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Meta·Software Engineer·Onsite - System Design / Architecture·Staff

Staff
Jun 2026

Summary

Meta EM interview with a system design question focused on API design for Facebook Live commenting. Pretty lean on details but the core problem was meaty enough to chew on for a while.

Questions Asked (1)

Q1

Design the APIs for Facebook Live commenting.

API & IntegrationsSystem DesignTechnical Trade-offs
Author's notes

This one has more surface area than it looks.

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AI HintsAI Generated

Suggested Approach

Start by clarifying the scope and requirements of Facebook Live commenting, such as scale, real-time delivery, and moderation needs. Then design the core APIs for posting, retrieving, and moderating comments, focusing on trade-offs between consistency, latency, and scalability. Finally, discuss how the APIs integrate with Facebook's existing infrastructure and handle edge cases like high traffic and spam.

Pro tip: Emphasize idempotency and rate limiting in your API design to prevent duplicate comments and abuse, showing you understand production challenges. Also, mention how you would leverage Facebook's existing systems (e.g., Graph API, Thrift) to avoid reinventing the wheel.

1. Clarify Requirements

Ask questions to understand the scale (e.g., millions of concurrent viewers), latency requirements (real-time vs. eventual consistency), and features (replies, reactions, moderation). This ensures your design meets actual needs.

2. Define Core APIs

Outline the essential endpoints: POST /live/{video_id}/comments for posting, GET /live/{video_id}/comments for retrieval (with pagination), and DELETE /comments/{comment_id} for deletion. Specify request/response schemas and status codes.

3. Address Real-Time Delivery

Discuss how comments are pushed to viewers in real-time, using WebSockets or long polling. Explain the trade-offs between push and pull models and how to handle ordering and delivery guarantees.

4. Handle Scale and Reliability

Describe strategies for scaling, such as sharding by video ID, caching, and using a message queue for asynchronous processing. Mention idempotency keys and rate limiting to ensure reliability.

5. Discuss Moderation and Security

Explain how to integrate moderation APIs (e.g., for spam detection, profanity filtering) and authentication/authorization (e.g., OAuth tokens). Consider privacy and data retention policies.

Key Points to Mention

  • Idempotency and deduplication to prevent duplicate comments
  • Rate limiting per user and per video to mitigate abuse
  • Pagination strategies (cursor-based vs. offset-based) for comment retrieval
  • Real-time delivery mechanisms (WebSockets, long polling) and their trade-offs
  • Moderation integration (e.g., machine learning models, user reporting)
  • Scalability considerations: sharding, caching, and asynchronous processing

AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.