Cloud/SaaS enablement of existing applications

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1 Cloud/SaaS enablement of existing applications GigaSpaces: Nati Shalom, CTO & Founder

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

3 Current Application Development Cycle Infrastructure Purchasing HW/NW resources Setting up the environment Installation/Management/Tuning Sizing measurement Tuning and maintenance Integration Setting up messaging infrastructure Plumbing services together Core application development Developing core business logic/workflow Designing user interface Management. Tuning Integration App Dev Installation Infrastructure New Scaling Requirements Time

4 The solution Cloud/SaaS the ideal world SaaS App 1 App 2 App 3 PaaS IaaS

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

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

7 On Demand Middleware Services for the Enterprise 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) Characteristics On Demand Create a Data Grid Min (10G), Max (100G) Load data Create a Data Grid Min (10G), Max (200G) Load data Automatic provisioning Multi-tenant Use shared resources Auto-scale Span across more machines Down-scale when needed Always on Handle fail-over automatically Shared Pool of Virtual Machines

8 Value Step by step approach Messaging over IMDG IMDG as System of Record Web Tier Remoting over IMDG Effort Architecture On-demand provisioning vs. static, peak-based Parallel Processing vs. client-server Partitioned virtualized servers vs. central server Partitioned virtualized servers vs. central server Savings Examples 7 machines (10 peak 3 avg) 90 machines (100 peak, 10 avg) 6x machines 6x machines Additional Benefits Self-healing Basic caching Auto deployment Automatic failover Map/Reduce Async invocation Location transparency Commodity HW Low latency (in-memory) Fast& Consistent response time. Commodity db vs. highend

9 Putting it all together (Public Cloud) Application Deployment Package Multi Tenant Middleware Provisioning 1- Install 2 - Deploy 3 - Manage Amazon Elastic Fox Amazon - IaaS Amazon S3 Application Repository App A App B

10 Putting it all together (Private Cloud) Application Deployment Package Multi Tenant Middleware Provisioning 1- Install 2 - Deploy 3 - Manage VM Provision vsphere - IaaS Application Repository App A App B

11 Application/Middleware virtualization in action Virtual machines becomes App- Services container App-Services are provisioned based on SLA: Data Grid Web Service Database Primary backup runs on separate machines Web containers don t share the database machine Database runs on dedicated machine `

12 Auto balancing Application/Middleware gets auto-balanced when new resources joins the pool Auto Rebalancing New Machine

13 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) Next steps Add dynamic scaling requires a change in how the application is packaged Active Mediation

14 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 Complexity Spend lots of time on building infrastructure then dealing with their core business Reliability Handling failure and reliability in the cloud can be extremly complex Cost Used more machine then they needed due to in-efficiency of their infrastructure. Kept the machine running all the time as it took a long time to shutdown and bring new environment up. Failure forced them to restart an entire simulation, lost of reputation and business! Multitenancy Most existing infrastructure was not designed for multi-tenant environment Solution Use PaaS on-top of Amazon IaaS to reduce complexity Combine service oriented VM to manage multi-tenancy

15 Solution: Multi Tenant Scalable Architecture Many firms Many users in a firm Many jobs by the same user More loans, more simulations, longer horizon Risk Analytics Platform PaaS 15

16 GigaSpaces PaaS/SaaS ROI Reduced development costs, minimize migration costs: Develop locally; deploy without change to a cloud environment when you are ready Increased performance, Better utilization Achieve up to 10 X performance enhancements over standard implementations, consolidate servers at 1:5 ratio Multi-tenancy Ability to partition each physical machine into sub machines using our SLA driven container model. Simplistic deployment and management Complete application life cycle support enabling easy deployment and cleanup (shutdown) of the entire application instances Network/Storage GigaSpaces enables you to keep your data in-memory and run your business logic collocated with the data reducing network and storage costs. Reduce cloud infrastructure license costs GigaSpaces provides a single platform that delivers all the components and functions required for runtime.

17 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

18 IGT Collaborate now Knowledge sharing and networking of 50 companies Grid/Cloud Technologies Industry Oriented Conferences Work Groups Knowledge Center Workshops Lab International Collaborations

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