Build a high-throughput Load Balancing Pipeline
Last updated: April 27, 2026
Quick Overview
Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Palantir
April 27, 202636
6
4,921 solved
Design a high-throughput load balancing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Software engineering fundamentals questions at Palantir test your understanding of core CS concepts and their practical application. This System Design Round question evaluates how you apply engineering principles to build maintainable, scalable software.
What the Interviewer Expects
- Apply engineering principles to a realistic design scenario
- Discuss trade-offs between different approaches with concrete examples
- Demonstrate understanding of testability, maintainability, and extensibility
- Connect theoretical concepts to production engineering practices
- Discuss how the approach scales with team and codebase size
Key Topics to Cover
How to Approach This
- Apply SOLID principles. Single Responsibility makes code testable, Open/Closed makes it extensible.
- Choose data structures based on access patterns, not familiarity.
- Prefer immutable data and message passing over shared mutable state for concurrency.
- Design APIs with RESTful conventions, versioning, meaningful errors, and pagination from day one.
Possible Follow-up Questions
- What testing strategy would you use for this component?
- What are the security implications of this design?
- How would this design change if the team size doubled?
Practice a Similar Problem on Codemia
Solve a related problem with our interactive workspace, get AI feedback, and view detailed solutions.
Solve on CodemiaSample Answer
Core Design Principles
For the high-throughput load balancing system at Palantir, the following core design principles apply:
- Scalability: The system must efficiently handle millions of requests, requiring horizonta...
Architecture
The architecture for the load balancing pipeline will be based on a microservices approach:
- Load Balancer Layer: A layer of multiple load balancers (e.g., NGINX or HAProxy) distributes incoming...