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SysTrack scales. Information on thousands of systems (workstation, servers,
and thin-client servers) can be monitored from a single console. SysTrack’s
architecture was engineered with primary consideration given to producing
minimal network traffic. The key to effectively managing large volumes of data, without creating excessive
network traffic, is Lakeside's DataMine™ Distributed Database Architecture. Lakeside
holds patents #6,978,265 and #7,865,499 which ensure SysTrack is the only tool to condense
distributed information on an enterprise scale. SysTrack is also protected by patent
#7,257,692 which encompasses a powerful and unique memory leak detection algorithm
not found in other products.
SysTrack agents (remotely deployed to each system in the tree) collect detailed
user, application, and system metrics. This data is then stored in a local database.
Old data gets replaced by new at specified intervals, so there is no maintenance
headache. With less than 1% CPU overhead, you can afford to collect data on all
systems at all times. At regular intervals a tiny summary record of the collected
detailed information gets pushed up to a client server database at the next highest
level in the tree. All of the detail is preserved at the originating node and is
available when it is needed for troubleshooting. As summary data moves up the
tree, the top-level database contains information on every Windows machine
connected to your network. Communication between the master and child systems
is encrypted by default so none of the data is at risk.
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The DataMine™ Distributed Database Architecture
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SysTrack’s role based configurations allow you to add system security measures
to one or many systems quickly and easily. A role is layered on top of an existing
configuration to allow you added flexibility. For example, a laptop and Exchange
server configuration may be vastly different; both can have the same enterprise
security role layered on top for identical security tracking.
Set your base analysis point anywhere in the tree, and analyze data from that
point downward. Local support desks can manage local systems, while capacity
planners view the enterprise. Since data is collected and stored locally,
analyzing data from disconnected machines (laptops) now becomes possible.
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