IoT Engineering

Hands-on of lesson 9

For slides and example code, see lesson 9

Note: Do not work on this repository right away.
Create your personal copy by clicking this GitHub Classroom link.

a) Dashboard as a service, 15'

• Choose a dashboard service and a transport protocol.
• Check the API docs to understand the payload format.
• Send data "as a device" with curl or with the mqtt CLI.
• The CLI runs on the Raspberry Pi or on your laptop.

b) Glue code, 15'

• Configure & run the above TTN/ThingSpeak glue code.
• Host the code on the Raspberry Pi and on Zeit Now.
• Use curl to simulate calls from the TTN backend:

  $ curl -v http://127.0.0.1:8080/ --data '{"app_id":"fhnw-iot","dev_id":"fhnw-iot-arduino-1","payload_raw": "FwAqAA=="}' # Base64

• Replace 127.0.0.1:8080 with your Zeit Now URL.

c) Docker hosted dashboard, 15'

• Install Docker on your computer (not Raspberry Pi).
• Run InfluxDB and run/create a Grafana dashboard.
• Run Telegraf to get data from test.mosquitto.org.
• Send data "as a device" with mqtt, to Mosquitto.

Submitting results

• Commit and push local changes to your repository.
• Want a review? Create an issue, mention me (@tamberg).

Tools

Git

On your computer

• In the hands-on repository fork for your class, in README.md, click the GitHub Classroom link.
• Once you accept the assessment, you get a personal, private repository URL for your USER_NAME:

  http://github.com/fhnw-iot-CLASS/fhnw-iot-work-09-USER_NAME

On your computer or Raspberry Pi

• Clone the repository

  $ cd ~
  $ git clone REPO_URL

• Add a file

  $ git add FILE

• Commit changes

  $ git commit FILE -m "Fixed all bugs"

• Push changes

  $ git push

Wiki

• IoT Engineering Wiki

Support

• IoT Engineering Slack