How to Set Up a Flask CI/CD Pipeline with Jenkins in 2026

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.