Emergencies Tracker

A modern Emergencies Tracking System with microservices architecture, built using F# (Giraffe) for backend services and Angular with MUI for the frontend.

This repository provides a complete solution for tracking and visualizing emergencies, focusing on natural disasters like earthquakes and volcanoes.

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Run

Run single container

docker build -t image_name .
docker run -it -p your_port:8080 --rm --name container_name image_name

Run composition

docker compose up

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Features

Backend (Microservices in F# with Giraffe)

1. Earthquakes Microservice:

   • Tracks and manages real-time data about earthquakes.
   • Provides APIs for querying earthquake-related emergencies.
   • Processes external data sources for up-to-date earthquake information.

2. Volcanoes Microservice:

   • Tracks volcanic activities and related emergencies.
   • Offers APIs for retrieving data on active or recent volcanic events.
   • Supports integration with geolocation services for mapping.

Frontend (Angular with MUI)

• User Interface:
  • Built using Angular and Material-UI (MUI) for a modern and responsive design.
  • Visualizes data from both microservices in an intuitive dashboard.
  • Interactive charts and maps for emergencies tracking.
• Features:
  • Displays real-time updates on earthquakes and volcanoes.
  • Offers filtering, sorting, and search functionalities for emergency data.
  • Integrates with external APIs for enhanced visualizations (e.g., maps).

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Core Technologies

• F# with Giraffe: Functional programming for robust and maintainable backend microservices.
• Angular: Modern frontend framework for building fast and scalable web applications.
• Material-UI (MUI): Provides a clean, user-friendly, and responsive UI for the frontend.

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How It Works

1. Backend:
   • The Earthquakes and Volcanoes microservices independently process and store their respective data.
   • Both microservices expose RESTful APIs for data retrieval.
2. Frontend:
   • The Angular-based frontend fetches data from the backend services via APIs.
   • Users can view, filter, and interact with emergency data on an elegant dashboard.
3. Integration:
   • External data sources are processed by the backend services for up-to-date emergency tracking.
   • Geolocation data is displayed on maps in the frontend for better visualization.

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Use Cases

• Monitor real-time natural disaster data, including earthquakes and volcanoes.
• Build scalable microservices with F# and Giraffe for functional backend development.
• Create modern web applications with Angular and MUI for data visualization and user interaction.

This repository serves as a practical example for developers interested in microservices, functional programming with F#, and building a responsive UI with Angular and MUI.