Jenkins CI/CD Pipeline for Ansible, Docker, and GitHub Integration | For CV |

#terraform
#aws
#dev
#devops
#docker
#ansible
#github

Description:
The “Jenkins CI/CD Pipeline for Ansible, Docker, and GitHub Integration” project aims to streamline and automate the software development and deployment process by setting up a robust Continuous Integration and Continuous Deployment (CI/CD) pipeline. This pipeline will leverage Jenkins, Ansible, Docker, and GitHub to facilitate the seamless integration, testing, and deployment of code changes.

In this project, we will configure Jenkins, a popular open-source automation server, to act as the central orchestrator of the CI/CD pipeline. It will monitor the connected GitHub repository for any changes in the source code. Upon detecting new commits or pull requests, Jenkins will automatically trigger the CI process.

The CI process will encompass various stages, including code compilation, static code analysis, unit testing, and integration testing. Each stage will be executed using appropriate build tools and test frameworks to ensure code quality and stability.

Once the code passes all the CI stages successfully, Jenkins will initiate the CD process. Here, Ansible, a powerful configuration management tool, will come into play. Ansible will manage the deployment process, ensuring consistent and repeatable deployments across different environments.

Docker, the leading containerization platform, will also be integrated into the pipeline. It will enable the creation of lightweight and isolated containers for the application, making it easy to package and deploy the software to various environments.

The ultimate goal of this project is to achieve a fully automated end-to-end pipeline where developers can confidently make changes to the codebase, knowing that every change will go through rigorous testing and be deployed automatically to production-like environments.

By implementing this Jenkins CI/CD Pipeline with Ansible, Docker, and GitHub, teams can achieve faster release cycles, reduced human errors, improved collaboration between development and operations teams, and ultimately deliver high-quality software with greater efficiency and reliability.