Architect a real-time File Storage Engine

Last updated: February 21, 2026

Quick Overview

Design a real-time file storage system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Supabase
System Design
Software Engineer
Supabase
February 21, 2026
Software Engineer
System Design Round
System Design
Hard

138

7

1,630 solved


Design a real-time file storage system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This is a common system design question asked during System Design Round at Supabase. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Supabase values engineers who can think about scalability from day one.

What the Interviewer Expects
  • Drive the design discussion proactively with minimal interviewer guidance
  • Perform detailed capacity estimation and use it to inform design decisions
  • Design for global scale with multi-region deployment and data consistency
  • Deep dive into 2-3 critical components with implementation-level detail
  • Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
  • Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
  • Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
Load balancing and horizontal scaling
Consistency models and replication
Security and authentication
Message queues and async processing
Database selection and data modeling
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • What happens if one of your database nodes goes down?
  • How would you migrate from a monolithic to a microservices architecture?
  • How would you implement rate limiting to protect the system?
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Sample Answer
Requirements

Functional Requirements

  1. Real-time Upload & Download: Users must be able to upload and download files with minimal latency.
  2. Multi-Region Support: The system should support file storag...
Capacity Estimation

To estimate capacity, let's consider the following:

  • User Base: Assume 10 million users.
  • Daily Active Users (DAU): 20% of users will access the system daily, resulting in 2 million DAUs. -...

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