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Patterns for Building High Performance Applications in Cloud - CloudConnect2012
Patterns for Building High Performance Applications in Cloud Munish K Gupta1
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
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
Patterns for building High Performance Applications Reduce Latency Scalability High Availability Application requirements4
Scalability No Load Balancing vs Load Balanced Stateful vs Stateless Synchronous vs Asynchronous5
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)
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
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.in10 www.akkaessentials.in
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