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Difference between revisions of "Data Center Infrastructure Management (DCIM)"

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'''Data Center Infrastructure Management (DCIM)''' refers to the [[Process|processes]], [[Guideline|guidelines]], tools and [[Methodology|methodologies]] used for the provisioning, [[Governance|governance]] and overall [[Management|management]] of [[Data Center Infrastructure|data center assets and infrastructures]]. It provides a comprehensive approach to operating and maintaining an enterprise class [[Data Center|data center]] and encompasses IT resources like [[Hardware|hardware]], [[Software|software]], [[Network|networks]] and facilities, including power, cooling, lighting and overall physical infrastructure.<ref>Definition - What is Data Center Infrastructure Management (DCIM)? [https://www.techopedia.com/definition/29111/data-center-infrastructure-management-dcim Techopedia]</ref>
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== What is Data Center Infrastructure Management (DCIM)? ==
 +
'''Data Center Infrastructure Management (DCIM)''' refers to the processes, guidelines, tools, and methodologies used for the provisioning, governance, and overall management of data center assets and infrastructures. It provides a comprehensive approach to operating and maintaining an enterprise-class data center and encompasses IT resources like hardware, software, networks, and facilities, including power, cooling, lighting, and overall physical infrastructure.<ref>[https://www.techopedia.com/definition/29111/data-center-infrastructure-management-dcim Definition - What does Data Center Infrastructure Management (DCIM) Mean? ]</ref>
  
  
'''Functions of Data Center Infrastructure Management (DCIM)<ref>What are the Functions of Data Center Infrastructure Management (DCIM)? [https://datacenterfrontier.com/data-center-infrastructure-management/ Data Center Frontier]</ref>'''<br />
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== Functions of Data Center Infrastructure Management (DCIM)<ref>[https://datacenterfrontier.com/data-center-infrastructure-management/ What are the Functions of Data Center Infrastructure Management (DCIM)?]</ref> ==
DCIM bridges information across organizational silos, including Data Center Operations, Facilities, and IT teams to maximize utilization of the entire data center white space. An [[Organization|organization]] needs [[IT Service Management (ITSM)|ITSM]] and [[Business Management System (BMS)|BMS]], but DCIM is the solution that completes the toolkit to have the visibility and information you need to properly plan and deploy equipment for data center projects to support business/IT services. Simply put, data center management is not complete without a DCIM tool.<br />
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DCIM bridges information across organizational silos, including Data Center Operations, Facilities, and IT teams to maximize utilization of the entire data center white space. An organization needs ITSM and BMS, but DCIM is the solution that completes the toolkit to have the visibility and information you need to properly plan and deploy equipment for data center projects to support business/IT services. Simply put, data center management is not complete without a DCIM tool.<br />
  
 
DCIM:
 
DCIM:
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**Utilization and capacity of resources to support equipment, e.g. power, space, and cooling
 
**Utilization and capacity of resources to support equipment, e.g. power, space, and cooling
 
**Physical relationships and connectivity between equipment, down to the port level
 
**Physical relationships and connectivity between equipment, down to the port level
**Monitors, trends, and alarms on equipment and resources supporting mission critical facility
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**Monitors, trends, and alarms on equipment and resources supporting mission-critical facility
 
*Automates visual documentation (e.g. rack elevations) by providing full 3D specifications of assets with high-fidelity front and back images, exact U position, and dimensional, weight, and data and power port information
 
*Automates visual documentation (e.g. rack elevations) by providing full 3D specifications of assets with high-fidelity front and back images, exact U position, and dimensional, weight, and data and power port information
 
*Tracks workflow within the data center for physical asset moves, adds, and changes of server/network equipment
 
*Tracks workflow within the data center for physical asset moves, adds, and changes of server/network equipment
*Tracks and monitors environmental conditions, energy efficiency, and availability, and use of key resources (space, power, cooling, and network/power connections)
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*Tracks and monitors environmental conditions, energy efficiency, availability, and use of key resources (space, power, cooling, and network/power connections)
  
  
===See Also===
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== DCIM Components ==
<div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
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Basic DCIM components and functions include:
[[Data]]<br />
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*A Single Repository: One accurate, authoritative database to house all data from across all data centers and sites of all physical assets, including data center layout, with detailed data for IT, power, and HVAC equipment and end-to-end network and power cable connections.
[[Data Access]]<br />
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*Asset Discovery and Asset Tracking: Tools to capture assets, their details, relationships, and interdependencies.
[[Data Analysis]]<br />
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*Visualization: Graphical visualization, tracking, and management of all data center assets and their related physical and logical attributes – servers, structured cable plants, networks, power infrastructure, and cooling equipment.
[[Data Analytics]]<br />
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*Provisioning New Equipment: Automated tools to support the prompt and reliable deployment of new systems and all their related physical and logical resources.
[[Data Architecture]]<br />
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*Real-Time Data Collection: Integration with real-time monitoring systems to collect actual power usage/environmental data to optimize capacity management, allowing review of real-time data vs. assumptions around nameplate data.
[[Data Asset Framework (DAF)]]<br />
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*Process-Driven Structure: Change management workflow procedures to ensure complete and accurate adds, changes, and moves.
[[Data Buffer]]<br />
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*Capacity Planning: Capacity planning tools to determine requirements for future floor and rack space, power, cooling expansion, what-if analysis, and modeling.
[[Data Center]]<br />
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*Reporting: Simplified reporting to set operational goals, measure performance, and drive improvement.
[[Data Center Infrastructure]]<br />
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*A Holistic Approach: Bridge across organizational domains – facilities, networking, and systems, filling all functional gaps; used by all data center dom
[[Data Center Infrastructure Management (DCIM)]]<br />
 
[[Data Cleansing]]<br />
 
[[Data Collection]]<br />
 
[[Data Compatibility]]<br />
 
[[Data Consolidation]]<br />
 
[[Data Deduplication]]<br />
 
[[Data Delivery Platform (DDP)]]<br />
 
[[Data Description (Definition) Language (DDL)]]<br />
 
[[Data Dictionary]]<br />
 
[[Data Discovery]]<br />
 
[[Data Driven Organization]]<br />
 
[[Data Element]]<br />
 
[[Data Enrichment]]<br />
 
[[Data Entry]]<br />
 
[[Data Federation]]<br />
 
[[Data Flow Diagram]]<br />
 
[[Data Governance]]<br />
 
[[Data Health Check]]<br />
 
[[Data Hierarchy]]<br />
 
[[Data Independence]]<br />
 
[[Data Integration]]<br />
 
[[Data Integration Framework (DIF)]]<br />
 
[[Data Integrity]]<br />
 
[[Data Island]]<br />
 
[[Data Item]]<br />
 
[[Data Lake]]<br />
 
[[Data Life Cycle]]<br />
 
[[Data Lineage]]<br />
 
[[Data Loss Prevention (DLP)]]<br />
 
[[Data Management]]<br />
 
[[Data Migration]]<br />
 
[[Data Minimization]]<br />
 
[[Data Mining]]<br />
 
[[Data Model]]<br />
 
[[Data Modeling]]<br />
 
[[Data Monitoring]]<br />
 
[[Data Munging]]<br />
 
[[Data Portability]]<br />
 
[[Data Preparation]]<br />
 
[[Data Presentation Architecture]]<br />
 
[[Data Processing]]<br />
 
[[Data Profiling]]<br />
 
[[Data Proliferation]]<br />
 
[[Data Propagation]]<br />
 
[[Data Protection Act]]<br />
 
[[Data Prototyping]]<br />
 
[[Data Quality]]<br />
 
[[Data Quality Assessment (DQA)]]<br />
 
[[Data Quality Dimension]]<br />
 
[[Data Quality Standard]]<br />
 
[[Data Reconciliation]]<br />
 
[[Data Reference Model (DRM)]]<br />
 
[[Data Science]]<br />
 
[[Data Security]]<br />
 
[[Data Stewardship]]<br />
 
[[Data Structure]]<br />
 
[[Data Structure Diagram]]<br />
 
[[Data Suppression]]<br />
 
[[Data Transformation]]<br />
 
[[Data Validation]]<br />
 
[[Data Value Chain]]<br />
 
[[Data Vault Modeling]]<br />
 
[[Data Virtualization]]<br />
 
[[Data Visualization]]<br />
 
[[Data Warehouse]]<br />
 
[[Data Wrangling]]<br />
 
[[Data and Information Reference Model (DRM)]]<br />
 
[[Data as a Service (DaaS)]]<br />
 
[[Database (DB)]]<br />
 
[[Database Design]]<br />
 
[[Database Design Methodology]]<br />
 
[[Database Management System (DBMS)]]<br />
 
[[Database Marketing]]<br />
 
[[Database Schema]]<br />
 
[[Database System]]<br />
 
</div>
 
  
  
===References===
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== How DCIM Tools Work in Action<ref>[https://www.hyperviewhq.com/what-is-data-center-infrastructure-management/ How DCIM Tools Work in Action]</ref> ==
 +
Data center infrastructure management strategies vary widely and are directly tied to the data center in question. Considering all the variables at play such as the size of the data center, the equipment being used, the age of the equipment, and the requirements of the business, it is impractical to make generalizations that apply to all data centers. Looking at the following hypothetical examples can better illustrate how the process works:
 +
*If a company wants to create records of all its data center IT assets, including both the technical aspects (programs being run) and financial aspects (serial numbers), it should use strategies to analyze how the overall assets affect and relate to one another, and whether this benefits or obstructs business goals.
 +
*Another strategy involves using real-time monitoring and predictive analysis to allow data center technicians to spot problems before they occur, and then shift resources proactively in order to avoid interruptions. This approach also empowers technicians to increase resource utilization and maximize efficiency.
 +
*Environmental controls are crucial for the health of servers. DCIM tools can be used to integrate data regarding server performance and environmental conditions to create reports and models that reveal the health of the entire infrastructure and each of the constituent pieces. This allows technicians to head off potentially catastrophic failures and make minor tweaks to improve overall performance.
 +
 
 +
 
 +
== Advantages of Data Center Infrastructure Management ==
 +
DCIM provides the following advantages:
 +
*Access to accurate, actionable data generated during data center operations.
 +
*Stay informed about changes to program standards.
 +
*Facilitate asset management.
 +
*Effective forecasting and planning for space, power, and cooling capacity.
 +
*Efficiently understand the operational status of power and cooling infrastructure and environment, improving overall data center availability. *Reduce operating costs by improving energy efficiency
 +
 
 +
 
 +
== See Also ==
 +
*[[Data]]
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*[[Data Center]]
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*[[Data Center Infrastructure]]
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*[[IT Operations (Information Technology Operations)]]
 +
 
 +
 
 +
== References ==
 
<references/>
 
<references/>
 +
__NOTOC__

Revision as of 18:01, 14 March 2023

What is Data Center Infrastructure Management (DCIM)?

Data Center Infrastructure Management (DCIM) refers to the processes, guidelines, tools, and methodologies used for the provisioning, governance, and overall management of data center assets and infrastructures. It provides a comprehensive approach to operating and maintaining an enterprise-class data center and encompasses IT resources like hardware, software, networks, and facilities, including power, cooling, lighting, and overall physical infrastructure.[1]


Functions of Data Center Infrastructure Management (DCIM)[2]

DCIM bridges information across organizational silos, including Data Center Operations, Facilities, and IT teams to maximize utilization of the entire data center white space. An organization needs ITSM and BMS, but DCIM is the solution that completes the toolkit to have the visibility and information you need to properly plan and deploy equipment for data center projects to support business/IT services. Simply put, data center management is not complete without a DCIM tool.

DCIM:

  • Manages physical data center infrastructure assets, relationships, and capacity:
    • Locations of racks, servers, network, storage, and blades
    • Utilization and capacity of resources to support equipment, e.g. power, space, and cooling
    • Physical relationships and connectivity between equipment, down to the port level
    • Monitors, trends, and alarms on equipment and resources supporting mission-critical facility
  • Automates visual documentation (e.g. rack elevations) by providing full 3D specifications of assets with high-fidelity front and back images, exact U position, and dimensional, weight, and data and power port information
  • Tracks workflow within the data center for physical asset moves, adds, and changes of server/network equipment
  • Tracks and monitors environmental conditions, energy efficiency, availability, and use of key resources (space, power, cooling, and network/power connections)


DCIM Components

Basic DCIM components and functions include:

  • A Single Repository: One accurate, authoritative database to house all data from across all data centers and sites of all physical assets, including data center layout, with detailed data for IT, power, and HVAC equipment and end-to-end network and power cable connections.
  • Asset Discovery and Asset Tracking: Tools to capture assets, their details, relationships, and interdependencies.
  • Visualization: Graphical visualization, tracking, and management of all data center assets and their related physical and logical attributes – servers, structured cable plants, networks, power infrastructure, and cooling equipment.
  • Provisioning New Equipment: Automated tools to support the prompt and reliable deployment of new systems and all their related physical and logical resources.
  • Real-Time Data Collection: Integration with real-time monitoring systems to collect actual power usage/environmental data to optimize capacity management, allowing review of real-time data vs. assumptions around nameplate data.
  • Process-Driven Structure: Change management workflow procedures to ensure complete and accurate adds, changes, and moves.
  • Capacity Planning: Capacity planning tools to determine requirements for future floor and rack space, power, cooling expansion, what-if analysis, and modeling.
  • Reporting: Simplified reporting to set operational goals, measure performance, and drive improvement.
  • A Holistic Approach: Bridge across organizational domains – facilities, networking, and systems, filling all functional gaps; used by all data center dom


How DCIM Tools Work in Action[3]

Data center infrastructure management strategies vary widely and are directly tied to the data center in question. Considering all the variables at play such as the size of the data center, the equipment being used, the age of the equipment, and the requirements of the business, it is impractical to make generalizations that apply to all data centers. Looking at the following hypothetical examples can better illustrate how the process works:

  • If a company wants to create records of all its data center IT assets, including both the technical aspects (programs being run) and financial aspects (serial numbers), it should use strategies to analyze how the overall assets affect and relate to one another, and whether this benefits or obstructs business goals.
  • Another strategy involves using real-time monitoring and predictive analysis to allow data center technicians to spot problems before they occur, and then shift resources proactively in order to avoid interruptions. This approach also empowers technicians to increase resource utilization and maximize efficiency.
  • Environmental controls are crucial for the health of servers. DCIM tools can be used to integrate data regarding server performance and environmental conditions to create reports and models that reveal the health of the entire infrastructure and each of the constituent pieces. This allows technicians to head off potentially catastrophic failures and make minor tweaks to improve overall performance.


Advantages of Data Center Infrastructure Management

DCIM provides the following advantages:

  • Access to accurate, actionable data generated during data center operations.
  • Stay informed about changes to program standards.
  • Facilitate asset management.
  • Effective forecasting and planning for space, power, and cooling capacity.
  • Efficiently understand the operational status of power and cooling infrastructure and environment, improving overall data center availability. *Reduce operating costs by improving energy efficiency


See Also


References