Patterns for Building High Performance Applications in Cloud - CloudConnect2012
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Patterns for Building High Performance Applications in Cloud - CloudConnect2012 Presentation Transcript

  • 1. Patterns for Building High Performance Applications in Cloud Munish K Gupta1
  • 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.in2
  • 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 Applications3
  • 4. Patterns for building High Performance Applications Reduce Latency Scalability High Availability Application requirements4
  • 5. Scalability No Load Balancing vs Load Balanced Stateful vs Stateless Synchronous vs Asynchronous5
  • 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 – Cache6 (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 Over7
  • 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 Planning8
  • 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.in10 www.akkaessentials.in