This plan outlines the implementation of a standard, production-ready CI/CD pipeline using Jenkins for a multi-service web application. The application stack consists of:
- Frontend: Vite + React (TypeScript)
- Backend: Node.js + Express (connecting to MongoDB and PostgreSQL)
- Database: MongoDB & PostgreSQL
- Orchestration & Deploy: Docker & Docker Compose
- Notifications: Telegram Bot API integration for pipeline status alerts.
Please review the proposed structure and flow of the pipeline. In particular, check:
- Telegram Credentials: The Jenkins environment will require two credentials/variables configured:
TELEGRAM_BOT_TOKEN: The bot token obtained from BotFather.TELEGRAM_CHAT_ID: The target group chat or user ID to receive notifications.
- Docker Registry: If you want to push built images to a remote registry (like Docker Hub, AWS ECR, or GitLab Registry), you will need to add credentials in Jenkins (e.g.
docker-registry-credentials). For this local/template setup, we will configure docker build and deployment using local images or placeholders for pushing. - Deployment Strategy: We will implement a Docker Compose-based deployment stage. This is standard for single-node setups. If Kubernetes or SSH deployment to another server is desired, we can extend it later.
We will create a full repository layout since the workspace is currently empty. This will provide a fully functional template that compiles, tests, builds Docker images, and deploys, while notifying a Telegram chat.
/home/namnk/ws/jenkins/
├── backend/
│ ├── src/
│ │ ├── config/ # DB configurations (Mongo/Postgres)
│ │ └── index.js # Express server entrypoint
│ ├── Dockerfile
│ ├── package.json
│ └── README.md
├── frontend/
│ ├── src/
│ │ ├── App.tsx # Main page showing DB connection statuses
│ │ └── main.tsx
│ ├── Dockerfile
│ ├── package.json
│ └── README.md
├── jenkins/
│ └── scripts/
│ └── telegram-notify.sh # Script for Telegram notifications
├── docker-compose.yml # Local environment & production orchestrator
├── docker-compose.jenkins.yml # Deployment template for Jenkins Pipeline
├── Jenkinsfile # Jenkins Declarative Pipeline
└── README.md
We will create a simple, clean, and responsive Vite application that displays connection statuses to the backend services.
Vite, React, TypeScript, and dependencies.
Multi-stage Dockerfile:
- Stage 1: Build static assets using Node.
- Stage 2: Serve using Nginx (lightweight, production-grade).
We will create a Node.js Express application that connects to MongoDB and PostgreSQL and exposes health-check endpoints.
Express, Mongoose (MongoDB), pg (PostgreSQL), dotenv, and cors.
Optimized Node.js runtime Dockerfile (using Node Alpine, clean dependencies, and proper environment injection).
Server setup, MongoDB connection, PostgreSQL connection, and simple API endpoints.
Docker Compose templates for local environment and production deployment.
Runs frontend, backend, mongodb, and postgresql locally.
The core pipeline configuration.
Declarative pipeline with stages:
- Initialize & Lint: Check dependencies and style guidelines.
- Test: Run unit/integration tests for frontend and backend.
- Docker Build: Build Docker images for
frontendandbackendservices. - Deploy: Restart services using
docker-compose.jenkins.yml. - Post Actions (Always/Success/Failure): Trigger the Telegram notification script passing build status, duration, commit author, and messages.
Bash script using curl to send formatted HTML messages to Telegram.
- Renders emoji badges: ✅ Success, ❌ Failure,
⚠️ Aborted. - Includes git commit hash, author, commit message, pipeline duration, and build number linking to Jenkins UI.
- We will lint and run build checks in both the
frontendandbackenddirectories. - We will test the Telegram notification script locally (mocking token/chat ID or using a test token if provided).
- Verify the docker build completes successfully for both frontend and backend.
- Verify docker-compose starts up and connects frontend to backend, and backend to databases (MongoDB and PostgreSQL).
- Validate the generated
Jenkinsfilestructure via a Jenkins linter check (if available) or syntax checking.