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JRDS

What it is Jrds is a performance collector, much like cacti or munin. But it intends to be more easy to use and able to collect a high number of machines in a very short time. It's fully written in java and avoids calling external process to increase performance. It uses RRD4J, a clone of rrdtool written in java.

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What it is Jrds is a performance collector, much like cacti or munin. But it intends to be more easy to use and able to collect a high number of machines in a very short time. It's fully written in java and avoids calling external process to increase performance. It uses RRD4J, a clone of rrdtool written in java.
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JRDS | jrds.fr Reviews

https://jrds.fr

What it is Jrds is a performance collector, much like cacti or munin. But it intends to be more easy to use and able to collect a high number of machines in a very short time. It's fully written in java and avoids calling external process to increase performance. It uses RRD4J, a clone of rrdtool written in java.

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1

Building JRDS

http://jrds.fr/building

Raquo; Building JRDS. Configure your first device. Properties in jrds.properties. JRDS authorisation and authentication. Going further with JRDS. Using graphite with JRDS. Building RRD4j and JRDS. Building extra probes (optional). Building JRDS for standalone mode. Building JRDS for usage in a application server. Java = 1.6.0 21. Ant = 1.7. You can also find another example on asyd's blog. Building RRD4j and JRDS. Don't forget to set the JAVA HOME. JAVA HOME=. export JAVA HOME. Unit test are run with.

2

Configure your first device

http://jrds.fr/configuredevice

Raquo; Configure your first device. Configure your first device. Properties in jrds.properties. JRDS authorisation and authentication. Going further with JRDS. Using graphite with JRDS. Configure your first device. Using the auto-discover feature. Via the web UI. Configure your first device. Using the auto-discover feature. Curl -o host1.xml 'http:/ localhost:8080/discover? Host=host1&discoverSnmpCommunity=public&discoverSnmpPort=161' curl -o host2.xml 'http:/ localhost:8080/discover? Via the web UI.

3

JRDS Authentication and autorization

http://jrds.fr/jrdssecurity

Raquo; JRDS Authentication and autorization. Configure your first device. Properties in jrds.properties. JRDS authorisation and authentication. Going further with JRDS. Using graphite with JRDS. JRDS Authentication and autorization. JRDS does not manage by itself the authentication, it delegates it to the web server container. The container should provide a list of roles the user belongs to. That's the information jrds uses. By default, JRDS doesn't use security. A boolean property.

4

Connected probes

http://jrds.fr/connectedprobes

Raquo; Connected probes. Configure your first device. Properties in jrds.properties. JRDS authorisation and authentication. Going further with JRDS. Using graphite with JRDS. Each connection is created using the following declaration. Connection type=Class name attr name=bean name value /attr . /connection. For example, to declare a SNMP connection:. Connection type=jrds.snmp.SnmpConnection attr name=community public /attr attr name=port 161 /attr attr name=version 2 /attr /connection.

5

download

http://jrds.fr/download

Configure your first device. Properties in jrds.properties. JRDS authorisation and authentication. Going further with JRDS. Using graphite with JRDS. To use jrds in a application server, download the war. To use it as a standalone server, download the standalone archive. For the jrds agent, http:/ jrds.fr/jrdsagent/build/jrdsagent.jar. Download.txt · Last modified: 2015/04/24 11:15 by arachne Back to top.

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The blog of EXALEAD. Category: Powered by Exalead. Inside exalead.com engine (1). November 25th, 2015 by Marketing & Co. Big Data. This post is the first of a series about EXALEAD. 8216;s web search engine activities. We’ll first introduce the engine and the team, and next posts will dive into more technical details of the problems we solved to make all of this work. Is one of the biggest web crawlers in the world, and is run by a team of 6 engineers. Team uses to index 16 billion web pages. The. We&#821...

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Open BI: Plugin : Update RRD Tool with Kettle (Cacti, MRTG …).

http://open-bi.blogspot.com/2010/04/plugin-update-rrd-tool-with-kettle.html

Open BI is dedicated to Dataprocessing, Datawarehousing and Open Source Business Intelligence. Thursday, 8 April 2010. Plugin : Update RRD Tool with Kettle (Cacti, MRTG …). This post will give you more details about my new Kettle plugin to feed RRDTools database. According to Tobias Oetiker. You can learn more about RRDTools and Tobias Oetiker. Fantastic work on his homepage HERE. The libs I used. I used JRobin, a java port of Tobias Oetiker. RRDTools. JRobin was made by the talented Sasa Markovic. The K...

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Big Data | EXALEAD Blog

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The blog of EXALEAD. Self-service apps are the future of the customer experience. July 20th, 2016 by Marketing & Co. Big Data. In customer experience field, customers are increasingly taking back the power . The goal of encouraging them to do so is obviously to create and win their loyalty. Thanks to an easier relationship with less management, firms are betting on customers to consolidate their strategy. What could they develop to make customers’ lives and easier and thus increase retention? With the se...

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Understanding Linux Load Average – Part 1 « The Dutch Prutser's Blog

https://prutser.wordpress.com/2012/04/23/understanding-linux-load-average-part-1

The Dutch Prutser's Blog. By: Harald van Breederode. About me / Contact me. Tip for screen reader users:. To find my latest post, use your screen reader navigation key to move focus to the search button then navigate to the next heading. Back to the future. Now available: Oracle Certified Master 12c Upgrade exam. Cross-platform Transportable Tablespaces made easy. Radesh Singh on Understanding Linux Load Average – Part 3. Jingtian.zjt on Understanding Linux Load Average – Part 3. Join 287 other followers.

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JRDS

Configure your first device. Properties in jrds.properties. JRDS authorisation and authentication. Going further with JRDS. Using graphite with JRDS. Jrds is a performance collector, much like cacti or munin. But it intends to be more easy to use and able to collect a high number of machines in a very short time. It's fully written in java and avoids calling external process to increase performance. It uses RRD4J. A clone of rrdtool. The currently available probes can be found here. The jrds author also ...

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