Data center infrastructure management (dcim) for dummies

DCIM
by Allen G. Taylor
Nlyte Special Edition

DCIM For Dummies®
, Nlyte Special Edition
Published by
John Wiley & Sons, Inc.
111 River St.
Hoboken, NJ 07030-5774
www.wiley.com
Copyright © 2015 by John Wiley & Sons, Inc., Hoboken, New Jersey
No part of this publication may be reproduced, stored in a retrieval system or transmitted in any form
or by any means, electronic, mechanical, photocopying, recording, scanning or otherwise, except as
permitted under Sections 107 or 108 of the 1976 United States Copyright Act, without the prior written
permission of the Publisher. Requests to the Publisher for permission should be addressed to the
Permissions Department, John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, (201) 748-6011,
fax (201) 748-6008, or online at http://www.wiley.com/go/permissions.
Trademarks: Wiley, For Dummies, the Dummies Man logo, The Dummies Way, Dummies.com, Making
Everything Easier, and related trade dress are trademarks or registered trademarks of John Wiley &
Sons, Inc. and/or its affiliates in the United States and other countries, and may not be used without
written permission. Nlyte and the Nlyte logo are trademarks or registered trademarks of Nlyte. All
other trademarks are the property of their respective owners. John Wiley & Sons, Inc., is not associ-
ated with any product or vendor mentioned in this book.
LIMIT OF LIABILITY/DISCLAIMER OF WARRANTY: THE PUBLISHER AND THE AUTHOR MAKE
NO REPRESENTATIONS OR WARRANTIES WITH RESPECT TO THE ACCURACY OR COMPLETE-
NESS OF THE CONTENTS OF THIS WORK AND SPECIFICALLY DISCLAIM ALL WARRANTIES,
INCLUDING WITHOUT LIMITATION WARRANTIES OF FITNESS FOR A PARTICULAR PURPOSE.
NO WARRANTY MAY BE CREATED OR EXTENDED BY SALES OR PROMOTIONAL MATERIALS.
THE ADVICE AND STRATEGIES CONTAINED HEREIN MAY NOT BE SUITABLE FOR EVERY SITU-
ATION. THIS WORK IS SOLD WITH THE UNDERSTANDING THAT THE PUBLISHER IS NOT
ENGAGED IN RENDERING LEGAL, ACCOUNTING, OR OTHER PROFESSIONAL SERVICES. IF PRO-
FESSIONAL ASSISTANCE IS REQUIRED, THE SERVICES OF A COMPETENT PROFESSIONAL
PERSON SHOULD BE SOUGHT. NEITHER THE PUBLISHER NOR THE AUTHOR SHALL BE LIABLE
FOR DAMAGES ARISING HEREFROM. THE FACT THAT AN ORGANIZATION OR WEBSITE IS
REFERRED TO IN THIS WORK AS A CITATION AND/OR A POTENTIAL SOURCE OF FURTHER
INFORMATION DOES NOT MEAN THAT THE AUTHOR OR THE PUBLISHER ENDORSES THE
INFORMATION THE ORGANIZATION OR WEBSITE MAY PROVIDE OR RECOMMENDATIONS IT
MAY MAKE. FURTHER, READERS SHOULD BE AWARE THAT INTERNET WEBSITES LISTED IN
THIS WORK MAY HAVE CHANGED OR DISAPPEARED BETWEEN WHEN THIS WORK WAS WRIT-
TEN AND WHEN IT IS READ.
Publisher’s Acknowledgments
Some of the people who helped bring this book to market include the following:
Project Editor: Jennifer Bingham
Acquisitions Editor: Katie Mohr
Editorial Manager: Rev Mengle
Business Development Representative: Karen Hattan
Project Coordinator: Melissa Cossell
For general information on our other products and services, or how to create a custom
For Dummies book for your business or organization, please contact our Business
Development Department in the U.S. at 877-409-4177, contact info@dummies.biz, or
visit www.wiley.com/go/custompub. For information about licensing the For Dummies
brand for products or services, contact BrandedRights&Licenses@Wiley.com.
ISBN 978-1-119-06295-0 (pbk); ISBN 978-1-119-06298-1 (ebk)
Manufactured in the United States of America
10 9 8 7 6 5 4 3 2 1

Introduction
Data Center Infrastructure Management (DCIM) is the
discipline of managing the physical infrastructure of a
data center and optimizing its ongoing operation. DCIM is a
software suite that bridges the traditional gap between IT and
the facilities groups and coordinates between the two. DCIM
reduces computing costs while making it easier to quickly
support new applications and other business requirements.
About This Book
This book explains the importance of DCIM, describes the
key components of a modern DCIM system, guides you in the
selection of the right DCIM solution for your particular needs,
and gives you a step-by-step formula for a successful DCIM
implementation.
Because this is a For Dummies book, you can be sure that it’s
easy to read and has touches of humor.
Foolish Assumptions
In preparing this book, I assume a few things about you:
✓ You’re responsible for a data center, and understanding
its intricacies is becoming increasingly difficult.
✓ You’re a C-level executive and your data center is of
strategic and fiscal importance to your organization.
✓ You’re simply curious about how the operation of an
enterprise-level data center can be optimized today.
Icons Used in This Book
You’ll find several icons in the margins of this book. Here’s
what they mean.

DCIM For Dummies, Nlyte Special Edition2
A Tip is a suggestion or a recommendation. It usually points
out a quick and easy way to get things done or provides a
handy piece of extra information.
Anything that has a Remember icon is something that you
want to keep in mind.
A Warning alerts you to conditions that require extra care and
thinking. For example, you don’t want to omit critical steps in
evaluating your needs and planning your implementation.
Beyond the Book
You can find additional information about DCIM by visiting the
following websites:
✓ For general background information, visit: http://
en.wikipedia.org/wiki/Data_center_
infrastructure_management.
✓ For an online magazine dedicated to the latest DCIM
news, visit: www.datacenterjournal.com/category/
data-center-infrastructure-management-2.
✓ For more information on Nlyte Software, visit www.
nlyte.com/dummies.

Chapter 1
DCIM101
In This Chapter
▶ Examining the evolution of data centers
▶ Seeing what DCIM has to offer
▶ Looking at the importance and stakeholders of DCIM
▶ Overviewing DCIM goals
▶ Looking at DCIM today
▶ Aligning IT with business needs
Try saying Data Center Infrastructure Management ten
times fast. Now you know why everybody calls it DCIM
instead. It’s a complex subject, and DCIM means different
things to different people. Basically though, DCIM is a
resource and capacity planning business management solu-
tion for the data center. DCIM as a separate field came into
being in response to changes in the operating environment
that required better management of operations that had been
ad-hoc in the past.
This chapter explains how data centers have evolved and how
they were haphazardly managed before comprehensive, inte-
grated DCIM software became available. This chapter also dis-
cusses how the demand for ever-increasing performance from
a data center has driven the evolution of increasingly powerful
solutions to help manage all the infrastructure a data center
needs, including hardware, software, and facilities resources.
How Data Centers Have Evolved
Ever since computers were first used for business tasks, the
specific needs of each application in aggregate have dictated

the size, capacity, and specific configuration of the computing
environment. As businesses grow and the number of com
puting projects increases, their data center needs grow and
evolve as well. Because challenges and opportunities differ
from one business to another, the computing resources of
each tend to evolve in different ways.
To meet these new application needs, the data center is con-
stantly changing. Equipment is added or removed regularly.
Older equipment is exchanged for newer, more powerful or
more cost-effective machines. At times, data center change
can be sweeping and disruptive. After a few years of ad-hoc
changes combined with normal employee turnover, nobody
knows exactly what equipment exists, why or where it is
installed, who owns it, or even what it does.
Data centers that have grown haphazardly as requirements
have shifted have often become massive structures that are
difficult to support. All too often, band-aid fixes to problems
are applied that fix problems for a short time, but leave
untouched the underlying structural and ongoing manage-
ment problems.
What Does DCIM Provide?
Many enterprise-level organizations have comprehensive, inte-
grated software suites that oversee and manage key aspects of
their business, such as sales, finance, manufacturing, and ship-
ping. The larger the organization, the more critical it is to have
such overarching visibility and control over core concerns.
The same logic calls for comprehensive, integrated control
over the enterprise’s data center, which has typically become
an organization’s largest and most valuable asset.
Today, IT management is looking for its own purpose-built
enterprise-class business management suite for the entire data
center. Managers are looking for something that ties together
everything from the physical component layer, the virtual
and logical layers, and up through the actual delivering of
information and control to IT personnel. The desire is to move
from a tactical approach aimed at keeping bad things from
happening to a strategic implementation of well-organized
management technology. The aim is to capture years of data
center asset-management expertise and present it as sets of

Chapter 1: DCIM 101 5
business management processes and specific supporting tools.
The result is effective ongoing management of the business at
hand, which is definable, accountable, defendable, support-
able, and consistent.
In simple terms, DCIM is the strategic business management
solution for the data center. DCIM is the structured approach
to managing change, purpose-built for the data center. That
change consists of the facility itself, as well as all of the IT
components housed within those facilities.
Perhaps more than anything else, DCIM’s value is in its capa-
bility to manage change workflows for the business of IT at
the physical infrastructure level and in tying these physical
structures to the applications that live on top of that physical
infrastructure.
In the course of its evolution, DCIM has become a data center
management extension to a number of other systems, includ-
ing asset and service management, financial general ledgers,
and other core business systems. A well-deployed DCIM solu-
tion quantifies the costs associated with moving, adding, or
changing equipment on the data center floor. It understands
the cost and complexity of operation of those assets, and
clearly identifies the value that each asset provides over its
lifespan. The views provided by DCIM serve to bring together
the IT and the facilities world.
Figure 1-1 shows how DCIM stands between IT and facilities
and joins them together. The physical assets of the facility,
such as floor space, electrical power, environmental control,
and cooling are monitored and controlled by DCIM processes,
which then interface with the virtual infrastructure overseen by
the IT function. The DCIM suite provides an overview of system
health and functioning, and also enables drilling down to any
desired level of detail for fine-grained control of operations.
As a category, DCIM can be pretty broadly defined. In addi-
tion to the comprehensive software suites described previ-
ously, anyone who sells any component of the system can
claim to be a DCIM vendor, including those that provide
network-addressable power strips or environmental sensors.
A well-conceived DCIM implementation will generally include
several such vendor solutions, all working together. For
example, a core DCIM management suite might be coupled

with intelligent power appliances as well as several different
environment sensor solutions.
Figure 1-1: DCIM is the layer of infrastructure that supports the enterprise
IT function.
Of all the advantages that DCIM provides, perhaps the most
important is that it breaks down the walls of the silos that IT
and facilities have been living in and enables those groups to
work together more closely to satisfy the needs of the busi-
ness. The overall goals are to reduce the cost of doing the
computing work that the data center is charged with doing
and increase the responsiveness to changing business needs.
Computing cost has many components. Some are IT-specific,
some are facilities-specific, and some relate to the interface
between the two. Prior to the implementation of a DCIM
system, some of those interface opportunity costs can’t be
realized because they don’t leverage the broader view. The
DCIM platform exposes these costs and allows scrutiny, which
is the first step toward reducing or eliminating them.
The most important IT
aspects of DCIM
The IT aspects of DCIM are primarily concerned with resource
and process management. Do you have enough space and
power in the right place for new application rollout? Are
the provisioning, remediation, and decommissioning work-
flows the correct ones? Are these processes repeatable and
These materials are © 2015 John Wiley Sons, Inc. Any dissemination, distribution, or unauthorized use is strictly prohibited.

defendable? These are the main questions that IT managers are
asking, and they’re looking to DCIM for the answers. Today’s
DCIM suites should be able to give answers to these questions
with an easy-to-comprehend visual representation of the state
of the system at any point in time.
The most important facilities
aspects of DCIM
To the facilities manager, visibility of the real-time status of
energy usage and cooling effectiveness is important, as is the
capability to manage capacity-related planning and what-if
scenarios. Job one is to provide an environment that enables
continuing, trouble-free operation. This must also be accom-
panied by a clear understanding of the impact of new projects
on power and cooling resources.
How DCIM relates
to business goals
IT and facilities management must constantly maintain a
delicate balancing act to match the supply of computing with
the ever-changing demand for it. A major business goal is to
provide needed computing services at the lowest possible
cost per unit of work. To do that, organizations must maintain
sufficient capacity to satisfy peak demand, but at the same
time they must have the knowledge that will enable them to
plan for future computing needs over time. In the future, DCIM
systems will be a critical set of metrics to be used by virtual-
ization systems to perform the matching operation between
computing supply and demand automatically, without human
intervention.
The Strategic Importance
of DCIM
DCIM enables the data center to make the best use of the
physical resources available, as well as enabling the seamless
integration of the data center into the enterprise’s other busi-
ness management solutions for asset management, process

management, data management, capacity planning, budgetary
planning, and other important systems.
Information is the most strategic asset and competitive dif-
ferentiator that an organization has. The data center floor is
the producer of that strategic value. DCIM is the manager of
that data center floor, consisting potentially of hundreds of
millions of dollars in assets, as well as billions of dollars in
information that flows through that data center.
The DCIM Stakeholders
Four functional categories have a direct interest in DCIM. The
first, of course, is the IT organization, which consists of indi-
viduals who spend their entire careers keeping the data center
operating. A close second is the facilities organization, which
must supply power and cooling as well as maintain building
infrastructure, in support of data center operations. Thirdly,
the finance department is keenly focused on the costs of main-
taining the data center infrastructure, and how those costs
compare with the business value delivered by the data center.
Finally, the executive team must understand the positive
impact DCIM can have on their corporate management tasks,
especially in regard to today’s increased focus on IT costs.
How DCIM Influences, Enables,
and Supports Corporate
Goals for IT
Information technology has been in a state of continual tran-
sition since its beginnings. These changes, in a multitude of
areas, can be smoother and less painful with DCIM. Here are
some of the benefits of DCIM:
✓ The ascendancy of the cloud has had a major disruptive
effect on the traditional way of scaling business process-
ing. DCIM can be used with both public and private cloud
infrastructures. It makes it easier to create IT infrastruc-
tures that are more elastic and responsive, while allowing
high degrees of visibility and control of space, power,

and networking resources. It also adds documentation of
what it sees and controls.
✓ By actively managing assets, which in turn affects total
power usage, DCIM can have a significant impact on an
organization’s cost structure and carbon footprint. DCIM
allows energy usage to be modelled upfront instead of
tracked after the fact.
✓ To optimally deploy assets within a data center, detailed
capacity planning is essential. DCIM provides the detail
identifying where each asset should be deployed and
how frequently equipment should be refreshed. DCIM
gives managers visibility of long-term usage trends.
✓ In the past, IT organizations have acted reactively to prob-
lems as they arose. But DCIM, by making fine-grained infor-
mation available instantly, can enhance and coordinate
changes across major systems. Users of DCIM systems can
dramatically increase operational efficiency, increase pro-
ductivity, reduce human errors, and even reduce the time
it takes to solve problems that do arise. As a result, rather
than requiring a large number of low-skilled workers who
perform repetitive jobs, organizations with DCIM in place
can utilize those workers in higher-skilled roles.
✓ The facilities that house a data center are costly, and
DCIM extends the useful life of those data centers by
identifying stranded resources, and by optimizing the
use of existing capacity. Any time you can avoid buying
new capacity by making better use of the capacity you
already have is a win for your organization.
✓ Regulations and legislation are getting more restrictive all
the time, often in an attempt to reduce energy consump-
tion and the carbon footprint of industry. With DCIM, you
can identify energy consumption, enabling you to take
action to reduce it per unit of work that is accomplished.
In the process, DCIM also provides the documentation
that regulatory agencies require.
Common Goals for DCIM
People with different functions come to DCIM with different
goals, based on different needs that they have. Fortunately,
DCIM actually can help with widely disparate requirements,
including the following:

✓ One overriding goal is to reduce the operating cost of the
data center. It is a truism that you can’t manage what you
don’t measure. The instantaneous view that DCIM gives
you of not only power consumption, but also every other
critical resource gives you the basis for performing actions
that will lower costs and continue to control them on an
ongoing basis. Not only will you know what your power
consumption is, you will know exactly which components
of your system are consuming it, and at what rate.
✓ In addition to optimizing the use of electric power, a
major goal of DCIM is to provide timely and accurate
information about the available capacity of the data
center for future growth.
✓ If you want a data center to operate according to best
practices, it’s important to be able to identify, optimize,
and manage the workflows associated with change for
the data center’s physical assets. DCIM captures the
processes associated with change, and then enforces
the steps required to make those changes across the
infrastructure.
✓ DCIM coordinates and consolidates disparate sources
of real-time information into a single view of asset
knowledge.
✓ DCIM gives predictability of space, power, and cooling
capacity, increasing data center lifespans as well as
lowering operating costs.
✓ DCIM translates raw data about the data center into
actionable business intelligence suitable for all.
Why DCIM Is Important Today
Modern DCIM suites touch every aspect of the operation of a
data center. They provide value in a number of different ways.
Some of these ways have to do with controlling costs, some
facilitate smoother and more supportable operations, and
others make it easier to operate in compliance with govern-
ment regulations.

Triggers to the acquisition
and deployment of DCIM
DCIM is a relatively new discipline, but of course organiza-
tions have been concerned with asset management since the
first data centers started operating. Early approaches to data
center asset management were merely extensions of financial
bookkeeping tools. Accounting systems were augmented by
adding information about physical attributes of assets and
who owned what. Some efforts went beyond that to include
crude visualizations of rack and floor layouts. These early
efforts added some value to the enterprise, but were not
considered strategic, so they didn’t improve much with time.
They were considered tactical tools and not critical.
Everything changed when the financial crisis of 2007-2008
turned into The Great Recession. The price of energy skyrock-
eted, while the income streams for many organizations plum-
meted. Reduced customer spending caused the data center
industry to look for ways to become more efficient. Luckily,
some of the DCIM solutions at that time had risen to a level of
maturity to answer those needs.
Managing capacity
The three physical resources that have the biggest impact on
data center cost are power, cooling, and floor space. The cost
of power has been rising steadily, and as power consumption
increases, the need for more cooling capacity increases right
along with it. In addition to requiring more power and cooling
capacity, floor space in the data center must be treated as a
precious commodity because it is finite in nature.
The cost to add space to the infrastructure is enormous. High
quality space is actually hard to come by. Power is available
in most locations, but at a cost that continues to rise. And
remember that for every watt of power that is used by IT
equipment, another watt of power is used to cool that equip-
ment. The analytics functions of DCIM installations show
where and how these physical resources are used and predict
future needs based on existing trends.

DCIM can also point out equipment that’s drawing power but
contributing little or nothing to the productivity of the data
center. Sometimes, equipment continues to run just because
it always has. DCIM can identify equipment that is no longer
needed and, using its workflows, can enable the decommission-
ing of that gear, thereby saving power and space. Up to one-
third of all devices on a data center floor may be unnecessary.
DCIM can also pinpoint older equipment that must be
refreshed to realize the modern economics of more efficient
models.
Re-engineering business processes
Traditionally, data centers have operated on the principle of
“high service levels at any cost.” Today, with tighter budgets,
this mantra has been transformed into a planned and predict-
able approach where the question is asked, “What is the value
and cost of each service?” Individual service value and cost
have now been added as considerations. IT organizations are
being asked to document their existing approaches and then
evaluate whether those practices still make sense. Many orga-
nizations find that their existing practices impede their ability
to streamline their operations.
DCIM enables organizations to create baselines from which
they can author new optimized workflows and manage their
assets over long periods of time. With DCIM, organizations
can capture current business practices and then modify them
to optimize performance and improve efficiency.
Consolidating resources
Data center consolidation has been a major trend for the past
several years, and it promises to continue on into the future.
Advances in computing technology have enabled the concen-
tration of more computing power into an ever-smaller space.
And corporate mergers have resulted in mergers of those cor-
porations’ data centers.
DCIM directly supports the volume of commissioning and
decommissioning of computing equipment found in data
centers that are undergoing consolidation. Entire structures

can be exported easily from one location and redeployed in
another. DCIM becomes an essential enabler of data center
migration and consolidation projects.
Adding new capacity or
even new data centers
Technology is advancing at such a rapid pace that many orga-
nizations suddenly find that their data centers are several gen-
erations behind, and aren’t up to the demands currently being
made on them. These older data centers were designed with
growth in mind, but not to the extent that has been required
over the past several years. The near future promises to put
an even greater strain on systems. The massive amount of
data being collected and processed now will only get larger.
DCIM enables the quantification of current data center capacity,
with an eye toward managing the demand for increasing capac-
ity going forward. The tools available in modern DCIM suites
can study a sample of time-based usage data, in combination
with demands for new corporate initiatives, to provide the infor-
mation needed for highly accurate data center planning. DCIM
not only quantifies data center capacity, it also allows future
capacity to be projected.
Minimizing costs
A data center’s operating costs are dominated by the carrying
cost of the IT equipment and its power and cooling. Curiously,
the carrying costs of IT gear have been a little understood
concept in IT organizations. These costs include acquisition,
depreciation, warranty, and service. Combined, these costs are
a significant factor in operating costs. Technology refreshment
is the most common approach to minimizing this component.
Additionally, with green IT high on the priority list of every
Chief Sustainability Officer, one goal is to create a data center
that produces the greatest amount of computation per watt of
electricity consumed.
In order to make the optimizations that will reduce power
consumption and save money, a wide array of measurements
must be made and evaluated to get a baseline of the resources

currently in use by the data center. DCIM can then identify
areas that can be optimized. As computing load and other
conditions change, DCIM continues to suggest adjustments
that can provide continuous improvement.
Performing a technology refresh
IT has been steadily growing for much of the last 50 years; the
past 20 at an increasingly accelerated rate. This rapid growth
means that at fairly regular intervals, major changes of the
equipment in a data center must be made. These technology
refreshes may call for an entire redesign of a data center’s infra-
structure. With a new design, old ways of doing things may no
longer be effective, let alone optimal. Best practice manuals
must be rewritten to accommodate new styles of computing.
Among other things, DCIM can be used to document the new
structure, giving you a solid baseline as well as enforcing each
of these workflow steps required to make ongoing changes.
Designing for sustainability
Sustainability has to do with preserving the Earth’s nonrenew-
able resources to the greatest extent possible. These nonre-
newable resources include the fossil fuels that are used in the
production of most of today’s electricity. There is an urgency
to trim electricity usage in the data center due to its sheer
magnitude and associated costs. The measure of consump-
tion is generally referred to as a data center’s carbon footprint.
Organizations strive to reduce their carbon footprints. Similarly,
reductions in electricity usage also conserve water, because
water is the primary medium used to carry away waste heat
from the data center’s cooling system.
The environment benefits when a data center runs more effi-
ciently. Less electricity is used, saving money, less water is
used for cooling, and finally, fewer pollutants are spewed into
the atmosphere in the process of generating electricity.
DCIM provides the information that enables data center man-
agers to identify equipment that uses more resources than are
justified, enabling replacement by more efficient equipment.

The oversight challenge
The impact of the data center has become so pervasive
throughout an enterprise that it is closely scrutinized not only
by senior management, but also by watchdog and government
regulatory agencies. Senior management wants to know that
the data center is being run efficiently and government agen-
cies are concerned with the environmental impact of the data
center. DCIM enables the data center to be seen as a single
system, with each of the components identified and under-
stood. The efficiency of each component is made visible and
can be optimized on a continuing basis as load factors and
environmental variables change.
Due to product life cycles, financial models, optimizations, and
evolution, a conservative estimate says that more than one
quarter of all data center assets should be changed every year.
For a data center with 250 racks of equipment, that equates to
more than a dozen changes every day of the year. Each of
these changes can be viewed as a project. In such an environ-
ment, manual processes or documentation are overwhelmed.
DCIM is really the only tool that can manage such massive
change.
Relating to the cloud
There are two types of clouds: public clouds and private
clouds. Public clouds are businesses in themselves, run by
major companies such as Google, Microsoft, or Amazon.
Thousands, or even millions, of people or organizations can
store their information on these clouds. Public clouds offer
self-service, quick provisioning, and accounting, along with
world class security and guaranteed uptime. To operate on
this scale, public clouds absolutely must use some form of
DCIM to responsively manage assets and dynamically tune
their systems to variations in supply and demand. Without
DCIM, public clouds can’t deliver the level of service that
users have come to expect.
Private clouds are basically traditional data centers that
have been transformed using the principles pioneered by the
public clouds. DCIM solutions are proving to be significant
enabling technologies for this IT infrastructure reengineering.
DCIM is all about enabling the data center to be responsive
and aligned to the business.

The Business Mantra
If you want a data center to be operated like a business in its
own right, it needs to have the attributes of a business. The
following sections discuss the key business attributes that
apply to data centers.
Repeatability of processes
In order for any business to run efficiently, standard processes
for the way things are to be done must be established, and
once established, they must be followed consistently and with
repeatability. As processes become routine, productivity goes
up and errors go down. This principle applies to data centers
just as well as it does to entire businesses.
Predictability of results
and timing
If your processes are always performed the same way on a
consistent basis (repeatability), they should always produce
predictable results, and they should do it in about the same
amount of time, every time (predictability). DCIM is the tool
that takes advantage of the repeatability of your processes
to enable you to predict the performance of your data center,
in the presence of variations in processing load and other
variables.
Supportability using
documentation
In order for a business to be viable over the long term, it must
have some institutional memory. Because staff turnover is a
reality in any business, that institutional memory needs to be
codified in formal documentation. For something as complex
as a data center, accurate and highly detailed documentation
is critical. Not only is it important to document the physical
plant and all the equipment in it, you must also document
the change management processes that are performed on

the equipment. Maintaining this type of detail is exactly what
DCIM is designed to do.
Accountability: Instant access
to any aspect of the structure,
performance, and value
A data center manager should be prepared at any moment
to justify the value that the organization is receiving from
the data center. To be able to do that, she must have instant
access to the structure of the data center and how it’s per-
forming at the moment. To have immediate access to an
overview of operations, with the ability to drill down to any
desired level of detail, the integrated view provided by DCIM
is the only way to provide a responsive answer.
Documented: Diagrams, impact
analysis, system of record
The documents used to provide the repeatability, predict-
ability, supportability, and accountability mentioned in
the preceding sections must be comprehensive, including
detailed diagrams of all connections between components.
The documentation should include a complete description of
the system of record, from the most detailed level all the way
up to an overview of the system. Another important part of
the documentation is an impact analysis that predicts the way
the system would be affected should a failure occur to one of
its critical components, such as core router or storage switch.
DCIM documentation can tell you what is affected upstream
or downstream to help quantify production impacts.
Aligned: Goals of the data center
are closely aligned with those
of the enterprise
In large organizations, there is often a tendency for IT to
operate as if it is an enterprise in its own right (an enterprise
within an enterprise). This can lead to problems if the goals

of IT leadership diverge from those of the enterprise in gen-
eral. By tightening the integration between IT, finance, and
facilities, as well as other functional groups in the organiza-
tion, DCIM helps IT to see itself as an integral part of a larger
entity rather than as an organization that is isolated by its
raised floor from the parts of the organization that live on
the ground floor.

Chapter 2
TheKeyComponents
of DCIM
In This Chapter
▶ Planning floor space and rack space
▶ Looking at the equipment catalog
▶ Following asset life cycle requirements
▶ Planning for capacity and integrating with existing structures
▶ Dealing with data
Today’s most robust Data Center Infrastructure Management
(DCIM) solutions include all the necessary functions to
support the required equipment provisioning, optimization,
remediation, and documentation of your data center. Mature
DCIM suites contain a range of functional modules that work
together seamlessly. These modules offer many ways to gather
large amounts of static and dynamic data, store it, correlate
it, and then present the resulting information in a comprehen-
sible way.
This chapter discusses the building blocks of a comprehen-
sive DCIM solution.
Floor Space Planning
Each data center is shaped in its own way and has a fixed
amount of floor space into which everything must fit. Most of
the equipment included will reside in standard-sized racks,
but some things will have nonstandard shapes or sizes.

Data centers are laid out on an X-Y coordinate grid that aligns
with the placement of the 24-inch floor tiles in a traditional
raised-floor data center. Even though data centers today are
rarely simple rectangles, may not use raised flooring systems,
and contain obstacles such as support columns and cooling
equipment, the X-Y system is nonetheless universally used.
The DCIM solution’s floor planning component must account
for differences in geometry and record an accurate position
for each rack or other device.
Most DCIM offerings also include an overall visual representa-
tion of the data center. Figure 2-1 shows an overhead view of
a data center. Such overhead views can use color coding to
represent data for categories such as ownership, function,
capacity, or temperature.
Figure 2-1: A data center floor plan.
Rack Planning and Design
Data center racks are the basic building blocks from which
data centers are built. Each rack is typically a steel cabinet
that is 6 feet high, 2 feet wide, and 3 feet deep, although these
height and depth dimensions may vary from one rack type
to another. Approximately forty to fifty 1U devices fit into
a rack. (Each U represents a vertical height of 1.75 inches).
Depending on the sizes of the devices in a given rack, that
number of devices may be greater or smaller. Equipment can
be installed into a rack either from the front or the back, and
may be either mounted on shelves or bolted into the rack
frame. DCIM offerings enable racks to be placed on the floor

Chapter 2: The Key Components of DCIM 21
tile map. As a result, the DCIM contains a high fidelity repre-
sentation of the location and placement of every device.
Knowing which equipment is in each rack is an important
part of asset management. An understanding of what specific
equipment each rack contains enables data center personnel
to quickly determine not only the context of how devices are
deployed, but also keep a running track of space, power, and
cooling resources available for each rack. Prospective DCIM
customers should pay close attention to how their DCIM
vendor plans to maintain the accuracy of this data. In most
cases, DCIM vendors start with the entries in their equipment
materials catalog as building blocks for rack design, as shown
in Figure 2-2.
Figure 2-2: Rack planning tools allow a highly accurate representation of
all installed assets.
When planning new deployments, the DCIM suite can optimize
the placement choice for each piece of equipment based on
required resources. This design-time optimization is critically
important to optimize the data center and prevent stranded
resources. This type of interactive design is appropriate once
a DCIM solution has been in operation for some time. When
starting out, however, rack design can be handled by the
DCIM solution’s bulk import capabilities to load large num-
bers of devices into their racks along with the associated con-
nectivity, typically derived from older spreadsheets and other
electronic files.

The Equipment Materials Catalog
Over time, new business initiatives will require additional
devices to be placed in racks on the data center floor. To
facilitate this, mature DCIM solutions contain a catalog of
equipment asset types. New devices that are added must be
selected from that catalog or manually created and then used
to populate the model of the data center ongoing.
Most vendors of DCIM solutions supply material libraries in
excess of 5,000 devices. The materials catalog contains rep-
resentations of devices and includes their manufacturers’
specifications for them. Usually included are high resolution
renderings of the front and back of the device, power require-
ments, physical dimensions, weight, connectivity, and other
relevant parameters. Complex devices may also include infor-
mation about installable options such as power supplies and
interface cards.
But don’t be fooled by the size of this catalog because new
models are introduced every day, which means the library
will quickly become outdated. More important is the ease
with which new entries can be added to your version of the
catalog.
Some vendors will add new entries at a customer’s request.
When shopping for a DCIM vendor, consider what is required
to add any new devices to your version of the catalog yourself
or what commitment you have from the DCIM vendor to do so.
Change Management
Every asset in a data center has a life cycle — as does the
data center itself, starting with its installation, through its pro-
ductive use, and finally reaching the time when it is replaced
by something that more accurately satisfies the changed
needs of the organization. The increasing rate of change
demands the incorporation of DCIM into any data center
desiring efficiency. The fiscal benefits of deploying DCIM to
manage changes can far exceed the savings derived from
power savings alone.

At its core, DCIM is a structured approach to asset life cycle
management. The life cycles of the assets in a data center
should be managed over their entire lifespan in the data
center. Over the course of these years, thousands of changes
will be made to the data center. Your IT business analysts will
recommend equipment be refreshed at a period to match its
depreciation and warranty schedules; typically every three
to four years. If a quarter to a third of your servers are being
changed out every year, imagine what must be done on a daily
basis. DCIM is the business management platform that keeps
all these Add/Move/Change cycles in order, documents the
process at each step, and identifies tasks that need to be com-
pleted. Following a consistent set of steps provided by DCIM
workflows reduces human error, saving time and money.
Capacity Planning
One of the most sought-after capabilities of a modern DCIM
suite is its capability to handle capacity of production
resources. Data centers have physical capabilities and limita-
tions. Whether considering floor space, weight, power, con-
nectivity, or cooling, each data center has a set of physical
limitations that determines its maximum capacity for work.
DCIM gives you clear visibility into these limiting factors,
tracking them over time. Tracking all resources over time
enables predictions to be made about when any particular
resource will be exhausted, and thus when supplementary or
even replacement capacity must be brought online.
Visibility of past and present data enables the recognition of
trends that can be extrapolated into the future. Mature DCIM
solutions use such data to make forecasts of future needs
and the capacity that will be needed to satisfy those needs.
Recently, an IDC survey found that almost one third of all
data centers have been forced to delay the introduction of
new business services, and more than three quarters of those
same data centers have had to spend extra OPEX budget to
maintain a poorly designed or out-of-date data center struc-
ture. The costs of such delays can be huge.
A mature DCIM suite is based on a model that includes a
fine-grained representation of the data center, enabling it to
identify where resources such as floor space, power, cooling
capacity, and connectivity exist. Over several years, many

data centers have lost the use of available resources when
the data center’s original design is modified and resources are
moved, often to places where they can’t be effectively used.
Another problem is locating a resource in a place where a nor-
mally co-resident resource isn’t available. For example, a high
density blade server may be located in an area with plenty of
power, but limited cooling capacity. That power essentially
becomes “stranded.” It can’t be used without sufficient cool-
ing. The same kinds of imbalances can occur across all of
the data center’s resources. Modern DCIM solutions help by
identifying where resources exist and suggest the optimal
placement of new devices based on the availability of all of the
required resources at the same place. Such optimization can
add two or more years of useful life to an existing data center
structure.
Integrating with Existing
Management Frameworks
Before the advent of DCIM systems, data centers were man-
aged only at the logical level by point management solutions.
These solutions ignored the physical structure altogether.
The most useful DCIM solutions are those that connect to
those preexisting solutions as well as traditional business
management applications that have been used to coordinate
workflows and track assets. Integration to these existing
systems is critical to extending the value of service desk and
ticketing processes. DCIM vendors are increasingly finding
their customers asking for integrations with these systems.
Integrations can range from simple device access via standard
protocols such as SNMP, Modbus, or WMI, to more complex
web-based integrations of workflow and CMDBs.
Prospective customers should consider a vendor’s availabil-
ity of off the shelf conduits rather than professional services
engagements when making DCIM vendor choices.
It is commonplace today to dynamically match capacity to
load at the logical and virtual machine levels, but not at the
physical level. However, the physical level is the place where
such dynamic management would do the most good, and that
is exactly where DCIM fits.

Real-Time Data Collection
When many people hear about DCIM, they think, “Oh, that’s
only about real-time data collection.” Fortunately, that couldn’t
be farther from the truth. Real-time data collection is just one
of the sources of information that provides asset metrics in
real time. In fact, real-time data collection represents just a
tiny portion of the DCIM opportunity.
Two major types of operational data must be collected in
a data center. The first type is data about the traditional IT
devices, their power usage, and their virtual components.
These devices commonly communicate via traditional net-
working protocols such as SNMP or modern web-based APIs.
The second type of data comes from the data center’s thermal,
mechanical, and electrical infrastructure. This includes the
thermal sensors, bulk power distribution, and cooling devices.
These devices communicate with any one of a number of dif-
ferent protocols, including SNMP, MODbus, BACnet, LON, and
in some cases even ancient ASCII RS-232.
In most cases, the data collected by a data center’s various
sensors and monitoring devices is collected a few times per
hour by polling those devices. The vast majority of real-time
data collected relates to such things as temperature, humidity,
air pressure, and electric power. Records of these variables
can be studied over long periods of time by the analytic por-
tions of the DCIM software, in search of any trends that might
be detected in the data.
A variety of collection utilities have appeared from a wide
range of vendors. In many cases, these monitoring solutions
can be combined with DCIM suites to create an increasingly
dynamic DCIM solution, with each individual data collection
solution contributing its specific piece of the puzzle. A modern
data center will have several data collection systems in place,
each of which can be leveraged into a mature DCIM solution.
In general, the more sources of metrics that feed into the
DCIM suite, the better.
With all the data coming in from a multitude of sources, the
DCIM solution becomes the aggregation point and correlation
engine that interprets the raw data.

Reporting
One of the most highly visible features of any DCIM solution is
its reporting capability. It is in reports that massive amounts
of raw data are transformed into information in a form that
can be comprehended and acted upon. DCIM vendors take
two approaches to reporting. The first approach is for the
DCIM suite itself to offer a detailed raw reporting or ad-hoc
reporting capability. An interface is provided to the user,
which gives full access to the data.
The DCIM user’s challenge is to decide upon the specific
reports needed to run their business. The tool to create these
reports is less important than the specific data center reports
that the vendor includes in its offering out of the box.
The second approach is for the DCIM vendor to include a
canned set of data center business management reports that
are known to be of value to data center professionals. These
canned reports are typically supplied in a library of reports,
arranged in logical categories for ease of access. Predefined
reports are extremely valuable to the end user not only in
saving the effort that would have to go into writing custom
reports, but also in exposing aspects of the system that the
end user may not even know exist. Furthermore, there is sig-
nificant value in having predefined reporting templates that
can be used as a starting point for a customized report.
Dashboards
Dashboards, like reports, are a way of understanding vast
amounts of information — but in a graphical format. They can
be considered the at-a-glance version of a report and in some
cases can update dynamically.
A diverse array of dashboards is needed to manage a data
center, each with its own intended audience. Some dash-
boards can be very simple, showing raw data points or roll
ups. For example, a readout might answer the question,
“What is the total cost of data center power right now?”
Alternatively, dashboards can be much more complex,
interpreting large quantities and diverse types of data, and
presenting the result in easy-to-read indicators. An everyday
example of such an indicator would be the “check engine”

light in an automobile. It presents the simplest possible indi-
cation, but the decision to illuminate the light bulb is based
on readings from hundreds of sensors, measuring a wide vari-
ety of things.
A complex DCIM dashboard may show the growth in power
or space consumption over the previous 12 months, and go
on to project how soon the current data center will run out
of capacity. Thousands of points of time-series data may
need to be considered when creating such a representation.
Graphically it may be represented as shown in Figure 2-3.
Figure 2-3: Dashboards enable large amounts of data to be visualized
easily and in real time.
The library of dashboards included by the DCIM suite vendor
is an important metric of the chosen suite. Like reports, the
vendor’s own domain expertise and experience in managing
data centers should be captured and presented as a canned
set of dashboards ready to be used. A smoothly operating
data center has a large and diverse array of stakeholders, all
with specific metrics for which they’re accountable. They
each require a dashboard that speaks specifically to them.
Finance looks at costs of equipment, depreciation, warranty
coverage, and so on. Facilities professionals look for trends in
power and cooling consumption. IT may be looking at space
or virtualization sprawl. Each organization looks for answers
to its own needs. DCIM dashboards deliver the required infor-
mation in a form easily understood by those who need it.

Data Import and Export
When you first install a DCIM solution on an existing data
center, it must be loaded with all of the information that had
previously been collected by the ad-hoc tools (such as Excel).
Importing electronic files is preferable to manually entering
such data, as long as the existing files have a high degree of
accuracy. In most cases, a mix of import and manual entry
is used to start a DCIM project. Different DCIM vendors offer
varying degrees of intelligence in the import process (to elimi-
nate conflicts, omissions, or redundancies).
The basic import process provided by some vendors includes
predefined templates and spreadsheet examples that the cus-
tomer must then populate. All data from any existing source
must be manually massaged and then copied and pasted into
the provided spreadsheets to form the basis of the new DCIM
system. The most mature DCIM vendors offer significantly
more sophisticated solutions to the data import problem,
using advanced error-checking. These will resolve many of
the problems encountered in data importing by mapping the
source information to the DCIM package’s own data formats.
The error corrections available during the importing process
may include missing information lookup, sequential missing
data replacement, asset field deduplication, proper handling of
structured cabling range conventions, and a general ranking of
data fields based on overlapping sources.
Data import is an absolutely critical component of any DCIM
solution, because it is used at initial startup as well as ongo-
ing as more sophistication is desired. Critical new information
can be added regularly as that information becomes available.
In addition to data import, DCIM solutions also have a data
export capability, allowing DCIM data to be sent to other sys-
tems in industry standard formats such as CSV or XLS.

Chapter 3
OrganizingtheDataCenter
In This Chapter
▶ Looking at your DCIM platform
▶ Monitoring physical components
Data Center Infrastructure Management (DCIM) provides
you with the opportunity to become extremely familiar
with the physical assets of your data center. It allows you
access to information about manufacturer’s attributes as well
as detailed deployment information such as physical resource
requirements, installed location on the data center floor,
maintenance records, organizational ownership, and warranty
information. DCIM technologies keep track of this information,
which often forms the basis for major business decisions. In
addition to this fairly static information, a wealth of dynamic
information about each asset (such as temperature) is avail-
able from dozens of supporting vendors, who add comple-
mentary technologies to the main DCIM platform.
In this chapter, I describe the DCIM platform itself as well as
the instrumentation layer for the data center that supports
the DCIM system.
The Platform’s Architecture
In the early days of DCIM, people used software tools that
were already available, adapting them to various aspects of
data center organization. Tools such as Visio, AutoCAD, and
Microsoft Excel were widely used to quickly create physical
layer management solutions. The next series of data center
management tools arrived in the mid-2000s and offered very
basic feature sets, which were limited in scope and scaled to
the most modest of data centers.

30 DCIM For Dummies, Nlyte Special Edition
DCIM was still in its infancy and many of those early “DCIM”
solutions were built by data center services consultants for
their own use in the executions of their service contracts to
their existing customers. Most of these early DCIM systems
were never intended to be packaged and sold as commercial
products. When they began to be offered in the marketplace,
they were not broadly applicable but instead reflected their
developers’ specific experience and processes. Often running
on a single PC or laptop, they worked well in single-user environ-
ments, but typically didn’t scale well and only included features
that the consultant felt were important for his or her own needs.
Since 2006, those early DCIM solutions have been steadily
replaced by modern DCIM solutions, the most mature offer-
ings taking the form of web-based products that are deployed
across enterprise-class business servers. The web and all of
its communications and presentation technologies have made
possible the creation of complex data center management
applications that can be easily scaled and widely accessed
from anywhere on the Internet. Modern DCIM offerings typi-
cally scale by managing the data schema efficiently, using
commercial high-performance database repositories, deploy-
ing distributed real-time collection engines, and through the
use of separate business intelligence engines for analytics.
The Platform’s Data Model
A core component of any DCIM suite is its data storage model.
With large amounts of data coming in from a wide variety
of sources, an efficient mechanism must be included in the
DCIM suite that understands how to manage large amounts
of diverse asset and real-time metric detail. A DCIM system’s
data model must be robust enough to store data in a way that
is quickly retrievable in the context of complex analytics.
Early DCIM solutions relied on open-source SQL database
management systems, such as the community-supported
PostgreSQL. These database solutions work well for some kinds
of applications, but not so well for high volumes of data that
must be queried interactively. Commercial database manage-
ment products handle that same type of SQL storage, but at
data lookup rates that are dramatically faster than open source.
With diverse data coming in from different kinds of sources,
normalization of the data is critical to avoid confusion and

Chapter 3: Organizing the Data Center 31
enable analytics. For example, if different sensor vendors are
delivering metric data in different units, conversions will need
to be made so that the DCIM solution has to deal with only
one set of units. Furthermore, functional modules in a rack
could be numbered either from the top to the bottom or the
reverse. Once again, it doesn’t matter which way you choose,
but you have to choose one and standardize on it throughout
the entire data center.
Of course, performance is always an issue when dealing with
any computerized system. When a user is making a request of
a DCIM system, he or she wants a response to come back right
away. Nobody likes to sit in front of an unchanging screen
waiting for a response. The way data is stored has a major
impact on how quickly it can be retrieved. As a result, the
amount of time that it will take to answer user requests has a
major effect on the choice of a DCIM platform’s data model.
The Platform’s User Interface
Modern DCIM systems are web-based and operate from a
common browser. The DCIM’s graphical user interface (GUI)
must present complex information in an easy-to-understand
and easy-to-navigate fashion. The GUI is a key attribute of
any DCIM solution, because customers will often base prod-
uct adoption decisions on how intuitive the user interface
is to the user. One well-known example of an intuitive GUI is
Google Earth. A first-time user with no training can launch the
program and then, using the intuitive widgets and the cursor,
move to any desired place on the planet and zoom in down to
street level. Google Earth serves as a proof of principle that
intuitive access across vast data sets is not only possible, but
easily accomplished by millions of users.
As with any complex application, the user interface is critical.
It needs to connect a wide variety of users, operating at dif-
ferent levels, to an equally wide variety of data center assets.
The requirements placed on a DCIM system’s GUI go beyond
those in effect in Google Earth. Whereas Google Earth is an
example of one-way communication, with information travel-
ing from the database to the user, the DCIM GUI is a two-way
communication path. Not only does the user receive informa-
tion from the DCIM database, but the user can actually effect
changes in the system by moving assets or executing change
management projects.

Instrumentation: Monitoring
the Physical Components
of a System
Modern data centers are complex systems, which means that
a lot of data should be gathered regularly to provide the ever-
changing current status of the power chain, the cooling system,
the performance of the servers, and the virtualization layers, as
well as a host of other variables. All this monitoring is done by
sensors and other measurement devices that are collectively
called instrumentation. DCIM instrumentation includes a wide
range of technologies and protocols, each designed to capture
a specific kind of data that records some aspect of the status
and health of the data center. The amount of data gathered by
the instrumentation system can be impressive. In a data center
with 100 racks holding 1,000 servers, tens of thousands of read-
ings are recorded and must be stored every minute.
Temperature, humidity,
and airflow sensors
In the early days of data centers, the first items that would
later become integral parts of DCIM solutions were sensors for
environmental variables such as temperature and humidity.
Widespread adoption was a long time coming, because data
center managers didn’t see a great need for the information
provided by these sensors. However, as data centers became
larger and more complex, out-of-range values for any of these
environmental variables somewhere out on the data center
floor could lead to early failure of equipment and poor utiliza-
tion of resources.
As the need for environmental monitoring at a detailed level
became more obvious, the American Society of Heating,
Refrigerating, and Air-Conditioning Engineers (ASHRAE)
developed and published a set of guidelines for the data
center environment. ASHRAE’s recommendations on sensor
placement have been incorporated into many DCIM systems.
As a result, data center managers now have a fine-grained
view of the key variables in the data center environment and
can spot trends that need to be addressed.

Chapter 3: Organizing the Data Center 33
Environmental systems may be either wired or unwired. Wired
systems were the first to appear. Such devices are connected
to LAN ports located throughout the data center. They use
standard web and IP-enabled protocols. Because these devices
are wired, cabling can be complex and costly and their adop-
tion has been limited in scope.
Wireless environmental sensing systems bypass the complex-
ity and cost of cabling of a wired system. There are two types
of wireless systems: AC powered and battery powered. The
AC-powered systems tend to use Wi-Fi (802.11), while battery-
powered systems use some variation of Zigbee (802.15) or
active RFID.
The latest generation of battery-powered wireless monitoring
devices is a valid alternative to the AC-powered variety. Power
limitations do limit the amount of data that can be transmitted
per unit time, but clever algorithms can squeeze a lot of infor-
mation into a relatively small number of bits transmitted. As
a result of using these devices appropriately, battery lives in
excess of three years have been claimed in some cases.
Power monitoring
All the computation being done by a data center requires a
steady supply of reliable electric power. Each equipment rack
may contain up to 40 active devices, each of which requires
power, cooling, and connectivity. The number of racks in a
data center may range from a small handful to well into the
thousands. Regardless of a data center’s size, all of its racks
must be supplied with power. This power is delivered within a
rack by a rack-based power delivery unit (PDU).
Data center managers today focus on maximizing the efficiency
of power usage. Over the past 10 or 12 years, elaborate power
distribution strategies have been developed to make the
amount of power available at any location in the data center
match the amount of power needed.
One optimization strategy is to move power more efficiently
by using higher voltages, three-phase cabling, and higher cur-
rent flows along shorter cable runs. Another is to monitor
power usage at a fine-grained (per outlet) level in real time.

DCIM provides visibility of the data center’s power chains,
which allows timely decisions to be made that will keep loads
balanced, assuring that enough power and cooling is always
available where it is needed.
Providing information to
outside applications
DCIM solutions have the capability to simultaneously provide
operational data gathered from many sources for any given
asset. Available are physical metrics such as power consump-
tion, power supply status, operational status, internal fan
speeds, and temperature readings from different places within
the device. DCIM suites enable you to consolidate all of this
logical and physical information together.
Connecting to the building
management system
Buildings today have extensive building management systems
that control power distribution, air conditioning, and other
environmental control subsystems. These building manage-
ment components fall under the expertise domain of facilities
rather than under IT but form an essential source of metric
detail for the DCIM deployment. The true promise of DCIM is
to seamlessly join the world of IT to the world of facilities. By
giving visibility of all the assets of both the IT and the facilities
worlds, DCIM’s value can be maximized. Just as an example,
a power chain consists of many links, including each server’s
power supply, the in-rack PDU, the floor-mounted PDU, and
the data center UPS, as well as the breaker panels and the
backup generators. Each of these, some from the IT world and
others from the facilities world, is a component of the total
power distribution picture, and must be considered when
making business decisions about the data center.
The building management systems hold a wealth of informa-
tion and when integrated into a DCIM suite will enable easy
monitoring of cooling resources as well as power and environ-
mental factors.

Chapter 4
DerivingValuefromDCIM
In This Chapter
▶ Examining the value of DCIM
▶ Stepping through some DCIM processes
Comprehensive Data Center Infrastructure Management
(DCIM) is a game changer for the data center, and it
is available now. In the past, management of the physical
aspects of the data center has been poorly understood. As a
result, in order to ensure resource needs would be met, the
standard solution was to overprovision everything. By supply-
ing an abundance of resources, data center managers could
be confident that they wouldn’t run out of capacity. This
worked, but as you can imagine, it was very expensive. When
space and energy costs shot up in recent years, it no longer
seemed like such a good idea to maintain substantially more
capacity than was really needed.
What Does DCIM Mean to
the C-Level Executive?
C-level executives, although each one has his or her own
specific area of responsibility, share a concern for the impact
of IT technology on the organization as a whole. They’re con-
cerned not only with the financial impact of computing but
also with its agility and how it will affect their company’s com-
petitive situation, customers, employees, and shareholders,
as well as the way the organization is perceived in the market-
place. DCIM helps with all of these concerns.

In addition to the C-level executives, people with a wide vari-
ety of roles will be affected by the introduction of DCIM into
an organization. The interests of all stakeholders should be
considered from the very beginning. It’s a good idea to make
a list.
Inefficiencies exposed
translate into savings
The whole purpose of installing a DCIM system in a data
center is to improve its efficiency of operation over time.
It does so by exposing inefficiencies in a highly visible
manner. Exposing inefficiencies is the first step toward
correcting them. Improved efficiency translates into added
value. Costs are reduced and the entire enterprise operates
more smoothly. Savings due to efficiency improvements
drop directly to the bottom line. In addition, improved
efficiency makes everybody’s job easier, but is particularly
valuable to the C-level executives who are charged with the
responsibility of directing all the major functional areas of
the enterprise.
The data center is a core asset
The data center floor holds hundreds of millions of dollars’
worth of physical assets, and billions of dollars’ worth of
information can pass through it. Your data center deserves to
be carefully managed. The catalyst that has brought about the
burgeoning adoption of DCIM is the rollup of costs due to the
resources consumed and the streamlining of data center man-
agement. The data center can now be viewed as a single capi-
tal asset, an organization’s most expensive asset with its own
budget and expected return on investment.
A wide variety of products
With DCIM, physical layer resource management is now a
reality. Everything that touches the physical layer is now
referred to as DCIM. There are a handful of vendors with full-
featured DCIM suites, each offering a comprehensive set of
features that may include some form of asset life cycle man-
agement, with instrumentation and visual representations of

Chapter 4: Deriving Value from DCIM 37
the physical assets. Supporting these DCIM suites are other
vendors that provide enhancement products that augment
and round out the DCIM suites. Examples of the products are
environmental sensors and intelligent power strips. And keep
in mind the litany of other existing management systems that
must also be integrated to maximize the value of a DCIM suite:
service desk ticketing, building management software, and
change management database repositories.
Entering into DCIM
one step at a time
CFO, CIO, and even CEO executives are now searching for
ways to proceed to the next phase in cost-effectively manag-
ing the data center. They view DCIM as the most promising
opportunity to control their IT costs. A key part of DCIM’s
contribution is producing a coordinated IT and facilities cost-
ing and service delivery model. That integrated model is the
basis of efficient, cost-effective operation.
When a data center reaches a certain size and level of com-
plexity, the manager of the facility comes to realize that the
tools that have been used so far for managing operations are
no longer up to the task. The spreadsheets and floor plan doc-
uments that have served in the past, have become unwieldy
as the data center has grown. It is at this point that managers
start to look into the possibility of installing a DCIM solution.
It’s natural to think that moving from spreadsheets to DCIM
is a big step, and indeed it is. Some fear that installing a full-
scale DCIM solution will require their company to rethink
and retool the way the data center is managed. Such folks
may also be concerned that their staff may not be up to
dealing with a new technology that is radically different
from the ad-hoc process that they are used to. Lastly, people
just hate to leave the comfort of the familiar for the chal-
lenges of the unknown. Generally, DCIM is a good move that
can create a more stable environment and a predictable
fiscal model of computing. That said, DCIM can be adopted
in phases. There is no need to make a giant leap into the
future. Instead, the data center can take a small step into
DCIM, and then when comfortable with that, take another
small step, and continue until the full value of an enterprise-
level DCIM solution is realized.

Workflow and Process
Optimization
After you have described your data center configuration
within your DCIM suite, this critical information becomes
the single highly trusted source of truth. It is now time to
think about the ways you would like to change the processes
you use in making physical changes to the production floor.
Conceptually, you program these optimized new data center
processes into your DCIM software. Your DCIM software starts
to enable and enforce the new optimized processes.
In this phase, you can also start tracking usage rates over
time. This historical data that you produce can then be used
to improve forecasting. You can also start storing real-time
data coming in from your sensors to your DCIM database,
establishing a baseline for future forecasting.
Tech Refresh
Nothing lasts forever, and that is particularly true of IT equip-
ment. As technology relentlessly follows Moore’s Law, devices
become ever smaller, faster, and more energy efficient. In many
cases, what was the most efficient solution available a year or
two ago is no longer competitive. Managers must continuously
question whether the equipment currently out on the data
center floor is making the best use of the resources it’s con-
suming. In order to do that, managers need to know exactly
what is on the data center floor and why it is there. They have
to know who “owns” each piece of equipment and what its
value is to the organizational business goals. Lastly, they need
to assure that the value to the business of having a particular
device on the floor is higher than the cost of having it there.
When cost exceeds value, it should be replaced. This is the
essence of technology refreshment. Technology refreshment
should be a continual process as obsolescence overtakes one
generation of equipment after another. In a highly optimized
data center, technology refresh is a continual process that
actually helps keep costs down.

Chapter 4: Deriving Value from DCIM 39
Strategic Planning and
IT Service Management
Integration
After you’ve installed and shaken out your new DCIM system,
you can move well beyond tactics into the realm of strategy.
You can set up multiple what-if planning scenarios for new
proposed projects, using your DCIM solution to do such
things as identifying potential failure points in the power
chain and using predictive analytics to optimize the use of
power, cooling capacity, and floor space. You also have the
ability to continuously audit devices in the data center and
identify potential errors in either the DCIM or configuration
management database. At this point, the chosen DCIM solu-
tion should be tightly integrated with existing IT service
management and change management systems and with the
change management databases. This enables a single point
of understanding over all the important functions of the data
center. With DCIM, the big picture becomes visible to all those
who are responsible for any aspect of the way the data center
affects the enterprise.

Chapter 5
TenStepstoaSuccessful
DCIMImplementation
In This Chapter
▶ Seeking successful DCIM implementation
Data Center Infrastructure Management (DCIM) systems
are comprehensive enterprise-class solutions that will
likely touch a lot of people and processes in an organization.
For the implementation of a new DCIM to be most successful,
it’ll take time and careful attention to a myriad of details. The
best approach is to break down the total job into steps and
perform those steps one step at a time, with each new step
building on the previous one.
Do Your Research
There are a lot of stakeholders who have a variety of needs.
Find out who they are and gain a good understanding of them.
This should determine what your proposed DCIM system will
deliver, rather than merely what is easy to deliver.
It pays to take advantage of the experience of others. There
are bound to be organizations similar to yours that have
already implemented DCIM systems. Talk to the people who
were involved in those efforts. Think about how their experi-
ence relates to what you envision for your own data center.

Get Buy-In from All Stakeholders
For something as central to the life of an organization as its
data center, a lot of people with a variety of roles have an
interest in the operation and performance of that data center.
In some cases, such as the IT, facilities, and finance organiza-
tions, that interest is evident. In others, such as the corporate
responsibility team and many others, the connection might
not be so obvious, but is equally important. For something
as major and potentially disruptive to the status quo as the
installation of a DCIM system to succeed requires that all
those who will be affected understand in advance what the
impact on them will be, and why this new system will be a net
benefit to the organization as a whole.
It’s important to know the needs and concerns of all the
stakeholders and to make sure that the DCIM solution that is
chosen will meet those needs and satisfy those concerns.
Set a Realistic Scope
and Schedule
If you’re considering deploying a DCIM system, you must have
some idea of what you hope such a system will do for you.
Some of these capabilities speak directly to your most impor-
tant needs, others might fall into the “nice to have” category,
and some may be of no interest to you at all. It is important
to define the prioritized list of main goals you want to accom-
plish with a DCIM system, and then view the offerings of the
various vendors with those goals firmly in mind. Don’t be
seduced by fancy features that you don’t really need. Keep
focused on your core requirements.
You also need to be realistic about the rollout schedule.
Software projects are notorious for coming in late and over
budget. Discuss timing with potential vendors. They have
experience with how long it has taken their other customers
to get up and running.

Chapter 5: Ten Steps to a Successful DCIM Implementation 43
Document Existing Processes
and Tools
Before you install a new system to maintain a data center
and its operations, document what you have and how it’s
currently being maintained. An early step in the process is to
fully document the data center assets and business processes
that are currently in use. In many cases, current operations
are poorly documented. Knowledge of critical operations
resides in the brains of responsible employees and that
knowledge tends to be transmitted verbally to new team mem-
bers. Going through the process of documenting the existing
assets and operational processes provides a big opportunity
to optimize ongoing operations.
Determine How DCIM Will
Integrate with Systems
You Already Have
You may have a wide range of isolated change management
systems, accounting systems, building management systems,
power monitoring systems, and other systems that will interact
with your new DCIM system. Remember, your DCIM system will
become one of the most strategic systems in use across your
entire computing environment, interfacing with everything else.
Integration across all of these systems, facilitated by your DCIM
suite, increases the reliability and timeliness of the data, help-
ing to align your IT operations with your business needs.
Establish a Roster of Users
The future users of your new DCIM system should be made
aware of its coming as soon as possible. Their inputs may
be valuable in guiding the decisions to be made about
system capabilities or priorities. In addition, the sooner
they see that their world will be changing, the sooner they
can acclimate themselves to the idea and be supporters,

rather than resisters, of the change. The number of users
and roles that can be dramatically affected by DCIM is stag-
gering when it is deployed as a strategic approach rather
than a tactical tool. In general, more users and their unique
use cases is better.
Select a DCIM Vendor
Deciding on a vendor is the decision point that all of the previ-
ous steps have been leading up to. The offerings of the vendors
you’re considering will vary in a number of ways. Some of these
variations will be more responsive to your needs than others.
Additionally, you need to make an assessment of how mature
each offering and vendor is.
It’s good to see how long each vendor’s solution has been
available, and how many installations they have that are simi-
lar to your own. A large installed base instills more confidence
than a small one. Vendors should be able to provide you with
contact information for existing customers so that you can
hear about the experiences of people who have already trav-
eled down the path you’re about to embark upon. Talk to
people whose data center is similar in size and topography
to yours. Make sure a proposed solution provider has experi-
ence with data centers of a size similar to yours.
A major consideration is how well each proposed solution will
integrate with systems you already have in place. Your existing
systems are already gathering data and performing operations.
Steer away from engineering project type integrations, which
are based on custom code rather than off-the-shelf integration
products or connectors.
Avoid being dazzled by vendors’ flashy demonstrations of
simple tasks. Make sure the solutions they offer provide new
levels of visibility and analysis for your world. Keep in mind
that you’re not looking for a prettier way of doing what you
already do. You’re looking for new business management
insight that will enable you to make better decisions, and
make them more quickly.

Chapter 5: Ten Steps to a Successful DCIM Implementation 45
Because the DCIM field has many entrants, many products
in the category are still developing and may provide a highly
varied set of capabilities. Make sure you buy demonstrated
capability, not the promise of a capability that will be available
in a subsequent release. The software cemetery is full of vapor-
ware that never quite made it to the status of real live commer-
cially viable products.
Of course, price is always a consideration. Make sure there
are no surprises and that prices are well defined. What is off
the shelf and what does it cost? What custom work, if any,
must be done and how will it be billed? Make sure these ques-
tions are answered definitively before you even start thinking
of proceeding.
Implement Your DCIM System
At last it is time to actually deploy the software DCIM solution
you have chosen. Everyone involved in the DCIM project should
realize that the entire process could take several months in a
very large data center, and remain patient throughout the entire
process: The value to the organization will be well worth
the wait.
Critically important, all of the information and processes from
all the sources that have previously supported the data center
must be transferred to the DCIM system, and then the original
ways must be retired and eliminated as an alternative way of
doing things. They have done their job, but from now on there
must be only one DCIM-based go-to repository for all informa-
tion about the data center. The new DCIM solution will now
perform all functions previously performed by other tools,
and hold all the information about the makeup and status of
the data center.
Train Your Users
User training is critical. You could have the most powerful
system in the world, but if your users don’t know how to use
it properly, the whole effort will have been wasted and they
will look for ways around it. Different users will require knowl-
edge of different aspects of the system, so training should

be customized to the needs of each individual. Enough time
should be devoted to training to assure that each user not
only knows how to use the system but is comfortable doing
so. After getting over the hump of learning the system, users
will look to the DCIM system as the easiest, quickest, and
most efficient way to get the information that they need. To
budget an amount of time for training, a good rule of thumb
would be to allocate a week per small group who all perform
the same job functions.
Celebrate!
Once your DCIM system is in production and things are run-
ning smoothly, take time out to recognize and reward all the
people who have contributed to the success of this major
effort. Include top management in the process. They should
be made aware of what has been achieved and how it will
boost the organization’s effectiveness. Senior management
has invested in this journey and it is critically important that
you help them understand the positive effects it is having on
the business.

WILEY END USER LICENSE
AGREEMENT
Go to www.wiley.com/go/eula to access Wiley’s
ebook EULA.

Data center infrastructure management (dcim) for dummies

More Related Content

What's hot (20)

Similar to Data center infrastructure management (dcim) for dummies (20)

More from Ryan Hadden (8)

Recently uploaded (20)

Data center infrastructure management (dcim) for dummies