Design a Image Processing Service
Last updated: March 25, 2026
Quick Overview
Design a distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
HRT
System Design
Software Engineer
HRT
March 25, 2026Software Engineer
Technical Screen
System Design
Medium
70
12
681 solved
Design a distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at HRT 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
High-level architecture and component design
Load balancing and horizontal scaling
Failure handling and fault tolerance
Caching strategies (local, distributed, CDN)
Message queues and async processing
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?
- What happens if one of your database nodes goes down?
- How would you handle a 10x increase in traffic overnight?
- How would you handle schema migrations with zero downtime?
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Requirements
- Functional Requirements:
- Users can upload images for processing (e.g., resizing, filtering, watermarking).
- Provide a REST API for uploading images and retrieving processed results.
- S...
Capacity Estimation
- Requests per Second (RPS): Assuming 10 million requests per day, this translates to ~115 requests per second (10,000,000 / 86,400 seconds).
- Image Size: Assuming an average image size of 50...
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