DCIM tools address key challenges of IT managers by monitoring infrastructure data and enabling intelligent analysis. This allows issues like downtime and wasted resources to be addressed. DCIM tools integrate various systems to provide visibility of how all components work as an ecosystem. They help plan resource allocation, analyze historical data to improve performance, and simulate scenarios to prevent failures. Virtualization and cloud computing enhance efficiency by enabling higher power densities, focused cooling, and reducing unused servers. DCIM tools are important for reliability and monitoring infrastructure in dynamic virtualized environments. They also help predict future capacity and investment needs.
DCIM: An Integral Part of the Software Defined Data CentreConcurrentThinking
Do you know what DCIM is? Discover with Concurrent Thinking how to improve your data centre efficiency, how to overcome challenges in data centres and what the future of DCIM is.
Find out more here: http://www.concurrent-thinking.com/
Data Center Infrastructure Management (DCIM) solutions are combining best practices from facilities & IT, and are simplifying capacity management, increasing availability, and extending the life of existing data centers. But to experience these benefits, you need to choose the solution that best fits your data center. Join Viridity Software co-founder and CTO, Mike Rowan, as he discusses how DCIM software helps you manage your data center more efficiently. This webinar will include a quick demonstration of Viridity EnergyCenter and will be open to your questions.
DCIM: An Integral Part of the Software Defined Data CentreConcurrentThinking
Do you know what DCIM is? Discover with Concurrent Thinking how to improve your data centre efficiency, how to overcome challenges in data centres and what the future of DCIM is.
Find out more here: http://www.concurrent-thinking.com/
Data Center Infrastructure Management (DCIM) solutions are combining best practices from facilities & IT, and are simplifying capacity management, increasing availability, and extending the life of existing data centers. But to experience these benefits, you need to choose the solution that best fits your data center. Join Viridity Software co-founder and CTO, Mike Rowan, as he discusses how DCIM software helps you manage your data center more efficiently. This webinar will include a quick demonstration of Viridity EnergyCenter and will be open to your questions.
70% of data center outages are directly attributable to human error according to the Uptime Institute’s analysis of their “abnormal incident” reporting (AIR) database1. This figure highlights the critical importance of having an effective operations and maintenance (O&M) program. This paper describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission critical facility efficiently and reliably throughout its life cycle. Practical management tips and advice are also given.
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
A deck on Data Center challenges and how DCIM Software can help to overcome them. It also shows the origin of DCIM over the various Traditional Data Center monitoring tools and methods.
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
DCIM Software Five Years Later: What I Wish I Had Known When I Started (Case ...Sunbird DCIM
In this case study presentation from Data Center World 2018, Steve Lancaster, DCA Facilities Lead at Chevron, shared knowledge gained and lessons learned from using Sunbird DCIM to successfully optimize Chevron’s 1300+ rack data center environment. Lancaster discussed critical aspects of his DCIM journey, including what he was looking to achieve with a DCIM solution, and how he is using DCIM today to monitor data center activities and make smarter data center management decisions. He also explored how collaborating with a trusted advisor helped him achieve his objectives, areas where he expects to expand this use in the future, and what he wishes he knew when he started.
Learning simulators reflect the expertise of software programmers, technical experts and learning professionals in creating real-life workplace scenarios that require decision making on the part of the training employee. Not to be confused with e-learning or laboratory practice, these simulators offer the flexibility to address the aptitudes, tools and motivations specific for the employee’s role. By actively involving trainees and exposing them to the consequences and results of their decisions, learning is improved significantly compared to training that does not involve interactivity. This approach also improves the trainee’s motivation and confidence. Organizations benefit not only from more comprehensive employee knowledge but also heightened on-the-job employee engagement – all with less training cost and time invested.
Business sectors that see particular advantage to learning simulators are public utilities, industrial machinery, transportation, education, social services, and hotel and restaurant services. Beyond learning the processes and procedures involved and the relevant regulations and safety guidelines for the specific sector, the employee gains appropriate customer interaction skills through real-world scenarios requiring decision making and evaluation of the results of those decisions.
Schneider Electric has developed learning simulators that have proven highly successful for Ministry-level programs and for industry federations in Spain; for risk prevention programs in regional governments; and socially and environmentally sustainable practices in construction work. In these projects, Schneider Electric provided comprehensive definition, design, and technical development and production expertise to help clients realize the benefits of effective learning simulation.
The Mine Central Control Room: From Concept to Reality Schneider Electric
Presented at the 2013 Society of Mining, Metallurgy and Exploration Annual Meeting (SME 2013). The main concept of a central control room is the ability to gather and automatically transform information from different sources and mines into business decisions, centralizing and monitoring them from a single location. This central control room also acts as a complete repository of all business operations including mine planning, metrics, asset management, quality and process control, surveillance, sustainability data, emissions, energy efficiency projects, weather and more.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
How green standards are changing data center design and operationsSchneider Electric
An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Leveraging Cloud-based Building Management Systems for Multi-site FacilitiesSchneider Electric
Until recently, enterprise building management of
multiple, distributed facilities has been beyond the
budget of most organizations. New advances in Cloud
technology are now enabling enterprises to centrally
monitor, control and manage their medium and smaller
sized facilities at an affordable cost. The benefits of the
cloud facility management approach have helped to
create more productive environments for workers and
customers and also facilitated better executive
decision-making at the corporate level.
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
[Oil & Gas White Paper] Optimizing Pipeline Energy ConsumptionSchneider Electric
Effective energy management can benefit the hydrocarbon pipeline operator. Energy consumption costs – the leading expense for most operators – are rising continuously; however, the commitments needed on the part of the operator often impede implementation of energy-saving practices.
Key to effective energy management is the ability to quantify energy consumption accurately at any specific time and its cost and that of drag reducing agent (DR) use. Operators committed to energy management can implement a real-time, system-wide power optimization solution that evaluates the resource efficiency of a steady-state model of the pipeline. This solution will also perform costing runs of alternative configurations, formulated for the next energy cost rate or other ‘what if’ scenarios, in order to find the most energy-efficient alternative that maintains operational safety and integrity. Implementing these alternatives, the operator can save one percent to five percent of energy costs and reduce carbon emissions.
This advanced information management technology makes these costing considerations so practical they can become a routine, real-time operations process. Putting available information to work with this solution can make power optimization extremely realistic and highly rewarding for the company while supporting overall operational security, safety and environmental stewardship.
What is Data Center Management_ - Modius _ DCIM - Data Center Infrastructure ...hrutikeshAnpat
An organization’s set of responsibilities and operations for managing a data center is referred to as data center management.
Data centers are highly complex, with numerous moving pieces that must all operate together to serve the business and its customers. In addition, many different technical and non-technical disciplines are required for the data center to work optimally.
Data center operations managers can use DCIM software to identify quickly, locate, visualize, and manage all physical data center assets, provision new equipment, and confidently plan capacity for future growth.
As a leading Managed service provider with datacenters in India, Netmagic solutions, fulfills your entire IT infrastructure requirements: from collocation services to backup solutions.
70% of data center outages are directly attributable to human error according to the Uptime Institute’s analysis of their “abnormal incident” reporting (AIR) database1. This figure highlights the critical importance of having an effective operations and maintenance (O&M) program. This paper describes unique management principles and provides a comprehensive, high-level overview of the necessary program elements for operating a mission critical facility efficiently and reliably throughout its life cycle. Practical management tips and advice are also given.
Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.
A deck on Data Center challenges and how DCIM Software can help to overcome them. It also shows the origin of DCIM over the various Traditional Data Center monitoring tools and methods.
ScottMadden has developed an approach for analyzing data center requirements and driving improvements in existing data center retrofits. Our approach takes into account the technological requirements, the physical attributes of a data center, and the requirements for a rigorous measurement and verification program needed to ensure improvements actually capture the energy efficiently gains and the resultant greenhouse gas reductions.
Our approach addresses the latest trends in data center management such as virtualization and cloud computing and provide a framework for developing metrics needed to drive changes in data center performance.
DCIM Software Five Years Later: What I Wish I Had Known When I Started (Case ...Sunbird DCIM
In this case study presentation from Data Center World 2018, Steve Lancaster, DCA Facilities Lead at Chevron, shared knowledge gained and lessons learned from using Sunbird DCIM to successfully optimize Chevron’s 1300+ rack data center environment. Lancaster discussed critical aspects of his DCIM journey, including what he was looking to achieve with a DCIM solution, and how he is using DCIM today to monitor data center activities and make smarter data center management decisions. He also explored how collaborating with a trusted advisor helped him achieve his objectives, areas where he expects to expand this use in the future, and what he wishes he knew when he started.
Learning simulators reflect the expertise of software programmers, technical experts and learning professionals in creating real-life workplace scenarios that require decision making on the part of the training employee. Not to be confused with e-learning or laboratory practice, these simulators offer the flexibility to address the aptitudes, tools and motivations specific for the employee’s role. By actively involving trainees and exposing them to the consequences and results of their decisions, learning is improved significantly compared to training that does not involve interactivity. This approach also improves the trainee’s motivation and confidence. Organizations benefit not only from more comprehensive employee knowledge but also heightened on-the-job employee engagement – all with less training cost and time invested.
Business sectors that see particular advantage to learning simulators are public utilities, industrial machinery, transportation, education, social services, and hotel and restaurant services. Beyond learning the processes and procedures involved and the relevant regulations and safety guidelines for the specific sector, the employee gains appropriate customer interaction skills through real-world scenarios requiring decision making and evaluation of the results of those decisions.
Schneider Electric has developed learning simulators that have proven highly successful for Ministry-level programs and for industry federations in Spain; for risk prevention programs in regional governments; and socially and environmentally sustainable practices in construction work. In these projects, Schneider Electric provided comprehensive definition, design, and technical development and production expertise to help clients realize the benefits of effective learning simulation.
The Mine Central Control Room: From Concept to Reality Schneider Electric
Presented at the 2013 Society of Mining, Metallurgy and Exploration Annual Meeting (SME 2013). The main concept of a central control room is the ability to gather and automatically transform information from different sources and mines into business decisions, centralizing and monitoring them from a single location. This central control room also acts as a complete repository of all business operations including mine planning, metrics, asset management, quality and process control, surveillance, sustainability data, emissions, energy efficiency projects, weather and more.
Virtualization and Cloud Computing: Optimized Power, Cooling, and Management ...Schneider Electric
IT virtualization, the engine behind cloud computing, can have significant consequences on the data center physical infrastructure (DCPI). Higher power densities that often result can challenge the cooling capabilities of an existing system. Reduced overall energy consumption that typically results from physical server consolidation may actually worsen the data center’s power usage effectiveness (PUE). Dynamic loads that vary in time and location may heighten the risk of downtime if rack-level power and cooling health are not understood and considered. Finally, the fault-tolerant nature of a highly virtualized environment could raise questions about the level of redundancy required in the physical infrastructure. These particular effects of virtualization are discussed and possible solutions or methods for dealing with them are offered.
How green standards are changing data center design and operationsSchneider Electric
An effort is underway to harmonize certain energy-efficiency standards. Could global standardization ultimately diminish the technical effectiveness of such standards? Which will emerge as the de facto standards? This session will explore these questions, as well in data center efficiency and sustainability guidelines.
Leveraging Cloud-based Building Management Systems for Multi-site FacilitiesSchneider Electric
Until recently, enterprise building management of
multiple, distributed facilities has been beyond the
budget of most organizations. New advances in Cloud
technology are now enabling enterprises to centrally
monitor, control and manage their medium and smaller
sized facilities at an affordable cost. The benefits of the
cloud facility management approach have helped to
create more productive environments for workers and
customers and also facilitated better executive
decision-making at the corporate level.
The wide range of processes within the successful business, from planning to strategic implementation, requires accurate and ready information throughout. The cast of personnel involved across the business operation requires widely varying types of information to perform their assignments. In all, the successful business requires a powerful Business Intelligence technology.
Discussion covers the constitution and requirements of the effective Corporate Information Factory (CIF) Architecture. The Data Warehouse component of the CIF Architecture must be a flexible and reliable store of company information that allows a high degree of differentiation in data selection, modeling and analysis.
Next, the ETL processes — extract, transform and load — are responsible for accurately populating the Data Warehouse with information and enabling the use of this data. Again, differentiating methodologies, along with validating performance testing, must be accommodated.
Third, Business Intelligence tools for multi-dimensional analysis, budgeting and forecasting, efficient reporting, and data mining for enhanced insight assure the proper information is accessed for each specific business process. Developing and implementing the CIF Architecture involves definition of short-, medium-, and long-term objectives for the system as well as definition of the elements involved.
When a company implements a Business Intelligence technology, it is important that risk factors be identified and evaluated, including the scope and degree of difficulty of information integration, speed and adaptability, utility and practicality for the employee, and long-term effectiveness.
Schneider Electric Business Intelligence services are based on the company’s vast experience in helping organizations define their BI policies and develop their BI Architecture. It offers a productive competence center for consulting support, a proven product portfolio that allows efficient and effective development of specific BI solutions, and highly reliable technical assistance for specific needs or longer term. Several successful Business Intelligence technology solutions implemented by Schneider Electric are described.
[Oil & Gas White Paper] Optimizing Pipeline Energy ConsumptionSchneider Electric
Effective energy management can benefit the hydrocarbon pipeline operator. Energy consumption costs – the leading expense for most operators – are rising continuously; however, the commitments needed on the part of the operator often impede implementation of energy-saving practices.
Key to effective energy management is the ability to quantify energy consumption accurately at any specific time and its cost and that of drag reducing agent (DR) use. Operators committed to energy management can implement a real-time, system-wide power optimization solution that evaluates the resource efficiency of a steady-state model of the pipeline. This solution will also perform costing runs of alternative configurations, formulated for the next energy cost rate or other ‘what if’ scenarios, in order to find the most energy-efficient alternative that maintains operational safety and integrity. Implementing these alternatives, the operator can save one percent to five percent of energy costs and reduce carbon emissions.
This advanced information management technology makes these costing considerations so practical they can become a routine, real-time operations process. Putting available information to work with this solution can make power optimization extremely realistic and highly rewarding for the company while supporting overall operational security, safety and environmental stewardship.
What is Data Center Management_ - Modius _ DCIM - Data Center Infrastructure ...hrutikeshAnpat
An organization’s set of responsibilities and operations for managing a data center is referred to as data center management.
Data centers are highly complex, with numerous moving pieces that must all operate together to serve the business and its customers. In addition, many different technical and non-technical disciplines are required for the data center to work optimally.
Data center operations managers can use DCIM software to identify quickly, locate, visualize, and manage all physical data center assets, provision new equipment, and confidently plan capacity for future growth.
As a leading Managed service provider with datacenters in India, Netmagic solutions, fulfills your entire IT infrastructure requirements: from collocation services to backup solutions.
The project was performed on behalf of MPhasis Ltd (a Hewlett Packard Subsidiary). The project required understanding the client's existing data center infrastructure, analyzing the client's current and future needs and suggesting a low cost, optimized solution with 60% virtualization.
IDC Tech Spotlight: From Silicon To CloudJames Price
The topic of cloud computing has received a tremendous amount of attention in the last year. This whitepaper discusses some of the aspects of the delivery of IT Infrastructure as a service.
Preparing for the Future: How Asset Management Will Evolve in the Age of Smar...Schneider Electric
Most utilities struggle to organize information about their distribution network assets. Operations, engineering, accounting, and other business functions all use different tools and systems, forcing grid operators to synchronize separate databases. This paper presents an improved approach to managing grid assets by establishing a ‘single source of the truth,’ eliminating special-purpose databases, utilizing spatial databases, and incorporating a workflow management tool to support database updates.
A SURVEY ON DYNAMIC ENERGY MANAGEMENT AT VIRTUALIZATION LEVEL IN CLOUD DATA C...cscpconf
Data centers have become indispensable infrastructure for data storage and facilitating the development of diversified network services and applications offered by the cloud. Rapid
development of these applications and services imposes various resource demands that results in increased energy consumption. This necessitates the development of efficient energy management techniques in data center not only for operational cost but also to reduce the amount of heat released from storage devices. Virtualization is a powerful tool for energy
management that achieves efficient utilization of data center resources. Though, energy management at data centers can be static or dynamic, virtualization level energy management
techniques contributes more energy conservation than hardware level. This paper surveys various issues related to dynamic energy management at virtualization level in cloud data
centers.
Similar to Schneider - ASK THE EXPERT - ITNEXT (20)
A SURVEY ON DYNAMIC ENERGY MANAGEMENT AT VIRTUALIZATION LEVEL IN CLOUD DATA C...
Schneider - ASK THE EXPERT - ITNEXT
1. dossier
Aniket
Patange
Director- Profes-
sional Services,
APC Schneider
Electric, provides
proof points and
insights into why
DCIM (Data Centre
Infrastructure
Management) is
going to be critical
for IT managers
in improving the
efficiency and
reliability of data
centres
Creating
an Energy-
Efficient
Data
Centre
usingDCIM software
toolscombinedwith
virtualisationandcloud
computingmethods
3 6 itnext | J u n e 2 0 1 2
ASK THE EXPERT
Data centre infrastructure
management
How is the DCIM practice going to address the
data centre challenges of IT managers?
The data centre infrastructure is not just traditional IT
equipment and networks; it also includes power sys-
tems, air conditioning, uninterrupted power supplies
and generators, and the associated switching equip-
ment. These components are part of an ecosystem, and
any change in a component can have detrimental or
unintended impact on other components.
The key challenges of data centre managers are with
regard to downtime, wasted rack space, delayed server
deployment, wasted energy, lost man hours, operating
outside design parameters and so on. All of these result
in missed market opportunities, revised customer loyal-
ties leading to operational inefficiencies, capacity con-
straints, rise in operational cost and so on.
Data centre managers and senior IT managers have
realised that the underlying operating costs for these
infrastructures are not as clearly understood as once
thought, especially when energy consumption is brought
into the equation. The DCIM strategy will impact every-
thing from inventory and change management to capac-
ity planning and carbon footprint reporting.
DCIM enables the monitoring and collection of low-
level infrastructure data to enable intelligent analysis by
individuals with domain expertise (eg, capacity and facil-
ities planners), as well as holistic analysis of the overall
infrastructure. DCIM tools integrate facets of system
management with building and energy management,
with a focus on IT assets and the physical infrastructure
needed to support them.
How are DCIM tools enabling IT managers in
planning and cutting operational cost?
New DCIM software planning and implementation tools
such as our StruxureWare Data Centre Operation Suite
Photo:SubhojitPaul
2. 50%
or higher
would be the
virtualised
server’s
CPU utlisa-
tion when
customers go
in for virtu-
alisation to
drive energy-
efficiency
Source: Schneider
Electric Data Centre
Science Centre
3 7J u n e 2 0 1 2 | itnext
ask the expert
C U S T O M P U B L I S H I N G
improve IT room allocation of power and cooling (plan-
ning), provide rapid impact analysis when a portion of
the IT room fails (operations), and leverage historical
data to improve future IT room performance (analysis).
These tools help data centre managers to create a
dashboard, monitor and automate collection of data.
By correlating power, cooling and space resources to
individual servers, DCIM tools can proactively inform
IT management systems of potential physical infra-
structure problems and how they might impact spe-
cific IT loads. Particularly, in a highly virtualised and
dynamic cloud environment, this real-time awareness
of constantly changing power and cooling capacities is
important for safe server placement. These intelligent
tools also enable IT to inform the lines of business of the
consequences of their actions before server provision-
ing decisions are made. Business decisions that result
in higher energy consumption in the data centre, for
example, will impact carbon footprint and carbon tax.
Charge backs for energy consumption are also possible
with these new tools and can alter the way decisions are
made by aligning energy usage to business outcomes.
The DCIM Suite allows the IT manager to do an
impact analysis and also perform other “what-if” sce-
narios. For eg, the IT manager can simulate the impact
caused by taking a UPS into maintenance mode in
the software model, ie, see which PDUs, servers and
applications will be impacted if a UPS goes down. This
simulation capability allows him to take pro-active
steps to prevent failures, eg, by predicting overloads or
phase imbalances.
As a trend, by capturing environmental data at the
device level (eg, power consumed, performance levels
and BTUs generated), data centre managers can gain a
more detailed view of the environment and, thus, make
informed decisions about equipment placement, cool-
ing efficiency, power consumption and upgrades, and
capacity planning.
Can you elaborate on how the implementation
of virtualisation, consolidation and cloud
computing technologies will enhance data
centre efficiency?
Virtualisation or physical server consolidation and
movement to cloud-based technologies will help in
a) Moving towards higher power densities in racks
which leads to higher efficiencies in power utilisation
b) Creating a more focussed cooling approach as
compared to perimeter cooling—which again is more
efficient
c) Cutting operational costs (man-power, licences
and maintenance) by removing underutilised or zombie
servers.
What becomes more important in a virtualised envi-
ronment is infrastructure reliability at these higher
power densities when packed into each rack. Virtualisa-
tion also allows workloads to be dynamically moved,
started and stopped—the result can be physical loads
that change both over time and in their physical loca-
tion. Here again, the DCIM software comes in handy to
help not only in monitoring the infrastructure but also
in utilising the same in the right proportion. The key is
to integrate DCIM software with VM manager. Maintain-
ing a highly-efficient, leanly-provisioned data centre in
an environment characterised by frequent and sudden
load shifting requires a management system that works
automatically in real time with the VM manager.
How can an IT manager predict the need for
future infrastructure, investments and
roll-outs?
The StruxureWare Operation and capacity software have
the ability to help identify and eliminate stranded capac-
ity. It also presents data on the remaining capacity of the
data centre in the form of dashboards. The design and
“what-if” simulation capability of the software helps the
IT manager to extend the life span of his current data
centre. Also, it helps the IT manager to plan for future
roll-outs. Besides, enterprises with strong corporate
social responsibility programmes or robust green initia-
tives should target a PUE closer to 1.6.
“DCIMenablesthemonitoringandcollectionoflow-
levelinfrastructuredatatoenableintelligentanalysisby
individualswithdomainexpertise”
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