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Djyango Todo-app Deployment In Kubernetes

I have written this article for college miniproject.

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Anish Bista
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Djyango Todo-app Deployment In Kubernetes

Table of contents

PROBLEM STATEMENT

Here we are deploying the Todo app using GitHub, Docker, and AWS in Kubernetes.

DETAILED REQUIREMENT

  • Dockerfile

  • Docker-Image

  • AWS credential

  • AWS CLI

  • Deployment. yaml

  • Service. yaml

SOFTWARE TOOL USED

  • Github

GitHub is a web-based platform that provides a hosting service for Git repositories. It allows individuals and teams to collaborate on projects by providing version control functionality and tools for managing code repositories.

  • Docker

Docker is an open-source platform that enables developers to automate the deployment and management of applications within lightweight, isolated containers

  • Docker Registry

A Docker registry is a central repository for storing and distributing Docker images..

  • AWS

AWS stands for Amazon Web Services. It is a comprehensive cloud computing platform provided by Amazon. AWS offers a broad range of cloud services and solutions.

  • Minikube

Minikube is a tool that allows you to run a single-node Kubernetes cluster locally on your machine.

TOTAL MAN HOUR AND WORK

After solving lots of errors and I came up with a DevOps project for the Todo-app Deployment in Kubernetes. It took around 30 hours means around 8 to 10 days.

PROPOSED SOLUTION, DESIGN, IMPLEMENTATION AND CODE

  • CREATE DOCKER FILE
 FROM python:3
 RUN pip install django==3.2
 COPY . .                                                                                                                                                
 RUN python manage.py migrate
 EXPOSE 8001
 CMD ["python","manage.py","runserver","0.0.0.0:8001"]
  • Build the Docker image.

Use the docker build command to build the Docker image from the Dockerfile.

 docker build -t todo-app:latest .

Push the Docker image to a container registry

docker push anish60/project:latest
  • Create Deployment

In Kubernetes, a Deployment is an object that provides declarative updates and lifecycle management for Pods and ReplicaSets. It is a higher-level abstraction that simplifies the process of managing and scaling application deployments.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: todo-deployment
  labels:
    app: todo
spec:
  replicas: 3
  selector:
    matchLabels:
      app: todo
  template:
    metadata:
      labels:
        app: todo
    spec:
      containers:
      - name: todo
        image: anish60/project:latest
        ports:
        - containerPort: 8001

Run command kubectl apply -f deployment.yaml

  • Create service of NodePort

In Kubernetes, a Service is an abstract layer that provides network connectivity and load balancing to a set of Pods.

apiVersion: v1
kind: Service
metadata:
  name: todo-service
spec:
  type: NodePort
  selector:
    app: todo
  ports:
    - port: 8001
      targetPort: 8001
      nodePort: 30007

Run Command kubectl apply -f service.yaml

Now we have to expose our deployment and forward the service port to AWS Ec2 to access our application.

kubectl expose deployment <deployment-name> --NodePort

kubectl port-forward svc/<service-name> 8001:8001 --address 0.0.0.0 &

Now, Access your Application on http://<ec2_public_ip>:8001

Conclusion

This DevOps project can be added to Resume too. This is a real demonstration that how big companies deploy their application in Kubernetes and there is a lot of service that Kubernetes provide.