Design Data Pipeline Infrastructure for IoT devices

Last updated: January 16, 2026

Quick Overview

Design a low-latency data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Zillow
System Design
Software Engineer
Zillow
January 16, 2026
Software Engineer
System Design Round
System Design
Easy

180

12

257 solved


Design a low-latency data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Zillow asks this during the System Design Round to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.

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
Consistency models and replication
Requirements gathering and capacity estimation
Message queues and async processing
Database selection and data modeling
Failure handling and fault tolerance
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
  • How would you handle schema migrations with zero downtime?
  • How would you handle a 10x increase in traffic overnight?
  • How do you ensure data consistency across multiple services?
  • How would you implement rate limiting to protect the system?
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Sample Answer
Requirements
  • Functional Requirements:
    • Ingest real-time data from millions of IoT devices (e.g., smart thermostats, sensors).
    • Process and store the data for analytical queries and real-time monitoring...
Capacity Estimation
  • Assumptions:

    • Each IoT device sends data every 5 seconds.
    • There are 10 million active devices.
  • Data Ingestion Rate:

    • Total messages per second = 10 million devices / 5 seconds =...

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