A desktop thermometer that displays relative humidity is useful, but it does not provide continuous monitoring. In comes the Raspberry Pi: it is small, inexpensive, and has many sensor options, including temperature and relative humidity. It can collect data around the clock, do some alerting, and forward data for analysis. Originally it was a project to practice Python and learn Elasticsearch, but ended up with using syslog-ng between the two. Along the way, I also learned how to regulate humidity in my room. In my talk, I plan to cover the following topics: - collecting environmental data on the Rasbperry Pi using Python - configuring Elasticsearch to work around a syslog-ng limitation - configuring syslog-ng to forward the collected data to Elasticsearch / OpenSearch - take a look at the graphs in Kibana and learn how to keep humidity low in your room