- Version
- Download 1
- File Size 5.67 MB
- File Count 1
- Create Date May 4, 2023
- Last Updated May 4, 2023
CI/CD Pipeline-as-code with Jenkins and Docker is a way of creating and managing a continuous integration and continuous delivery pipeline using code files and Docker containers. Here is a brief summary of what it involves:
• Jenkins is a popular open-source tool for automating software development tasks, such as building, testing and deploying applications. Jenkins can run on any platform that supports Java and can be installed using Docker.
• Pipeline-as-code is a practice of defining the entire workflow of a software project in code files, such as Jenkinsfile, that can be version-controlled, reviewed and reused. Pipeline-as-code allows developers to create modular, reusable and testable pipelines that can be triggered by various events.
• Docker is a platform that enables developers to package and run applications in isolated environments called containers. Docker can help simplify and speed up the CI/CD process by providing consistent and portable environments for building, testing and deploying applications.
A typical CI/CD pipeline with Jenkins and Docker consists of the following stages:
- Build: The source code of the application is checked out from a version control system, such as Git, and compiled into an executable file or a library. The build stage can also include code analysis, unit testing and code coverage tools. The output of the build stage is a Docker image that contains the application and its dependencies.
- Test: The Docker image is run in one or more containers and subjected to various types of testing, such as integration testing, functional testing, performance testing and security testing. The test stage can also generate reports and metrics that can be viewed in Jenkins or other tools. The output of the test stage is a validated Docker image that meets the quality criteria.
- Deploy: The validated Docker image is pushed to a Docker registry, such as Docker Hub, and deployed to one or more target environments, such as staging, production or cloud platforms. The deploy stage can also include configuration management, orchestration and monitoring tools. The output of the deploy stage is a running application that can be accessed by users or customers.