Continuous Integration (CI) and
Continuous Deployment (CD) are integral aspects of the software development process. When applied to Python Flask projects and utilizing GitLab CI/CD, you can automate the development, testing, and deployment of your web applications. In this article, we'll provide you with a specific step-by-step guide to deploy GitLab CI/CD for your Python Flask projects.
Step 1: Prepare Your Environment
Install Python and Flask: Ensure you have the latest versions of Python and Flask installed to develop Python Flask applications.
Create a GitLab Account: If you don't have one already, sign up for a GitLab account to get started.
Step 2: Create the
.gitlab-ci.yml File: In the root directory of your Python Flask project, create a
Define Stages and Jobs: In the
.gitlab-ci.yml file, define stages such as
deploy, and configure corresponding jobs.
stages: - build - test - deploy build_job: stage: build script: - pip install -r requirements.txt test_job: stage: test script: - python -m unittest discover tests deploy_job: stage: deploy script: - scp -r app.py user@your-server:/path/to/your/project
Step 3: Activate CI/CD on GitLab
Connect Project to Repository: Log in to your GitLab account and create a new project. Connect the project to your repository.
Run the Initial CI/CD Pipeline: As you push code to the repository, GitLab CI/CD will automatically trigger. The CI/CD pipeline will run through stages and execute the defined jobs.
Step 4: Manage Deployment and Monitor Results
Manage Deployments: Ensure that all deployment tasks are automated. Utilize deployment management tools to minimize risks and streamline the deployment process.
Monitor CI/CD Results: Within the project interface on GitLab, you can view the history, timings, outcomes, and any errors of the CI/CD jobs.
Implementing GitLab CI/CD with Python Flask empowers you to automate the development and deployment process of web applications. Through this guide, you have learned how to create an effective CI/CD workflow and are equipped to develop high-quality Python Flask applications.