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Deployment Case Studies

1. Introduction

Deployment case studies provide practical insights into the deployment processes utilized in various environments. Understanding these case studies helps system administrators and DevOps engineers implement effective strategies for deploying applications on Linux systems.

2. Case Study 1: Web Application Deployment

In this case study, we will explore the deployment of a simple web application using Nginx and Docker.

Requirements

  • Linux server (Ubuntu 20.04)
  • Docker installed
  • Nginx as a reverse proxy

Steps

  1. Install Docker:
  2. sudo apt update
    sudo apt install docker.io
  3. Run the web application in a Docker container:
  4. docker run -d -p 3000:80 my-web-app
  5. Configure Nginx to reverse proxy to the Docker container:
  6. server {
        listen 80;
        server_name mydomain.com;
    
        location / {
            proxy_pass http://localhost:3000;
            proxy_set_header Host $host;
            proxy_set_header X-Real-IP $remote_addr;
            proxy_set_header X-Forwarded-For $proxy_add_x_forwarded_for;
        }
    }
  7. Restart Nginx:
  8. sudo systemctl restart nginx

3. Case Study 2: Microservices Deployment

This case study focuses on deploying a microservices architecture using Kubernetes.

Requirements

  • Kubernetes cluster (Minikube for local testing)
  • kubectl installed
  • Docker for containerization

Steps

  1. Create Docker images for each microservice:
  2. docker build -t my-service-1 ./service1
    docker build -t my-service-2 ./service2
  3. Deploy services to Kubernetes:
  4. kubectl apply -f service1-deployment.yaml
    kubectl apply -f service2-deployment.yaml
  5. Expose services using NodePort:
  6. kubectl expose deployment my-service-1 --type=NodePort --port=80
    kubectl expose deployment my-service-2 --type=NodePort --port=80

4. Best Practices

Key Takeaways

  • Use version control for deployment scripts.
  • Automate deployments with CI/CD pipelines.
  • Monitor application performance post-deployment.
  • Implement rollback strategies for failed deployments.

5. FAQ

What tools can I use for deployment automation?

Common tools include Jenkins, GitLab CI/CD, and GitHub Actions.

How do I ensure my deployment is secure?

Implement security groups, use HTTPS, and regularly update your packages.

What is the difference between continuous integration and continuous deployment?

Continuous integration focuses on automating the integration of code changes, while continuous deployment automates the release of those changes to production.