I have been using Munin to monitor the health of my Raspberry Pi for while now. As I have more devices installed in my network I was looking for a way to monitor these devices as well. As Munin uses a client-server model you are required to install the Munin node on the device to be monitored. Every five minutes the Munin server polls its clients for the values and creates charts using RRDTool.
After collecting some photovoltaic data using PikoPy and a some readings from the residential meter it was time to put everything together. The data is collected by a couple of scripts triggered by a cronjob every five minutes. $ crontab -l */5 * * * * python /home/solarpi/kostal_piko.py */5 * * * * python /home/solarpi/collect_meter.py */15 * * * * python /home/solarpi/collect_weather.py The results are then written into a SQLite database.
The first step of my plan, building a Raspberry Pi based photovoltaic monitoring solution, is finished. I created a python package that works with the Kostal Piko 5.5 inverter (and theoretically should work with other Kostal inverters as well) and offers a clean interface for accessing the data: import pikopy #create a new piko instance p = Piko('host', 'username', 'password') #get current power print p.get_current_power() #get voltage from string 1 print p.
I have been carrying my Fitbit One for a little over two years with me and it keeps tracking my daily steps. It also tracks my distance covered by multiplying those steps using the stride length which you can either provide explicitly or implicitly setting your heights. In the winter of 2012 I bought my first ~Garmin Forerunner 410~ (replaced by a Garmin Forerunner 920XT) GPS watch to help me track my running (and other outdoor) activities.
A friend of mine had a photovoltaic system (consisting of 14 solar panels) installed on his rooftop last year. As I was looking for another raspberry pi project I convinced him I would setup a reliable monitoring solution that will lead him to an access to the data in real-time data. The current setup comes with an inverter by the company Kostal. The Kostal Piko 5.5 runs an internal web server showing statistics like current power, daily energy, total energy plus specific information for each string.
I have been tracking my sleep for almost two years now using my Fitbit. I started with the Fitbit Ultra and then moved on the the Fitbit One after it came out. In October 2013 I found out about the Sleep Cycle (Link) app for the iPhone. For weeks, Sleep Cycle was listed as the best-selling health app in Germany, where currently (as of January 2014) it is in second place.
After the 2013 Berlin Marathon sold out in less than four hours, the organizers decided to alter the registration process for 2014. First there was a pre-registration phase followed by a random selection from the pool of registrants to receive a spot. Those who were selected had to register until November 11th, 2013. Any spots that were not confirmed till the 11th would be offered to pre-registered candidates according to the order in which they were randomly selected.
Two days ago the official hard-float Oracle Java 7 JDK has been announced on the official Raspberry Pi blog. Prior to this there was only the OpenJDK implementation which was lacking performance. Furterhmore the Raspberry Pi Foundation announced that future Raspbian images would ship with. Oracle Java by default. If you want to give it a spin you can install the JDK with: $ sudo apt-get update && sudo apt-get install oracle-java7-jdk
If you work a lot on the command line you are probably familiar with the top utility to see what process is taking the most CPU or memory. There’s a similar utility called htop that is much more powerful. On top of the information that top provides, htop additionally shows your usage per CPU, as well as a meaningful text graph of your memory and swap usage right at the top.
After I moved back from New Jersey in June 2008 I started to track my body weight more seriously. My routine usually consists of getting up and after finishing the morning bathroom I would step on my scale. That way I try to ensure that the condition for each weighing are as similar as possible. I recorded my weight on paper and eventually would put everything into a spreadsheet for further analysis.