Design File Storage Infrastructure for real-time analytics
Last updated: September 2, 2025
Quick Overview
Design a real-time file storage system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Netflix
System Design
Software Engineer
Netflix
September 2, 2025Software Engineer
Technical Screen
System Design
Medium
2
13
2,423 solved
Design a real-time file storage system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Netflix 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
Requirements gathering and capacity estimation
Partitioning and sharding strategies
Security and authentication
Database selection and data modeling
Consistency models and replication
API design and rate limiting
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 implement rate limiting to protect the system?
- What would the deployment pipeline look like for this system?
- How would you handle schema migrations with zero downtime?
- How do you ensure data consistency across multiple services?
Practice a Similar Problem on Codemia
Solve a related problem with our interactive workspace, get AI feedback, and view detailed solutions.
Solve on CodemiaSample Answer
Requirements
Functional Requirements
- Real-time Data Ingestion: The system must accept millions of incoming analytics data files per day, with minimal latency.
- File Retrieval: Users should be able...
Capacity Estimation
Back-of-Envelope Calculations
- Request Rate: Assume 1 million users, each generating 10 files per day. This leads to 10 million files daily.
- Requests Per Second (QPS):
- Daily req...
Submit Your Answer
Markdown supported