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Member since Sep 21, 2016
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Overview
Current Caché system monitoring functionality provides real-time information about a Caché environment. This allows for preventative measures to be taken before system failure by highlighting specific metrics when they are at unusual or dangerous values. Additionally, diagnosis of past or current erronious events is aided by informative logs that are created by the system monitoring process.
The System Monitor Dashboard project is a successor to the current system monitoring functionality. It combines new technology and modular design to create personalized and precise monitoring of a Caché environment as well as customizeable and intuitive visulaization of collected mointoring data.
Personalized Monitoring
In its default state, the System Monitor Dashboard contains over 100 sensors that monitor many system metrics ranging from csp sessions, to shared memory usage, to global references per second. However, this set of sensors can be altered to better fit the specific monitoring requirements of a Cache environment. Users can remove currently monitored sensors and implement their own sensors using the functionality provided by the System Monitor Dashboard.
Detailed instructions regarding adding new sensors: .
Customizeable Visualization
Visualization of system metrics is heavily graphical; however, numerical displays are also provided. The default front end for the System Monitor Dashboard is composed of tabs, each of which has specific theme or function. Tab content can be altered by the user, and new tabs can be created to replace old tabs or provide additional functionality. Such alterations are encouraged and documentation detailing how to do so can be found within the app itself. It is also possible to completely rewrite the front end to create a fully customized view of system metrics.
Detailed explination of tabs and content: .
Installation
Instructions upon how to install the Sytem Monitoring Dashboard as well as the kit needed to do so can be found in the Dashboard repository on Github.