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DataSynapse OverviewDataSynapse Overview

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Enterprise IT Problem DomainReducing Datacenter Costs & Improving IT Operations

Business Drivers

“Datacenter spend is a large, growing and very inefficient portion of the total IT budget in many technology intensive industries…..”

Poor demand & capacity planning across functions

Senior management holding CIOs accountable for operational efficiency

6% server utilization, 56% facility utilization

Current StateInfrastructure 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 PerformanceApplications that don’t consistently meet to SLAs

IT Costs CapEx budgets can’t satisfy demand for infrastructure OpEx commitments that continue to grow

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DataSynapse Value PropositionReferenceCustomers

Low InfrastructureUtilization

High InfrastructureGrowth Rates

Rising IT InfrastructureCosts

Delayed ApplicationRoll-Out

Sub-optimalApp Performance

Common Challenges

60-80 % Higher Utilization

20-40% Lower Growth Rates

10-20% IT Cost Reductions

90%+ FasterTime to Deploy

100% Applications Meeting SLAS

DataSynapse ValueCommon Use CasesDataSynapse Platform

Cloud Computing

VirtualizationManagement

IT Consolidation andStandardization

Self ServiceApp Infrastructure

Grid Computing

Shared InfrastructureServices

• Resource Pooling• Virtualization• Grid computing• Public Cloud Integration

Application Mgmt. Services

• Resource brokering• Automated deployment• SLA Management• Self-Service

Application PackagingServices

• Standard packaging and deployment

• Application Repository• Application Meta Data

FinancialServices

Global Telecom

Government

Manufacturing

DocumentedResults

DART BusinessValue Methodology

Validated by

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GridServer

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

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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

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So is Grid Computing a universal solution?

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?

Really only applicable to a subset of enterprise applications – those applications where the processing of information is easily parallelized

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FabricServer - Basics

FabricServer

Package OncePackage Once

FabricServer provides tools and templates required to build

self-contained, runnable packages of applications and platforms

Platforms Packaged Legacy

Tools

Self-ContainedPackages

ConfigurationInformation

FabricServer

Run AnywhereRun Anywhere

FabricServer manages those packages and can activate on any runtime environment (physical,

virtual, cloud)

CloudsVirtualPhysical

Automated Deployment

ServiceRepository

Run-TimeBroker

PolicyEngine

Manage RuntimeManage Runtime

FabricServer allows production support teams to create policies

for how applications will be managed at run time

CloudsVirtualPhysical CloudsVirtualPhysical

FabricServerService

Repository

Run-TimeBroker

PolicyEngine

FabricServerService

Repository

Run-TimeBroker

PolicyEngine

Closed Loop Policy-Based

Allocationof Infrastructure

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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

Self-Service Portal

Physical Virtual Clouds

Shared Infrastructure

ServiceRepository

Run-TimeBroker

PolicyEngine

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ApplicationInfrastructure

(e.g. your app platform)

Bare Metal Server

App SpecificConfiguration

Application Code

Operating System

Hypervisor (VM)

Platform as a Service (PAAS)

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

App

licati

on S

tack

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 developersPAAS

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FabricServerFabricServer

Key Features of 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 3rd party datacenter technology(DCA /VMware)

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DataSynapse OverviewDataSynapse Overview