1. Create your own AWS Account to utilize during this exercise. Utilize free-tier where possible to avoid costs being charged to you, and don't forget to destroy all resources when you're done. We don't want this to cost you money :)

2. Then, create a Kubernetes cluster in AWS that hosts the Flask application (app.py) as well as a Postgres database for the application to access. HINT: You will need image(s) and files to deploy the application and database in Kubernetes. HINT2: Your image(s) will need to be accessible from within AWS.

3. Once your Flask application and Postgres database are running in Kubernetes, proceed.

4. Scale your application to 2 instances.

5. Follow instructions below for interacting with the API.

POST a message to the API:

curl -X POST http://127.0.0.1:5000/message -H "Content-Type: application/json" --data '{"message": "hi"}'

GET a message

curl http://127.0.0.1:5000/message/1

HEALTHCHECK

curl http://127.0.0.1:5000/healthcheck

If you desire to test locally to see things working there first before you put it on Kubernetes, you can follow the instructions below:

git clone https://github.com/geezerP/devops-assessment.git
cd devops-assessment
virtualenv -p python3 .
source bin/activate
pip install -r requirements.txt

If you're using a local postgres db use the following to run the app.

DATABASE_URL='postgresql://postgres:postgres@localhost:5432/groundspeed_devops' python app.py