🏥 Health Monitoring System for Microservices

A comprehensive, enterprise-grade health monitoring system for microservices architecture built with FastAPI, MongoDB, Docker, and Prometheus. Features AI-powered root cause analysis using Ollama LLaMA 3 and a modern frontend dashboard.

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🚀 Features

• Microservices: Auth, Order, Catalog (FastAPI, MongoDB, Prometheus metrics)
• Prometheus Monitoring: System, business, and HTTP metrics for all services
• AI Root Cause Analysis: Ollama LLaMA 3 integration for incident analysis
• Structured Logging: JSON logs, real-time log analysis, anomaly detection
• Comprehensive Dashboard: Real-time health, metrics, analytics, logs, and AI insights
• Docker Compose Orchestration: Easy local development and deployment

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🏗️ Architecture

┌───────────────┐   ┌───────────────┐   ┌───────────────┐
│ Auth Service  │   │ Order Service │   │ Catalog Svc   │
│ 8001/8002     │   │ 8003/8004     │   │ 8005/8006     │
└──────┬────────┘   └──────┬────────┘   └──────┬────────┘
       │                   │                   │
       └─────────────┬─────┴─────┬─────────────┘
                     │           │
             ┌───────▼───────────▼───────┐
             │      MongoDB (27017)      │
             └─────────────┬─────────────┘
                           │
                  ┌────────▼────────┐
                  │  Prometheus     │
                  │   (9090)        │
                  └────────┬────────┘
                           │
         ┌─────────────────▼─────────────────┐
         │ Monitoring Engine (8000)          │
         │ Controller (traffic gen)          │
         │ Frontend Dashboard (React)        │
         └───────────────────────────────────┘

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📦 Services Overview

Auth Service

• User registration & sign-in (JWT)
• MongoDB for user storage
• Prometheus metrics: auth attempts, JWTs, DB ops, system
• /register, /signin, /ping, /health, /metrics

Order Service

• Place and view orders (JWT required)
• MongoDB for orders
• Prometheus metrics: order ops, DB ops, system
• /api/v1/order, /api/v1/orders, /ping, /health, /metrics

Catalog Service

• Product catalog CRUD (JWT required)
• MongoDB for products
• Prometheus metrics: product ops, stock updates, DB ops, system
• /api/v1/add_product, /api/v1/update_stock, /api/v1/product, /api/v1/all_products, /ping, /health, /metrics

Monitoring Engine

• Aggregates logs, metrics, and Prometheus data
• AI-powered root cause analysis via Ollama
• Endpoints: /api/health, /api/summary, /api/metrics, /api/performance, /api/analytics, /api/root_cause, /api/errors/analysis, /api/logs, /api/services, /api/ollama/test

Controller

• Generates synthetic traffic and error scenarios for testing

Frontend Dashboard

• React app for real-time monitoring, analytics, logs, and AI insights
• Auto-refresh, manual refresh, color-coded status, error toasts

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📊 Metrics Collected

• HTTP Metrics: http_requests_total, http_request_duration_seconds, response_time_ms
• Business Metrics: auth_attempts_total, order_operations_total, product_operations_total, stock_updates_total
• Database Metrics: db_operations_total, db_operation_duration_seconds
• System Metrics: cpu_percent, memory_used_mb, process_start_time_seconds
• Error Metrics: errors_total, error_types, order_404, http_500, auth_failures
• JWT Metrics: jwt_tokens_issued_total, jwt_token_validations_total

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🛠️ Setup & Usage

Prerequisites

• Docker & Docker Compose
• Python 3.8+
• Ollama (for AI analysis, optional)

Quick Start

1. Clone the repository

   git clone <repository-url>
   cd health-monitoring-auth_service_dev

2. Start all services

   docker-compose up --build

3. Access the system:

   • Frontend Dashboard: http://localhost:8000
   • Prometheus: http://localhost:9090
   • Mongo Express: http://localhost:8081
   • Auth Service: http://localhost:8001
   • Order Service: http://localhost:8003
   • Catalog Service: http://localhost:8005

4. Seed the catalog (optional):

   python seed_catalog.py

5. Test endpoints:

   • Register/sign in, get a JWT, and use it for order/catalog APIs.
   • Use /api/root_cause for AI analysis.

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🧑‍💻 API Endpoints

Monitoring Engine

• GET /api/health — System health
• GET /api/summary — Metrics summary
• GET /api/metrics — Detailed metrics
• GET /api/performance — Performance analytics
• GET /api/analytics — Analytics
• GET /api/root_cause — AI root cause analysis
• GET /api/errors/analysis — Error analysis
• GET /api/logs — Logs
• GET /api/services — Per-service metrics
• GET /api/ollama/test — Ollama diagnostics

Auth Service

• POST /register — Register user
• POST /signin — Sign in (returns JWT)
• GET /ping, GET /health, GET /metrics

Order Service

• POST /api/v1/order — Place order (JWT)
• GET /api/v1/orders — List user orders (JWT)
• GET /ping, GET /health, GET /metrics

Catalog Service

• POST /api/v1/add_product — Add product (JWT)
• POST /api/v1/update_stock — Update stock (JWT)
• GET /api/v1/product — Search products (JWT)
• GET /api/v1/all_products — List all products (JWT)
• GET /ping, GET /health, GET /metrics

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🔒 Security

• JWT-based authentication for all protected endpoints
• Secure password hashing (bcrypt)
• Service-to-service authentication
• Environment variable configuration

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📝 Logging & Debugging

• All services log to /app/logs/metrics.log (mounted to ./logs)
• View logs in real time via dashboard or docker logs <service>
• Prometheus logs: docker logs prometheus
• Debug endpoints: /api/debug/*

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🤖 AI Root Cause Analysis

• /api/root_cause and dashboard button use Ollama LLaMA 3 for incident analysis
• Detects error spikes, latency anomalies, service-specific issues
• Returns actionable recommendations

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🧪 Testing

• Controller generates traffic and errors
• Use seed_catalog.py to add products
• Manual API testing with curl/Postman

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⚙️ Configuration

• .env for secrets and DB URIs
• docker-compose.yaml for service orchestration
• prometheus/prometheus.yml for metrics scraping

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