Developing Scalable Apps for deploying on IaaS Cloud

Transcript

1. 1 Munish K Gupta Developing Scalable Apps for deploying on IaaS Cloud
2. 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
3. 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
4. 4 High Performance Applications – Impact Factors Application requirements Reduce Latency Scalability High Availability • Topology of the Solution • Single Point of Failure(s) • Chosen Product Stack • Integration Strategy Solution Architecture • Application Design • Choice of Frameworks • Standards Enforcement • Build & Release Application Architecture • Hardware Choices made • Hardware/Software Sizing • System Configuration(s) • Hosting Environment • Application/System Monitoring • Capacity Planning Deployment Architecture
5. 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.
6. 6 Darshini Model • Stateful • Synchronous • No Load Balancing • No failover
7. 7 • Load Balanced • Stateless • Asynchronous • Event Driven / Message based • Partition by function McDonald’s Model
8. 8 Go Stateless! • State == Sessions ! Local Sessions Centralized Session No Sessions
9. 9 Load Balancing Adding more web server and application servers Load Balanced the DB Servers with active sync Load Balanced the DB Servers using Master-Slave replications mode Amazon RDS or SQL Azure options
10. 10 Go Asynchronous ! • Break down the request into parts – Go all the way ! • 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) Event Driven Architecture
11. 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
12. 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 !
13. 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.
14. 14 Munish K Gupta write2munish (at) gmail dot com Twitter @write2munish Blog(s) www.techspot.co.in www.akkaessentials.in