Design a large-scale Search Platform
Last updated: July 18, 2025
Quick Overview
Design a low-latency search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Palantir
July 18, 2025130
15
222 solved
Design a low-latency search system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Palantir 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 would you handle a region-wide outage?
- How would you migrate from a monolithic to a microservices architecture?
- What happens if one of your database nodes goes down?
- How do you ensure data consistency across multiple services?
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Requirements
Functional Requirements
- Search Functionality: Users must be able to search for documents, data, and reports using keywords, phrases, and filters (date, relevance).
- Real-time Indexing...
Capacity Estimation
Assuming Palantir handles approximately 10 million search requests per day:
- Requests per second: 10,000,000 requests / 86400 seconds = ~115.74 requests/second.
- Peak Load: If we expect peak...
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