Build a real-time Content Delivery Pipeline
Last updated: May 10, 2026
Quick Overview
Design a real-time content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Postmates
May 10, 202616
9
2,379 solved
Design a real-time content delivery system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Postmates 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
- Clearly define functional and non-functional requirements
- Propose a reasonable high-level architecture with core components
- Choose appropriate data storage solutions with basic justification
- Discuss basic scaling strategies (horizontal scaling, caching)
- Identify potential bottlenecks and suggest simple solutions
Key Topics to Cover
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
- What would the deployment pipeline look like for this system?
- How would you implement rate limiting to protect the system?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements
- Real-time Content Delivery: The system must deliver content (images, videos, text) to users with low latency.
- User Personalization: The system should serve pe...
Capacity Estimation
Assuming Postmates has 10 million active users:
- Daily Requests: If each user makes 10 requests per day, that leads to 100 million requests daily.
- Peak Load: During peak hours, let's esti...
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