Mentora is a full-stack project that combines modern software development practices, AI integration, and DevOps workflows. The goal is to build a scalable, observable, and secure architecture that integrates backend, frontend, and AI services.
- Docker & Docker Compose
- JDK 21
- Maven 3.9+
docker compose up -d --build
- Backend: http://localhost:8080
- PostgreSQL:
localhost:5433 - Zipkin UI: http://localhost:9411
- Backend → Spring Boot 3, Java 21, PostgreSQL, Spring AI, OAuth2 Google integration
- Frontend → React + TypeScript (planned CI/CD integrations)
- DevOps → Docker, Docker Compose, GitHub Actions, Kubernetes (up to deployment stage)
- Observability → Zipkin (distributed tracing)
- Backend environment setup
- Dockerization of services and container preparation
- Backend integration with Docker
- Environment variables managed via GitHub Variables
- OAuth2 Google authentication integration
- Connecting LLM with backend using Spring AI
- Backend testing with JUnit
- Frontend CI workflow using GitHub Actions
- Backend CI workflow using GitHub Actions
- Zipkin tracing integration
- Kubernetes deployment of containers
- Fixed Docker Image issue in GitHub Actions pipeline
- Frontend user interface development
- Prometheus + Grafana integration for metrics-based monitoring
- Production-grade Kubernetes manifests
- Backend: Spring Boot, Spring Security, Spring AI, PostgreSQL
- Frontend: React, TypeScript
- CI/CD: GitHub Actions
- Containerization & Deployment: Docker, Docker Compose, Kubernetes
- Tracing & Monitoring: Zipkin
- Testing: JUnit
- Yunus Emre Şenyiğit
- Emir Enes Akalın
- Göktuğ Berke Güngören