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Recent Survey Reveals that Optimized APM Approaches Increase Business Efficiencies
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Recent Survey Reveals that Optimized APM Approaches Increase Business Efficiencies

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In this webinar, understand key survey results that reveal the need to optimize managing application performance and understand strategies for managing performance across the entire application ...

In this webinar, understand key survey results that reveal the need to optimize managing application performance and understand strategies for managing performance across the entire application delivery chain. Three industry experts will share their perspectives on best approach to achieving application performance excellence and an outlook on how to improve your organizations capabilities and goals.

TRAC Research Survey reveals:

* 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

Panelists: Bojan Simic: President and Principal Analyst for TRAC Research, Alois Reitbauer: Technology Strategist for Compuware dynaTrace, and Steve Tack: Chief Technology Officer for Compuware Application Performance Management

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Recent Survey Reveals that Optimized APM Approaches Increase Business Efficiencies Recent Survey Reveals that Optimized APM Approaches Increase Business Efficiencies Presentation Transcript

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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 doesnt 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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  • , K Z • Enable application centric operations • Understand complex infrastructure • Intelligent error detection • Correlate across all layers
  • ^ ,  /h  • Analyze user behavior • Understand performance impact on users • Get performance metrics for individual actions • Get impact of performance issues on users
  • W / & DddZ • Easy access to production information • Get “development level” details • Transactional data instead of averages • Understand distributed application dynamics
  • 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%
  • / ^ W Upstream Optimization Development Test Production Downstream Optimization
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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