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Community Events Platform

This project is a microservices-based web application that enables users to organize and participate in small, spontaneous, non-commercial community events in their local area. It was developed as part of a bachelor’s thesis at CTU in Prague.

Local setup

To run this project locally, make sure you have the following tools installed:


1. Start Infrastructure with Docker Compose

Navigate to the infrastructure/docker directory and start the necessary infrastructure components (e.g., Kafka, MongoDB, ELK Stack):

cd infrastructure/docker
docker-compose up -d

Wait until all services are healthy (check with docker ps or use the Docker Desktop UI).


2. Run Spring Boot Microservices

Each backend module is a standalone Spring Boot application. You can run them all using your IDE or with Maven:

# From the root of the project, run each service individually in separate terminals:
cd auth-server
mvn spring-boot:run

cd core-service
mvn spring-boot:run

cd chat-service
mvn spring-boot:run

cd map-service
mvn spring-boot:run

cd saga-orchestrator-service
mvn spring-boot:run

cd gateway
mvn spring-boot:run

3. Start the Frontend (Vue.js)

Navigate to the frontend directory and start the development server:

cd web
npm install
npm run dev

Local Ports Overview

Service URL / Port
Frontend (Vue) http://localhost:5173
API Gateway http://localhost:8085
Auth Server http://localhost:8090
Core Service http://localhost:8081
Chat Service http://localhost:8082
Map Service http://localhost:8083
Notification Service http://localhost:8084
Kafka Broker localhost:9092
Zookeeper localhost:2181
MongoDB localhost:27017
Elasticsearch http://localhost:9200
Kibana http://localhost:5601
Logstash localhost:5000
SonarQube http://localhost:9000

About

A microservices‑based web application developed as part of a bachelor's thesis at CTU in Prague. It empowers users to organize and join small, non‑commercial, impromptu community gatherings in their local area. The system leverages a Vue.js front‑end and multiple Spring Boot microservices with Kafka.

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