Patterns for Building High Performance Applications in Cloud

The session covers the various application patterns that should be used to build high performance applications for the cloud.

Transcript

1. 1 Munish K Gupta Patterns for Building High Performance Applications in Cloud
2. 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
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 for building High Performance Applications
4. 4 Patterns for building High Performance Applications Reduce Latency Scalability High Availability Application requirements
5. 5 Scalability
6. 6 Scalability
7. 7 Scalability No Load Balancing vs Load Balanced Stateful vs Stateless Synchronous vs Asynchronous
8. 8 Reduce Latency
9. 9 Reduce Latency
10. 10 Reduce Latency
11. 11 Reduce Latency ESB SOA
12. 12 Reduce Latency ESB SOA
13. 13 Reduce Latency ESB SOA Simplify – Not too many moving parts, simple application tiering
14. 14 Reduce Latency ESB SOA Simplify – Not too many moving parts, simple application tiering Bring data close to customer – Cache (browser, edge, webserver, data cache)
15. 15 Reduce Latency ESB SOA Simplify – Not too many moving parts, simple application tiering Bring data close to customer – Cache (browser, edge, webserver, data cache) Host closer to Customer – choose Cloud Vendor wisely
16. 16 High Availability
17. 17 High Availability
18. 18 High Availability
19. 19 Fail Over Write High Availability
20. 20 Master - Master Write Write Read Read High Availability Master - Master Replication mode
21. 21 Master - Slave Write Write Read Read Update High Availability Master-Slave replications mode
22. 22 High Performance Applications – Impact Factors Reduce Latency Scalability High Availability Application requirements
23. 23 High Performance Applications – Impact Factors • Topology of the Solution • Single Point of Failure(s) • Chosen Product Stack • Product 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 Reduce Latency Scalability High Availability Application requirements
24. 24 Summary • Patterns • Scalability • Load Balancer • Asynchronous • Stateless • Reducing Latency • Bring data closer to end user • Do not have too many moving parts • Host your application close to users! • High Availability • Fail Over • 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. Cloud Attributes Service based Scalable and Elastic Shared Metered usage Uses Internet Technologie s
25. 25 Munish K Gupta write2munish (at) gmail dot com Twitter @write2munish Blog(s) www.techspot.co.in www.akkaessentials.in