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Optimize HTTP requests for speed and limits

Last updated: Apr 28, 2026

Quick Overview

This question evaluates understanding of concurrency, throughput optimization, rate limiting, and trade-offs in designing scalable networked services. It is commonly asked to assess architectural decision-making for handling large-scale HTTP request workloads, falls under the System Design domain, and tests practical application–level design thinking rather than low-level coding details.

  • medium
  • Anthropic
  • System Design
  • Software Engineer

Optimize HTTP requests for speed and limits

Company: Anthropic

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

You are building a service that needs to send HTTP requests to a large number of URLs (for example, a simple web crawler or data fetcher). The naive implementation processes URLs sequentially in a single thread, so total runtime is long. The interviewer asks two follow-up questions: 1. **If you want to speed up the overall processing, how would you change the design?** 2. **If you want to avoid sending too many requests at the same time (e.g., to respect rate limits or avoid overloading remote servers), how would you handle that?** Describe a high-level design that: - Increases throughput and reduces total completion time. - Controls how many requests are in flight simultaneously (globally and/or per host). You do not need to provide code, but clearly explain the main components (threading model, queues, rate limiting, etc.) and the trade-offs of your approach.

Quick Answer: This question evaluates understanding of concurrency, throughput optimization, rate limiting, and trade-offs in designing scalable networked services. It is commonly asked to assess architectural decision-making for handling large-scale HTTP request workloads, falls under the System Design domain, and tests practical application–level design thinking rather than low-level coding details.

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|Home/System Design/Anthropic

Optimize HTTP requests for speed and limits

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Anthropic
Dec 8, 2025, 7:50 PM
mediumSoftware EngineerTechnical ScreenSystem Design
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You are building a service that needs to send HTTP requests to a large number of URLs (for example, a simple web crawler or data fetcher). The naive implementation processes URLs sequentially in a single thread, so total runtime is long.

The interviewer asks two follow-up questions:

  1. If you want to speed up the overall processing, how would you change the design?
  2. If you want to avoid sending too many requests at the same time (e.g., to respect rate limits or avoid overloading remote servers), how would you handle that?

Describe a high-level design that:

  • Increases throughput and reduces total completion time.
  • Controls how many requests are in flight simultaneously (globally and/or per host).

You do not need to provide code, but clearly explain the main components (threading model, queues, rate limiting, etc.) and the trade-offs of your approach.

Submit Your Answer to Earn 20XP

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