Design a geo-distributed Image Processing System
Last updated: December 23, 2025
Quick Overview
Design a geo-distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Netflix
System Design
Machine Learning Engineer
Netflix
December 23, 2025Machine Learning Engineer
Technical Screen
System Design
Medium
72
9
2,195 solved
Design a geo-distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Netflix 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
- Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
- Design a scalable architecture with clear component responsibilities
- Make well-reasoned database and caching decisions with trade-off analysis
- Address consistency vs availability trade-offs specific to the use case
- Discuss partitioning strategy, replication, and data modeling
- Cover failure handling, monitoring, and alerting strategies
Key Topics to Cover
Caching strategies (local, distributed, CDN)
Message queues and async processing
High-level architecture and component design
API design and rate limiting
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 do you ensure data consistency across multiple services?
- How would you handle a 10x increase in traffic overnight?
- What monitoring and alerting would you set up on day one?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements
- Functional Requirements:
- Process images from users in real-time (upload, edit, and transform).
- Support various image formats (JPEG, PNG, GIF).
- Provide APIs for image uploads, transfo...
Capacity Estimation
- Estimating Requests:
- Assume 1 million daily active users.
- Each user uploads and processes 5 images per day on average.
- Total requests = 1 million * 5 = 5 million requests/day.
- Th...
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