Developing Scalable Apps for deploying on IaaS Cloud CDC April 2012
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Developing Scalable Apps for deploying on IaaS Cloud CDC April 2012
- 1. Developing Scalable Apps for deploying on IaaS Cloud Munish K Gupta 1
- 2. Who am I? • 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 that help improve Scalability of Application • Best Practices when building scalable applications 3
- 4. High Performance Applications – Impact Factors • Topology of the Reduce Solution Latency • Single Point of Solution Failure(s) Architecture • Chosen Product Stack • Integration Strategy • Application Design Application • Choice of requirements Application Frameworks Architecture • Standards Enforcement • Build & Release High Scalability Availability • Hardware Choices made • Hardware/Software Deployment Sizing Architecture • System Configuration(s) • Hosting Environment • Application/System Monitoring • Capacity Planning 4
- 5. What is Scalability? Scalability means ability of an application to handle growing amount of data and concurrency in an efficient manner without impacting performance. 5
- 6. Darshini Model • Stateful • Synchronous • No Load Balancing • No failover 6
- 7. McDonald’s Model • Load Balanced • Stateless • Asynchronous • Event Driven / Message based • Partition by function 7
- 8. Go Stateless! • State == Sessions ! Local Sessions Centralized Session No Sessions 8
- 9. Load Balancing Load Balanced the DB Servers with active sync Load Balanced the DB Servers using Master-Slave replications mode Amazon RDS or SQL Azure options Adding more web server and application servers 9
- 10. Go Asynchronous ! • Break down the request into parts – Go Event Driven all the way ! Architecture • Isolate those that can be executed in non blocking mode (asynchronously) • Queue the information needed to complete the Task (messages) • Process the queues on the background thread (non blocking) 10
- 11. Best Practices • Partition by Function - Shard/Segment your Application.. Spread Out ! • Think Horizontal, Not Vertical • Scale Out • Use commodity equipment • Hardware and Memory is cheap - Add plenty of RAM and use 64bit hardware • Design application with failure in mind • Use caching wherever possible ! • Bring homogeneity in your application • Do not have too many moving parts • Think Simplicity • Define the QoS for your application 11
- 12. Best Practices • Continuous Application Monitoring • Test your ability to scale ! • Do not underestimate the importance of Processes & related documentation • Configuration Management • Release Management • Change Management • Source Control • Issue Tracking • Coding Standards • Minimize human intervention • Learn from Others ! 12
- 13. Summary • What is Scalability? • Factors that impact Application Scalability • Darshini vs McDonald Model • Scalability Patterns and Best Practices 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. 13
- 14. Munish K Gupta write2munish (at) gmail dot com Twitter @write2munish Blog(s) www.techspot.co.in 14 www.akkaessentials.in
Notes de l'éditeur
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