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Munin - Trac
Munin the monitoring tool surveys all your computers and remembers what it saw. It presents all the information in graphs through a web interface. Its emphasis is on plug and play capabilities. After completing a installation a high number of monitoring plugins will be playing with no more effort.
Using Munin you can easily monitor the performance of your computers, networks, SANs, applications, weather measurements and whatever comes to mind. It makes it easy to determine "what's different today" when a performance problem crops up. It makes it easy to see how you're doing capacity-wise on any resources.
Munin uses the excellent RRDTool (written by Tobi Oetiker) and the framework is written in Perl, while plugins may be written in any language. Munin has a master/node architecture in which the master connects to all the nodes at regular intervals and asks them for data. It then stores the data in RRD files, and (if needed) updates the graphs. One of the main goals has been ease of creating new plugins (graphs).
Cacti: The Complete RRDTool-based Graphing Solution
Cacti is a complete network graphing solution designed to harness the power of RRDTool's data storage and graphing functionality. Cacti provides a fast poller, advanced graph templating, multiple data acquisition methods, and user management features out of the box. All of this is wrapped in an intuitive, easy to use interface that makes sense for LAN-sized installations up to complex networks with hundreds of devices.
RRDtool - About RRDtool
RRDtool is the OpenSource industry standard, high performance data logging and graphing system for time series data.
Ganglia and Nagios, Part 2: Monitor enterprise clusters with Nagios
This is the second article in a two-part series that looks at a hands-on approach to monitoring a data center using the open source tools Ganglia and Nagios. In Part 2, learn how to install and configure Nagios, the popular open source computer system and network monitoring application software that watches hosts and services, alerting users when things go wrong. The article also shows you how to unite Nagios with Ganglia (from Part 1) and add two other features to Nagios for standard clusters, grids, and clouds to help with monitoring network switches and the resource manager.
Ganglia and Nagios, Part 1: Monitor enterprise clusters with Ganglia
This is the first article in a two-part series that looks at a hands-on approach to monitoring a data center using the open source tools Ganglia and Nagios. In Part 1, see how to install and configure Ganglia, the scalable, distributed monitoring system for high-performance clusters based on a hierarchical design. Also learn how to add more monitoring capability by writing Ganglia plug-ins and by enabling external-source spoofing.
The Art of Capacity Planning | O'Reilly Media
Web-based companies live or die by the ability to scale their infrastructure to accommodate increasing demand. This book is a hands-on and practical guide to planning for such growth, with many techniques and considerations to help you plan, deploy, and manage web application infrastructure. Written by the manager of data operations for the world-famous photo-sharing site Flickr.com, the author offers advice based on years of valuable experience.
Nagios: The Leader and Industry Standard in Enterprise System, Network, and Application Monitoring
Getting Started with Java Management Extensions (JMX): Developing Management and Monitoring Solutions
The Java Management Extensions (JMX) API is a standard —developed through the Java Community Process (JCP) as JSR 3—for managing and monitoring applications and services. It defines a management architecture, design patterns, APIs, and services for buildi
Monitoring and Managing Tomcat Clusters Using JMX
The latest version of the Tomcat 5 servlet container provides built-in support for monitoring server components using the Java Management Extensions (JMX) API. This article concentrates on the clustering and load balancing components, and provides an over
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