Your goal is to show how you would build, and deploy the included applications using Kubernetes and cloud-native tooling.
Your task is to accomplish the following:
- Build a small Kubernetes test cluster either locally or in the cloud. A single node is fine. Feel free to use Terraform with a cloud provider or an all-in-one tool for a local cluster
- Build Docker files for both sample applications (applications must return correct results)
- Build a deployment mechanism for these apps
- Describe a plan for continuous delivery with the specific tools/vendors you'd look at and your evaluation criteria for them
We'd like to see a repo with the following:
- A Dockerfile for each application
- Repeatable deployment mechanism for each application
- A README with the set-up process so we can run it ourselves
- A text file with a brief write-up about brief the following:
- Continuous Delivery plan for the app ecosystem
- Discussion of tools chosen, and how you would
- Well-written git commit messages to show your progress. (Hint: we can't tell if you rebase! π )
- Separate build and deploy stages in your Dockerfiles
- Automated local or cloud-based Kubernetes environment for testing
Create a new repo using your Github account with a unique name and send us the final product! If you'd prefer to make the repo private, that's fine too! When you're ready, you can add us as collaborators.
- Please do not fork or submit a PR to this repo
- Feel free to change the python application code and/or their requirements to make them more "cloud native"
- If you get stuck or need more information, please reach out for clarity
- Have fun!
Running the apps outside of a container:
pip install -r requirements.txt
sqlite3 database.db < schema.sql
python app_a.py
python app_b.py
Making a request
# Test a non-auth'd route curl http://127.0.0.1:5000/hello curl -X POST -H 'Authorization: mytoken' http://127.0.0.1:5000/jobs