The document discusses deploying applications in the cloud, emphasizing the importance of virtualization throughout the application stack for better resource utilization and automatic load balancing. It outlines the challenges faced by mid-size banks in managing cloud infrastructure and achieving scalability, while proposing a multi-tenant, scalable architecture as a solution. Best practices for transitioning to cloud environments include minimizing vendor lock-in and ensuring application portability to adapt to evolving technologies.

1. Deploying Application on the Cloud The Care and Feeding of Cloud applications Nati Shalom , CTO & Founder GigaSpaces Abbass Valliani Managing Director, Primatics

2. About GigaSpaces Technologies 75+ Cloud Customers 300+ Direct Customers Among Top 50 Cloud Vendors Enabling applications to run a distributed cluster as if it was a single machine…

3. The Missing Piece… Business tier Back-up Back-up Back-up Back-up Load Balancer Web Tier Messaging Data Tier What will happen when you add a new machine? Which part of the app should move to that new machine? How will the app behave in terms of throughput, scaling?

4. The Solution: Virtualization trough the entire stack Messaging Data Tier Bottom line : Better Resource Utilization All resources are shared Machines are virtualized Middleware is virtualized Auto-balanced, Managed Business tier Load Balancer Web Tier

5. On Demand Middleware Services for the Enterprise Characteristics On Demand Automatic provisioning Multi-tenant Use shared resources Auto-scale Span across more machines Down-scale when needed Always on Handle fail-over automatically Load data Load data An Enterprise Middleware Services Grid Simple and cost effective way to deliver independent middleware services The robustness and completeness of XAP in a delivery model as simple as Amazon Web Services (SimpleDB, SQS, Map/Reduce) Shared Pool of Virtual Machines Create a Data Grid Min (10G), Max (100G) Create a Data Grid Min (10G), Max (200G)

6. SaaS Enablement – Primatics Financial Category: Batch processing Business Case Many mid-size regional banks with sizeable mortgage portfolios Outsource sophisticated mortgage credit risk modeling Suited for PaaS, pay-as-you-go: outsource IT infrastructure to perform costly computations Relied on manual installation Challenges Managing data on the cloud Achieving Linear scalability Performance Data load and processing could take a lot of time Complexity Spend lots of time on building infrastructure then dealing with their core business Lock-in Avoiding Lockin to specific cloud provider Reliability Handling failure and reliability in the cloud can be extremely complex

7. Solution: Multi Tenant Scalable Architecture Many jobs by the same user Many users in a firm Many firms Risk Analytics Platform More loans, more simulations, longer horizon Paa S

8. Results per simulation Output 2.5MB/s, 12.5k records / second. Input 128k/s 83 records/s. Scales linearly per batch/machine combination

9. Cost Benefits Time to market Shorter time to market Better throughput and scalability translate to less machines hours . Full automation translates to better use of machine hours only when they needed Reliability Avoid lost of machine hours during a simulation failure Portability (Between clouds incl private cloud) Enable to benefit from the competitive cloud market Development cost Save the infrastructure development cost

10. SaaS Enablement – Real Time Billing Category: Real Time Transaction Processing Active Mediation is a network grade event processing platform: Policy management, Pre-paid service control Challenges Cloud computing is very different then the current environment Relied on manual installation Static network configuration Static server configuration (Server relied on local disks for configuration) Solution Step 1 – Port to Amazon image (Using GigaSpaces) Step 1 – Automation Step 2 - Dynamic IP (Including on demand Oracle Database provisioning) Active Mediation

11. Summary – Best Practices Avoid radical change, enabling a gradual process Choose an architecture supporting linear scalability Minimize vendor lock-in Enable application portability and freedom of choice of: cloud provider, web container, programming language, database Minimize API lock in: Use of standards API Abstractions – when standards are not available Future proof your application Don’t make decision today, but be ready to make one without major effort Avoid long-term commitment – choose the right licensing model