A scalable, event-driven website analytics SaaS platform designed to collect, process, and visualize website traffic data in real time. The platform enables businesses to track visitor behavior, traffic sources, device usage, and performance metrics through a lightweight tracking script and a modern analytics dashboard.
This project demonstrates production-grade full-stack architecture, including event ingestion pipelines, analytics processing, microservices, and a multi-tenant SaaS system.
• Website traffic analytics • Page view and unique visitor tracking • Traffic source and referrer analysis • Device and browser analytics • Country-level visitor insights • Real-time visitor monitoring • Multi-website project management • Event-driven analytics processing • Scalable SaaS architecture
The platform is built using a modular microservice architecture designed for scalability and high-volume event ingestion.
Client Website
│
Tracking SDK
│
Event Ingestion Service
│
Event Queue / Stream
│
Event Processor
│
Analytics Database
│
Analytics API
│
Dashboard Application
Each component can scale independently to support high traffic workloads.
- Next.js
- React
- Tailwind CSS
- Node.js
- Express
- TypeScript
- Docker
- NGINX
- Kubernetes
- Terraform
- PostgreSQL
- Redis
- Turborepo
tracpy
│
├── apps
│ ├── dashboard # Next.js analytics dashboard
│ ├── ingestion-service # Event collection API
│ ├── analytics-api # Analytics query service
│ ├── event-processor # Background event processing worker
│ ├── auth-service # Authentication & user management
│ └── billing-service # Subscription and billing system
│
├── packages
│ ├── database # Database schemas and ORM
│ ├── ui # Shared UI components
│ ├── sdk # Client tracking SDK
│ ├── logger # Centralized logging utilities
│ ├── config # Environment configuration
│ └── types # Shared TypeScript types
│
├── infrastructure
│ ├── docker # Container configuration
│ ├── nginx # Reverse proxy configuration
│ ├── terraform # Infrastructure as code
│ └── kubernetes # Deployment configuration
│
├── scripts # Automation scripts
├── docs # Architecture and design documentation
├── .github # GitHub workflows and issue templates
└── turbo.json # Turborepo configuration
Provides the user interface where website owners can view analytics insights, traffic trends, and visitor data.
Handles incoming analytics events from client websites and pushes them into the processing pipeline.
Serves processed analytics data to the dashboard with optimized queries.
Processes queued events, performs aggregations, and prepares data for analytics queries.
Manages user authentication, authorization, and multi-tenant access control.
Handles subscription plans, payment processing, and usage limits.
Websites can integrate analytics by embedding the tracking SDK.
<script src="https://cdn.analytics-saas.com/script.js"></script>
<script>
analytics.init("SITE_API_KEY")
</script>
This script sends visitor events to the ingestion service.
Clone the repository:
git clone https://github.com/yourusername/analytics-saas.git
Install dependencies:
npm install
Start development environment:
npm run dev
- Monorepo setup
- Core service scaffolding
- Environment configuration
- Tracking SDK
- Event ingestion API
- Session tracking
- Visitor aggregation
- Traffic source analysis
- Device and location analytics
- Analytics visualization
- Traffic charts
- Page performance insights
- Active visitor tracking
- Live event streaming
This project demonstrates:
- scalable SaaS system design
- event-driven analytics pipelines
- microservice architecture
- real-time data processing
- modern full-stack development practices
MIT License