In this presentation I compare between the between the Google App Engine and Amazon approach to cloud computing. I then suggest a model that takes the best out of the two worlds showing how you can built a PaaS on top of Amazon. Toward the end Primatics demonstrate a real life case study of a financial application running risk analytic as a service using that platform and discuss their lessons from their experience. The new Amazon-PaaS platform is available on http://www.gigaspaces.com/mycloud A more detailed summary of this presentation is available here: http://natishalom.typepad.com/nati_shaloms_blog/2009/06/google-app-engine-plus-amazon-aws-best-of-both-worlds.html

1. Alternative to Google Application Engine for Java™ Technology-Based Applications Nati Shalom CTO GigaSpaces Natishalom.typepad.com Twitter.com/natishalom Francis de la Cruz Manager , Argyn Kuketayev Senior Consultant, Primatics Financial

2. About GigaSpaces 2,000+ Deployments 100+ Direct Customers Among Top 50 Cloud Vendors A middleware platform enabling applications to run a distributed cluster as if it was a single machine

4. Introduction to cloud computing SaaS PaaS IaaS

6. AWS vs GAE Source:Zdnet

11. Typical Enterprise Application Business tier Back-up Back-up Back-up Back-up Load Balancer Web Tier Messaging Data Tier Do you see a problem?

15. PaaS on top of AWS – Architecture view Application Repository (S3) MT Application Provisioning IaaS Provider (EC2, GoGrid, Sun, VMWhere, Citrix,..) App A App B Application Deployment Configuration 2)Deploy 1)Install Provision 3)Manage

17. Understanding the provisioning process GSC Start GSC Join the GSM cluster GSM Start GSM Deploy processing units LB Start the Load Balancer Add/Remove web container DB Initialize the database storage Start the database Deployment manager Machine Parse the deployment configuration Provision the VM with assigned profile Monitor and manage the application Install software packages from repo Assign machine profile Repeat for all machines

19. Develop Custom SLA

21. End 2 End Elasticity Load Balancer to Database Embedded Web Container Dynamic Load Balancing HTTP Session Replication In Memory Data Grid Async update to the Database Dynamic SLA Based Scaling

22. Design for linear scalability Users Load Balancer Web Processing Units Business Processing Units DB Partition the entire application stack

24. Case Study: Evolv ™ Risk: Cloud Computing Use Case for Java One 2009 Francis de la Cruz Manager, Primatics Financial Argyn Kuketayev Senior Consultant, Primatics Financial

28. Business Needs: Accounting-Cashflows Risk Analytics Platform Stochastic (Monte Carlo) simulation: for each loan run 100 paths (360 months each) INPUT Loan Portfolio ( 100MB): 100k Loans x 1 KB data Forecast Scenarios (100MB): 1MB per simulation path Market History (<1MB) Assumptions, Setting, Dials (<1KB) OUTPUT Cashflows (3GB): 100k Loans x 360 months x 10 Doubles

29. Business Needs: Scale Many jobs by the same user Many users in a firm Many firms More loans, more simulations, longer time horizon Risk Analytics Platform

31. Evolv Risk 1.5 vs 2.0 Software Stack GIGASPACES Prior Grid Framework J2EE Platform Loans & securities Loans Web-Interface SSL Reporting Warehouse Model API Scenarios Loss & Valuation Securities Custom Templates Validation Pluggable Client models Model Validation & statistics Cohorts HPI rates Interest rates Market rates Provisioning Monitoring Job Scheduling Failover / Recovery Load Balancing AWS Billing Registration Management Loss Forecasts Valuations Discount rates Node Management OLAP Reports Auto Throttling SLA Space Based Architecture Scaling Manual Process Model Validation & statistics Provisioning Monitoring Billing AWS Registration AWS management Not In Architecture Auto Throttling Space Based Architecture SLA Node Management * Broker (MQ) Sun JMS Discovery Persistence Manager J2EE Platform Inbuilt models

32. Performance, Scalability, Data Security, Data Integrity

33. Performance, Scalability, Data Security, Data Integrity Primatics Gateway AWS Provisioning

40. Nati Shalom Natishalom.typepad.com Twitter.com/natishalom Run your own demo http:// www.gigaspaces.com/mycloud