Scalability for Web Crawler System Design
- Auto-scaling: Configure the system to automatically adjust server capacity based on workload demands, ensuring optimal performance during peak traffic periods and minimizing costs during low activity.
- Horizontal Scaling: Design the system to scale horizontally by adding more instances of components such as crawlers, queues, and databases, allowing it to handle increased traffic and processing requirements.
- Load Balancing: Implement load balancing techniques to evenly distribute incoming requests across multiple servers or instances, optimizing resource utilization and improving fault tolerance.
- Database Sharding: Distribute data across multiple database servers through sharding techniques, improving database performance, scalability, and fault tolerance by reducing data volume and query load on individual servers.
- Content Delivery Network (CDN): Utilize a CDN to cache and serve static assets from servers located closer to end-users, reducing latency, improving content delivery speed, and offloading traffic from origin servers.
Design Web Crawler | System Design
Creating a web crawler system requires careful planning to make sure it collects and uses web content effectively while being able to handle large amounts of data. We’ll explore the main parts and design choices of such a system in this article.
Important Topics for Web Crawler System Design
- Requirements Gathering for Web Crawler System Design
- Capacity Estimation for Web Crawler System Design
- High-Level Design (HLD) for Web Crawler System Design
- Low-Level Design (LLD) for Web Crawler System Design
- Database Design for Web Crawler System Design
- Microservices and API Used for Web Crawler System Design
- Scalability for Web Crawler System Design