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Application Performance
                            Management

                            -2011 survey findings-



        Bojan Simic
        President and Principal Analyst, TRAC Research


© 2011 TRAC Research
Blind spots
                        Web browser                      46%

                                  VM                   41%

                          Mainframe              36%

                         User device            34%

                       Public Internet    29%

         Application components          27%


© 2011 TRAC Research
Top challenges
                  Time spent on troubleshooting
                       performance issues                        63%

            Identify performance issues before
                    they affect end users                        61%

                              Management cost              48%

         Usability of application performance
                          data                        42%

           Visibility into the quality of end-user
                          experience                 39%

           Inability to monitor each transaction
                   across IT infrastructure          38%


© 2011 TRAC Research
Challenges for monitoring user experience
         Monitoring performance of 3rd-party
                     components                               58%

            Inability to customize performance
              views for different stakeholders              54%

               Monitoring direct impact of new
                     technology rollouts                47%

                Lack of visibility into application
                             usage                      46%

                  Lack of visibility into in-screen
                           transactions               40%



© 2010 TRAC Research
Challenges for transaction monitoring
         Monitor transaction from the point of
         user interaction to where transaction
                                                                 71%
                     is processed

                       Management overhead
                                                                64%

            Track the transaction into 3rd party
                        environment                       52%

             Monitor transaction performance
            without modifying application code      41%

          Monitor transactions across multiple
                      data centers                 37%



© 2010 TRAC Research
Key capabilities driving new adoption
                 Network and app performance
                 monitoring delivered through a
                                                                   34%
                         single platform

                 Visibility into in-screen metrics
                                                             29%

             Automated corrective actions
         triggered when performance doesn't
                                                       22%
                  meet requirements

              Dynamic application dependency
                        mapping                      19%


                       Open APIs for APM solution
                                                     18%



© 2010 TRAC Research
Key evaluation criteria
                            Time to value                      73%

          Ease of ongoing management                     63%
         Demonstrated effectiveness in
           relevant usage scenarios                      61%

                               Scalability         49%

                       Ease of deployment      46%

          Depth of application coverage       43%

                            Pricing model    38%


© 2010 TRAC Research
By the numbers…
            43% of organizations are reporting that APM tools are not
            enabling them to align IT with business goals

            Organizations that are taking a transaction-centric approach
            for application performance monitoring are 76% more likely
            to reduce time spent on isolating the root cause of
            application performance incidents

            Organizations that have key capabilities in place are able to
            manage 3x more users per help-desk FTE as compared to
            others



© 2010 TRAC Research
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user interaction to where transaction
                                                       71%
            is processed

              Management overhead
                                                      64%

 Track the transaction into 3rd party
             environment                        52%

     Monitor transaction performance
    without modifying application code    41%

Monitor transactions across multiple
            data centers                 37%
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        •   Enable application centric operations
        •   Understand complex infrastructure
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            •   Analyze user behavior
            •   Understand performance impact on users
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          Time spent on troubleshooting
               performance issues                          63%

     Identify performance issues before
             they affect end users                         61%

                        Management cost              48%

    Usability of application performance
                     data                       42%

     Visibility into the quality of end-user
                    experience                 39%

    Inability to monitor each transaction
            across IT infrastructure           38%
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TRAC Research
                               Bojan Simic
                               President  Principal Analyst
                               TRAC Research, Inc.

                               781.878.7493
       Find us at:             bojan.simic@trac-research.com

       TRAC Research
       www.trac-research.com




© 2010 TRAC Research

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Recent Survey Reveals that Optimized APM Approaches Increase Business Efficiencies

  • 1. < ^ Z K WD /
  • 2. ^ ^ Z ^ d W W d ^ dK dZ Z d WD Z • dZ Z ^ WD D • W WD –h –d W • Y
  • 3. Application Performance Management -2011 survey findings- Bojan Simic President and Principal Analyst, TRAC Research © 2011 TRAC Research
  • 4. Blind spots Web browser 46% VM 41% Mainframe 36% User device 34% Public Internet 29% Application components 27% © 2011 TRAC Research
  • 5. Top challenges Time spent on troubleshooting performance issues 63% Identify performance issues before they affect end users 61% Management cost 48% Usability of application performance data 42% Visibility into the quality of end-user experience 39% Inability to monitor each transaction across IT infrastructure 38% © 2011 TRAC Research
  • 6. Challenges for monitoring user experience Monitoring performance of 3rd-party components 58% Inability to customize performance views for different stakeholders 54% Monitoring direct impact of new technology rollouts 47% Lack of visibility into application usage 46% Lack of visibility into in-screen transactions 40% © 2010 TRAC Research
  • 7. Challenges for transaction monitoring Monitor transaction from the point of user interaction to where transaction 71% is processed Management overhead 64% Track the transaction into 3rd party environment 52% Monitor transaction performance without modifying application code 41% Monitor transactions across multiple data centers 37% © 2010 TRAC Research
  • 8. Key capabilities driving new adoption Network and app performance monitoring delivered through a 34% single platform Visibility into in-screen metrics 29% Automated corrective actions triggered when performance doesn't 22% meet requirements Dynamic application dependency mapping 19% Open APIs for APM solution 18% © 2010 TRAC Research
  • 9. Key evaluation criteria Time to value 73% Ease of ongoing management 63% Demonstrated effectiveness in relevant usage scenarios 61% Scalability 49% Ease of deployment 46% Depth of application coverage 43% Pricing model 38% © 2010 TRAC Research
  • 10. By the numbers… 43% of organizations are reporting that APM tools are not enabling them to align IT with business goals Organizations that are taking a transaction-centric approach for application performance monitoring are 76% more likely to reduce time spent on isolating the root cause of application performance incidents Organizations that have key capabilities in place are able to manage 3x more users per help-desk FTE as compared to others © 2010 TRAC Research
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  • 17. d W : W h LEVEL 5 P E R VA S I V E LEVEL 4 • OPTIMIZED LEVEL 3 • h EFFECTIVE LEVEL 2 • Z • h AWA R E LEVEL 1 • • REACTIVE h • • • • / • h • W • Z • W Business Agility and • d Optimize Competitiv Prioritize App IT e Edge by Performan EUE ce Business Visibility Impact
  • 18. D WD D ^ ^ E “Competitive advantage!” “Agility!” •D • • • • •K W K Y “Stability!” • “Quality!” • •d K^ • • •d •K
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  • 26. t d W D Monitor transaction from the point of user interaction to where transaction 71% is processed Management overhead 64% Track the transaction into 3rd party environment 52% Monitor transaction performance without modifying application code 41% Monitor transactions across multiple data centers 37%
  • 27. W d W W s d W W /^W W s W d ^ t W D D ^ ^ ^ /^W ^ E E t D t E ^ K D
  • 28. W d / D from noise to data to meaning
  • 29. d s In Browser Metrics 3rd Party Database Frontend Backend
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  • 36. , K Z • Enable application centric operations • Understand complex infrastructure • Intelligent error detection • Correlate across all layers
  • 37. ^ , / h • Analyze user behavior • Understand performance impact on users • Get performance metrics for individual actions • Get impact of performance issues on users
  • 38. W / DddZ • Easy access to production information • Get “development level” details • Transactional data instead of averages • Understand distributed application dynamics
  • 39. t Time spent on troubleshooting performance issues 63% Identify performance issues before they affect end users 61% Management cost 48% Usability of application performance data 42% Visibility into the quality of end-user experience 39% Inability to monitor each transaction across IT infrastructure 38%
  • 40. / ^ W Upstream Optimization Development Test Production Downstream Optimization
  • 41. W W d W/ ^ / Z
  • 42. ^ ^ W d d W /
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  • 47. Y D • / • Z • Z • ^ • Z • / • / • Z ^ W
  • 48. TRAC Research Bojan Simic President Principal Analyst TRAC Research, Inc. 781.878.7493 Find us at: bojan.simic@trac-research.com TRAC Research www.trac-research.com © 2010 TRAC Research