Design a real-time Image Processing System

Last updated: March 16, 2026

Quick Overview

Design a real-time image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Slack
System Design
Machine Learning Engineer
Slack
March 16, 2026
Machine Learning Engineer
Onsite
System Design
Easy

36

11

2,488 solved


Design a real-time image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

System design interviews at Slack typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.

What the Interviewer Expects
  • Clearly define functional and non-functional requirements
  • Propose a reasonable high-level architecture with core components
  • Choose appropriate data storage solutions with basic justification
  • Discuss basic scaling strategies (horizontal scaling, caching)
  • Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
Requirements gathering and capacity estimation
Monitoring, logging, and alerting
High-level architecture and component design
Load balancing and horizontal scaling
Partitioning and sharding strategies
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • How would you handle a 10x increase in traffic overnight?
  • How would you handle a region-wide outage?
  • What monitoring and alerting would you set up on day one?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For real-time Image Processing System, key functional requirements includ...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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