Part 1 - dotnet vs python vs node - temperature emission - who is cooler?
Part 2 - Developing modules
Part 3 - Custom Containers using Apache Nifi
Part 4 - Custom Module using TimescaleDB
Part 5 - Custom Module using Grafana
This is part 4 in a series starting here that runs through building an Azure IOT Edge solution. This post will run through setting up TimescaleDB to store data published from the dotnet, python and node temperature modules.
The code is located at: https://github.com/chrismckelt/edgy
TimescaleDB: An open-source database built for analysing
time-series data with the power and convenience of
SQL — on premise, at the edge or in the cloud.
1. add the custom module
2. add the section to the deployment file
Expose the internal port 5432 that TimescaleDB uses to 8081 for external container use
3. create the docker file
4. create the database, login and schema
Now we have data being saved into the database we can move onto displaying it visually via Grafana in the next post.