Design a Load Balancing for Bloomberg
Last updated: January 1, 2026
Quick Overview
Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Bloomberg
January 1, 202663
10
2,356 solved
Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Bloomberg asks this during the Onsite 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
- 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
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 handle a 10x increase in traffic overnight?
- How would you optimize costs as the system scales?
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Requirements
Functional Requirements
- High Throughput: The system must handle millions of requests per second (QPS) from Bloomberg's various financial data services.
- Dynamic Load Balancing: The lo...
Capacity Estimation
Assuming Bloomberg processes around 10 million requests per minute during peak hours:
- Requests Per Second (RPS): 10 million / 60 = ~166,667 RPS.
- If each request is approximately 1 KB in size, ...
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