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Design real-time modules communication and overload handling

Last updated: Mar 29, 2026

Quick Overview

Evaluates understanding of low-latency inter-module communication and overload-mitigation concepts—concurrency models, IPC/selecting transport mechanisms, buffering and flow-control strategies—Category/domain: System Design.

  • medium
  • Paradromics
  • System Design
  • Software Engineer

Design real-time modules communication and overload handling

Company: Paradromics

Role: Software Engineer

Category: System Design

Difficulty: medium

Interview Round: Technical Screen

You are designing a real-time system running on a single machine with two modules (e.g., producer -> consumer) that must communicate with low latency. 1) What communication mechanisms would you consider (in-process calls, threads + queues, IPC such as pipes/Unix domain sockets/shared memory, gRPC/HTTP on localhost), and how would you choose? 2) If one module becomes saturated (cannot keep up), how do you prevent the system from collapsing? Describe strategies such as buffering, backpressure, load shedding (dropping packets/messages), prioritization, and what metrics/signals you would use to trigger them.

Quick Answer: Evaluates understanding of low-latency inter-module communication and overload-mitigation concepts—concurrency models, IPC/selecting transport mechanisms, buffering and flow-control strategies—Category/domain: System Design.

Paradromics logo
Paradromics
Feb 6, 2026, 12:00 AM
Software Engineer
Technical Screen
System Design
1
0

You are designing a real-time system running on a single machine with two modules (e.g., producer -> consumer) that must communicate with low latency.

  1. What communication mechanisms would you consider (in-process calls, threads + queues, IPC such as pipes/Unix domain sockets/shared memory, gRPC/HTTP on localhost), and how would you choose?
  2. If one module becomes saturated (cannot keep up), how do you prevent the system from collapsing? Describe strategies such as buffering, backpressure, load shedding (dropping packets/messages), prioritization, and what metrics/signals you would use to trigger them.

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