cloud and utility computing

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1 Cloud Computing For the Corporate Data Center

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Page 1: Cloud and Utility Computing

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Cloud Computing For the Corporate Data Center

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The Dalles, Oregon

Internet Companies: An Arms Race

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Is this the end of Corporate Computing

So why doesn’t company X tear down their data centers and move everything to Amazon cloud?

Security, integration with enterprise and proprietary systems, performance and control requirements will prohibit this from happening

Security, integration with enterprise and proprietary systems, performance and control requirements will prohibit this from happening

But can Company X learn from Google and Amazon? But can Company X learn from Google and Amazon?

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But what if …..

Services in the cloud that could be activated on demand … for an unlimited set of users

With great userexperience

All running on a cloud of commodity infrastructure, automated to respond to changing requirements and optimized for performance and costs.

…. You could operate like Google ?

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Modern Datacenters Build-Out:Standard Technologies – Poor Results

Standards in Datacenter

Yet Poor Economic Results

• Over provisioned

• Complex sprawl

• Inefficient operations

• Not agile

• Expensive

IT-Driven Business

Web Apps Everywhere

Big IT Budgets

Commodity X86 Machines

Migration to Linux

Cheap Energy

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Analyst View

“As grid deployments have matured and

become more integrated with other

activities, drivers for adoption have

evolved ….. cost control, revenue

generation, better utilization, support for

additional workloads and the ability to

more quickly respond to changing needs

are all benefits that can now be realized.

This is no longer a one-dimensional

world of performance improvement.”

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CC for the CDC Business Perspective

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Datacenter Spend

• Data center facilities spend is a large, quickly growing and very inefficient portion of the total IT budget in many technology intensive industries…..

Drivers

Poor demand and capacity planning within

and across functions

Significant failings in asset management (6% average

server utilization, 56% facility utilization)

Boards, CEOs, and CFOs are not holding CIOs

accountable for critical data center facilities and

operational efficiency

Source: McKinsey

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Constrained by Inefficiency – Impacts Profitability

Page 10: Cloud and Utility Computing

Network

Computeand

Storage

VM VM VM VM VM VM VM VM

DynamicApplication

ServiceManagement

Packaging

Provisioning

Activation Management

Developers

ToolsToolsTools

CLOUD

Customers

LOCAL

On-DemandOn-Demand

Middleware As A Service

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Cost Reduction

Key DASM Features Cost Reduction Benefits

Dynamically allocate infrastructure according to business policies

• Lower infrastructure cost

• Buy only what you need

Automated configuration and packaging for market-leading applications and platforms

• Lower app dev costs

Standardized, re-usable approach to dynamic application assembly and provisioning

• Eliminate waste and human errors

Integrated reporting on application service levels, costs and infrastructure utilization

• Visualize infrastructure and cost models

Lifecycle methodology for identifying, prioritizing and realizing business value (DART)

• Prioritize cost cutting opportunities

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Utilization

Key DASM Features Utilization Benefits

Standardized packaging and provisioning of virtualized applications

• Transportable across infrastructure

Policy-driven virtual application service level management

• Automated

• Dynamic

Platform that reports on application cost, utilization & performance across shared infrastructure

• Visibility

New technologies integrate with existing investment (servers / apps / networks / storage)

• Works with what you have

Leverages investments in virtualization (servers / apps / networks / storage)

• VMware or Physical

• X86 or non

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To control utilization How do you define and enforce business service levels for critical applications?

To speed deploymentHow do you standardize and automate application packaging and configuration?

To maximize response time How do you provision applications on demand?

To minimize growth ratesHow do you optimize application performance based on changing demand in real time?

To monitor infrastructure costs

How do you meter and chargeback shared application services based on SLA?

Given current design and architecture:

Questions for the Data Center ….

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