The setup files are copied directly from airflow's repo and modified to fit the requirements.

1. An EKS Cluster.
2. Spot Managed Nodes on EKS Cluster with following setup:
   a. Label lifecycle: Ec2Spot.
   b. Taints spotInstance: true:PreferNoSchedule.
   c. InstancesDistribution as spotAllocationStrategy: capacity-optimized.
   d. Note: Without Spot Nodes, Jobs will run in OnDemand Nodes.
3. An ECR Repo to Push Airflow Docker Images.

1. Navigate to scripts\docker directory and build the Docker Image using docker build -t <ECR-uri:tag> .
2. Push the image the ECR Repo using docker push <ECR-uri:tag>
3. set the following environment variables on your terminal :
   a. export AOK_AIRFLOW_REPOSITORY=<ECR-uri>. \
4. Navigate to scrips\kube directory and run the ./deploy.sh to deploy the kubernetes infrastructure for airflow.
5. Obtain the airflow URL by running kubectl get svc -n airflow
6. Log in the airflow using the above URL with eksuser as user and ekspassword as password.
7. On your terminal, run kubectl get nodes --label-columns=lifecycle --selector=lifecycle=Ec2Spot to get a list of EC2.
8. On your terminal, run kubectl get pods -n airflow -w -o wide.
9. Trigger one of the DAGs in Airflow console to see the pods triggered for the job in airflow console.
10. On your terminal, verify the pods are getting triggered in the same spot nodes with label lifecycle: Ec2Spot as in step 7.