Build a geo-distributed Image Processing Pipeline
Last updated: November 22, 2025
Quick Overview
Design a geo-distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Slack
November 22, 202523
3
1,243 solved
Design a geo-distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Technical Screen at Slack. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Slack values engineers who can think about scalability from day one.
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
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- How would you migrate from a monolithic to a microservices architecture?
- What would the deployment pipeline look like for this system?
- How would you implement rate limiting to protect the system?
- How would you handle a region-wide outage?
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Requirements
- Functional Requirements:
- Process image uploads from users across the globe, supporting formats like JPEG, PNG, and GIF.
- Apply transformations such as resizing, cropping, and format...
Capacity Estimation
Assuming Slack has roughly 10 million daily active users, and each user uploads about 0.5 images per day on average:
- Daily Image Uploads: 10M users * 0.5 images/user = 5 million images/day
- *...
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