Design a Image Processing Service
Last updated: November 17, 2025
Quick Overview
Design a distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise
November 17, 202567
4
659 solved
Design a distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Cruise asks this during the Onsite to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.
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 do you ensure data consistency across multiple services?
- How would you handle a region-wide outage?
- 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
- Image Upload: Users must be able to upload images to the service.
- Image Processing: The service should support various processing tasks, such as resizing, cro...
Capacity Estimation
Assuming Cruise handles 10 million requests per day:
- Requests per Second (QPS): 10,000,000 requests / 86400 seconds = ~115.7 QPS.
- Storage Requirements: If an average image size is 1MB and ...
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