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In 2026, setting up a Continuous Integration and Continuous Deployment (CI/CD) pipeline for a Flask application with Jenkins has become an essential practice for developers aiming for rapid and reliable software delivery. This guide provides a step-by-step process to establish an efficient pipeline that automates testing, building, and deploying your Flask app.
Prerequisites
- Python 3.11 or later installed on your machine
- Jenkins server set up and running
- Git repository hosting your Flask application
- Docker installed for containerization
- Access to a cloud environment or server for deployment
Step 1: Prepare Your Flask Application
Ensure your Flask project has a requirements.txt file listing all dependencies and a Dockerfile for containerization.
Example requirements.txt:
requirements.txt
Flask==2.2.3
gunicorn==20.1.0
Example Dockerfile:
Dockerfile
FROM python:3.11-slim
WORKDIR /app
COPY . /app
RUN pip install -r requirements.txt
CMD [“gunicorn”, “app:app”, “–bind”, “0.0.0.0:8000”]
Step 2: Configure Jenkins
Install necessary plugins such as Git plugin, Docker plugin, and Pipeline plugin. Create a new pipeline job and connect it to your Git repository.
Sample Jenkinsfile
Place this Jenkinsfile in your repository root:
Jenkinsfile
pipeline {
agent any
stages {
stage(‘Build’) {
steps {
script {
dockerImage = docker.build(‘flask-app’)
}
}
}
stage(‘Test’) {
steps {
sh ‘docker run –rm flask-app pytest’
}
}
stage(‘Deploy’) {
steps {
sh ‘docker push your-dockerhub-username/flask-app:latest’
// Add deployment commands here
}
}
}
}
Step 3: Automate Building and Testing
Configure Jenkins to automatically trigger builds on code commits. Use the Dockerfile to build container images and run tests inside containers to ensure consistency.
Step 4: Deployment
Push the Docker image to a registry such as Docker Hub or a private registry. Automate deployment to your production environment using scripts or orchestration tools like Kubernetes.
Best Practices
- Use environment variables to manage secrets and configurations securely.
- Implement automated rollback strategies for failed deployments.
- Regularly update dependencies and base images for security.
- Monitor your pipeline and application performance continuously.
By following these steps, you can establish a robust CI/CD pipeline for your Flask application in 2026, ensuring rapid, reliable, and scalable deployments.