Implementation cases of Java framework: continuous delivery pipeline construction

Introduction to the continuous delivery pipeline: an automated pipeline that takes developer code from submission to production deployment; it includes code submission, build, test, deployment and monitoring stages. Practical case: Spring Boot application: Use GitLab CI/CD, Maven/Gradle, JUnit/Mockito, Jenkins Pipeline/Kubernetes and Prometheus/Grafana for continuous delivery pipeline to implement code submission, building, testing, deployment and monitoring.

Practical case for the implementation of Java framework: Continuous delivery pipeline construction

Introduction

Continuous delivery is a software development practice that improves the speed and quality of software delivery by automating the testing and deployment process. For Java frameworks, the continuous delivery pipeline is a key component to achieve this goal.

Continuous Delivery Pipeline

The continuous delivery pipeline is an automated pipeline that takes developer code from submission to production deployment. The pipeline usually consists of the following stages:

• Code Commit: Developers commit their code to the version control system.
• Build: The code base is compiled and packaged into deployable artifacts.
• Testing: Run the automated test suite to verify that the artifact is correct.
• Deployment: Deploy successful artifacts to the target environment.
• Monitoring: The system monitors the deployed application to ensure it is functioning properly.

Practical case: Spring Boot application

Consider the following continuous delivery pipeline of Spring Boot application:

1. Code submission

Using GitLab CI/CD, when developers submit code, the pipeline is triggered.

2. Build

Use Maven or Gradle to build the code and package it as a JAR file.

3. Testing

Use JUnit or Mockito to run unit and integration tests.

4. Deployment

Use Jenkins Pipeline or Kubernetes to deploy the JAR file to the staging environment.

5. Monitoring

Use Prometheus and Grafana to monitor application performance.

Code Example

The following is an example pipeline definition, using Jenkins Pipeline:

pipeline {
    agent any

    stages {
        stage('Build') {
            steps {
                sh 'mvn clean package'
            }
        }
        stage('Test') {
            steps {
                sh 'mvn test'
            }
        }
        stage('Deploy') {
            steps {
                kubernetesDeploy(kubeconfigId: 'my-kube-config', name: 'my-app')
            }
        }
        stage('Monitor') {
            steps {
                prometheusMonitor(metricsUrl: 'http://my-app:9090/metrics')
            }
        }
    }
}

By implementing a continuous delivery pipeline, Java development teams can:

• Improve the speed at which code is submitted to the production environment for deployment
• Reduce the defect rate
• Improve software quality
• Achieve more frequent, low-risk deployment

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