🚀 NeuroNexus is a production-style workflow orchestration platform built using Spring Boot microservices.
It automates real DevOps/SRE workflows — from ticket triage and team notifications to JIRA automation, deployments, and workflow auditing.

This project helped me deeply explore distributed microservices architecture, PostgreSQL persistence, REST-based orchestration, and Docker deployments.

🏗️ What I Built

I developed NeuroNexus, a modular microservices-based platform that processes tickets, triages them with rule-based AI logic, and orchestrates sequential actions through a central Orchestrator.

🖥️ Backend – Spring Boot Microservices

  • Tech Stack: Java 21, Spring Boot 3, Spring Web, Spring Data JPA, Lombok
  • Features:
    • Distributed microservices communicating via REST
    • Workflow orchestration (notify → jira → deploy → log → complete)
    • Keyword-based AI-style triage (upgradable later using Spring AI)
    • PostgreSQL persistence for tickets + audit logs
    • Clean separation of responsibilities across services

📂 Repository:
👉 raZer99/NeuroNexus

NeuroNexus models real-world SRE/DevOps automation systems — combining microservices, workflow engines, auditing, and extensible orchestration.
A strong portfolio project demonstrating backend engineering maturity.

🧩 Microservices Included (Visual Overview)

1️⃣ Ticket Service (8080)

  • Receives and stores tickets
  • Sends ticket to Triage Service
  • Triggers Orchestrator workflow

2️⃣ Triage Service (8081)

Performs lightweight AI-style classification:

  • Priority → P1 / P2 / P3
  • Owner team → devops / db / network / auth
  • Reason → auto-generated rule-based explanation

3️⃣ Orchestrator (8082)

Executes workflow steps in order:

  • notify
  • jira
  • deployment
  • log
  • complete
  • Saves workflow history to PostgreSQL

4️⃣ Action Services

  • Notification Service (8083) → Sends team alerts
  • JIRA Service (8085) → Creates incident tickets
  • Deployment Service (8084) → Simulates CI/CD deployment

5️⃣ PostgreSQL (Docker)

Stores:

  • Ticket data
  • Workflow history
  • Audit logs

🔄 How NeuroNexus Works (End-to-End Flow)

  1. User submits a ticket → POST /tickets

  2. Ticket Service: • Saves ticket in PostgreSQL • Forwards to Triage Service

  3. Triage Service: • Analyzes description • Assigns priority & owner team • Returns enriched metadata

  4. Ticket Service sends result to Orchestrator

  5. Orchestrator processes workflow: notify → jira → deploy → log → complete

  6. Saves workflow record to PostgreSQL

  7. Final response returned to user

🎓 What I Learned

Building NeuroNexus helped me understand how real microservices communicate, coordinate, and execute workflows across a distributed system.

Key takeaways:

  • Designing loosely coupled microservices
  • Implementing REST-based inter-service communication
  • Writing dynamic workflow engines using templates
  • Using PostgreSQL + Docker Compose for persistent storage
  • Applying rule-based AI logic for ticket triage**
  • Structuring large, scalable backend systems
  • Managing orchestration across multiple independent services

💡 Next Steps

I plan to extend NeuroNexus with:

  • Kafka for event-driven orchestration
  • Spring AI for LLM-based triage
  • Slack/Email notification plugins
  • Grafana + Prometheus monitoring
  • API Gateway + Service Registry via Spring Cloud
  • Role-based access control for ticket actions

These upgrades will move NeuroNexus closer to a fully production-grade orchestration engine.

Thanks for reading! 🌱
If you’re exploring Spring Boot + Microservices, projects like NeuroNexus are an excellent way to master orchestration patterns, distributed systems, and scalable backend architecture.