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🚚 Logistics Microservices Platform (Backend)

Java Spring Boot Docker Microservices

📖 Project Overview

This repository hosts the Backend Source Code for a distributed logistics system. It handles the complete lifecycle of transport requests, from order creation to real-time tracking and invoicing.

Key Architecture Features:

  • Service Discovery: Netflix Eureka for dynamic service registration.
  • API Gateway: Centralized entry point routing to internal microservices.
  • Security: Integrated with Keycloak (OAuth2/OIDC) for identity management.
  • Resilience: Circuit Breakers implemented for fault tolerance.

📂 Project Structure

The solution is organized into independent microservices:

Service Name Description Port
api-gateway Central entry point and routing 8080
eureka-server Service Registry 8761
ms-logistica Core logistics logic Var
ms-solicitudes-v2 Transport request management Var
ms-tracking-v2 Real-time shipment tracking Var
ms-facturacion-v2 Invoicing and billing system Var
config/keycloak IAM Configuration 9090

🚀 Local Deployment Guide

Prerequisites

  • Java JDK 17
  • Maven 3.8+
  • Docker & Docker Compose (Recommended)

🔧 How to Run

  1. Clone the repository:

    git clone [https://github.com/ezequieldlv/logistics-microservices-platform.git](https://github.com/ezequieldlv/logistics-microservices-platform.git)
  2. Infrastructure Setup: Start the supporting containers (Database, Keycloak, etc.) using Docker Compose:

    docker-compose up -d
  3. Build & Run Services: You can run each service individually via Maven or your IDE. Ensure eureka-server starts first.

    cd transport/eureka-server
    mvn spring-boot:run

🧪 API Testing (Postman)

A complete Postman Collection (Sistema_Transportes_TPI.postman_collection.json) is included in the root directory to test all endpoints.

  • Gateway URL: http://localhost:8080
  • Keycloak Auth: http://localhost:9090

Developed by Ezequiel - Systems Engineering Student & Aspiring SRE.

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Distributed system architecture built with Java Spring Boot, Docker, and Keycloak. Focus on scalability and containerization

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