Now that we have a robust codebase for gathering data from a computer and reporting it over a HTTP interface, it’s time to start logging and analyzing this data. We need to create a central aggregation process that connects to each of the sensors and pulls the data down. Such a process would allow us to observe correlations between different sensors at the same time as well as trends over time.
To begin with, we’ll need to create a new Python package. It doesn’t make sense for us to distribute all the code for the aggregation process along with the data collection code; we expect ...
