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From Components to Real-User
     Transactions to the Business:
(How Metron and Correlsense Integrate to Provide an
   ITIL-aligned Capacity Management Solution)




               September 22, 2011
        Rich Fronheiser, Metron-Athene, Inc.
Agenda


• A brief overview of ITIL Capacity Management
• The need for both component data and transaction data
  to do effective Capacity Management
• How Sharepath can help you monitor your transactions
• How Athene can provide component data and business
  data and a framework for effective Capacity
  Management reporting, analysis, and planning
• How Athene and Sharepath can provide an integrated
  solution for effective Capacity Management
What is ITIL (v3)?


• Good practice for IT Service Management
• Based on the Service Management Lifecycle
  o   Service Strategy
  o   Service Design
  o   Service Transition
  o   Service Operation
  o   Continual Service Improvement
ITIL Capacity Management


• Goal
• Purpose
• Objectives
• Scope
ITIL Capacity Management


• Three levels of Capacity Management
  o   Business
  o   Service
  o   Component

• Requirements most often flow “top-down” and data and
  information “bottom-up”
Capacity Management Activities


• Iterative activities
   o   Monitoring, Analysis, Tuning, Implementation

• Demand Management
• Modeling
• Application sizing
• Modeling
• Storing data in the CMIS
• Completing the Capacity Plan
Capacity Management:
Basic questions that need answers

• What is the expected business growth next year, and
  how will it affect our IT infrastructure?
• Which infrastructure items (servers and logical
  components) are serving which business applications
  and services?
• How will the relationship between the underlying
  components affect services levels and in a wider context
  the business that uses them?
• Which infrastructure components can be consolidated
  without degrading service levels?
Today’s Capacity Management Challenge


Planning ahead to achieve service levels while managing:



       Business              Constant Change, M&A

       Service      Complex, Multi-Tiered Architectures, SOA

      Component
                     Heterogeneous, Dynamic (Virtualization,
                                    Cloud)
Many kinds of data needed


• Business data
• Service data
• Component data
• Financial data
• Relationships
Sharepath from Correlsense


• Allows you to monitor all real-user transactions in
  production
• Allows you to capture statistics from all the hops in the
  infrastructure
• Builds a map that shows the relationships between IT
  components even in very complicated environments
• Provides statistics for many different functions in an
  organization, including Capacity Management
Real-Time Detection – The Key to Business/IT
 Alignment!


 • Transaction Metering
 • Mapping and Modeling



                                                                                        External
                                                                                         Cloud

                                                                                                   Partner
                                                                Web                                App
                                                              Services                                       Partner
                                                                             App                             App
                                                                           Servers
                                                    Virtual
                                                     Web
                                                    Servers

Wire Xfer   Wire Xfer       Firewall                                                         Msg.
                                                                                            Broker
<$100K      >$100K
                                                                     Load
                                                                    Balancer                                     DB
                                                                                      App
                                                  Proxy                              Servers
                                                          Virtual
                                                           Web                                       Mainframe
                        Network                                          Directory
                                       Firewall           Servers         Server
How SharePath Works

                                            o    Patent pending technology
                                            o    No need for code change
                                            o    Stores 100% of all traffic –
                                                 by design
                                            o    No manual modeling
                                            o    Negligible overhead




 Individual Transaction   Transaction and                  Auto-detection of
 Path Detection           Application Modeling             dependency topology
Aligning Business and IT for Optimized Planning

• Transactions are the missing link that tie together
  infrastructure, applications and the business



                         IT



                  TRX

                           Business
Aligning Business and IT for Optimized Planning

• By tracking transactions through all hops, SharePath
  creates valuable, business-contextual data
       Real User
      Experience




      Application




       Network




    Infrastructure
Data for Key IT Initiatives


                       Problem
                       Isolation


            Trends                 BSM


                     SharePath
                       Data
             End
                                   SLAs
            Users


                         Roll
                         Outs
athene®

  Capacity Management Data / Information




                                           1/3/2012
                                                 17
athene®

  Ad hoc drill down




                      1/3/2012
                            18
athene®

  Robust Reporting




                     1/3/2012
                           19
athene®


• Component data can be captured or imported from
  many different platforms and sources

• Business data can be imported into a central database
  for use within Planning (trending and modeling)
  applications

• Data can be captured and stored at all three levels of
  ITIL Capacity Management – let’s see how Sharepath
  data can be used within Athene to provide an
  enterprise-wide Capacity Management solution
Athene/Sharepath Demo
Introduction


• How does SharePath integrate with Athene?
• How can it be used in the real-world?
• What value does it add?
Scenario


• Two applications
   o   Online Trading
   o   eBanking

• Hosted on multiple servers (UNIX & Linux)
Data Integration


              Online Trading Response Time - 21/07/2010
          SLA Warn ing      SLA Breach             Average Response seconds

 4.0

 3.5

 3.0

 2.5

 2.0

 1.5

 1.0

 0.5

 0.0




                                     21/07/2 010
Data Integration



         Online Trading Total Transactions by Type - 21/07/2010
           Customer Attri butes   Equi ty Orders       Order Routi ng   OT Risk Anal ysis

 35000


 30000


 25000

 20000


 15000

 10000


  5000


     0




                                                   21/07/2 010
Data Integration


                      Online Trading Response Time Correlation
        CPU Uti li zati on Tota l Reported %, mercury             Average Response seconds, resp ti me,Onl in eTra ding

100                                                                                                                       4.0

 90
                                                                                                                          3.5
 80
                                                                                                                          3.0
 70
                                                                                                                          2.5
 60

 50                                                                                                                       2.0

 40
                                                                                                                          1.5
 30
                                                                                                                          1.0
 20
                                                                                                                          0.5
 10

  0                                                                                                                       0.0




                                                        21/07/2 010
Data Integration


         Server Utilization by Application on the 18/07/2010 for mercury
                  eBan ki ng,Customer Verifi ca ti o,mercu ry       On li ne T radi ng,OT Ri sk Anal ysi s,mercury

  3500


  3000


  2500


  2000


  1500


  1000


   500


     0




                                                                21/07/2 010
Questions


•   SLA’s are being breached, what course of action
    should we take?
•   How much extra work can an application cope with?
•   Should I move a workload or upgrade the server?
Models




     “A model is a simplification of
   reality, built for a specific purpose”
Modeling Overview - Trending
Modeling Overview - Analytical


        Response times are non-linear   Non-linear
R       Traffic related queuing         change in
                                        Response
        Lists, cache, freeslots          Time R
        Constraints of OS and network
        Constraints of RDBMS etc
        Feedback loops
        Non-intuitive.




                  Utilization U
Modeling Challenges


• Which servers are hosting which applications?
   o   Understanding the relationships
   o   Understanding the volumes
   o   Understanding the resource consumption

• Accurately assigning resource usage
   o   SharePath accurately captures the workload split
Modeling - Baseline
Modeling – scenario one
Modeling – scenario two
Summary


• Business runs on transactions, transactions run on IT
   o   Transactions are the missing link between
   o   Components
   o   Services
   o   Business

• By using SharePath to fully track transactions and
  Athene to optimize capacity management
   o   Valuable business/IT data is created
   o   Unprecedented visibility is gained

• Enabling Athene to use this valuable data drives better
  capacity management decisions and predictions
Summary


• Together, Correlsense and Metron provide the first
  transaction-based capacity planning solution that is
  capable of handling today’s business and IT alignment
  challenges
QUESTIONS?
Further information can be found at

     www.metron-athene.com


          or by contacting

    rich.fronheiser@metron-athene.com

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Transaction-based Capacity Planning for greater IT Reliability™ webinar

  • 1. From Components to Real-User Transactions to the Business: (How Metron and Correlsense Integrate to Provide an ITIL-aligned Capacity Management Solution) September 22, 2011 Rich Fronheiser, Metron-Athene, Inc.
  • 2. Agenda • A brief overview of ITIL Capacity Management • The need for both component data and transaction data to do effective Capacity Management • How Sharepath can help you monitor your transactions • How Athene can provide component data and business data and a framework for effective Capacity Management reporting, analysis, and planning • How Athene and Sharepath can provide an integrated solution for effective Capacity Management
  • 3. What is ITIL (v3)? • Good practice for IT Service Management • Based on the Service Management Lifecycle o Service Strategy o Service Design o Service Transition o Service Operation o Continual Service Improvement
  • 4. ITIL Capacity Management • Goal • Purpose • Objectives • Scope
  • 5. ITIL Capacity Management • Three levels of Capacity Management o Business o Service o Component • Requirements most often flow “top-down” and data and information “bottom-up”
  • 6. Capacity Management Activities • Iterative activities o Monitoring, Analysis, Tuning, Implementation • Demand Management • Modeling • Application sizing • Modeling • Storing data in the CMIS • Completing the Capacity Plan
  • 7. Capacity Management: Basic questions that need answers • What is the expected business growth next year, and how will it affect our IT infrastructure? • Which infrastructure items (servers and logical components) are serving which business applications and services? • How will the relationship between the underlying components affect services levels and in a wider context the business that uses them? • Which infrastructure components can be consolidated without degrading service levels?
  • 8. Today’s Capacity Management Challenge Planning ahead to achieve service levels while managing: Business Constant Change, M&A Service Complex, Multi-Tiered Architectures, SOA Component Heterogeneous, Dynamic (Virtualization, Cloud)
  • 9. Many kinds of data needed • Business data • Service data • Component data • Financial data • Relationships
  • 10. Sharepath from Correlsense • Allows you to monitor all real-user transactions in production • Allows you to capture statistics from all the hops in the infrastructure • Builds a map that shows the relationships between IT components even in very complicated environments • Provides statistics for many different functions in an organization, including Capacity Management
  • 11. Real-Time Detection – The Key to Business/IT Alignment! • Transaction Metering • Mapping and Modeling External Cloud Partner Web App Services Partner App App Servers Virtual Web Servers Wire Xfer Wire Xfer Firewall Msg. Broker <$100K >$100K Load Balancer DB App Proxy Servers Virtual Web Mainframe Network Directory Firewall Servers Server
  • 12. How SharePath Works o Patent pending technology o No need for code change o Stores 100% of all traffic – by design o No manual modeling o Negligible overhead Individual Transaction Transaction and Auto-detection of Path Detection Application Modeling dependency topology
  • 13.
  • 14. Aligning Business and IT for Optimized Planning • Transactions are the missing link that tie together infrastructure, applications and the business IT TRX Business
  • 15. Aligning Business and IT for Optimized Planning • By tracking transactions through all hops, SharePath creates valuable, business-contextual data Real User Experience Application Network Infrastructure
  • 16. Data for Key IT Initiatives Problem Isolation Trends BSM SharePath Data End SLAs Users Roll Outs
  • 17. athene® Capacity Management Data / Information 1/3/2012 17
  • 18. athene® Ad hoc drill down 1/3/2012 18
  • 19. athene® Robust Reporting 1/3/2012 19
  • 20. athene® • Component data can be captured or imported from many different platforms and sources • Business data can be imported into a central database for use within Planning (trending and modeling) applications • Data can be captured and stored at all three levels of ITIL Capacity Management – let’s see how Sharepath data can be used within Athene to provide an enterprise-wide Capacity Management solution
  • 22. Introduction • How does SharePath integrate with Athene? • How can it be used in the real-world? • What value does it add?
  • 23. Scenario • Two applications o Online Trading o eBanking • Hosted on multiple servers (UNIX & Linux)
  • 24. Data Integration Online Trading Response Time - 21/07/2010 SLA Warn ing SLA Breach Average Response seconds 4.0 3.5 3.0 2.5 2.0 1.5 1.0 0.5 0.0 21/07/2 010
  • 25. Data Integration Online Trading Total Transactions by Type - 21/07/2010 Customer Attri butes Equi ty Orders Order Routi ng OT Risk Anal ysis 35000 30000 25000 20000 15000 10000 5000 0 21/07/2 010
  • 26. Data Integration Online Trading Response Time Correlation CPU Uti li zati on Tota l Reported %, mercury Average Response seconds, resp ti me,Onl in eTra ding 100 4.0 90 3.5 80 3.0 70 2.5 60 50 2.0 40 1.5 30 1.0 20 0.5 10 0 0.0 21/07/2 010
  • 27. Data Integration Server Utilization by Application on the 18/07/2010 for mercury eBan ki ng,Customer Verifi ca ti o,mercu ry On li ne T radi ng,OT Ri sk Anal ysi s,mercury 3500 3000 2500 2000 1500 1000 500 0 21/07/2 010
  • 28. Questions • SLA’s are being breached, what course of action should we take? • How much extra work can an application cope with? • Should I move a workload or upgrade the server?
  • 29. Models “A model is a simplification of reality, built for a specific purpose”
  • 31. Modeling Overview - Analytical Response times are non-linear Non-linear R Traffic related queuing change in Response Lists, cache, freeslots Time R Constraints of OS and network Constraints of RDBMS etc Feedback loops Non-intuitive. Utilization U
  • 32. Modeling Challenges • Which servers are hosting which applications? o Understanding the relationships o Understanding the volumes o Understanding the resource consumption • Accurately assigning resource usage o SharePath accurately captures the workload split
  • 36. Summary • Business runs on transactions, transactions run on IT o Transactions are the missing link between o Components o Services o Business • By using SharePath to fully track transactions and Athene to optimize capacity management o Valuable business/IT data is created o Unprecedented visibility is gained • Enabling Athene to use this valuable data drives better capacity management decisions and predictions
  • 37. Summary • Together, Correlsense and Metron provide the first transaction-based capacity planning solution that is capable of handling today’s business and IT alignment challenges
  • 39. Further information can be found at www.metron-athene.com or by contacting rich.fronheiser@metron-athene.com

Editor's Notes

  1. Title Page
  2. Sharepath provides unprecedented Business / IT visibility. Not only does Sharepath automatically detect dependencies and create a map of those, it also does multi-tier transaction modeling, application metering, and provide the ability to track the adherence to and the violations of service level agreements for individual transactions.