Design Inventory Management Infrastructure for IoT devices

Last updated: February 23, 2026

Quick Overview

Design a fault-tolerant inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Cockroach Labs
System Design
Software Engineer
Cockroach Labs
February 23, 2026
Software Engineer
Onsite
System Design
Hard

28

9

357 solved


Design a fault-tolerant inventory management system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

ML system design at Cockroach Labs goes beyond model selection. This Onsite question evaluates your ability to design end-to-end ML pipelines, from data collection to model serving, while considering production constraints like latency and reliability.

What the Interviewer Expects
  • Design the full ML lifecycle from data collection to model monitoring
  • Address cold start, exploration/exploitation, and model freshness
  • Discuss multi-objective optimization and ranking systems
  • Plan for model debugging, fairness, and bias mitigation
  • Design the feature store and training pipeline for scale
  • Address model versioning, canary deployments, and rollback strategies
  • Discuss the data flywheel and long-term system evolution
Key Topics to Cover
ML objective formulation and metric selection
Data collection and labeling strategy
Feedback loops and model retraining
Model serving and latency optimization
Model selection and architecture
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 is your model retraining strategy?
  • How would you handle the cold start problem?
  • How would you ensure fairness and reduce bias in the model?
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Sample Answer
Requirements Clarification

Before diving into the architecture, clarify the scope with the interviewer. For Inventory Management Infrastructure for IoT devices, key functional r...

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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