A Small Tutorial Example of Cloud Native Development

Cloud-native software development enables new practices. But it also requires them. It is a new level of working. However, putting all these new practices together requires integrating a lot of pieces.

To illustrate this new approach, I have started to develop a minimal application. Although minimal, I run it in production. Its basic function is to regularly pull out data from an air quality sensor into a cloud-based database. Together it is a few hundred lines of code.

Here are the major features of the example:

  • API programming examples (Foobot,
  • ‘Server-less’ architecture
  • Google Cloud Platform focussed
  • Continuous delivery through Google Cloud Build
  • Version control
  • Automated unit, integration and security testing
  • BigQuery
  • Continuous monitoring through StackDriver
  • Slack integration for build and run notifications
  • Secrets and credentials management in a DevSecOps world
  • Workflow for Python-based development (atom, pyenv, pytest, bandit)

You should be able to replicate this setup yourself.

More tutorial explanation is in my GitHub repository. There you can find the code as well as a more detailed explanation. In that, I dissect the full approach theme by theme, topic by topic.

Happy learning!