Not only human performance is monitored but also the system performance. The system consists of a couple of raspberry PI minicomputers, 2 x 433mhz rfxcom antenna’s and about 30 hue lamps connected to 2 hue bridge. The hue lamps, wireless switches and motion sensors are polled every minute for reachability. The system will alert me if something is failing and I can take action (but it honestly doesn’t happen very often). he info on this page reflects only part of the data that is being logged but will give you a pretty good impression.
| Device | CPU Temperature | CPU Usage | Memory usage | Data TX | Data RX | Last reboot |
| CPU Attic | NULL °c | NULL % | NULL % | NULL mb | NULL mb | 2021-02-27 02:03:27 |
| CPU Util | 47 °c | 5 % | 4 % | NULL mb | NULL mb | 2021-02-27 02:01:38 |
| CPU Study | 71 °c | 55 % | 14 % | NULL mb | NULL mb | 2021-02-27 02:02:45 |
| CPU Garage | 50 °c | 76 % | 4 % | NULL mb | NULL mb | 2021-02-27 02:02:38 |
| CPU Zigbee | 44 °c | 99 % | 12 % | NULL mb | NULL mb | 2021-02-27 21:10:48 |
| CPU VPN | 56 °c | 2 % | 11 % | NULL mb | NULL mb | 2021-02-27 02:04:14 |
| CPU VPN | 56 °c | 2 % | 11 % | NULL mb | NULL mb | 2021-02-27 02:04:14 |
Raspberry CPU temperature is not only influenced by workload but the ambient temperature has a big influence I noticed.
All the lamps and switches are polled every minute for their reachability. Usually the score will be a 100%.
Sometimes when by accident a plug is pulled then the score will be lower. In that case an alert will be sent.