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Data C t D t Center Transformation

Jason Warner Data Center Consulting Systems Engineer CCIE 17064

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WW Headcount 66,000 employees* y 35% Engineering 27% Sales 38% all others 128+ Acquisitions 51 d t centers & data t server rooms 1500+ labs (500+ in San Jose)

WW Portfolio: 18. 9 million sf

(60% owned, 40% l d leased) d)

283 metros in 90 countries 444 buildings g Over $5B in Assets 20,000 Channel , Partners 110+ ASPs 210+ Business & Support Development Partners

Over 180,000 people around the world in the O 180 000 l d th ld i th extended Cisco family

End of Q2 FY08 * Persons Housed (excluding SA, Webex, & Ironport)

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Cisco Data Centers Jeopardize Growth

· 51 Data Centers · 150 Megawatts of Power

Current Constraints

· Services responsible for Cisco revenue are impacted · Business Continuance · Green technologies not built into older DC designs

Time Factors

· DC Construction requires 2 - 3 years · Application provisioning and data migration may add 1 - 2 years, or 3 ­ 5 years total

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Opportunity to Drive "The Business" The Business

Data Center Architecture

IT Architecture

WAN Optimization Data Center Provisioning

Critical Systems Resiliency Tracks

IT Operations

Application Enterprise Architecture Application Dependency Mapping Common Management Database

Agility and Resiliency

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PDC Site Selection Strategy

Must-haves

· U.S. or Canada · Negligible environmental risk (e.g. earthquake, hurricane, tornadoes, etc.) · Fiber service · At least 2 long distance providers

Additional criteria dd t o a c te a

· Electrical power cost and long-term price stability · Other costs: real estate, labor, taxes & government incentives · Proximity to existing Cisco IT operations y g · Accessibility to customers · Availability of technical labor · Regulatory environment Cisco Confidential © 2008 Cisco Systems, Inc. All rights reserved.

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Site Selection after Environmental Hazards

States of AK, HI & PR not considered

Earthquake PGA <= 16%g 420 Metropolitan areas eligible Tornado frequency <= q y 10 per 1000 sq miles Hurricane impact of 0 or > y y every 4 years

Note: Refer to Environmental Hazards & LD Carrier Fiber Maps section

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Site Selection after Long Distance Carrier & Fiber availability

Environmental hazards criteria Availability of 2 or more carriers other than the local RBOC carrier*

105 Metropolitan areas eligible

*Every metropolitan area has a local RBOC carrier and was not included in the Site Selection model Refer to Environmental Hazards & LD Carrier Fiber Map section

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Site Selection after electricity price analysis

Environmental hazards criteria LD Carrier & Fiber availability data y

89 Metropolitan areas eligible

Electricity price* index <= 1.25. March 2005 a g a c 005 avg. Electricity price was 5.16 cent per KWH in USA

Note: * Electricity prices are Industrial March 2005 rates from Dept. Of Energy (http://www.eia.doe.gov//fuelelectric.html ). Electricity prices are at state level and regional difference may exist. Further prices may vary based on long term contracts 8

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Site Selection after construction costs analysis

Environmental hazards criteria LD Carrier & Fiber availability data y Electricity prices

38 Metropolitan areas eligible

Labor availability Construction cost index <= 1.05

Minneapolis eliminated

Note: * Metro Construction Cost Index data from Means CostWorks Square Foot Model Costs 2005 CD-ROM, 7th Edition (http://www.rsmeans.com/bookstore/detail.asp?sku=65055 ). 9

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PDC Site Selection Strategy From 420 Metro Areas Down to 8, Then 1

Tornado Earthquakes Hurricanes

Fiber

Must-haves:

U.S. or Canada N li ibl environmental Negligible i t l risk (e.g. earthquake, hurricane, tornadoes, etc.) Fiber service At least 2 long distance providers

Additional Criteria:

Electrical power cost; long-term price stability g p y Other costs: real estate, labor, taxes, govt incentives Proximity to existing Cisco IT operations Close to customers A il bilit of technical labor Availability f t h i l l b Regulatory environment

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The Winner! - Richardson

Tipping Points pp g

Leverage Capital investment Accelerate Data Center Business value by 12 months y Cisco Community and Campus Multiple land options at optimal distances at right size Fiber Infrastructure Skilled IT resources

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Data Center Tiers

As defined by the Uptime Institute

Tier

Components Delivery Paths Single Points of Failure Concurrently Maintainable Site Availability/Annual Downtime*

I

Need only (N) One only Yes No 99.671% 28.8 hours

II

N+1 One only Yes Components only 99.749% 22.0 hours Existing DCs

III

N+1 One active One passive Yes Yes 99.982% 1.6 hours

IV

2 (N+1) Two active No Yes 99.995% 0.4 hours

New Cisco DCs

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Production Services Oriented Data Center

Purpose: Meet Cisco current and future plans within scope of GDCS for Production Data Centers. Power and space: Cisco's largest Production data center; ~29,000 sq ft raised floor area ; power capacity of dual redundant 10 MW utility feeds. Devices: Space for ~750 server racks; Use: Hosting Cisco's primary production applications in a Tier III / IV data center. center Current state: Production Ready, service migration in process with first client operational 08/2008.

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Services Oriented Data Center

Overview

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SODC Design Phases

Consolidate

Optimize Data Center Resources Increase Resource Utilization

Virtualize

Virtual Resource Pools Increase Availability and Agility

Automate

Adaptive Orchestration Rapid Delivery of Services

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... Data Center Evolution

Legacy Data Center Consolidated Data Center

· Standardization · Virtual Machines · SANs, VSANs · Ti Tiered Storage d St · Consolidated Network Services

Virtual Data Center

· Server Orchestration · VM Mobility · Storage Virtualization · Unified Network Services FCoE · Policy Based y Security · WAAS ACE

Service Oriented Data Center

· Infrastructure Aligned to Application Services · Policy Based Management · Unified I/O · Tiered Recovery and SLA· Usage a d S based Funding Model · Cloud Based Apps & Services

Compute Storage Network Security

· · · ·

4 Tier Silos Heterogeneous OS Storage Silos Low Utilization

· IP Connectivity

· Perimeter Security · Secure Each Application Tier · Consolidate, Centralize

Application · Application Silos

· Distributed

2004

2005

2006 - 2009

Virtualization Phase

2010 - 2013

Consolidation Phase

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Automation Phase

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Services Oriented Data Center Technologies

Servers

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Cisco Data Center Server Landscape

Servers

Heterogeneous - x86 growth! Linux focus boosted by VMs

Introduced VMware

Apps/Databases

~13K server instances registered i EMAN (CMDB i t d in equiv) 1263 DB's (279 prod); 3802 apps

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SODC Server Virtualization

Data Center Server Consolidation Improve Operational Agility Lower Data Center Operating Expense

Increase Utilization of Physical Servers

Optimize TCO Improve Data Center Capacity Management Reduce Service Provisioning Times Rapid deployment of Operational Services Increase Operational Efficiencies Zero down time Operations

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SODC Server Virtualization Architecture

Legacy

Data Center Aggregation Block Network Services Block Catalyst 6509

Catalyst 6509

SAN B SAN A

Catalyst 4948

Ethernet Fiber Ch Fib Channel l Server OOB Mgmt.

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Consolidation of Network Fabrics

Phase 1

Data Center Aggregation Block Network Services Block

SAN A

Nexus 7000

Catalyst 6509

SAN B

SAN Aggregation

Consolidated transports

Nexus 5000

Ethernet Fiber Ch Fib Channel l Server OOB Mgmt.

10 GbE Server Access

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Benefits

Services Delivered Under 3 Days Improved I d Availability

Improved Agility and Integrated Business Continuance

3,300 Total Virtual Machines Today

Over $20.4 M in $ Savings And Cost Reduction To Date

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Services Oriented Data Center Technologies

Storage

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Cisco Data Center Storage Landscape

Over 12 PB of "raw" storage Overall Growth Rate: FY'02=69%, FY'03=32%, FY'04=50%, FY'05=58%, FY'06=29%, FY'07=52%, FY'08=51%

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SODC Storage Architecture consolidation

Cisco IP Network NAS Cisco IP Network NAS Cisco IP Network

Tier 1 Tier 2 SAN SAN

"Physical" Cisco Business Functions

Tier 3 SAN

"Logical" Cisco Business Functions *Multiple Datacenters (campus/metro)

Timeline

2001

2002

2003

Phase 2: Predicted to take 18­24 months g Planned to begin in 2002 Start delayed for 12 months

2004

Phase 3: Predicted to take 12­18 months Originally planned to begin in 2004

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Phase 1: Originally scheduled y (2001) ) for 1 year (

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SODC Storage Architecture consolidation

Cisco IP LAN

IP WAN

Cisco IP LAN

FCIP

FCIP

FC Fabric

Cisco IP Storage Switching Module

FC Fabric

NAS Gateways Multiple Datacenters (Campus/Metro/Global) Timeline

2004

Phase 4: Originally scheduled to g y begin in 2005

2007

Phase 5: Predicted to take 12--18 12 18 months (2005-2007).

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SODC

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SODC Storage Results

Managed storage per FTE increased from 25 TB to 1,100 Terabytes over p y past 6 years y Total Cost of Ownership reduced from .21/MB to .01/MB p over past 6 years O Overall utilization increased from 20% to 72% over past ll tili ti i df t t 6 years $71 Million in cost avoidance over past 4 fiscal years ($9M in FY04, $14M in FY05, $27M in FY06, $21M in FY07)

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Services Oriented Data Center Technologies

Data Center HA Network

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Data Center Operational Choices

Centr ralized Serv vices Distr ributed Serv vices

Active-Standby y

Same as today Doesn't work well today Only critical apps Idle hardware Different configuration in both DCs Min infra complexity Med apps complexity

Active-Active-Hybrid y

Similar to other customers solutions Majority of apps Identical configuration in both DCs Not specific to vendor Best Cisco on Cisco Med infra complexity Min apps complexity y

Active-Active

Used by financial institutions (E.g. metro

clusters, multi-master clusters multi master data)

Majority of apps Vendor specific High infra complexity High apps complexity

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Cisco IT Active/Active-Hybrid Data Center

www.cisco.com Non Cisco DNS Service GSS

External User Network · Using DNS, users are directed to GSS · GSS load balances users across both DC #1 & #2

DC 1

GSS EMAN GSS

DC 2

ACE

ACE

Normal operations · Web and app server are processing requests in both DCs ·Transaction logs are applied to remote DB Failure Scenario · Last transaction logs applied · Apps DB connection timeout and reconnect ti t d t · No runtime apps changes required

Web Server · ACE selects the optimal server to p forward request between DC servers Note: Production infrastructure (network, hosts, infra software) configuration is identical in both DCs

(Load Balanced)

Web Server

(Load Balanced)

Active

Active

App Server

(Load Balanced)

App Server

(Load Balanced)

Active Database Server

(Local Cluster)

Active Database Server Database Server

(Local Cluster) (Local Cluster)

Active / Standby Storage

Replication Sync Async

Active //Standby Active Active Storage

Note: In the physical implementation active DBs will be distribution across both DCs

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Symmetric Acceleration

Based on the Wide Area Application Services (WAAS) technology Enabler for NAS Consolidation WAN savings

Experienced 40-60% savings (volume) in lab PoC Capacity plan impact: from 68kbps (20 kbps for apps) to 60 kbps (12 kbps for apps)

Core WAE PDC PDC Server Edge

Core

SJC

RTP

WCCP

Storage g Consolidation

Internal WAN WCCP Central Manager E.g. New York <etc> Edge WAE

Acceleration for Emerging Markets Architecture

Core (or "Server Edge") and Edge (or "Client Edge") Transparent at Layer3-4 (WCCP) Inter-DC traffic not in initial wave

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Tier3 Sites (FSO and WAN hub)

Client Edge

Edge

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Acceleration Metrics

Transaction Time (Normalized)

2X faster

2.5X faster

15X faster 15X faster * http application transactions Exchange Attachment Download Livelink document download ** CIFS Download Document

Before WAAS After WAAS - Initial After WAAS - Subsequent

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Note: ANS Test Environment: 256Kbps BW and 150ms latency 3MB PowerPoint file used in document downloads * Note: Benefit is variable depending on transaction characteristics ** Note: Validated at Moscow and Sao Paulo POC sites

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ANS Acceleration Findings

Observation

Varies greatly by protocol, application & network capacity / delay

D t P i t (b Data Points (based on a subset of t h l i ) d b t f technologies)

Remote users: typically 1.5 to 20x faster for unencrypted apps HTTP: 2.5 to 10x faster Outlook/Exchange: 1.5 to 2x faster (small RPC/MAPI buffer size) CIFS over the WAN: 1.5 to 20x faster HTTPS: no da a (limited acceleration today us g AVS, more with WAAS + S o data ( ed acce e a o oday using S, o e S Distributed Reverse Proxy in future) Nearby users: 1.0 to 2.5x faster

Productivity Impact

Assume 20 HTTP pages / user / day at 30 seconds each = 10 mins

Key Messages

Absolute "wait time" can be excessive in EM (30-90 seconds for 1 HTTP page not a seldom exception) The worse the performance caused by WAN, the better the acceleration

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Additional IT Resources

Part of Cisco IT mission is to help make you, our customers, successful We allow this through a series of Case Studies and g White Papers available on Cisco.com ­ CISCO [email protected] URL: www.cisco.com/go/ciscoitatwork

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