View Project
Scalable-Website-Screenshot is a high-performance, distributed web application designed to generate full-page screenshots of websites efficiently. It utilizes a microservices-based architecture to handle multiple screenshot requests simultaneously, ensuring real-time updates and effective task distribution.
Overview
The system is built with a combination of modern technologies to enable fast, scalable, and reliable screenshot generation. It leverages a distributed worker model, allowing multiple workers to process tasks in parallel. This ensures that even under high loads, the system remains responsive and delivers screenshots in real-time.
Key Features
Scalable Architecture – The application can handle multiple screenshot requests concurrently by distributing the workload across multiple worker processes.
Real-Time Updates – WebSocket integration ensures that users receive live updates on the status of their screenshot requests.
Efficient Task Management – RabbitMQ is used as a message broker to manage and distribute tasks to available workers.
Caching for Performance – Redis caches generated screenshots, significantly reducing processing time for repeated requests.
Lightweight and Fast Backend – The backend is built using Fastify, ensuring rapid API responses and efficient handling of HTTP requests.
Parallel Task Processing – Multiple workers can run simultaneously, allowing the system to process screenshots at scale.
Technology Stack
Frontend: Next.js is used to build the user interface, providing a seamless experience for users requesting screenshots.
Backend: Fastify serves as the backend framework, offering a fast and lightweight API for handling screenshot requests.
Message Queue: RabbitMQ is employed to manage task distribution among multiple workers.
Workers: Workers handle screenshot generation using Puppeteer, ensuring high-quality and full-page captures.
Caching & Pub/Sub: Redis is used both for caching screenshots and managing real-time updates through its publish-subscribe mechanism.
WebSockets: Real-time notifications are sent to the frontend to inform users when their screenshots are ready.
How It Works
User Input: A user enters a website URL on the frontend, which sends the request to the backend.
Task Queueing: The backend first checks Redis for an existing screenshot. If none is found, the request is added to RabbitMQ.
Worker Processing: One of the available workers fetches the request from RabbitMQ and uses Puppeteer to generate a screenshot.
Caching & Notification: The completed screenshot is saved in Redis, and a notification is sent to the frontend via WebSocket.
Real-Time Update: The frontend receives a WebSocket message once the screenshot is ready and displays the image to the user.
Scalability & Performance
The system is designed to scale horizontally. More workers can be added as required to handle increasing request volumes. This ensures optimal performance under heavy loads. Additionally, Redis caching minimizes redundant processing by storing previously generated screenshots for quick retrieval.
This architecture makes Scalable-Website-Screenshot an ideal solution for businesses, developers, and researchers who need an efficient and automated way to capture website screenshots at scale.
Built with
