Design Search Infrastructure for microservices
Last updated: February 10, 2026
Quick Overview
Design a geo-distributed search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Salesforce
February 10, 2026106
14
4,783 solved
Design a geo-distributed search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Technical Screen at Salesforce. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. Salesforce values engineers who can think about scalability from day one.
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
- How would you implement rate limiting to protect the system?
- How would you handle a region-wide outage?
- What happens if one of your database nodes goes down?
- How would you optimize costs as the system scales?
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Requirements
Functional Requirements:
- Search Functionality: The system must support keyword-based searches across various data types (e.g., leads, opportunities, accounts).
- Geo-Distribution: Must...
Capacity Estimation
- User Base: Estimate 1 million active users.
- Search Requests: Assume 10% of users perform searches at peak times, leading to 100,000 concurrent searches.
- QPS Calculation: With 10,0...
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