Managing Critical
Data Center
Infrastructure
Patrick McConaughy
Emerson Network Power
1
Emerson At-a-Glance 2010
$21 Billion in sales
2
Headquarters in
St. Louis, Mo.
NYSE: EMR
Diversified global
manufacturer
and technology provider
Approximately 127,700
employees worldwide
• Manufacturing and/or sales presence in more than 150 countries
• 240 manufacturing locations worldwide
• No. 117 on 2010 FORTUNE 500 list of America’s largest corporations
• Founded in 1890
2
2
Emerson Electric Co.; Proprietary Information
Do More
With Less...
Decrease
Costs
Deliver
ROI
Increase
Efficiencies
& Productivity
Be
Innovative
Businesses Are Challenged To...
Every Day
3
Plan
•
•
For Change
For Growth
Secure Your
Assets
•
•
•
The right access
The right time
The right resource
Manage Your Data
Center & Desktop
environments
•
Physical Hardware &
Software
• Virtual Environments
• Power
• Service Processors
Deploy new services
to the business
•
•
Infrastructure agility
allows IT to respond to
business needs
• Provide competitive
advantage
•
Monitor
For Efficiencies
& Cost control
To mitigate Risk
IT Professionals
Every Day
4
Plan
•
•
For Change
For Growth
Secure Your
Assets
•
•
•
The right access
The right time
The right resource
Manage Your
Environments
•
•
Deploy New
Services To The
Business
Physical Environments
Power consumption and • Infrastructure agility to
requirements
respond to business
needs
•
•
Monitor
For Efficiencies
& Cost control
To mitigate Risk
Facility Professionals
Every Day
5
The Data Center as the Core of the Business
IT and Physical Infrastructure was designed for
STATIC Application requirements
Data Center Infrastructure
Management Maturity
MONITOR AND
ACCESS
• How are my assets
operating?
• Am I getting real-time
notification of alarms
and alerts?
DATA CAPTURE
AND PLANNING
• What and where are
assets in the data
center?
• How do I extend
the life of the data
center?
• How are they
interconnected?
• How do I reduce
mean time to repair
(MTTR)?
• How do I get my
server back up and
running?
• Do we have space,
cooling and power to
meet future needs?
• Can I populate my
planning tools with
actual performance
data?
• How can I efficiently
commission
decommission?
Early Warning
(Reactive)
ANALYZE,
DIAGNOSE
Improved
Planning (Proactive)
• How do I synch
infrastructure with
virtualization
automation?
RECOMMEND AND
AUTOMATE
• How do I anticipate
potential failures and
automatically shift
compute
and physical load
to eliminate
downtime?
• How can I optimize
efficiency across my
data center?
• How are we doing
against SLAs?
Improved
Performance
Availability at Optimal
Performance
Customers need to evolve through levels of
maturity in DCIM
Managing the Data Center “Gap”
Companies lack cohesive management
strategy for data center infrastructure
Organizational Tension
Facilities
IT
• Powering the
Infrastructure
• Powering the
Business
• Energy Budget
• Energy Spend
• Space
Constraints
• Space
Requirements
9
Convergence!
10
Steps to Convergence
Insight
Data Center
Planning
Power
Manager
Control &
Manageability
• Document the location of
existing equipment
• Provide reports on assets and
capacities of the datacenter
• Ability to accurately measure
power usage
• Collect baseline data for
trending analysis
Plan
• Visual modeling of the data
center, racks, and individual IT
elements within a rack
• Dynamically monitoring of
heating, cooling and power
• Plan the deployment of new
equipment using multiple
scenarios
Manage
• Proactive monitoring and
reporting
• Improves change management
quality and lowers cost of
planning and documentation
• Proactive monitoring and
reporting
• Heterogeneous management of
power assets
• Single console access to rack
assets
• Heterogeneous management of
physical and virtual
environments
• Single, secure browser based
access
11
Gain Insight
Insight
Data Center
Planning
Power
Manager
Control &
Manageability
• Document the location of
existing equipment
• Provide reports on assets and
capacities of the datacenter
• Ability to accurately measure
power usage
• Collect baseline data for
trending analysis
Plan
• Visual modeling of the data
center, racks, and individual IT
elements within a rack
• Dynamically monitoring of
heating, cooling and power
• Plan the deployment of new
equipment using multiple
scenarios
Manage
• Proactive monitoring and
reporting
• Improves change management
quality and lowers cost of
planning and documentation
• Proactive monitoring and
reporting
• Heterogeneous management of
power assets
• Single console access to rack
assets
• Heterogeneous management of
physical and virtual
environments
• Single, secure browser based
access
12
Consolidate disparate Data Center tools
+
Multiple Spreadsheets
+
Static CAD Drawings
Replace with One Complete Solution:
Proprietary Rack
Configurators
Data Center
Planning
Power
Manager
Control &
Manageability
© 2010 Avocent Corporation
13
Insight - Reporting the past and future
Gain visibility into changes that have occurred in the data center and help anticipate
what problems may occur in the future
Monthly Capacity Trends by Floor Plan Historical and Future
Space(ru)
Data as of: m/dd/yyyy hh:mm:ssAM
Sep, 1 2008 – Feb 28, 2009
Plan - Plan 1
Square Footage:
1000
Location:
Atlanta, GA
Max Capacity
Heat(kW)
Power(kW)
Weight(lbs)
Network Ports
Sep, 2008
40
1000
5000
50
Space(ru)
500
Oct, 2008
60
34
3500
245
1000
Nov, 2008
45
400
2126
300
1257
Dec, 2008
40
1000
5000
50
500
Jan, 2009
80
800
3500
245
1000
Feb, 2009
90
900
2126
300
1257
Heat(kW)
40
60
45
40
80
90
Power(kW)
1000
34
400
1000
800
900
Weight(lbs)
5000
3500
2126
5000
3500
2126
Network Ports
50
245
300
50
245
300
Space(ru)
500
1000
1257
500
1000
1257
Heat(kW)
40
60
45
40
80
90
Power(kW)
1000
34
400
1000
800
900
Weight(lbs)
5000
3500
2126
5000
3500
2126
Network Ports
50
245
300
50
245
300
Space(ru)
500
1000
1257
500
1000
1257
1000
800
600
400
200
0
Consumed
Max Capacity
Consumed
Sep, 2008
Oct, 2008
Nov, 2008
Dec, 2008
Jan, 2009
Feb, 2009
Remaining
Data Center
Planning
Power
Manager
Control &
Manageability
Sep, 2008
Oct, 2008
Nov, 2008
Dec, 2008
Jan, 2009
Feb, 2009
Print Date/Time : m/dd/yyyy hh:mm:ssAM
Power (kW)
1000
800
600
400
200
0
Consumed
Max Capacity
Page # of #
© 2010 Avocent Corporation
14
Insight – Asset Inventory Report
Data Center
Planning
Power
Manager
Control &
Manageability
15
Insight – Collect Power Baseline
Environmental reports
Power consumption reports
Data Center
Planning
Power
Manager
Control &
Management
16
Case in Point

5 Megawatts Data Center @ 10 cents/KWh
– Annual power costs = $4, 380,000
 Optimize power utilization (by modeling power consumption)
 Selecting appropriate hardware
 Consolidate underutilized equipment
– Reduce power consumption by just 10%
• $438,000 annual savings
© 2010 Avocent Corporation
17
Create a Plan
Insight
Data Center
Planner
Power
Manager
Control &
Manageability
• Document the location of
existing equipment
• Provide reports on assets and
capacities of the datacenter
• Ability to accurately measure
power usage
• Collect baseline data for
trending analysis
Plan
• Visual modeling of the data
center, racks, and individual IT
elements within a rack
• Dynamically monitoring of
heating, cooling and power
• Plan the deployment of new
equipment using multiple
scenarios
Manage
• Proactive monitoring and
reporting
• Improves change management
quality and lowers cost of
planning and documentation
• Proactive monitoring and
reporting
• Heterogeneous management of
power assets
• Single console access to rack
assets
• Heterogeneous management of
physical and virtual
environments
• Single, secure browser based
access
18
Plan - Analyze Asset Detail
• Compare Racks to help optimize capacities
• Select asset to display unique information
such as asset tag or warranty expiration
• View connections visually to identify any
redundancy problems
• Predict capacity problems by viewing
consumed and available network ports
• Increase accuracy and accelerate change via
Rack Design reports to engineering teams
Data Center
Planning
Power
Manager
Control &
Managabity
19
Plan - Capacity
Power (kW)
1000
800
600
400
200
0
Heat (kW)
Consumed
Max Capacity
1000
800
600
400
200
0
Max Capacity
Space(ru)
Weight(lbs)
1000
800
600
400
200
0
Consumed
Consumed
Max Capacity
1000
800
600
400
200
0
Consumed
Max Capacity
Data Center
Planning
Power
Manager
Control &
Managability
20
Plan – Monitoring Space and Power
Data Center
Planning
Power
Manager
Control &
Managability
21
Manage the Plan
Insight
Data Center
Planning
Power
Manager
Control &
Managability
• Document the location of
existing equipment
• Provide reports on assets and
capacities of the datacenter
• Ability to accurately measure
power usage
• Collect baseline data for
trending analysis
Plan
• Visual modeling of the data
center, racks, and individual IT
elements within a rack
• Dynamically monitoring of
heating, cooling and power
• Plan the deployment of new
equipment using multiple
scenarios
Manage
• Proactive monitoring and
reporting
• Improves change management
quality and lowers cost of
planning and documentation
• Proactive monitoring and
reporting
• Heterogeneous management of
power assets
• Single console access to rack
assets
• Heterogeneous management of
physical and virtual
environments
• Single, secure browser based
access
22
Manage a Dynamic Infrastructure
Data Center
Planning
Power
Manager
Control &
Managability
Visually identify capacity and availability for
implementation or changes to infrastructure
23
Manage – Proactive Monitoring and Reporting
Manage and monitor
power costs
• Data center
• Row
• Rack (as shown)
• Asset level
Infrastructure
Explorer
Power
Manager
DSView 3
Energy Cost Reports – Historical View
24
Manage – Single Console Access
Data Center
Planning
Power
Manager
Control &
Managability
25
Comments from the IndustryI
Continuously Optimize Your Data Center Capacity Before Building or Buying More
Key Findings
 More than 50% of data centers worldwide will face power, cooling and floor space constraints
during the next three years.
 Most organizations struggle with quantifying the scale and technical nature of their data center
capacity problems because of organizational problems, and because of a lack of available
information.
 Few data centers have adopted a continuous-improvement, process-driven approach to
manage their data center capacity problems.
 Most data centers still use inefficient, ad hoc approaches to manage their data center capacity
issues.
Recommendations
 Evaluate the floor space, power and cooling consumption in the data center.
 Conduct an energy consumption audit and computational fluid dynamic analysis once a year.
 Improve the use of the existing infrastructure through consolidation and virtualization before
building out or buying new/additional data center floor space.
 Consider the use of IT equipment and growth rates with power, cooling and floor space
requirements when deciding on building versus buying new/additional data center space.
 Use a continuous-improvement, process-driven approach to improve data center floor use
and allocation.
Rakesh Kumar – March 2009
© 2010 Avocent Corporation
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Business Value






Banking – “Install 3,000 servers per year.
Reduced Install time from 60 to 10 days.”
Fujitsu – “We saved over 500 man-hours per
month ($25K+) in one data center.”
Lehman Brothers – “75-100 tickets a day, install
1,000 machines a week, 10,000 tickets a year.
Improved time-to-provision from 2-3 weeks
to 1-2 days.”
Retail – “Installs 75-100 servers per month.
Reduced time by 30% and error rate dropped
from 25% to 0%, saving $157,000 annually.”
Banking – “Confirmed 1,745 devices could be
removed from maintenance saving $212,988 a
month.”
Lehman Brothers – “Before implementing
Infrastructure Management $13M in
equipment was lost.”
Solutions
Emerson Infrastructure Management Strategy
Building
Management
Companies
IT Management
Companies and
Server OEMs
Avocent
Liebert,
Aperture,
Alber,
Knurr
Building
Data
Center
Rack
IT
Infrastructure
Applications
Emerson brings a holistic, solutions approach
to data center infrastructure management
Conclusions
Convergence is coming…
 Proactive measurement,
planning, and management
is critical to success
 Possessing the proper
technology can reduce or
eliminate the pain
 Evolutionary, not
revolutionary process
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