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How would you scale rule evaluation?

Last updated: Apr 22, 2026

Quick Overview

This System Design question evaluates a candidate's ability to design a scalable rule-evaluation system, testing competencies in distributed systems, rule engines, performance engineering, data indexing and partitioning, batching, and safe state propagation for high-throughput, low-latency workloads.

  • easy
  • Rippling
  • System Design
  • Software Engineer

How would you scale rule evaluation?

Company: Rippling

Role: Software Engineer

Category: System Design

Difficulty: easy

Interview Round: Technical Screen

Assume the same expense-policy rule engine must now support up to 1,000,000 active rules and efficiently evaluate batches of around 1,000 expense records. Discuss how you would design the system so that it scales in practice. Your answer should cover: - how rules are stored and represented; - how to avoid scanning every rule for every expense; - how grouped rules are evaluated efficiently; - batching, indexing, and partitioning strategies; - how rule updates are propagated safely; - key latency, throughput, and reliability considerations.

Quick Answer: This System Design question evaluates a candidate's ability to design a scalable rule-evaluation system, testing competencies in distributed systems, rule engines, performance engineering, data indexing and partitioning, batching, and safe state propagation for high-throughput, low-latency workloads.

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Rippling
Apr 17, 2025, 12:00 AM
Software Engineer
Technical Screen
System Design
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Assume the same expense-policy rule engine must now support up to 1,000,000 active rules and efficiently evaluate batches of around 1,000 expense records.

Discuss how you would design the system so that it scales in practice. Your answer should cover:

  • how rules are stored and represented;
  • how to avoid scanning every rule for every expense;
  • how grouped rules are evaluated efficiently;
  • batching, indexing, and partitioning strategies;
  • how rule updates are propagated safely;
  • key latency, throughput, and reliability considerations.

Solution

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