MAKER SPACE VMworld #5546U User Instructions
Get your gear on Amazon!
Raspberry Pi 3 B+:
NOOBS SD Card
BMP280 Circuit Connection
VCC: PIN 4 (5V)
GND: PIN 6
SCK: PIN5 (SCL1)
SDI: PIN 3(SDA1)
Power up and connect Raspberry PI
Connect power to your Raspberry PI using the USB Cable provided via your laptop.
Connect using putty (ssh port 22)
Find IP address on the label next to your PI
User ID: pi, Password: makerspace
Install Pulse Agent and Liota
This step copies the necessary files and starts installation process.
Type: <sudo su – root> to give root privileges on the Raspberry Pi
Type: <cd /home/pi/makerspace>
When prompted for “Enter your Edge System Name Without Spaces”, type your name and hit enter, so your edge system can be uniquely identified
When Prompted for Passphrase, type <makerspace> and hit enter
You will see the following message, indicating successful installation
Fri Aug 17 08:48:11 PDT 2018 : Installation successful
Fri Aug 17 08:48:11 PDT 2018 : Run /opt/ice-client/iotcc to register the Edge System
Start Pulse Agent, Liota and Onboard Gateway to Pulse
This step completes the installation and starts Pulse agent, Liota and onboards the gateway with Pulse.
Type: cd /opt/ice-client and press enter.
Type: ./iotcc and press enter
When prompted for userID: type <iottech> and press enter
When prompted for password, type <Password1!> and press enter.
Note P is upper case. At this point, you will see a message indicating that Pulse and Liota have started The Raspberry PI is now onboarded to Pulse
Load and Run Liota Script to Collect Metrics
This step copies the Liota User Package to the Liota Folder, registers the Package with Liota daemon to gather the metrics. wavefront_device.py is the UDM (user defined method) that collects the metrics.
cp solution/start_solution.py /usr/lib/Liota/packages/
cp wave.sh /usr/lib/Liota/packages/
Now you have copied the metrics collector package to the Liota folder and loaded it into Liota using the wave.sh script
tail –f Liota.log to see if the metrics from BMP280 are being collected
The Metrics are now sent to Wavefront
You can also read more about how this lab uses Wavefront here