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5 IT Trends That Reduce Cost and 
Improve Web Performance 




    Jean Pierre Garbani - VP, Principal Analyst Forrester Research


    Imad Mouline - CTO, Gomez
IT Business and Management Trends



JP Garbani
Vice President and Principal Analyst
Forrester Research, Inc.
Agenda

     1) Key trends: the role of IT in the Enterprise
     2) Th current IT landscape
        The      t l d
     3) Solutions for a leaner future
     4) Performance issues
     5) Recommendation and conclusion




4   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
IT Role As Defined By Business Users




5   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
IT Key Priorities




6   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Productivity Equals Application Performance

     The key to productivity in interactive applications is
     response time:
     • .1 second is instantaneous
     • 1 second is when a response time is perceived
     • 10 seconds is when users lose focus on the interaction
     Basic rules
     • Simple and frequent tasks: 1 second or less
     • Common tasks: 2 to 4 seconds
     • Complex tasks: 8 to 12 seconds

                     Source: Usability Engineering by Jacob Nielsen (Morgan Kaufman San Francisco)
                                                                            Kaufman,


7   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
But… Trends and Challenges

         • User’s performance expectations are rising as IT
           budgets are squeezed
         • Application business value and complexity increases
                   – M lti ti applications are th norm
                     Multi-tier  li ti         the
         • Time to value reduced through re-use, web services
           and SOA
         • Interoperability, portability, device diversity and size
           leads to configuration, deployment and production
           issues that impact performances
         • Outsourcing, hosting, cloud computing and
           virtualization opacity p
                           p    y present new challenges g

8   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Web Application Complexity
    and User Expectations




9   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Web Application Delivery Chain
 Client and                                                                                                     Software
 Embedded                                                                                                       Solutions
  devices                                                                                                        e.g.SOA
                                                                                                                 e g SOA



             Pervasive                                                        Business
             Interactions                                                   MetaData Core          Business Services
             Unified                                                        Processes, Policies.
                                                                               Structure, etc.
                                                                                                   Organic IT
             Communications
                                                 Voice                      Data
                                         Mobile
                                                                             Video
                                Transaction
                                                               Collaboration
Network                                                                                                    Infrastructure
                                                                                                     e.g. Cl d Computing
                                                                                                          Cloud C      ti
Infrastructure
                                                                                                              Virtualization
10   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Translates into Performance Issues

       • As the size of software increases, the number of
         problems per KLOC increases proportionally
       • 74% of problems are reported by the end users
         through the service desk, not detected by
         infrastructure management
       • An average of 6 service desk calls are needed to
         identify the problem owner
       • Typical SLA: 95% of level 1 problems are answered
         in 2 hours
                         IT Operations are bursting at the seams

                                                                            Source: Forrester Research
11   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Reducing Diversity For a Leaner IT


       • Outsourcing legacy applications
       • Standardizing infrastructures using virtualization
       • Using packaged applications and SOA derivatives
       • Using SaaS for selected management functions




12   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Application Management Pain Points
              Rank the pain level caused by the following situations (high to severe)


                                        Poor or erratic Java EE performance                                26%


              Capturing and quantifying actual end user experience                                         26%

            Improving IT responsiveness by arming techs with data
            rather than relying on end user description of problems                                        30%

        Diagnostic problems across n-tier architectures than span
        Di     ti     bl             ti      hit t      th
                       mainframe and distributed                                                           31%

                     Lacking accurate tools for end to end transaction
                                       management                                                          31%


           Determining root cause of poor application performance                                          37%

                                                              Ziff Davis survey of 1190 IT professionals

13   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Reducing MTTR and MTBF


                                                                            Recovery         Productivity        Extra costs
                                                                             costs              costs
                                                                            Cost of data
                                                                             recovery          Duration of
                                                                                 +               outage
                                                                              Cost of                x
                                                                             external          Number of
                                                                                                                    Lost
                                                                              support             people
                                                                                                 affected         revenue
                                                                                                     x            Duration of
                                                                                             Average % lost         outage
                         Problem                                               Problem         productivity
                      Identification                                        Identification                             x
                                                                                                     x          Percentage of
                             +                                                     +          Average cost
                      Analysis and                                          Analysis and                        unrecoverable
                                                                                              of employee          business
                        resolution                                            resolution             +
                             +                                                     +                                   x
                                                                                                 Average           Average
                        Validation                                            Validation        employee
                                                                                                    p y
                          testing                                               testing
                                                                                t ti                             revenue per
                                                                                              overtime cost          hour


         Costs before deployment                                            Costs of downtime and brown-outs in production


     Source: Forrester Research, Inc.
14   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Evaluating the Black Box Performance

                                                                                         μ
                                                                                    Response
                                                                                      Time

                                                                                Fixed Parameters
                                                                                 (System Design)

   Service time (μ) is the
 characteristic end result of λ
  a workload (λ) applied to
              ( ) pp
                                                                                   Black Box
     a given processing
          capacity           Workload                                                                  Output


                                                                                  Variable Parameters
                                                                            (System Configuration, Application)



15   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
What we Should do:
       • Validate application architecture at the development stage and
         create a performance hypothesis
       • Validate performance hypothesis in QA:
                 – Using a realistic environment
                 – Using end to end monitoring tools
       • Understand the workload variations
                 – What are the normal performance levels for a given period
                 – Distinguish between real problems and transient variations and
                  anomalies
       • Consider efficient alternatives such as SaaS to in house testing
         and monitoring


16   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Recommendation: Towards a Leaner IT

          • IT evolution drivers are economical rather than technical
                    – Improving workforce productivity and IT efficiency are the key
                      themes
          • Simplification and standardization of infrastructures will be the
            dominant themes of the next five years
          • Any initiative such as consolidation, standardization, IT
            governance improvement or service management requires
                          improvement,
            preparation
                    – Understanding workloads and performance issues are key
          • Productivity and efficiency objectives are only reached when
            we consider all alternatives to perform a given performance
            management function
                 g

17   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Conclusion

     • The major driver for IT management and IT Operation
       evolution is to improve business productivity as efficiently as
       possible
     • Many current management solutions are still very much
       technology silo oriented and ignore the end user perspective
     • Most of the current tools compound the issue by adding
       complexity of deployment and operation
     • The consensus is that IT service delivery is better served not
       only by improved IT management processes, but also by
       monitoring solutions b
            it i      l ti   based on th S S model th t provide th
                                  d   the SaaS      d l that    id the
       right data for an optimized operational cost



18   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
Thank you

                 Jean-Pierre Garbani
                 +1 617/613-6091
                 jgarbani@forrester.com
                 jgarbani@forrester com

                 www.forrester.com




                  Entire contents © 2005 Forrester Research, Inc. All rights reserved.
19   Entire contents © 2008 Forrester Research, Inc. All rights reserved.
5 IT Trends That Reduce Cost and
Improve Web Performance




    Jean Pierre Garbani - VP, Principal Analyst Forrester Research


    Imad Mouline - CTO, Gomez
About Gomez
         We help customers ensure quality experiences 
         We help customers ensure quality experiences
                for their Web and mobile users
              Optimal performance and availability
              Quality operation across all browsers and mobile devices 
              Rapid notification of issues with actionable diagnostics
              Insight into how these issues affect business
              Insight into how these issues affect business


     SaaS               Over 2,500            Solid Business          Recognized as 
   Platform             Customers              Performance           Industry Leader
                                                                     Industry Leader
• No installation    • 1,250+ enterprise    • Five consecutive      • Forrester: “The 
• Rapid startup &      customers              years double digit      leader in Web 
  payback              - 12 of top 20         revenue growth          Experience 
                         US sites           • 44% revenue             Management”
  World s most 
• World’s most
  comprehensive      • 1,250+ SMB             growth 2008           • Gartner: “A cool 
  testing network      customers                                      company”
The Traditional View of Web Application Delivery
    Systems                                             …user is 
management                                              happy
 tools: “OK”


                                                          Users

Load 
Balancing
Web 
Servers
App 
Servers
                           Web application
                           W b    li ti
DB 
Servers
Storage
Mobile 
Components
Virtualized 
Services

 Traditional zone 
    of control
The Challenge of Ensuring Quality Web Experiences
    Systems                                                                      …user is 
management                                                                       NOT happy
 tools: “OK”
                         The “Web 2.0 application delivery chain”

                              2                                              3
                                   3rd Party/Cloud               Local ISP         Users
                                    Web Services
Load 
Balancing
Web 
Servers
App 
Servers
DB                                      Internet
Servers
                      Major
Storage                ISP
Mobile 
M bil
Components
Virtualized 
Services
                                   Content Delivery              Mobile 
               1                      Networks                   Carriers
  Traditional zone                Zone of customer expectation
     of control
Managing the Performance of Virtualized Applications
    Systems                                                                         …user is 
management                                                                          NOT happy
 tools: “OK”


                                     d      / l d
                                   3rd Party/Cloud               Local ISP             Users
                                    Web Services
Load 
Balancing                     Company
Web 
Servers
                               • Broadcasting conglomerate delivering 400+ websites
App                           Situation
Servers
DB 
                               • IT/ Operations needs to continuously monitor
                                     O Internet
                                           ti      d t      ti     l     it
Servers                         performance of virtualized applications on shared
                      Major
                       ISP      infrastructure
Storage
Mobile 
M bil                          • Business owners want assurances that virtualization
Components                      will not negatively impact customer experience
Virtualized 
Services                       • IT/Operations wants to validate that workload variations
                                                                 Mobile 
               1                forContent Delivery do not impact end-users
                                    virtual services        Carriers
                                       Networks
  Traditional zone                Zone of customer expectation
     of control
Validate Virtual Application Performance for End‐Users

               Virtual 1                       • Consolidated applications to
                                                 virtualized servers
                     Virtual 2
                                               • Validated performance for end-
                                                           p
                                                 users across multiple VM hosts
                               Virtual 3
                                               • Alerted to performance issue
                                                 because of increased workload on
                                                 “Virtual 3”

                                               • And, validated end-user
       First byte time are a key health 
       First byte time are a key health          performance for b siness before &
                                                                 business
       indicator that virtual resources are      after launch
       “underwater” 
Performance for all 3 virtual resources
                                                        Monitoring shows the
                                                        business that the larger
                                                        site is delivered at a faster
       New & heavier site released on 
       virtual hardware
       virtual hardware                                 speed and with improved
                                                         p                  p
                                                        consistency for end-users
                                                        on virtual hardware
Work Effectively with Outsourced Providers
Ensure SLA Compliance & Performance with Key Vendors


       Issue #1                                   • Quantify the benefits
                                       Issue #2     of technology and
                                                    outsourcing
                                                    decisions (such as
                                                    CDNs, cloud
                                                    resources, and
      Vendor A’s product color swatches fail        infrastructure)
      to load after trying for 30 seconds
                                                  • Isolate the root
                                                    cause of slow
                                                    performance for key
                                                    providers
Product images delivered 
using Vendor B, a CDN, are                        • Ensure SLA
loading slowly and show                             compliance
long first byte times
   g        y
Managing Performance for End‐Users
Breaking open the Performance ‘Black Box’
                    Decreased Page 
                    D        dP
                    views AND           • Distinguish between real
                    increased object      problems and anomalies
                    errors
                                        • Real user monitoring captures
                                          the business impact of end-
                                          user performance issues

Lower than expected page views          • Correlate transaction volume
indicates an issue for end-users          & end-user performance to
                                          understand overall system
                                          health

                                        Drill down diagnostics shows if the
                                        issue is widespread across:
                                         • Geographies
                                         • Connection Speed or ISPs
                                         • Browsers
                                         • Infrastructure
Key Takeaways From Forrester


 Validate performance hypothesis in QA:
      Using a realistic environment
      Using a realistic environment
      Using end to end monitoring tools
 Understand the workload variations
      What are the normal performance levels
      What are the normal performance levels
      for a given period
      Distinguish between real problems and transient anomalies
 Many current management solutions are still very much technology silo 
 oriented and ignore the end user perspective
 Most of the current tools compound the issue by adding complexity of 
                              p                y      g    p     y
 deployment and operation
 Consider efficient alternatives such as SaaS to in house testing and 
 monitoring
    it i
The Gomez Solution: Web Application Experience Management

                                 The Gomez Platform
                                 The Gomez Platform
                               Self‐Service Unified SaaS Portal


   Cross‐Browser                Load and                  Web                           Web 
    and Device                Performance             Performance                   Performance
      Testing                    Testing              Management                  Business Analysis
    • Compatibility
          p       y         • High‐volume 
                                g                  • Real User monitoring
                                                                        g     • Web performance 
                                                                                     p
    • Functionality           backbone load        • Last Mile monitoring       analytics
    • Performance           • Real‐world           • Backbone monitoring      • Benchmarks
                              Last Mile load                                  • Business dashboard
              HTML, Web 2.0, Streaming, Web services, AJAX, Flash, FLEX, Mobile, etc. 
              HTML, Web 2.0, Streaming, Web services, AJAX, Flash, FLEX, Mobile, etc.

  Dashboards,              Recording &          Alerting &            APIs &              Education &
Metrics & Analytics        Provisioning         Diagnostics         Data Feeds           Best Practices


                       World’s Most Comprehensive Testing Network
                                     162 countries 2,500 ISPs

             500+            100+ commercial‐     4,600+             100,000+ 
             combos of       grade nodes and      supported          consumer‐grade 
             browsers        data centers         mobile devices
                                                          devices    desktops
             and O/S
Find Out How Gomez Can Help You
                                                   Some of O Customers
                                                   S     f Our C t
Gomez Solutions help companies
ensure their web applications perform
optimally f all users, b
  ti ll for ll         browsers, d i
                                 devices,
and geographies.

   Optimal performance and availability
   Quality operation across all browsers and
   mobile devices
   Rapid notification of issues with actionable
   diagnostics
   Insight into how these issues affect business


Learn M
L     More online at :
             li    t
          www.gomez.com


     Speak To A Gomez Solutions Expert
           Toll Free: 877.372.6732

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5 IT Trends That Reduce Cost And Improve Web Performance - A Forrester and Gomez Webinar

  • 1. 5 IT Trends That Reduce Cost and  Improve Web Performance  Jean Pierre Garbani - VP, Principal Analyst Forrester Research Imad Mouline - CTO, Gomez
  • 2.
  • 3. IT Business and Management Trends JP Garbani Vice President and Principal Analyst Forrester Research, Inc.
  • 4. Agenda 1) Key trends: the role of IT in the Enterprise 2) Th current IT landscape The t l d 3) Solutions for a leaner future 4) Performance issues 5) Recommendation and conclusion 4 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 5. IT Role As Defined By Business Users 5 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 6. IT Key Priorities 6 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 7. Productivity Equals Application Performance The key to productivity in interactive applications is response time: • .1 second is instantaneous • 1 second is when a response time is perceived • 10 seconds is when users lose focus on the interaction Basic rules • Simple and frequent tasks: 1 second or less • Common tasks: 2 to 4 seconds • Complex tasks: 8 to 12 seconds Source: Usability Engineering by Jacob Nielsen (Morgan Kaufman San Francisco) Kaufman, 7 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 8. But… Trends and Challenges • User’s performance expectations are rising as IT budgets are squeezed • Application business value and complexity increases – M lti ti applications are th norm Multi-tier li ti the • Time to value reduced through re-use, web services and SOA • Interoperability, portability, device diversity and size leads to configuration, deployment and production issues that impact performances • Outsourcing, hosting, cloud computing and virtualization opacity p p y present new challenges g 8 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 9. Web Application Complexity and User Expectations 9 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 10. Web Application Delivery Chain Client and Software Embedded Solutions devices e.g.SOA e g SOA Pervasive Business Interactions MetaData Core Business Services Unified Processes, Policies. Structure, etc. Organic IT Communications Voice Data Mobile Video Transaction Collaboration Network Infrastructure e.g. Cl d Computing Cloud C ti Infrastructure Virtualization 10 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 11. Translates into Performance Issues • As the size of software increases, the number of problems per KLOC increases proportionally • 74% of problems are reported by the end users through the service desk, not detected by infrastructure management • An average of 6 service desk calls are needed to identify the problem owner • Typical SLA: 95% of level 1 problems are answered in 2 hours IT Operations are bursting at the seams Source: Forrester Research 11 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 12. Reducing Diversity For a Leaner IT • Outsourcing legacy applications • Standardizing infrastructures using virtualization • Using packaged applications and SOA derivatives • Using SaaS for selected management functions 12 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 13. Application Management Pain Points Rank the pain level caused by the following situations (high to severe) Poor or erratic Java EE performance 26% Capturing and quantifying actual end user experience 26% Improving IT responsiveness by arming techs with data rather than relying on end user description of problems 30% Diagnostic problems across n-tier architectures than span Di ti bl ti hit t th mainframe and distributed 31% Lacking accurate tools for end to end transaction management 31% Determining root cause of poor application performance 37% Ziff Davis survey of 1190 IT professionals 13 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 14. Reducing MTTR and MTBF Recovery Productivity Extra costs costs costs Cost of data recovery Duration of + outage Cost of x external Number of Lost support people affected revenue x Duration of Average % lost outage Problem Problem productivity Identification Identification x x Percentage of + + Average cost Analysis and Analysis and unrecoverable of employee business resolution resolution + + + x Average Average Validation Validation employee p y testing testing t ti revenue per overtime cost hour Costs before deployment Costs of downtime and brown-outs in production Source: Forrester Research, Inc. 14 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 15. Evaluating the Black Box Performance μ Response Time Fixed Parameters (System Design) Service time (μ) is the characteristic end result of λ a workload (λ) applied to ( ) pp Black Box a given processing capacity Workload Output Variable Parameters (System Configuration, Application) 15 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 16. What we Should do: • Validate application architecture at the development stage and create a performance hypothesis • Validate performance hypothesis in QA: – Using a realistic environment – Using end to end monitoring tools • Understand the workload variations – What are the normal performance levels for a given period – Distinguish between real problems and transient variations and anomalies • Consider efficient alternatives such as SaaS to in house testing and monitoring 16 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 17. Recommendation: Towards a Leaner IT • IT evolution drivers are economical rather than technical – Improving workforce productivity and IT efficiency are the key themes • Simplification and standardization of infrastructures will be the dominant themes of the next five years • Any initiative such as consolidation, standardization, IT governance improvement or service management requires improvement, preparation – Understanding workloads and performance issues are key • Productivity and efficiency objectives are only reached when we consider all alternatives to perform a given performance management function g 17 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 18. Conclusion • The major driver for IT management and IT Operation evolution is to improve business productivity as efficiently as possible • Many current management solutions are still very much technology silo oriented and ignore the end user perspective • Most of the current tools compound the issue by adding complexity of deployment and operation • The consensus is that IT service delivery is better served not only by improved IT management processes, but also by monitoring solutions b it i l ti based on th S S model th t provide th d the SaaS d l that id the right data for an optimized operational cost 18 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 19. Thank you Jean-Pierre Garbani +1 617/613-6091 jgarbani@forrester.com jgarbani@forrester com www.forrester.com Entire contents © 2005 Forrester Research, Inc. All rights reserved. 19 Entire contents © 2008 Forrester Research, Inc. All rights reserved.
  • 20. 5 IT Trends That Reduce Cost and Improve Web Performance Jean Pierre Garbani - VP, Principal Analyst Forrester Research Imad Mouline - CTO, Gomez
  • 21. About Gomez We help customers ensure quality experiences  We help customers ensure quality experiences for their Web and mobile users Optimal performance and availability Quality operation across all browsers and mobile devices  Rapid notification of issues with actionable diagnostics Insight into how these issues affect business Insight into how these issues affect business SaaS Over 2,500  Solid Business  Recognized as  Platform Customers Performance Industry Leader Industry Leader • No installation • 1,250+ enterprise  • Five consecutive  • Forrester: “The  • Rapid startup &  customers years double digit  leader in Web  payback - 12 of top 20  revenue growth Experience  US sites • 44% revenue  Management” World s most  • World’s most comprehensive  • 1,250+ SMB  growth 2008 • Gartner: “A cool  testing network customers company”
  • 22. The Traditional View of Web Application Delivery Systems  …user is  management  happy tools: “OK” Users Load  Balancing Web  Servers App  Servers Web application W b li ti DB  Servers Storage Mobile  Components Virtualized  Services Traditional zone  of control
  • 23. The Challenge of Ensuring Quality Web Experiences Systems  …user is  management  NOT happy tools: “OK” The “Web 2.0 application delivery chain” 2 3 3rd Party/Cloud Local ISP Users Web Services Load  Balancing Web  Servers App  Servers DB  Internet Servers Major Storage ISP Mobile  M bil Components Virtualized  Services Content Delivery Mobile  1 Networks Carriers Traditional zone  Zone of customer expectation of control
  • 24. Managing the Performance of Virtualized Applications Systems  …user is  management  NOT happy tools: “OK” d / l d 3rd Party/Cloud Local ISP Users Web Services Load  Balancing Company Web  Servers • Broadcasting conglomerate delivering 400+ websites App  Situation Servers DB  • IT/ Operations needs to continuously monitor O Internet ti d t ti l it Servers performance of virtualized applications on shared Major ISP infrastructure Storage Mobile  M bil • Business owners want assurances that virtualization Components will not negatively impact customer experience Virtualized  Services • IT/Operations wants to validate that workload variations Mobile  1 forContent Delivery do not impact end-users virtual services Carriers Networks Traditional zone  Zone of customer expectation of control
  • 25. Validate Virtual Application Performance for End‐Users Virtual 1 • Consolidated applications to virtualized servers Virtual 2 • Validated performance for end- p users across multiple VM hosts Virtual 3 • Alerted to performance issue because of increased workload on “Virtual 3” • And, validated end-user First byte time are a key health  First byte time are a key health performance for b siness before & business indicator that virtual resources are  after launch “underwater”  Performance for all 3 virtual resources Monitoring shows the business that the larger site is delivered at a faster New & heavier site released on  virtual hardware virtual hardware speed and with improved p p consistency for end-users on virtual hardware
  • 27. Ensure SLA Compliance & Performance with Key Vendors Issue #1 • Quantify the benefits Issue #2 of technology and outsourcing decisions (such as CDNs, cloud resources, and Vendor A’s product color swatches fail  infrastructure) to load after trying for 30 seconds • Isolate the root cause of slow performance for key providers Product images delivered  using Vendor B, a CDN, are  • Ensure SLA loading slowly and show  compliance long first byte times g y
  • 29. Breaking open the Performance ‘Black Box’ Decreased Page  D dP views AND  • Distinguish between real increased object  problems and anomalies errors • Real user monitoring captures the business impact of end- user performance issues Lower than expected page views • Correlate transaction volume indicates an issue for end-users & end-user performance to understand overall system health Drill down diagnostics shows if the issue is widespread across: • Geographies • Connection Speed or ISPs • Browsers • Infrastructure
  • 30. Key Takeaways From Forrester Validate performance hypothesis in QA: Using a realistic environment Using a realistic environment Using end to end monitoring tools Understand the workload variations What are the normal performance levels What are the normal performance levels for a given period Distinguish between real problems and transient anomalies Many current management solutions are still very much technology silo  oriented and ignore the end user perspective Most of the current tools compound the issue by adding complexity of  p y g p y deployment and operation Consider efficient alternatives such as SaaS to in house testing and  monitoring it i
  • 31. The Gomez Solution: Web Application Experience Management The Gomez Platform The Gomez Platform Self‐Service Unified SaaS Portal Cross‐Browser  Load and  Web  Web  and Device  Performance  Performance  Performance Testing Testing Management Business Analysis • Compatibility p y • High‐volume  g • Real User monitoring g • Web performance  p • Functionality backbone load • Last Mile monitoring analytics • Performance • Real‐world  • Backbone monitoring • Benchmarks Last Mile load • Business dashboard HTML, Web 2.0, Streaming, Web services, AJAX, Flash, FLEX, Mobile, etc.  HTML, Web 2.0, Streaming, Web services, AJAX, Flash, FLEX, Mobile, etc. Dashboards,  Recording &  Alerting &  APIs & Education & Metrics & Analytics Provisioning Diagnostics Data Feeds  Best Practices World’s Most Comprehensive Testing Network 162 countries 2,500 ISPs 500+  100+ commercial‐ 4,600+  100,000+  combos of  grade nodes and  supported  consumer‐grade  browsers  data centers mobile devices devices desktops and O/S
  • 32. Find Out How Gomez Can Help You Some of O Customers S f Our C t Gomez Solutions help companies ensure their web applications perform optimally f all users, b ti ll for ll browsers, d i devices, and geographies. Optimal performance and availability Quality operation across all browsers and mobile devices Rapid notification of issues with actionable diagnostics Insight into how these issues affect business Learn M L More online at : li t www.gomez.com Speak To A Gomez Solutions Expert Toll Free: 877.372.6732