Data forwarders rely on one of the following means :
file monitoring
pipe monitoring
network port monitoring
settings/registry monitoring
etc.
However there are some  protocols that also exchange data, ftp, ssh, http and although they are over network ports, they have to be filtered.
Instead take for example ssh, if there were a daemon that could forward relevant information on a remote computer via ssh, then we don't need a data forwarder on the remote machine and the footprint of the forwarder will be even smaller. A forwarder's reachability of data can be considered to be expanded by ssh data forwarders.
Now let us consider ssh forwarder code. This may be set up as a listener script so that on all incoming connections using a particular login, we echo the relevant data back. In this case, the script is as small as a bash script that can read up and spew out the relevant data as a response to the incoming connection and close the connection.
Since the data is forwarded only on ssh connection, this model works well with monitoring mechanisms that can periodically poll. Most monitoring mechanisms are setup as publisher subscriber model or polling model.
The SSH connections have the additional benefit that they are generally considered more secure than the the TCP connections because the data is not in the clear. Furthermore, the script deployed to the remote computer follows the usual mechanisms for securing this access. Hence it is likely to meet up with less resistance in deployment. On the other hand, consider the installation of a binary as part of product package on the remote machine. That may take a lot of questions in some cases such as licensing, fees etc.
Lastly, the commands to determine the data to be forwarded and sending it are typical shell commands and there is a more transparency in what script is deployed.
#codingexercise
Decimal GetEvenNumberRangeMax(Decimal [] A)
{
if (A == null) return 0;
Return A.EvenNumberRangeMax ();
}
#codingexercise
Decimal GetEvenNumberRangeMean(Decimal [] A)
{
if (A == null) return 0;
Return A.EvenNumberRangeMean ();
}