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DataSynapse Overview
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…..”
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 ,[object Object],[object Object],[object Object],[object Object],Application Mgmt.  Services ,[object Object],[object Object],[object Object],[object Object],Application Packaging Services ,[object Object],[object Object],[object Object],Financial Services Global Telecom Government Manufacturing Documented Results DART Business Value Methodology Validated by
GridServer ,[object Object]
Typical GridServer Customer Example ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
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?
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
Bringing Cloud Computing In-House ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Shared Infrastructure  Self-Service Portal Physical  Virtual Clouds Service Repository Run-Time Broker Policy Engine
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 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Your Application Stack Hypervisor (VM) ,[object Object],[object Object],[object Object],[object Object],Enterprise IT is already building web apps  IAAS SAAS ,[object Object],[object Object],PAAS
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 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
DataSynapse Overview

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Dssc Intro

  • 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.
  • 4.
  • 5.
  • 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.
  • 9.
  • 10.