Build a geo-distributed Load Balancing Pipeline
Last updated: January 20, 2026
Quick Overview
Design a geo-distributed load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Postmates
January 20, 20264
3
2,764 solved
Design a geo-distributed load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Postmates asks this during the System Design Round to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.
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
- How do you ensure data consistency across multiple services?
- What monitoring and alerting would you set up on day one?
- How would you handle a 10x increase in traffic overnight?
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Requirements
Functional Requirements:
- Load Balancing: Distribute incoming requests across multiple geo-distributed servers based on load and latency.
- Health Checks: Regularly monitor the health of ...
Capacity Estimation
Assuming Postmates handles 10 million requests daily:
- Requests per second (RPS): 10,000,000 requests / (24 hours * 3600 seconds) = ~115.74 RPS.
- Geo-Distribution: If we distribute traffic a...
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