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Debug a slow concurrent network server under load

Last updated: Jun 8, 2026

Quick Overview

This question evaluates debugging and performance-tuning skills for concurrent network servers, focusing on event-loop behavior, I/O multiplexing, blocking vs non-blocking I/O, and thread-pool interactions.

  • medium
  • MongoDB
  • Software Engineering Fundamentals
  • Software Engineer

Debug a slow concurrent network server under load

Company: MongoDB

Role: Software Engineer

Category: Software Engineering Fundamentals

Difficulty: medium

Interview Round: Onsite

## Scenario You are on-call for a high-throughput network service (e.g., a TCP/HTTP server). Under load, users report: - Throughput suddenly drops - p99 latency increases significantly - CPU may be high or low depending on the incident The server uses a concurrency model based on an **event loop** and OS I/O multiplexing (e.g., `epoll`), and may use a thread pool for some work. ## Task Walk through how you would **debug and improve performance**. Your interviewer may ask about: - Connection handling and backlog - Event loop behavior - Blocking vs non-blocking I/O - I/O multiplexing (`select/poll/epoll`, edge vs level triggered) - Where `io_uring` might help vs where it would not - Typical bottlenecks: syscalls, context switching, lock contention, head-of-line blocking, buffer management ## Output expected Explain a structured approach: 1. What you would measure/collect first 2. How you would narrow down the bottleneck 3. Concrete fixes and trade-offs 4. How you would validate improvements and avoid regressions

Quick Answer: This question evaluates debugging and performance-tuning skills for concurrent network servers, focusing on event-loop behavior, I/O multiplexing, blocking vs non-blocking I/O, and thread-pool interactions.

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MongoDB
Jan 22, 2026, 12:00 AM
Software Engineer
Onsite
Software Engineering Fundamentals
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Scenario

You are on-call for a high-throughput network service (e.g., a TCP/HTTP server). Under load, users report:

  • Throughput suddenly drops
  • p99 latency increases significantly
  • CPU may be high or low depending on the incident

The server uses a concurrency model based on an event loop and OS I/O multiplexing (e.g., epoll), and may use a thread pool for some work.

Task

Walk through how you would debug and improve performance. Your interviewer may ask about:

  • Connection handling and backlog
  • Event loop behavior
  • Blocking vs non-blocking I/O
  • I/O multiplexing ( select/poll/epoll , edge vs level triggered)
  • Where io_uring might help vs where it would not
  • Typical bottlenecks: syscalls, context switching, lock contention, head-of-line blocking, buffer management

Output expected

Explain a structured approach:

  1. What you would measure/collect first
  2. How you would narrow down the bottleneck
  3. Concrete fixes and trade-offs
  4. How you would validate improvements and avoid regressions

Solution

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