Train Ticket Analysis Report

Description

A large-scale, distributed train ticket booking system built with 41 microservices, handling user management, ticket purchasing, and system administration. Each microservice is designed for scalability, fault tolerance, and easy maintenance.

Key Technologies

• Java:
  • Framework: Spring Boot, Spring Cloud
• Node.js:
  • Framework: Express
• Python:
  • Framework: Django
• Go:
  • Framework: Webgo
• Databases:
  • MongoDB, MySQL

Deployment

• Tools:
  • Docker
  • Kubernetes (K8s)
  • docker-compose

Security and Vulnerability Scanning

• Network Scanning:
  • Nmap
• Reconnaissance:
  • Shodan
• Static Analysis:
  • SonarQube, Docker Scout, GitHub Action - CodeQL
• Web Application Security Testing:
  • Burp Suite Professional

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Highlights

• 41 microservices ensuring modularity and scalability.
• Full deployment and orchestration support with Docker and Kubernetes.
• Integrated monitoring and debugging with Prometheus, Zipkin, and Jaeger for advanced insights.
• Extensive vulnerability scanning and security tools integration for securing the entire application stack.

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