Software.

Virtualization and Automation:How Dynamic Is your Data Center?

Stephen ElliotVP, BU StrategyVirtualization and Service Automation

April 27, 2010

Agenda and Objectives

Virtualization And Automation: How Dynamic Is Your Data Center?

CIO GoalsKey Capabilities and requirements for a dynamic data centerVirtualization: an enabling technologyAutomation: a means to an endUse case examples

> Pricing: to clients must be competitive VS benchmarks> Service Quality: Reliability, Business impact, Service

restoration> IT capabilities: build for competitive advantage, good is “good

enough” versus customization> Risk management: Understand security

requirements/entitlements, protect against accidental acts> Team/Organization: Right people and right partners

Could these metrics be your Scorecard?

40K servers, 50K MIPS, 20+ PB, Virtual and Physical

Dynamic Data Center Use Case

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CIO Challenges and Strategies

CA Confidential. Provided under non-disclosure.

4

BusinessService/Process

IT Infrastructure

Source: Gartner, Inc. “The Business Unit CIO's 2010 Agenda, 19 February 2010

R=265

First Generation IT and Tools Limit Business Outcomes

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BusinessService/Process

IT Infra-structure

Classic IT Infrastructure Mgmt –(Discovery, Monitoring, Backup/Recovery)

First Generation Server Automation (physical-centric)

First Generation Service Mgmt -(Service Support – Service Desk, CMDB)Service Management

Automation

Infrastructure Mgmt

Finding IT’s Business Value“In a recent Forrester survey only 15% of themselves aligned with the business. What that tells us is that IT-business alignment isn’t just a problem – it’s a plague.” IT leaders declared.

CA Confidential. Provided under non-disclosure.

Dynamic InfrastructureCommon Customer Challenges & Pains

Difficult to quickly react to changing business requests

Managing virtualization is time consuming and expensive

Reduce costs by increasing server utilization

Need visibility into Data Center Risk

•How does the “business” request IT services?•Are there manual steps in delivering IT service?•How are you measuring your service levels ?

•Can you easily move physical servers to VMs?•Are older servers still cost effective?•Do you have full visibility into the Data Center?

•Are resources being utilized effectively?•Can you provide capacity on demand?•Have you deployed a private cloud?

•Are you ready for an IT Risk Audit?•Do server configuration errors cause outages?•Do you know where & why configurations vary?

Defining Key Capabilities for a Dynamic Data Center

Source: NIST

Rapid Elasticity: Rapidly and elastically provision, automatically, to quickly scale out /rapidly released to quickly scale in

Measured as a Service: Automatically control and optimize resource use by leveraging a metering capability at a level of abstraction appropriate to the type of service (e.g. bandwidth, user accounts). Resource usage can be monitored, controlled, and reported providing transparency for both service provider and consumer.

Resource Pooling: Computing resources are pooled to serve multiple consumers using a multi-tenant model, with different physical and virtual resources dynamically assigned and reassigned according to consumer demand.

On-Demand Self-Service: Consumer can unilaterally provision automatically without human interaction

Broad Network Access: Available over network through standard mechanisms

Pay per useDemand management

Efficient use of assetsMatch business demand

Business alignmentAgilityEfficient use of labor

Standardized

Cloud Characteristics per NIST Benefits

A New Dynamic Data Center Model

Physical

Virtual

Deliver Services

Operate Cloud

Meter

Self-ServeSecure

Govern

Assure

Support

SaaSPaaSIaaS

Consume Services

ManageCloud

Getting Started on a Dynamic Data Center

Datacenter Automation

A dynamic data center can deliver cloud benefits...

End-to-End Monitoring

Virtualization Management

Identity Federation/Single Sign-On

Service Catalog/Self-Service

Cost/Consumption Transparency

Virtualization

… and more so as they are linked

Service Portfolio Management

Cloud-Like Benefits-Agility-Efficiency-Business alignment

Optimize operations; Contain costs

Business outcomes

Service Level Management

Consolidation • Automation • Optimization • Dynamic

Typical Virtualization Deployment..an Enabling Technology

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Where are you? Where do you want to be?

Dev andTest

LimitedProduction

ExtensiveProduction

EnterprisePlatform

Management “Tipping Points”

Physcial+Virtual management is a key requirement

Non-Virtualized

Physical-Only Environments/

Non-x86/Non-VMware

Physcial and Virtual Management Integration: End-to-End Management

3rd party VM ExtensibilityAPIs and UI plug-in architecture

to enable 3rdparty integration

Self Service Portal Service CatalogBilling/Chargeback

Provisioning Configuration Capacity Operations Performance Availability

Deeper Functional Requirements

Operate Cloud

Self-Serve

Pool

Orchestrate

Secure

Govern

Assure

Support• Decide build vs. outsource• Compliance and risk management• Agile development

• User access control• Federated identity mgmt• Account provision/deprovision

• Service Level Management • Performance/availability• Root cause, predictive analysis

• Change• Release• Incident, Problem

• Service catalog• Request management• Virtual resource reservation

• Virtual resource consumption• Asset management• Service accounting, showback

• Configuration policy automation• Dynamic infrastructure provision • Dynamic application deployment

• Virtual lifecycle mgmt• Virtual provision, config compliance• Virtual monitoring, root cause

Meter

Physical

Virtual

A Closed Loop Process To Drive An Automated ITIL Approach

DefineServices &Metrics

Monitor ServicePerformancein Real-Time

Automate PerformanceReporting

TakeProactiveAction

Capture Obligations &Performance Targets

Revise & Collaborate

- Contract Management- Lifecycle Management- Audit Trail- Maintenance- Global SLA Change

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Example: Service Catalog Integrated with Contract Management and Automation delivers SLA Assurance in Real-Time

Self service and Provisioninig: CA Labs on Demand

> 1,653 servers under automated management> 1,800 concurrent, active virtual machines> 2,183 individuals created reservations> 44,718 machine build/rebuilds since stats enabled

111,795 person/hours saved (physical build/rebuild)> >23,000 additional software pushes> 4,807 virtual machine provisions (since tracking began)> 4 Primary locations (Islandia, Hyderabad, Ditton Park, Melbourne)

"3 clicks, not 3 weeks” Self Service Provisioning Reduces Costs: CA LOD Example

> Lab consolidation — reduced lab locations by 19 Average 800 concurrent, active virtual machines >23,000 additional software pushes 48,807 virtual machine provisions

> Cost Savings $6.5M in labor savings to date Server utilization up 50% Increased server to admin ratio

by over 400%> Real estate savings

19 locations closed, 15,904 sq ft reduction $2.4 million projected 5 year savings 2,330 machines relocated, ~ 50% virtualized in Q4

> Automatic power-off between reservations 450 metric tons of carbon reduction

LoD Delivers Cost Containment/ReductionAutomation supports aggressive service growth

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Use Cases> Mission-Critical Virtualization

Turn sprawl into well-managed resource pool with performance, availability and security management of virtual resources unified across platforms

> Self-service Self-service polic driven provisioning for virtual test and development environments

> Datacenter Profiling Map infrastructure to apps and services, monitor consumption Identify candidates for automation, further virtualization

> Dynamic SLA Assurance SLA threshold-driven provision/deprovision

> Infrastructure as a Service Abstraction of virtualized infrastructure stack into dynamic run-time environment

> Dynamic Application Release Abstraction of virtualized composite application and infrastructure stack into

dynamic run-time environment> Process Automation

Run book automation across physical and virtual infrastructures

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Promises of a Dynamic Data Center

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Thank You

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