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52Best Practices for Spring Boot Development53Ensuring Code Quality with Lombok and SonarQube54Continuous Integration with Jenkins55Continuous Deployment with GitLab CI/CD
Tutorials/Spring Boot/Continuous Deployment with GitLab CI/CD
🍃Spring Boot

Continuous Deployment with GitLab CI/CD

Updated 2026-05-15
10 min read

Continuous Deployment with GitLab CI/CD

Introduction

Continuous Deployment (CD) is a crucial part of modern software development practices, ensuring that code changes are automatically deployed to production environments. GitLab CI/CD provides a powerful and flexible platform for implementing CD pipelines. In this tutorial, we will explore how to set up Continuous Deployment using GitLab CI/CD.

Concept

Continuous Deployment automates the process of deploying applications from your version control system directly to your production environment. This ensures that every change made to the codebase is automatically tested and deployed, reducing manual intervention and speeding up the release cycle.

GitLab CI/CD uses a .gitlab-ci.yml file to define the stages of the pipeline, including build, test, and deploy. By configuring this file, you can automate the deployment process to various environments like staging or production.

Examples

Step 1: Setting Up GitLab CI/CD

First, ensure that your project is hosted on GitLab. If not, create a new repository and push your code there.

Step 2: Create .gitlab-ci.yml

Create a file named .gitlab-ci.yml in the root of your project directory. This file will define the pipeline stages and jobs.

YAML
1stages:
2- build
3- test
4- deploy
5
6build_job:
7stage: build
8script:
9 - ./gradlew build
10
11test_job:
12stage: test
13script:
14 - ./gradlew test
15
16deploy_job:
17stage: deploy
18script:
19 - echo "Deploying to production..."
20 # Add deployment commands here, e.g., using SSH or a deployment tool
21only:
22 - main

Step 3: Define Deployment Script

In the deploy_job section of your .gitlab-ci.yml, you need to define the actual deployment script. This could involve using SSH to connect to your server and run deployment commands, or using a third-party deployment tool like Capistrano.

YAML
1deploy_job:
2stage: deploy
3script:
4 - ssh user@your-server "cd /path/to/your/app && git pull origin main"
5 - ssh user@your-server "systemctl restart your-app-service"
6only:
7 - main

Step 4: Secure Environment Variables

To keep sensitive information like SSH keys or API tokens secure, use GitLab's environment variables.

  1. Go to your project settings in GitLab.
  2. Navigate to the CI/CD section and select "Variables".
  3. Add your variables with appropriate names and values.
YAML
1deploy_job:
2stage: deploy
3script:
4 - ssh $SSH_USER@$SSH_SERVER "cd /path/to/your/app && git pull origin main"
5 - ssh $SSH_USER@$SSH_SERVER "systemctl restart your-app-service"
6only:
7 - main

Step 5: Monitor and Debug

After setting up the pipeline, monitor its execution in the GitLab CI/CD dashboard. If any job fails, review the logs for errors and adjust your configuration accordingly.

What's Next?

In this tutorial, we covered how to set up Continuous Deployment using GitLab CI/CD. For more advanced configurations, consider exploring features like multi-environment deployments, parallel jobs, and integration with other tools like Docker or Kubernetes.

For intermediate developers looking to enhance their Spring Boot applications, the next step could be learning about "Security Basics in Spring Boot," which will help you secure your application against common vulnerabilities.


PreviousContinuous Integration with JenkinsNext Security Basics in Spring Boot

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