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Deploying Front-End with Kubernetes

1. Introduction

Kubernetes is an open-source platform designed to automate deploying, scaling, and operating application containers. This lesson focuses on how to deploy a front-end application using Kubernetes, covering the essential concepts, tools, and processes involved.

Key Concepts

  • Containerization: Packaging your application and its dependencies into a container.
  • Orchestration: Managing the lifecycle of containers using Kubernetes.
  • Microservices: Designing your application as a collection of loosely coupled services.

2. Prerequisites

Before deploying your front-end application with Kubernetes, ensure you have the following:

  1. Basic knowledge of Docker and Kubernetes.
  2. A Kubernetes cluster (can use Minikube or a cloud provider).
  3. kubectl command-line tool installed.
  4. Docker installed on your local machine.
  5. Your front-end application codebase ready for deployment.

3. Kubernetes Architecture

Kubernetes architecture consists of several key components:

  • Master Node: Controls the Kubernetes cluster.
  • Worker Nodes: Run the application containers.
  • Pod: The smallest deployable unit in Kubernetes.
  • Service: Exposes a set of Pods as a network service.

Flowchart of Kubernetes Deployment Process


                graph TD;
                A[Code Commit] --> B[Build Docker Image];
                B --> C[Push to Docker Registry];
                C --> D[Deploy to Kubernetes Cluster];
                D --> E[Service Exposed];
            

4. Deployment Steps

Follow these steps to deploy your front-end application:

  1. Dockerize Your Application: Create a Dockerfile in your front-end project directory.
  2. Example Dockerfile:

    
    FROM node:14 AS build
    WORKDIR /app
    COPY package*.json ./
    RUN npm install
    COPY . .
    RUN npm run build
    FROM nginx:alpine
    COPY --from=build /app/build /usr/share/nginx/html
    EXPOSE 80
    CMD ["nginx", "-g", "daemon off;"]
                    
  3. Build the Docker Image:
    docker build -t your-username/your-app-name:latest .
  4. Push the Image to Docker Hub:
    docker push your-username/your-app-name:latest
  5. Create Kubernetes Deployment: Use the following YAML file to define your deployment.
    
    apiVersion: apps/v1
    kind: Deployment
    metadata:
      name: your-app-name
    spec:
      replicas: 3
      selector:
        matchLabels:
          app: your-app
      template:
        metadata:
          labels:
            app: your-app
        spec:
          containers:
          - name: your-app
            image: your-username/your-app-name:latest
            ports:
            - containerPort: 80
                    
  6. Apply the Deployment:
    kubectl apply -f deployment.yaml
  7. Create a Service: Expose your deployment using a service.
    
    apiVersion: v1
    kind: Service
    metadata:
      name: your-app-service
    spec:
      type: LoadBalancer
      ports:
      - port: 80
        targetPort: 80
      selector:
        app: your-app
                    
  8. Access Your Application: Get the external IP of your service.
    kubectl get services

5. Best Practices

Follow these best practices for a successful deployment:

  • Use multi-stage builds in Docker to reduce image size.
  • Implement health checks to ensure your application is running smoothly.
  • Utilize resource limits to prevent excessive resource usage.
  • Keep your images up to date and regularly scan for vulnerabilities.

6. FAQ

What is Kubernetes?

Kubernetes is an open-source container orchestration platform for automating deployment, scaling, and management of containerized applications.

What are Pods in Kubernetes?

A Pod is the smallest deployable unit in Kubernetes that can contain one or more containers.

How do I scale my application in Kubernetes?

You can scale your application by adjusting the 'replicas' field in your deployment YAML file or by using the `kubectl scale` command.