In addition to the large catalog of out-of-the-box monitoring Panopta provides, you also have the ability collect your own custom metrics which may be specific to your own internal systems and applications. Panopta provides several mechanisms for collecting custom metrics.
Writing a native agent plugin allows for the most flexibility and allows for the agent to fully handle all elements of data collection. For Linux systems, plugins are written in Python. For Windows systems, plugins are written in powershell. Sample agent plugins to use as a starting point are provided for both platforms.
If you prefer to push metrics into the agent, you can register and report metrics from a command-line script. You can invoke this script from your own custom program or from a cron/scheduler. This method allows for less flexibility but can be very easy to bring to life.
You can also push custom metrics via JSON files through the Agent. You can have an external program generate files for each custom metric value which you want to have aggregated for alarming within Panopta.
You can generate Custom incidents using JSON files that allows you to push event data to Panopta. To use custom incidents, create a JSON file each time there is an incident to report and add the file to a special agent directory. For more details, see Custom incidents using JSON files.
You can also create Custom incidents using API, which provides a mechanism for your own applications to push event data to our system and leverage Panopta’s alerting and dashboard functionality.
Panopta enables you to publish custom metrics in a variety of formats across our supported platforms. As well, you can manage the meta-data for your custom metrics once they've been reported to Panopta - including name, category, unit, and type. This metadata is used throughout Panopta - in graphs, incident alerts, threshold configuration, reports, and more.
You can learn more about it here.