Design a Image Processing for OpenAI
Last updated: March 9, 2026
Quick Overview
Design a event-driven image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
OpenAI
March 9, 2026466
11
2,942 solved
Design a event-driven image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at OpenAI 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
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?
- What monitoring and alerting would you set up on day one?
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Requirements
Functional Requirements
- Image Upload: Users can upload images for processing.
- Image Processing: Support various processing tasks like resizing, filtering, and watermarking.
- **Even...
Capacity Estimation
Assuming OpenAI expects to handle 10 million image processing requests daily:
- QPS Calculation:
- Daily requests: 10,000,000
- Peak Load: 20% of daily traffic in peak hours
- Peak reques...
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