How SysTrack Works
Proprietary Data Collection/Aggregation Technology
SysTrack is based on its patented DataMine™ technology, which deploys a very light weight
agent to desktop and server systems. The agent collects thousands of data points every 15
seconds and leverages a myriad of available public and private APIs along with proprietary
functions to do so.
The data is kept locally on the monitored system and the SysTrack agent
shares a representative and relevant summary of the data with a centralized server called
the Master Server once per day with minimal network impact. The Master Server is leveraging
a SQL Server infrastructure as a central data repository.
SysTrack includes a collection of analytics tools and visualizers that can thought of as
sitting on top of DataMine™.
These tools track which specific data are stored on the central database and which
data live on the monitored system. Typically, the data on the monitored system is
more granular and SysTrack can always access them if needed. This distributed
architecture allows SysTrack to be highly scalable and it provides a true big
data solution that does not require massively parallel computing clusters
to analyze the data.
Massively Scalable Technology
For large deployments, multiple master servers can be configured to work in unison
and share data in a tree-like architecture that provides unprecedented scalability.
Lakeside’s largest customers currently manage production deployments with well over
300,000 monitored systems, resulting in about 100,000,000 collected data points per second.
The majority of the collected data is intended to provide deep insights into the
operational health of the monitored system and to help IT organizations provide
the best user experience to their users and the businesses they support.
How SysTrack Works
SysTrack Workspace Analytics