---
title: Test your Python deployment
linkTitle: Test your deployment
weight: 50
keywords: deploy, kubernetes, python
description: Learn how to develop locally using Kubernetes
aliases:
- /language/python/deploy/
- /guides/language/python/deploy/
---
## Prerequisites
- Complete all the previous sections of this guide, starting with [Use containers for Python development](develop.md).
- [Turn on Kubernetes](/manuals/desktop/features/kubernetes.md#install-and-turn-on-kubernetes) in Docker Desktop.
## Overview
In this section, you'll learn how to use Docker Desktop to deploy your application to a fully-featured Kubernetes environment on your development machine. This allows you to test and debug your workloads on Kubernetes locally before deploying.
## Create a Kubernetes YAML file
In your `python-docker-dev-example` directory, create a file named `docker-postgres-kubernetes.yaml`. Open the file in an IDE or text editor and add
the following contents.
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: postgres
namespace: default
spec:
replicas: 1
selector:
matchLabels:
app: postgres
template:
metadata:
labels:
app: postgres
spec:
containers:
- name: postgres
image: postgres
ports:
- containerPort: 5432
env:
- name: POSTGRES_DB
value: example
- name: POSTGRES_USER
value: postgres
- name: POSTGRES_PASSWORD
valueFrom:
secretKeyRef:
name: postgres-secret
key: POSTGRES_PASSWORD
volumeMounts:
- name: postgres-data
mountPath: /var/lib/postgresql/data
volumes:
- name: postgres-data
persistentVolumeClaim:
claimName: postgres-pvc
---
apiVersion: v1
kind: Service
metadata:
name: postgres
namespace: default
spec:
ports:
- port: 5432
selector:
app: postgres
---
apiVersion: v1
kind: PersistentVolumeClaim
metadata:
name: postgres-pvc
namespace: default
spec:
accessModes:
- ReadWriteOnce
resources:
requests:
storage: 1Gi
---
apiVersion: v1
kind: Secret
metadata:
name: postgres-secret
namespace: default
type: Opaque
data:
POSTGRES_PASSWORD: cG9zdGdyZXNfcGFzc3dvcmQ= # Base64 encoded password (e.g., 'postgres_password')
```
In your `python-docker-dev-example` directory, create a file named
`docker-python-kubernetes.yaml`. Replace `DOCKER_USERNAME/REPO_NAME` with your
Docker username and the repository name that you created in [Configure CI/CD for
your Python application](./configure-github-actions.md).
```yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: docker-python-demo
namespace: default
spec:
replicas: 1
selector:
matchLabels:
service: fastapi
template:
metadata:
labels:
service: fastapi
spec:
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,