Build a event-driven Feature Flag Pipeline

Last updated: October 11, 2025

Quick Overview

Design a event-driven feature flag system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Zillow
System Design
Software Engineer
Zillow
October 11, 2025
Software Engineer
Technical Screen
System Design
Easy

23

14

4,073 solved


Design a event-driven feature flag 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 Zillow. 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. Zillow values engineers who can think about scalability from day one.

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
Requirements gathering and capacity estimation
Load balancing and horizontal scaling
Database selection and data modeling
High-level architecture and component design
Partitioning and sharding strategies
Consistency models and replication
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • What monitoring and alerting would you set up on day one?
  • How would you optimize costs as the system scales?
  • How do you ensure data consistency across multiple services?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For event-driven Feature Flag Pipeline, key functional requirements inclu...

Capacity Estimation

Estimate the scale to drive design decisions. Assume 100M DAU with an average of 10 actions per user per day = 1B requests/day ~ 12K QPS average, ~36K...


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