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Patterns for Building High
    Performance Applications in Cloud
                Munish K Gupta




1
Who am I?                     Twitter - @write2munish

    • Current Avatar
       • Practice Lead – Architecture for High Performance Applications
         (AHiPA) @ Wipro Technologies
       • Work with lot of open source stuff – Play
         Framework, Akka, Scala, mongodb, redis, LAMP stack
    • Previous Avatar
       • Chief Architect for ideaken.com
       • Worked @ Wipro, Sapient, MindTree and Siemens


    • My Blogs
       • http://www.techspot.co.in
       • http://www.akkaessentails.in


2
Expectation(s)
    • This session will not solve your problems !

    • My goals are
        •   To make you think harder about your problems
        •   Help you evaluate possible solutions

    • Agenda
        •   Patterns for building High Performance Applications




3
Patterns for building High Performance Applications



                           Reduce
                           Latency

                                     Scalability




                       High
                     Availability




                Application requirements
4
Scalability




       No Load Balancing vs Load Balanced

                  Stateful vs Stateless

            Synchronous vs Asynchronous




5
Reduce Latency
      Simplify – Not too many
       moving parts, simple
         application tiering


                                                 SOA

                                             ESB




       Host closer to
    Customer – choose
    Cloud Vendor wisely
                                 Bring data close to customer – Cache
6
                                (browser, edge, webserver, data cache)
High Availability
                                       Master - Master Replication
                                       mode

                                                      Master-Slave
                                                      replications mode
                               Write



                        Read
                                   Write     Update


                               Read


                                   Master - Slave
                                            Master




                                Fail Over

7
High Performance Applications – Impact Factors


                                                                      • Topology of the
                                                                        Solution
                                                                      • Single Point of
                                              Solution                  Failure(s)
             Reduce                                                   • Chosen Product
             Latency                        Architecture                Stack
                                                                      • Product Integration
                       Scalability                                      Strategy


                                                           • Application Design
                                                           • Choice of
                                     Application             Frameworks
                                     Architecture          • Standards
                                                             Enforcement
         High                                              • Build & Release
       Availability
                                                                      • Hardware Choices
                                                                        made
                                                                      • Hardware/Software
                                                                        Sizing
    Application requirements                Deployment                • System
                                                                        Configuration(s)
                                            Architecture              • Hosting Environment
                                                                      • Application/System
                                                                        Monitoring
                                                                      • Capacity Planning



8
Summary

                                                                     Service
    • Patterns                                                       based

       • Scalability
           • Load Balancer
                                                    Uses
           • Asynchronous                         Internet                                 Scalable
                                                Technologie                               and Elastic
           • Stateless                                s
       • Reducing Latency                                             Cloud
                                                                    Attributes
           • Bring data closer to end user
           • Do not have too many moving parts
           • Host your application close to users!
       • High Availability
                                                          Metered
                                                                                 Shared
           • Fail Over                                     usage
           • Redundancy



      You can read all the books in the world about riding a
       bicycle, but you will not be able to ride one until you
                 get on it and fall off a few times.
9
Munish K Gupta
     write2munish (at) gmail dot com

       Twitter
       @write2munish
                           Blog(s)
                 www.techspot.co.in
10             www.akkaessentials.in

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Patterns for Building High Performance Applications in Cloud - CloudConnect2012

  • 1. Patterns for Building High Performance Applications in Cloud Munish K Gupta 1
  • 2. Who am I? Twitter - @write2munish • Current Avatar • Practice Lead – Architecture for High Performance Applications (AHiPA) @ Wipro Technologies • Work with lot of open source stuff – Play Framework, Akka, Scala, mongodb, redis, LAMP stack • Previous Avatar • Chief Architect for ideaken.com • Worked @ Wipro, Sapient, MindTree and Siemens • My Blogs • http://www.techspot.co.in • http://www.akkaessentails.in 2
  • 3. Expectation(s) • This session will not solve your problems ! • My goals are • To make you think harder about your problems • Help you evaluate possible solutions • Agenda • Patterns for building High Performance Applications 3
  • 4. Patterns for building High Performance Applications Reduce Latency Scalability High Availability Application requirements 4
  • 5. Scalability No Load Balancing vs Load Balanced Stateful vs Stateless Synchronous vs Asynchronous 5
  • 6. Reduce Latency Simplify – Not too many moving parts, simple application tiering SOA ESB Host closer to Customer – choose Cloud Vendor wisely Bring data close to customer – Cache 6 (browser, edge, webserver, data cache)
  • 7. High Availability Master - Master Replication mode Master-Slave replications mode Write Read Write Update Read Master - Slave Master Fail Over 7
  • 8. High Performance Applications – Impact Factors • Topology of the Solution • Single Point of Solution Failure(s) Reduce • Chosen Product Latency Architecture Stack • Product Integration Scalability Strategy • Application Design • Choice of Application Frameworks Architecture • Standards Enforcement High • Build & Release Availability • Hardware Choices made • Hardware/Software Sizing Application requirements Deployment • System Configuration(s) Architecture • Hosting Environment • Application/System Monitoring • Capacity Planning 8
  • 9. Summary Service • Patterns based • Scalability • Load Balancer Uses • Asynchronous Internet Scalable Technologie and Elastic • Stateless s • Reducing Latency Cloud Attributes • Bring data closer to end user • Do not have too many moving parts • Host your application close to users! • High Availability Metered Shared • Fail Over usage • Redundancy You can read all the books in the world about riding a bicycle, but you will not be able to ride one until you get on it and fall off a few times. 9
  • 10. Munish K Gupta write2munish (at) gmail dot com Twitter @write2munish Blog(s) www.techspot.co.in 10 www.akkaessentials.in

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