Design a geo-distributed Caching System
Last updated: January 18, 2026
Quick Overview
Design a geo-distributed caching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Bloomberg
System Design
Software Engineer
Bloomberg
January 18, 2026Software Engineer
System Design Round
System Design
Easy
578
11
3,089 solved
Design a geo-distributed caching system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Bloomberg 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
Security and authentication
High-level architecture and component design
API design and rate limiting
Database selection and data modeling
Message queues and async processing
Partitioning and sharding strategies
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?
- How would you optimize costs as the system scales?
- How would you migrate from a monolithic to a microservices architecture?
- What monitoring and alerting would you set up on day one?
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Requirements
Functional Requirements:
- Geo-Distributed Caching: The system must cache data across multiple geographical locations to minimize latency for users in different regions.
- **Data Consistency...
Capacity Estimation
Back-of-Envelope Calculations:
- Estimated Users: Assume 1 million users accessing the system.
- Requests per User: An average of 10 requests per user per minute.
- **Total Requests per Mi...
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