containers:
        - name: fastapi-service
          image: DOCKER_USERNAME/REPO_NAME
          imagePullPolicy: Always
          env:
            - name: POSTGRES_PASSWORD
              valueFrom:
                secretKeyRef:
                  name: postgres-secret
                  key: POSTGRES_PASSWORD
            - name: POSTGRES_USER
              value: postgres
            - name: POSTGRES_DB
              value: example
            - name: POSTGRES_SERVER
              value: postgres
            - name: POSTGRES_PORT
              value: "5432"
          ports:
            - containerPort: 8001
---
apiVersion: v1
kind: Service
metadata:
  name: service-entrypoint
  namespace: default
spec:
  type: NodePort
  selector:
    service: fastapi
  ports:
    - port: 8001
      targetPort: 8001
      nodePort: 30001
```

In these Kubernetes YAML file, there are various objects, separated by the `---`:

- A Deployment, describing a scalable group of identical pods. In this case,
  you'll get just one replica, or copy of your pod. That pod, which is
  described under `template`, has just one container in it. The
  container is created from the image built by GitHub Actions in [Configure CI/CD for
  your Python application](configure-github-actions.md).
- A Service, which will define how the ports are mapped in the containers.
- A PersistentVolumeClaim, to define a storage that will be persistent through restarts for the database.
- A Secret, Keeping the database password as an example using secret kubernetes resource.
- A NodePort service, which will route traffic from port 30001 on your host to
  port 8001 inside the pods it routes to, allowing you to reach your app
  from the network.

To learn more about Kubernetes objects, see the [Kubernetes documentation](https://kubernetes.io/docs/home/).

> [!NOTE]
>
> - The `NodePort` service is good for development/testing purposes. For production you should implement an [ingress-controller](https://kubernetes.io/docs/concepts/services-networking/ingress-controllers/).

## Deploy and check your application

1. In a terminal, navigate to `python-docker-dev-example` and deploy your database to
   Kubernetes.

   ```console
   $ kubectl apply -f docker-postgres-kubernetes.yaml
   ```

   You should see output that looks like the following, indicating your Kubernetes objects were created successfully.

   ```console
   deployment.apps/postgres created