Implementating Analytics Service | API Monitoring system | Part 11

🚀 Built a Scalable API Analytics System (Multi Tenant) | Node.js + Clean Architecture

In this video, I walk you through how I designed and built a production ready API analytics and monitoring service from scratch.

This system is built for multi tenant environments, ensuring complete data isolation, security, and scalability which most tutorials usually ignore.

💡 What you will learn in this video:

🔹 Designing a clean Analytics Service Layer
🔹 Secure multi tenant architecture with proper data isolation
🔹 Role based access for admin and client level analytics
🔹 Calculating key metrics like total hits, error rate, and average latency
🔹 Tracking top performing endpoints
🔹 Building time series analytics for real world monitoring
🔹 Using Dependency Injection for scalable architecture
🔹 Implementing controller service repository separation
🔹 Handling partial failures using Promise.allSettled

⚙️ Tech Stack:
Node.js
Express
Modular architecture
Repository pattern
Authentication middleware
Scalable backend design

📊 Features covered:
✔️ Overall stats API
✔️ Top endpoints tracking
✔️ Time series metrics
✔️ Dashboard aggregation API
✔️ Secure client resolution logic

🧠 Why this matters:
If you are building SaaS products, developer tools, or internal monitoring systems, this is how real world analytics systems are actually designed.

🔥 This is not a basic CRUD app
This is system design combined with backend engineering

📌 Perfect for:
Backend developers
Full stack engineers
System design preparation
SaaS builders

👍 If you found this helpful:
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#NodeJS #SystemDesign #BackendDevelopment #Analytics #APIMonitoring #CleanArchitecture #SaaS #FullStackDeveloper

Видео Implementating Analytics Service | API Monitoring system | Part 11 канала Code Architecture