Bringing the private cloud to the data center
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Bringing the Private Cloud to the Data Center. Matt Eastwood Group Vice President Enterprise Platforms Research. September 2010. IT in the Cloud is a Journey…. The Market Has Been Cloud Washed… What’s Next?. Enjoy the Ride. Cloud Computing Defined.

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Bringing the private cloud to the data center

Bringing the Private Cloud to the Data Center

Matt Eastwood

Group Vice President

Enterprise Platforms Research

September 2010


Bringing the private cloud to the data center

IT in the Cloud is a Journey…

The Market Has Been

Cloud Washed…

What’s Next?

Enjoy the Ride


Bringing the private cloud to the data center

Cloud Computing Defined

  • Cloud Computing – consumer and business products, services and solutions delivered in real-time over the Internet including:

    • Standard shared service (built for a market, not a single customer)

    • Solution-packaged(“turnkey” integrating appropriate resources)

    • Self-service

    • Elastic scaling(dynamic and fine-grained)

    • Service Metering (use-based pricing)

    • Ubiquitous Network Access (accessible via the Internet)

    • Browser Based(standard UI technologies)

    • Published API (common Internet APIs)

Deployment Models

Public:

Open to a largely unrestricted universe of potential users; designed for a market, not a single enterprise

Private:

Designed for, and access restricted to, a single enterprise (or extended enterprise); an internal shared resource, not a commercial offering; IT Org is the “vendor” of the shared/std service to its users


Bringing the private cloud to the data center

Cloud Adoption: Evolutionary vs. Revolutionary

Traditional Datacenter

Private

Cloud

Public

Cloud

xSPs

Dynamic IT

Elastic

Scaling

New

Migration

‘Custom’

New

‘Bursting’

Existing

A Look Back to 2005

Public

Cloud

Private

Cloud

Dynamic IT

xSPs


Bringing the private cloud to the data center

Agenda

Market Trends

Attitudes Towards 'The Cloud'

Cloud and Convergence

Essential Guidance


Bringing the private cloud to the data center

A more balanced view of end-user business goals is returning to market

With virtualization, focus has been on cutting costs

Customers are again beginning to look for additional business benefits from IT

Technology will clearly play an important role in future business initiatives

The “New Normal”Shifting Business Goals Impact Technology Goals

Q.Prioritize the following business goals as they relate to your organization by allocating 100 points among them.

NC

+4

+3

+6

+3

-16

Source: IDC Enterprise Platforms Surveys


Worldwide server market 1996 2010

Worldwide Server Market, 1996-2010

-30%

-27%

+8%

+23%

Revenue (%)

-$20B

-$17B

+$5.5B

+$11B

‘97-’08

Change

14%

Other Servers

45%

31%

-31 Pts

Unix Servers

32%

-1 Pts

55%

x86 Servers

+22 Pts

23%

Source: IDC Quarterly Server Tracker, Q4 2009


Bringing the private cloud to the data center

WW x86 Server Shipment Forecast:x86 Servers Continue to Accelerating

YOY Shipment Growth

4Q Rolling Shipments

Q309 Q410

+1M Units

+16%

15%

100%

45%

Q308 Q309

-1.7M

-21%

85%

Server Deployments are Increasing Rapidly on Refresh

Source: IDC Quarterly Server Forecast. June 2010


Bringing the private cloud to the data center

The Technology Catalyst:

WW Growth 2009-2013

Efficiency

Complexity

Elastic Scaling

Off Premise

12.4x

8.4x

4.7x

2.7x

2.5x

2.3x

1.3x

Servers

(M)

Blades

(M)

Cores

(M)

VMs

(M)

Data

(TBs)

Transactions

10G

Ports


Server installed base the evolution from physical to virtual

Server Installed Base: The Evolution From Physical to Virtual

’09-’13

CAGR

Servers

WW Virtual

Server IB

31.5%

WW Server IB

0.6%

6.5%

WW Server Shipments

Virtualization Leaves its Mark and Primes the Market for Change

Source: IDC Server Virtualization 2009


Virtualization is the foundational platform for the datacenter

Virtualization is the Foundational Platform for the Datacenter

WW Installed Workloads Virtualized

  • More than half of all workloads (51%) will be virtualized by the end of 2010

  • Two-thirds (69%) by 2013

  • Only 12.8% of all physical servers are virtualized in 2009

  • VM densities continue to rise predictably

  • Averaging 6 VM’s per physical server in 2009 and 8.5 in 2013

2.1% Servers

12.8% Servers

22.3% Servers


Bringing the private cloud to the data center

1.4M VMs

15M VMs

8.2

VM Cross Over

7.7

7.1

6.1

5.3

4.2

3.3

3.0

WW Server Virtualization Shipment Forecast, 2005-2013

2012

2005

2006

2007

2008

2009

2010

2011

2013

21.6%

Shipments

5%

Shipments


Bringing the private cloud to the data center

New Economic Model for the Datacenter Shifts to Automation Tools are a Requirement

WW Spending on Servers, Power and Cooling, and Management/Administration

Customer Spending ($B)

56 million virtual machines by 2012

Virtualization Management Gap


Bringing the private cloud to the data center

Virtualization is Foundation for Cloud

Consolidate

Automate

Provision

Cloud

Virtualize

10%

20%

Self Provision

90%

Metering &

Chargeback

Metering &

Chargeback

18%

Mobility

Mobility

Mobility

Hypervisor

Hypervisor

Hypervisor

Hypervisor

45% Sites

18% Market

20% of Virt.

Sites

90% of Virt.

Sites

10% of Virt.

Sites

Cloud

Internal vs. External

Source: IDC Server Virtualization 2009


Bringing the private cloud to the data center

IT Optimization by the Numbers: Houston We Have a Problem

Server

HW

RE

Support

P&C

System

SW

Staff

Q. What were the top three areas of savings? (N=400)

% of Responses

% of Annual Spend

-5%

-8%

+17%

-15%

-9%

+20%

Costs Drop 25% but 80/20 Rule Still Applies

Source: IDC Server Virtualization 2009


Bringing the private cloud to the data center

Who’s Embracing the Cloud

Q. Rate utilization of public cloud over next 3 years (1-10 Scale)?

  • Cloud is divisive concept with SMB and mature virtualization site favoring

  • SMB’s consuming SaaS applications

  • Startups and enterprises with large scale Web infrastructures

  • Enterprise developers with one-off projects

  • Compute intensive tasks

Total

<500 Employees

500-4,999

5,000+

<15%

15-<50%

>50% Virtualized

Source: IDC Enterprise Platforms Survey, Jan 2010 (N=255)


Bringing the private cloud to the data center

Workloads in the Cloud

Q. Which applications will you run in Cloud in 3 years:

Bus. Processing

32%

  • Workloads remain the critical pivot point in the datacenter

  • Virtualization is hot and it impacts cloud adoption profiles

  • Users with high rates of business change favor cloud models

DSS

18%

VOIP

16%

Private

IT Infra

13%

App. Dev.

14%

Tech.

8%

Collaboration

31%

Agnostic

email

41%

Web Infra

21%

Source: IDC Enterprise Platforms Survey, Jan 2010 (N=255)


Server workloads topology

Server Workloads Topology

18 Workloads in 7 Workload Categories

Web Infrastructure

Business Processing

Web Infrastructure

  • Streaming Media

  • Web Serving

    App. Development

    IT Infrastructure

  • File & Print

  • Networking

  • Proxy/Caching

  • Security

  • Systems Management

    Industrial R&D

Business Processing

  • ERP

  • CRM

  • OLTP

  • Batch

    Collaborative

  • E-Mail

  • Workgroup

    Decision Support

  • Data Warehousing/Mart

  • Data Analysis/Mining

App. Development

IT Infrastructure

Collaborative

Decision Support

Technical

Source: IDC Server Workloads 2009


Three layers of cloud computing

Three layers of cloud computing

Workloads

Platforms

ERP

email

CRM

OLTP

Collaborative

Decision Support

Web

App. Dev.

Streaming

Security

Caching

Networking

File

Sys Mgmt

Technical

Network

Storage

Storage

Network

Server

IT Cloud Services

Cloud Applications

Software as a Service (SaaS)

Cloud Platform

Platform as a Service (PaaS)

Cloud Infrastructure

Infrastructure Services (IaaS)


Actual mileage may vary migration starting point

Actual Mileage May Vary: Migration Starting Point

39%

41%

$14.0B

$17.6B

PaaS

SaaS

22%

$13.3B

IaaS

$16

$44.9 Billion

Data Analysis

email

Data Mining

Collaborative

Streaming

ERP

Web

CRM

App. Dev.

OLTP

Technical

Caching

Sys Mgmt

Security

Networking

File Serving

Source: IDC Server Virtualization 2009


Cloud implementation help

Cloud Implementation Help

Q.Who will help build out your private cloud?

  • Larger companies and leaders favor internal IT

  • Smaller orgs and laggards favor server vendors

  • Virtualization vendors are broadly favored

  • Those planning private clouds are most likely to favor Internal IT

Source: IDC Enterprise Platforms Survey, Jan 2010 (N=255)


Cloud leadership

Cloud Leadership

Q. Who is the leading vendor?

  • Comparing mature and understood (virt) with unknown (cloud)

  • The evolution to private cloud will be led by traditional IT

  • Traditional IT suppliers lag in Public cloud

  • Larger orgs name IBM

  • SMB favors Google, Amazon and Salesforce

50%

45%

55%

Source: IDC Enterprise Platforms Survey, Jan 2010 (N=255)


Attitudes towards convergence

Attitudes Towards Convergence

Q. Most appeal w/ convergence?

  • End-users rate likelihood of converged adoption at 3.6 of a 10 scale

  • The sever will be the focal point for IT convergence

  • Larger companies, leaders and leading virtualization adopters favor most

  • Service providers more likely to favor network led convergence

3.3

3.9

3.6

Source: IDC Enterprise Platforms Survey, Jan 2010 (N=255)


New business cycle for it convergence reigns for the next 10 years

Lower Cost of Computing Per Unit of Work

New Business Cycle for ITConvergence Reigns for the next 10 years

Transactional applications and Database

ERP, Analytics and Datamarts

Integrated architecture

Converged Infrastructure & Private Clouds

Integrated architecture

Mainframe/minicomputer

Integrated architecture

Web

Virtualization

Business Value

Collaborative

Unix/RISC

Application Development

Modular architecture

Modulararchitecture

X86 Servers

Virtualization

Public

Clouds

Modular architecture

File/Print and Networking

Microservers?

Compute/Memory Boards?

2000

2005

2010

2015

1985

1990

1995


Intersection technology offerings

Intersection Technology Offerings

Traditional IT

Hosting

Outsourcing

Public Cloud

Private Cloud

Traditional Servers

Converged Infrastructure

Micro Servers

Homogeneous Infrastructure:

multi-node computing design including processor, memory, network, storage, P&C in a single chassis

Heterogeneous Infrastructure:

Server, storage and network resource pools assigned as needed to business services


Market segments continue to shift understanding the impact of cloud

Market Segments Continue to Shift:Understanding the Impact of Cloud

Units

% Server Spend

Traditional IT

  • Traditional IT

    • Heterogeneous

    • Legacy & Proprietary

  • Private Cloud

    • Bladed and Virtualized

    • Consolidation Play

    • Existing Workloads

  • Public Cloud

    • Homogeneous

    • Dense/Low Cost

    • New Workloads

Private Cloud

93%

70%

81%

Public Cloud

20%

17%

6%

10%

2%

1%


Cloud and convergence 2013 the whole is smaller than the parts

Cloud and Convergence, 2013The Whole is Smaller than the Parts

Streaming

Security

eMail

Web

$10B

$11B

File&Print

Caching

Workgroup

Networking

2013Mkt

Not $144B

But $123B

CAGR (10-13 )

Not 3.2%

But -2.0%

Storage Systems

$32 Billion

Networking Equipment

$62 Billion

Server Hardware

$50 Billion


Cloud and convergence 2013 a view of a bifurcating server market

Cloud and Convergence, 2013 A View of a Bifurcating Server Market

$52B: Bifurcation

Small

Site

19%

Non x86

38%

Scale-out

9%

Datacenter

34%


An alternative view or is it workload optimization

An Alternative View (or is it)Workload Optimization

$52B: Optimization

BA

12%

OLTP/DB

15%

BI

12%

Infrastructure

61%


Essential guidance

Essential Guidance

  • CIOs pay attention to time, money and people

  • Downturns drive inflections and change on recovery

  • Workloads are the critical pivot point for cloud and convergence decisions

  • Many political barriers remain in the DC

  • User demographics change constantly


Questions

Questions

Matt Eastwood

[email protected]

Twitter: matteastwood

+1 (508) 935-4503


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