Design a large-scale Image Processing Platform
Last updated: August 4, 2025
Quick Overview
Design a geo-distributed image processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Databricks
System Design
Software Engineer
Databricks
August 4, 2025Software Engineer
Onsite
System Design
Medium
35
11
605 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 Databricks 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
Consistency models and replication
Database selection and data modeling
API design and rate limiting
Monitoring, logging, and alerting
High-level architecture and component design
Security and authentication
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 handle schema migrations with zero downtime?
- What would the deployment pipeline look like for this system?
- What happens if one of your database nodes goes down?
- How do you ensure data consistency across multiple services?
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Requirements
Functional Requirements:
- Image Upload: Users can upload images via a RESTful API.
- Image Processing: The system should support various processing tasks such as resizing, filtering, an...
Capacity Estimation
Back-of-Envelope Calculations:
- Requests Per Second (RPS): Assuming 1 million daily requests, the average RPS would be:
- 1,000,000 requests / 86,400 seconds = ~11.57 RPS.
- Peak load ...
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