institute Inc. All rights reserved.LINKINGVISUALISATION TOI.T. DATAEXAMPLE HIGH-LEVEL ARCHITECTURESAS® VISUAL ANALYTICS ENVIRONMENTDesktopWebMobileSAS VA CLIENTSSMF/RMFSAROpenViewAWRWorkspace ServerMid-TierVA ServerCo-Located DataStorageCo-Located DataStorageCo-Located DataStorageSAS® LASR AnalyticServerLASR Cluster
  14. 14. Copyright © 2012, SAS Institute Inc. All rights reserved.DEMONSTRATIONSAS® VISUAL ANALYTICS FOR I.T.MEGACORP I.T.
  15. 15. Copyright © 2012, SAS Institute Inc. All rights reserved.OBSERVATIONS &CONCLUSIONSVISUALISATION OF I.T. DATA• Loading and Visualisation of the underlying data was the easy bit• Understanding what the data means is critical• Just because you can view things a certain way doesn’t mean it makes sense!• Good news here as a capacity planning expert you will still keep your job• Correlation is hard• Drill down from CPU utilisation at point of time to recreate workload/job step viewis difficult• Resolving this needs effort at data preparation / load time• Changes way that capacity planning and forecasting is approached• Could drive significant reduction in static report production on mainframe (CPU saving ? )• We are Continuing Development of this Technology and Use Case
  16. 16. Copyright © 2012, SAS Institute Inc. All rights reserved.QUESTIONS?THANK YOU

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