LiveDC Overview - Revision history

Jschworer at 01:16, 24 April 2019

2019-04-24T01:16:07Z

Khackenmiller: /* Our Director of LiveDC */

2015-04-01T21:17:44Z

‎Our Director of LiveDC

Khackenmiller at 15:29, 9 January 2015

2015-01-09T15:29:19Z

Khackenmiller at 20:57, 7 August 2014

2014-08-07T20:57:25Z

Khackenmiller at 20:31, 7 August 2014

2014-08-07T20:31:01Z

Khackenmiller at 19:51, 18 July 2014

2014-07-18T19:51:10Z

Khackenmiller at 14:22, 9 July 2014

2014-07-09T14:22:18Z

74.95.64.241 at 14:21, 9 July 2014

2014-07-09T14:21:02Z

Khackenmiller at 14:03, 9 July 2014

2014-07-09T14:03:25Z

Khackenmiller at 20:57, 2 July 2014

2014-07-02T20:57:03Z

← Older revision		Revision as of 01:16, 24 April 2019
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	The documentation / steps outlined in this wiki were written using Google Chrome.		The documentation / steps outlined in this wiki were written using Google Chrome.

−	You can obtain more information about LiveDC by ~~visiting [http://www.ncompass-inc.com/services/livedc-dcim/ www.ncompass-inc.com] or~~ emailing [mailto:~~livedc~~@~~ncompass-inc~~.com ~~livedc~~@~~ncompass-inc~~.com].	+	You can obtain more information about LiveDC by emailing [mailto:info@itascapoint.com info@itascapoint.com].

@@ Line 1: / Line 1: @@
 At the core of LiveDC, is the aggregation of data.  In order to do this, LiveDC utilizes four components for execution: 1) Elicit; 2) templates; 3) tags; and 4) data series.  Elicit is our data collector that resides on your network.  It is used to capture all of the critical data that will be analyzed using the LiveDC platform.
@@ Line 11: / Line 8: @@
 As you go through the setup process, you will quickly see the constant use of data series to help capture the real-time information you desire. Naming data series with clear and concise terms will be very important to help realize the full value LiveDC provides.
 ==About this Manual==

← Older revision		Revision as of 15:29, 9 January 2015
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	The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.		The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.

−	You can obtain more information about LiveDC by visiting [http://www.~~livedcnow~~.com www.ncompass-inc.com] or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].	+	The recommended browsers for LiveDC are: Google Chrome, Mozilla Firefox or Safari. Internet Explorer (IE) 9, 10 and 11 are not recommended but will allow to complete most tasks within the platform. If you are using IE we recommend you install the add-on “Chrome Frame”, which will allow IE to interpret the page similar to the way Google Chrome does.
		+
		+	The documentation / steps outlined in this wiki were written using Google Chrome.
		+
		+	You can obtain more information about LiveDC by visiting [http://www.ncompass-inc.com/services/livedc-dcim/ www.ncompass-inc.com] or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].

← Older revision		Revision as of 20:57, 7 August 2014
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	The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.		The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.

−	You can obtain more information about LiveDC by visiting [http://www.livedcnow.com www.~~livedcnow~~.com] or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].	+	You can obtain more information about LiveDC by visiting [http://www.livedcnow.com www.ncompass-inc.com] or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].

← Older revision		Revision as of 20:31, 7 August 2014
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	The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.		The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.

−	You can obtain more information about LiveDC by visiting www.livedcnow.com or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].	+	You can obtain more information about LiveDC by visiting [http://www.livedcnow.com www.livedcnow.com] or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].

@@ Line 2: / Line 2: @@
 <youtube>AFvQS1xHyDs</youtube>
-At the core of LiveDC, is the aggregation of data.  In order to do this, LiveDC utilizes four components for execution: 1) Elicit; 2) Templates; 3) Tags; and 4) Data Series.  Elicit is our data collector that resides on your network.  It is used to capture all of the critical data that will be analyzed using the LiveDC platform.
+At the core of LiveDC, is the aggregation of data.  In order to do this, LiveDC utilizes four components for execution: 1) Elicit; 2) templates; 3) tags; and 4) data series.  Elicit is our data collector that resides on your network.  It is used to capture all of the critical data that will be analyzed using the LiveDC platform.
-As data is collected, it is organized and polled via instructions provided by various templates within the platform. These templates provide the key instructions for which data is sought, how often should updated data be requested and in what format should the data be formatted after it comes into the platform.  These templates help formulate standardized re-usable polling frequency / timing, layers for maps, influences, numbers, trends, URL Scrapes and SNMP collection.  These templates are designed to help speed up the creation of data series and eliminate the possibility of errors.  This ensures that all of the data collected is formatted appropriately to meet your needs for data analysis.
+Identified, captured and tagged data in LiveDC is used by “data series” to make sense of all this disparate information. As the name implies, a data series is all the data values tracked over time, thus a series of data. The power of LiveDC comes from the aggregation of data series from all types of sources such as temperature, space, power, humidity, utilization, or manual entries. Each data series can also be combined with other data series to create higher order data series also known as a "dynamic set" for greater analysis and big data manipulation. Think of each data series as a brick in building the ultimate block of knowledge of your environment. Once data series are identified and created, LiveDC utilizes them to automatically gather the data and view the attributes through a number of mechanisms such as Maps, Graphs, and LiveTiles. Data to be utilized by LiveDC can be collected from a number of sources including, but not limited to: SNMP, HTTP, CSV, and Excel. Once the various data series are created, they can be utilized over and over for the creation of multiple LiveTiles, graphs, maps or customized analysis.
-Identified, captured and tagged data in LiveDC will be used by data series to make sense of all this disparate information.  As the name implies, a data series is all the data values tracked over time, thus a series of data. The power of LiveDC comes from the aggregation of data series from all types of sources such as temperature, space, power, humidity, utilization, or manual entries.  Each data series can also be combined with other series to create higher order data series also known as a "dynamic set" for greater analysis and big data manipulation.  Think of each data series as a brick in building the ultimate block of knowledge of your environment. Once data series are identified and created, LiveDC utilizes them to automatically gather the data and view the attributes through a number of mechanisms such as Maps, Graphs, and LiveTiles.  Data can be collected from a number of sources including, but not limited to: SNMO, HTTP, CSV, Excel and utilized within LiveDC.  Once the various data series are created, they can be utilized over and over for the creation of multiple LiveTiles, graphs, maps and or ad hoc analysis.  Leveraging "Tags" helps make it easier to aggregate the various individual data series for new grouped data series.  These can be set up in the beginning or added on the fly as you determine new needs or requirements based on business demand.
+Leveraging tags helps make it easier to aggregate the various individual data series for new grouped data series.  Tags can be set up in the beginning or added on the fly as you determine new needs or requirements based on business demand. As you will see, the quantities of data elements can grow very large depending on your needs. To assist in the use of all of this data, we have created the ability to tag data series with common names to help with capturing the right data series for the creation of dynamic sets. Tags are short labels that are easy to remember and can be easily combined with other tags to identify the various data series needed in your analysis. This provides you the power to easily search, poll, and create notifications, alerts, graphs, and LiveTiles, utilizing tags. We have built a foundational dictionary to help in the initial setup and creation of these tags. As you go through the variations of data series and their related polling types, keep in mind some of the ways you want to use the data so that a solid foundation can be set up. Every environment is unique, thus the requirement of client specific data series. To generically create data series would only help in the short term. By engaging the user to go through the data series setup process, the real power of LiveDC is realized. To assist in the basics, we have provided templates for data series to utilize so you can quickly edit and setup your environment.
-As you will see through your own experiences, the quantities of data elements can grow very large depending on your needs.  To assist in the use of all of this data, we have created the ability to "tag" data series with common names to help with capturing the right data series for the creation of dynamic sets.  Tags are short labels that are easy to remember and can be easily combined with other tags to identify the various data series needed in your analysis. This provides you the power to easily search, poll, create notifications and alerts, graphs, and LiveTiles utilizing tags.  We have built a foundational dictionary to help in the initial setup and creation of these tags.
+As you go through the setup process, you will quickly see the constant use of data series to help capture the real-time information you desire. Naming data series with clear and concise terms will be very important to help realize the full value LiveDC provides.
 ==About this Manual==

← Older revision		Revision as of 14:22, 9 July 2014
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−	====Our Director of ~~Live DC~~====	+	====Our Director of LiveDC====
	<youtube>AFvQS1xHyDs</youtube>		<youtube>AFvQS1xHyDs</youtube>

← Older revision		Revision as of 14:21, 9 July 2014
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		+	====Our Director of Live DC====
		+	<youtube>AFvQS1xHyDs</youtube>
		+
	At the core of LiveDC, is the aggregation of data. In order to do this, LiveDC utilizes four components for execution: 1) Elicit; 2) Templates; 3) Tags; and 4) Data Series. Elicit is our data collector that resides on your network. It is used to capture all of the critical data that will be analyzed using the LiveDC platform.		At the core of LiveDC, is the aggregation of data. In order to do this, LiveDC utilizes four components for execution: 1) Elicit; 2) Templates; 3) Tags; and 4) Data Series. Elicit is our data collector that resides on your network. It is used to capture all of the critical data that will be analyzed using the LiveDC platform.

← Older revision		Revision as of 20:57, 2 July 2014
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	As you go through the setup process, you will quickly see the constant use of Data Series to help get you the real-time information you desire. Naming Data Series with clear and concise terms will be very important to help realize the full value LiveDC can provide.		As you go through the setup process, you will quickly see the constant use of Data Series to help get you the real-time information you desire. Naming Data Series with clear and concise terms will be very important to help realize the full value LiveDC can provide.
		+
		+	==About this Manual==
		+	The purpose of this user manual is to provide guidance on using LiveDC. It is our assumption that the users of LiveDC have little to no knowledge of the platform.
		+
		+	You can obtain more information about LiveDC by visiting www.livedcnow.com or emailing [mailto:livedc@ncompass-inc.com livedc@ncompass-inc.com].