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Design config rollout and click aggregation

Last updated: Apr 6, 2026

Quick Overview

This question evaluates system design and data engineering competencies, focusing on distributed systems, global configuration management, deployment safety (versioning, staged rollout, rollback), and high-throughput event ingestion and aggregation for real-time metrics.

  • hard
  • Netflix
  • System Design
  • Data Engineer

Design config rollout and click aggregation

Company: Netflix

Role: Data Engineer

Category: System Design

Difficulty: hard

Interview Round: Onsite

The system design rounds included two prompts: 1. **Global configuration deployment** - Design a system that allows engineers to publish configuration changes and roll them out safely to services running in many regions worldwide. - Support versioning, staged rollout, rollback, validation, audit history, and fast propagation. - Explain how to balance safety, consistency, and rollout speed. 2. **Ads click event aggregation** - Design a system that ingests a very high volume of ad click events and produces aggregated metrics such as counts per campaign, ad, region, and time window. - Support near-real-time dashboards, fault tolerance, deduplication, late-arriving events, and horizontal scaling.

Quick Answer: This question evaluates system design and data engineering competencies, focusing on distributed systems, global configuration management, deployment safety (versioning, staged rollout, rollback), and high-throughput event ingestion and aggregation for real-time metrics.

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Netflix logo
Netflix
Dec 13, 2025, 12:00 AM
Data Engineer
Onsite
System Design
5
0
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The system design rounds included two prompts:

  1. Global configuration deployment
    • Design a system that allows engineers to publish configuration changes and roll them out safely to services running in many regions worldwide.
    • Support versioning, staged rollout, rollback, validation, audit history, and fast propagation.
    • Explain how to balance safety, consistency, and rollout speed.
  2. Ads click event aggregation
    • Design a system that ingests a very high volume of ad click events and produces aggregated metrics such as counts per campaign, ad, region, and time window.
    • Support near-real-time dashboards, fault tolerance, deduplication, late-arriving events, and horizontal scaling.

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