Scale a rules engine for high traffic

Q: Scale a rules engine for high traffic

This question evaluates understanding of scalable real-time system design, distributed architectures, consistency versus latency trade-offs, caching and compilation strategies for rule engines, and operational concerns such as observability and failure handling.

Q: How do I approach System Design interview questions?

System Design questions require understanding of core concepts and practice. PracHub provides solutions with explanations to help you master system design interviews.

Question

Loading...

Follow-up: scaling

Assume the expense rules evaluator will be used in production and must support large-scale access.

Design a high-level system that can:

Evaluate rules for new expenses in near real-time (e.g., at authorization time or shortly after purchase)
Support frequent reads (e.g., dashboards showing violations)
Allow admins to create/update rules via an API
Remain reliable under high QPS and large volumes of expenses

Discuss:

architecture and components
data storage
caching/compilation of rules
consistency/latency tradeoffs
observability and failure handling

Scale a rules engine for high traffic

Quick Overview

Follow-up: scaling

Solution

Comments (0)