Architect a high-throughput Content Delivery Engine
Last updated: May 14, 2026
Quick Overview
Design a high-throughput content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
SentinelOne
System Design
Software Engineer
SentinelOne
May 14, 2026Software Engineer
System Design Round
System Design
Medium
38
6
2,176 solved
Design a high-throughput content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at SentinelOne 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
Monitoring, logging, and alerting
Database selection and data modeling
API design and rate limiting
Consistency models and replication
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 a 10x increase in traffic overnight?
- How would you handle a region-wide outage?
- How do you ensure data consistency across multiple services?
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Requirements
Functional Requirements:
- High Throughput: The system must handle millions of requests per second (QPS) for delivering content such as software updates and threat intelligence data.
- **Con...
Capacity Estimation
Back-of-Envelope Calculations:
- Expected QPS: Let's estimate around 5 million requests per second during peak times.
- Content Size: Assume average content size is 1 MB.
- **Total Daily T...
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