Design a large-scale Content Delivery Platform

Last updated: October 21, 2025

Quick Overview

Design a fault-tolerant content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

SentinelOne
System Design
Software Engineer
SentinelOne
October 21, 2025
Software Engineer
Onsite
System Design
Medium

21

12

114 solved


Design a fault-tolerant content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

This is a common system design question asked during Onsite at SentinelOne. 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. SentinelOne values engineers who can think about scalability from day one.

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
Failure handling and fault tolerance
Database selection and data modeling
Monitoring, logging, and alerting
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 monitoring and alerting would you set up on day one?
  • What would the deployment pipeline look like for this system?
  • How do you ensure data consistency across multiple services?
  • What happens if one of your database nodes goes down?
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Sample Answer
Requirements

Functional Requirements

  1. Content Storage: The system must store various types of content (images, videos, documents) with metadata.
  2. Content Delivery: Serve content to millions of user...
Capacity Estimation

Back-of-Envelope Calculations

  1. Requests per Second (RPS): Assume 10 million QPS during peak hours.
  2. Storage Needs: If each content item averages 5 MB and we expect to store 1 billion i...

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