🧾 Keyshell Payment App – Microservices Deployment with Docker & CI/CD

This project demonstrates the deployment of a microservices-based payment application using Docker containers, CI/CD pipelines via Jenkins, and a full suite of DevOps tools for quality assurance, monitoring, caching, and centralized logging.

🚀 Tech Stack

Layer	Technology
Frontend	Angular + Nginx
Backend	Python (FastAPI)
Database	MongoDB
Caching	Redis
Logging	ELK Stack (Elasticsearch, Logstash, Kibana)
Monitoring	Prometheus, Grafana, Node Exporter, cAdvisor
CI/CD	Jenkins, SonarQube, Nexus
Containerization	Docker, Docker Compose
Infrastructure	Ubuntu EC2 Instance

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📦 Microservices Architecture

Each service runs in its own Docker container:

• Frontend: Angular app served via Nginx
• Backend:
  • auth_service: FastAPI with Uvicorn
  • payment_service: FastAPI with Redis integration
• Database: MongoDB
• Caching: Redis for session management
• Logging: ELK stack for centralized log aggregation
• Monitoring: Prometheus + Grafana dashboards

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🔁 CI/CD Pipeline Overview

1. Code Checkout: Jenkins pulls latest code from GitHub
2. Code Quality: SonarQube static analysis for frontend and backend
3. Build:
   • Angular frontend via Angular CLI
   • Python backend with virtualenv and Uvicorn
4. Dockerization:
   • Dockerfiles for each service
   • Tagged and pushed to Nexus & DockerHub
5. Deployment: Docker Compose orchestrates all services
6. Monitoring:
   • Prometheus scrapes metrics
   • Grafana visualizes dashboards and alerts
7. Logging:
   • Logstash collects container logs
   • Elasticsearch indexes logs
   • Kibana visualizes logs
8. Caching: Redis stores session data for fast retrieval

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🛠️ Setup Instructions

Prerequisites

• Ubuntu EC2 instance
• Installed tools:
  • Git, Jenkins, SonarQube, Nexus
  • Docker & Docker Compose
  • Node.js (via nvm), Angular CLI
  • Python 3.x, virtualenv
  • Prometheus, Grafana, ELK Stack

Jenkins Configuration

• Install required plugins
• Configure global tools and credentials
• Define pipeline stages for:
  • SonarQube analysis
  • Docker image build and push
  • Deployment via Docker Compose

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📊 Monitoring & Logging

• Grafana Dashboards:

  • Node Exporter (1860)
  • Docker cAdvisor (13946)

• Prometheus Alerts:

  • Alertmanager container with custom rules

• ELK Stack:

  • Logstash input/filter/output pipeline
  • Elasticsearch indexing
  • Kibana dashboards for log analysis

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🔐 Redis Integration

• Redis container runs on shared Docker network
• Integrated with payment_service for session caching
• Speeds up transaction retrieval and reduces DB load

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📁 Repository

• GitHub: KEYSHELL-PAYMENT-APPLICATION/payment_application

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📌 Notes

• Backend services use same internal ports due to Docker network isolation
• Nginx reverse proxy routes requests to appropriate backend services
• Custom nginx.conf and default.conf define routing logic

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👨‍💻 Author

Thomas V Varghese
Junior DevOps/Cloud Engineer at Keyshell IT Solutions
Focused on scalable CI/CD workflows, cloud-native deployment, and infrastructure automation.

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