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

Functional Requirements:

  1. Real-Time Processing: The system must process images in real time, with a target latency of under 200 milliseconds per image.
  2. Image Manipulations: Support ba...
Capacity Estimation

Assuming Slack processes approximately 50 million images per day:

  • Daily Requests: 50 million images/day = 50,000,000 requests.
  • Requests per Second (RPS): 50,000,000 requests/day / 86400 se...

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