DataSynapse provides a platform called FabricServer that allows enterprises to more efficiently utilize their IT infrastructure and deploy applications. It does this by enabling enterprises to package applications to run on physical, virtual, or cloud environments. This helps improve infrastructure utilization rates, reduce costs, and accelerate application deployment times. FabricServer provides tools to build self-contained application packages, deploy them across different environments, and implement policy-based management of applications at runtime. It aims to bring cloud-like capabilities in-house to help IT organizations better optimize resource usage.

1. DataSynapse Overview

2. Enterprise IT Problem Domain Reducing Datacenter Costs & Improving IT Operations Business Drivers Poor demand & capacity planning across functions Senior management holding CIOs accountable for operational efficiency 6% server utilization, 56% facility utilization Current State Infrastructure Utilization Datacenter assets dramatically under-utilized Infrastructure Growth Rates Demand for infrastructure growing rapidly Application Time to Deploy Takes too long to deploy enterprise applications Applications Performance Applications that don’t consistently meet to SLAs IT Costs CapEx budgets can’t satisfy demand for infrastructure OpEx commitments that continue to grow “ Datacenter spend is a large, growing and very inefficient portion of the total IT budget in many technology intensive industries…..”

3. DataSynapse Value Proposition Reference Customers Low Infrastructure Utilization High Infrastructure Growth Rates Rising IT Infrastructure Costs Delayed Application Roll-Out Sub-optimal App Performance Common Challenges 60-80 % Higher Utilization 20-40% Lower Growth Rates 10-20% IT Cost Reductions 90%+ Faster Time to Deploy 100% Applications Meeting SLAS DataSynapse Value Common Use Cases DataSynapse Platform Cloud Computing Virtualization Management IT Consolidation and Standardization Self Service App Infrastructure Grid Computing Shared Infrastructure Services Resource Pooling Virtualization Grid computing Public Cloud Integration Application Mgmt. Services Resource brokering Automated deployment SLA Management Self-Service Application Packaging Services Standard packaging and deployment Application Repository Application Meta Data Financial Services Global Telecom Government Manufacturing Documented Results DART Business Value Methodology Validated by

4. GridServer Service execution platform that dynamically scales enterprise services based on performance and business requirements

5. Typical GridServer Customer Example Customer Profile Capital markets division of a global financial services organization Selling more diverse products: structured debt products, CDOs, mortgage backed securities, complex derivatives Business Problem: Product diversity has driven the amount of risk processing required Business has no CapEx for thousands of new servers required to get risk results to bankers in a reasonable timeframe Before GridServer Executing 1000 risk calculations per day Average risk calculation takes 2 – 12 hours No real-time risk data available After GridServer Executing 10K+ risk calculations per day Average risk calculations 10-20 minutes Business now has real-time risk view Benefits Order of magnitude improvements time to results – on the same (or less) hardware

6. So is Grid Computing a universal solution? Really only applicable to a subset of enterprise applications – those applications where the processing of information is easily parallelized Customers started to ask us? Can I run my standard Web apps on the Grid Can I run my packaged apps on the Grid? Can I run legacy apps on the Grid?

7. FabricServer - Basics FabricServer Package Once FabricServer provides tools and templates required to build self-contained, runnable packages of applications and platforms Tools Self-Contained Packages Configuration Information Platforms Packaged Legacy FabricServer Run Anywhere FabricServer manages those packages and can activate on any runtime environment (physical, virtual, cloud) Clouds Virtual Physical Automated Deployment Service Repository Run-Time Broker Policy Engine Manage Runtime FabricServer allows production support teams to create policies for how applications will be managed at run time Closed Loop Policy-Based Allocation of Infrastructure

8. Bringing Cloud Computing In-House Automated deployment and provisioning Self-service access for developers Component / application catalogue Policy engine for defining business rules Run-time broker for workload management Shared pools of infrastructure Run-time optimization, auto-scale up/down Deep support for virtualization, Integration of public clouds Shared Infrastructure Self-Service Portal Physical Virtual Clouds Service Repository Run-Time Broker Policy Engine

9. Platform as a Service (PAAS) Application Infrastructure (e.g. your app platform) Bare Metal Server App Specific Configuration Application Code Operating System SAAS Software as a Service PAAS Platform as a Service IAAS Infrastructure as a Service Users access service running on the cloud Users don’t manage or control any or application capabilities Users access service to build and deploy applications on the cloud Users don’t manage infrastructure, but do control application hosting configurations Users access service to provision processing, storage, networks, and other fundamental computing resources Users don’t does manage or control the underlying cloud infrastructure but can configure operating systems, storage, and possibly networking components (e.g., firewalls, load balancers). Your Application Stack Hypervisor (VM) Much of the technology and investments for internal IAAS already in place : Virtualization and virtualization management Bare metal provisioning Systems management software Enterprise IT is already building web apps IAAS SAAS The same enterprise application stacks you already run Auto provisioned, on-demand for use by business application developers PAAS

10. FabricServer Key Features of FabricServer: The first and only platform for packaging, deploying and managing true enterprise applications (e.g., distributed, complex, multi-tier) on physical, virtual or cloud-based datacenter environments: Multi-Component Application Management Self-Service Ready for Virtualized & Private Clouds Extensible Policy Engine Deploy complex enterprise applications via the Web Snapshot running systems for automated re-purposing Package complex, distributed multi-tier applications Repurpose Applications easily on any environment Build business rules to manage deployment and run-time of complex apps Integrate 3 rd party datacenter technology (DCA /VMware)

11. DataSynapse Overview