CASE STUDY

Ninelab Analytics

Comprehensive platform for SEO metrics collection, Core Web Vitals monitoring, and real-time user behavior analysis.

About the Project

Scalable analytics system ensuring data collection from thousands of client sites. Uses high-performance Go proxy for script injection and metric collection, InfluxDB for time-series storage, and Next.js for data visualization. Allows tracking SEO strategy effectiveness and web resource technical health.

Solution Architecture

SEO Platform Architecture
Backend API (Go)

Go microservice for managing projects, users, and configurations. Implements gRPC API.


Go 1.24
gRPC
PostgreSQL
GORM
JWT
Dashboard (Next.js)

Modern web interface for displaying analytics and managing settings.


Next.js 16
Material UI v7
gRPC-Web
TypeScript
Recharts
Analytics Proxy (Go)

High-load Reverse Proxy for metric collection and JS code injection.


Go 1.18+
InfluxDB v2
Docker
HighLoad

Key Features

  • Real-time Monitoring

    Collection and display of behavioral factors and performance metrics in real-time.

  • SEO Analytics

    Automatic audit of meta-tags, headers, and content structure for every visitor.

  • Data Security

    Anonymization of user data and secure metric transmission.

Core Web Vitals Monitoring


Real-time User Tracking


High Performance Go Proxy

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