Build a fault-tolerant Feed Generation Pipeline
Last updated: March 29, 2026
Quick Overview
Design a fault-tolerant feed generation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Zscaler
March 29, 2026128
5
719 solved
Design a fault-tolerant feed generation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This fundamentals question from Zscaler's Technical Screen tests whether you can reason about software design at a deep level. The interviewer expects discussion of maintainability, testability, and operational considerations.
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
- How would you measure the performance of this component in production?
- How would you handle backward compatibility?
- How would this design change if the team size doubled?
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Core Design Principles
The core design principles that apply to the fault-tolerant Feed Generation Pipeline include SOLID principles, particularly the Single Responsibility Principle and **Dependency Inversion Princ...
Architecture
The architectural approach for the Feed Generation Pipeline will be a microservices architecture. Each service is responsible for a specific part of the feed generation process, such as data inges...