Academic project developed for the course Desarrollo de Aplicaciones Nativas en la Nube (MISW-4301)
Universidad de los Andes – 2025
Team project – 4 members

This repository contains the implementation of the Package Delivery Broker, an academic project that simulates a collaborative logistics platform for parcel delivery.
The project applies cloud-native principles, using microservices architecture, containerization, and orchestration to deploy scalable and resilient applications.

The platform allows users to act in two roles:

• Lessor (Arrendador) – a user who wants to send a package using the available luggage space of another traveler.
• Lessee (Arrendatario) – a traveler who offers space in their luggage in exchange for an economic benefit.

Both users benefit from the transaction, and the company takes a commission for acting as the intermediary.

The goal of the platform is to become a competitive alternative in the delivery and logistics sector through a collaborative economy model.

Users can:

• Publish trips with available luggage space (Publicaciones).
• Make offers (Ofertas) to ship packages along a trip route (Trayecto).
• Calculate an estimated profit or utility (score) for each offer using:

$$ \text{Utility} = \text{Offer Amount} - \big(\text{Luggage Occupation}\ % \times \text{Luggage Value}\big) $$

This initial version focuses on the backend services, cloud deployment, and integration pipelines, leaving user interaction external to the app.

• Design and deploy a cloud-native application using microservices.
• Apply containerization (Docker) and orchestration (Kubernetes / Docker Compose).
• Incorporate CI/CD pipelines for automated testing and deployment.
• Use serverless services and event-driven patterns in the final stage.
• Ensure scalability, extensibility, resilience, and availability.

Each microservice includes:

• Unit and integration tests with unittest or pytest.
• Continuous integration pipelines with GitHub Actions for:
  • Linting and testing.
  • Docker image build and push.
  • Deployment to a container registry or cluster.

The final system will be deployed using a cloud provider (AWS) and will include:

• Container orchestration (Kubernetes or GKE).
• Serverless event triggers (Cloud Functions).
• Cloud-hosted databases and messaging services.

Course: Desarrollo de Aplicaciones Nativas en la Nube (MISW-4301)
Institution: Universidad de los Andes
Year: 2025