How to Deploy a Django Application in Kubernetes Last Updated : 23 Jul, 2025 Comments Improve Suggest changes Like Article Like Report In this article, we will study how we can deploy Django web applications to Kubernetes. We will also see how to dockerize and build an image of the Django application using Dockerfile. For this article, you should know about setting up a VM in Azure. We will see how to deploy applications on Linux Server. Introduction to DjangoDjango is a Python framework for developing web applications and APIs. It is most commonly used for Content Management Systems and APIs but it also supports microservices. Django is based on Python, which allows integrations with the most used Python libraries and AI/ML libraries. Steps to Deploy Django Application in KubernetesStep 1: Create and set up a Django Project Create a new Django project or use an existing one using django-admin. For this article, you can use the project from the below link GitHub Link Once the project is done, start the project and test it in the browser python manage.py runserverHit the URL in the browser to get the desired output. If the project is working correctly, then freeze the pip modules in requirements.txt file. pip freeze > "requirements.txt"As Docker currently supports python version 3.9.19, make sure your requirements contains module versions according to python version. Step 2: Create Dockerfile and build Docker imageNow create a new Dockerfile inside root folder of project where manage.py is located.The file will look like below.FROM python:3.9.19-alpineRUN mkdir /DjangoHelloWorldWORKDIR /DjangoHelloWorldCOPY / .RUN pip install -r requirements.txtEXPOSE 8000CMD python manage.py runserver 0.0.0.0:8000In above file, we have added python image version from which the image should be built. Then we added a new project directory and copied project data to that folder.Then we have installed all modules from requirements.txt and exposed port 8000.Modify the file according to your project requirements. Once the file is ready, we can build the image using below command.docker build -t <REPOSITORY-NAME>/<IMAGE-NAME>:<TAG> .Wait for the build to be complete. If the build is successful, you can spin up a new container from image using below command. docker run -dp <hostport>:<containerport> IMAGE-NAMEIf everything is correct, you should be able to view the application in the browser. After you are satisfied with the output, kill the container. Step 3: Create Deployment configuration and deploy to KubernetesBefore going to Kubernetes, push the docker image to the docker Hub. docker push <IMAGE-NAME>Now create a new YAML file with any name. for e.g., djangohelloworld.yamlNow lets add configuration for creating Kubernetes deployments and services.apiVersion : v1kind : Servicemetadata : name : djangohelloworldspec : selector : app : djangohelloworld type : LoadBalancer ports : - port : 8000 targetPort : 8000---apiVersion : apps/v1kind : Deploymentmetadata : name : djangohelloworldspec : replicas : 1 selector : matchLabels : app : djangohelloworld template : metadata : labels : app : djangohelloworld spec : containers : - name : djangohelloworld image : deepcodr/django-hello-world ports : - containerPort : 8000 imagePullPolicy : AlwaysWe have added two set of configurations, one for service and other for deployment. We have specified kind of deployment and the metadata to be used.In the containers section, we have added port and image to be used by container. Similarly for service, we have added listening and forwarding port.Now apply the configuration using kubectl.kubectl apply -f <FILE-NAME>Check if the service and pods are created and running successfully using below commands.kubectl get svckubectl get podsStep 4: Test the applicationNow that the service and pods are running successfully, we can use the localhost IP address to test the application.If you see the result page, then the deployment is successful. Comment More infoAdvertise with us Next Article What is DevOps ? D deepcodr Follow Improve Article Tags : Kubernetes DevOps Similar Reads DevOps Tutorial DevOps is a combination of two words: "Development" and "Operations." 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