Data Center Infrastructure Management (DCIM) - Revision history

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← Older revision		Revision as of 15:13, 20 July 2023
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	*[[Data Center Infrastructure]]		*[[Data Center Infrastructure]]
	*[[IT Operations (Information Technology Operations)]]		*[[IT Operations (Information Technology Operations)]]
		+	*[[Advanced Server Energy Monitoring Tools]]

@@ Line 1: / Line 1: @@
-'''Data Center Infrastructure Management (DCIM)''' refers to the processes, guidelines, tools, and methodologies used for the provisioning, governance, and overall 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>
+== What is Data Center Infrastructure Management (DCIM)? ==
-'''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 />
+== 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 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 />
+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:
@@ Line 12: / Line 13: @@
 **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 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)
-'''How DCIM Tools Work in Action<ref>How DCIM Tools Work in Action [https://www.hyperviewhq.com/what-is-data-center-infrastructure-management/ Hyperview]</ref>'''<br />
+== DCIM Components ==
 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 their datacenter [[IT Asset (Information Technology Asset)|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.
+*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.
-===See Also===
+== Advantages of Data Center Infrastructure Management ==
-<div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
+DCIM provides the following advantages:
 *[[IT Operations (Information Technology Operations)]]
-===References===
+== References ==
 <references/>

@@ Line 26: / Line 26: @@
 <div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
 *[[IT Operations (Information Technology Operations)]]
 </div>

@@ Line 25: / Line 25: @@
 ===See Also===
 <div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
 *[[Data]]
 *[[Data Analysis]]
 *[[Data Analytics]]
 *[[Data Architecture]]
 *[[Data Cleansing]]
 *[[Data Compatibility]]
@@ Line 46: / Line 42: @@
 *[[Data Reference Model (DRM)]]
 *[[Data Security]]
 *[[Data Visualization]]
 *[[Data Warehouse]]

@@ Line 1: / Line 1: @@
-'''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>
+'''Data Center Infrastructure Management (DCIM)''' refers to the processes, guidelines, tools, and methodologies used for the provisioning, governance, and overall 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>
 '''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 />
-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 />
+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 [[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 />
 DCIM:
 *Manages physical data center infrastructure assets, relationships, and capacity:
-**Locations of racks, servers, [[network]], storage, and blades
+**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
+**Physical relationships and connectivity between equipment, down to the port level
-**Monitors, trends, and alarms on equipment and resources supporting [[mission]] critical facility
+**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 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)
+*Tracks and monitors environmental conditions, energy efficiency, availability, and use of key resources (space, power, cooling, and network/power connections)
 '''How DCIM Tools Work in Action<ref>How DCIM Tools Work in Action [https://www.hyperviewhq.com/what-is-data-center-infrastructure-management/ Hyperview]</ref>'''<br />
-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:
+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 their datacenter [[IT Asset (Information Technology Asset)|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|business goals]].
+*If a company wants to create records of all their datacenter [[IT Asset (Information Technology Asset)|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 predicative 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.
+*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.

@@ Line 25: / Line 25: @@
 ===See Also===
 <div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
-[[Data]]<br />
+*[[Data]]
-[[Data Access]]<br />
+*[[Data Access]]
-[[Data Analysis]]<br />
+*[[Data Analysis]]
-[[Data Analytics]]<br />
+*[[Data Analytics]]
-[[Data Architecture]]<br />
+*[[Data Architecture]]
-[[Data Asset Framework (DAF)]]<br />
+*[[Data Asset Framework (DAF)]]
-[[Data Buffer]]<br />
+*[[Data Buffer]]
-[[Data Center]]<br />
+*[[Data Center]]
-[[Data Center Infrastructure]]<br />
+*[[Data Center Infrastructure]]
-[[Data Center Infrastructure Management (DCIM)]]<br />
+*[[Data Cleansing]]
-[[Data Cleansing]]<br />
+*[[Data Compatibility]]
-[[Data Collection]]<br />
+*[[Data Governance]]
-[[Data Compatibility]]<br />
+*[[Data Integration]]
-[[Data Consolidation]]<br />
+*[[Data Management]]
-[[Data Deduplication]]<br />
+*[[Data Mining]]
-[[Data Delivery Platform (DDP)]]<br />
+*[[Data Monitoring]]
-[[Data Description (Definition) Language (DDL)]]<br />
+*[[Data Munging]]
-[[Data Dictionary]]<br />
+*[[Data Portability]]
-[[Data Discovery]]<br />
+*[[Data Quality]]
-[[Data Driven Organization]]<br />
+*[[Data Reference Model (DRM)]]
-[[Data Element]]<br />
+*[[Data Security]]
-[[Data Enrichment]]<br />
+*[[Data Transformation]]
-[[Data Entry]]<br />
+*[[Data Visualization]]
-[[Data Federation]]<br />
+*[[Data Warehouse]]
 </div>

← Older revision		Revision as of 16:25, 7 January 2020
Line 14:		Line 14:
	*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)		*Tracks and monitors environmental conditions, energy efficiency, and availability, and use of key resources (space, power, cooling, and network/power connections)
		+
		+
		+	'''How DCIM Tools Work in Action<ref>How DCIM Tools Work in Action [https://www.hyperviewhq.com/what-is-data-center-infrastructure-management/ Hyperview]</ref>'''<br />
		+	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 their datacenter [[IT Asset (Information Technology Asset)\|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\|business goals]].
		+	*Another strategy involves using real-time monitoring and predicative 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.

← Older revision		Revision as of 16:10, 7 January 2020
Line 14:		Line 14:
	*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)		*Tracks and monitors environmental conditions, energy efficiency, and availability, and use of key resources (space, power, cooling, and network/power connections)
		+
		+
		+	===See Also===
		+	<div style="column-count:2;-moz-column-count:4;-webkit-column-count:4">
		+	[[Data]]<br />
		+	[[Data Access]]<br />
		+	[[Data Analysis]]<br />
		+	[[Data Analytics]]<br />
		+	[[Data Architecture]]<br />
		+	[[Data Asset Framework (DAF)]]<br />
		+	[[Data Buffer]]<br />
		+	[[Data Center]]<br />
		+	[[Data Center Infrastructure]]<br />
		+	[[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===
		+	<references/>