Design Data Pipeline Infrastructure for IoT devices
Last updated: August 7, 2025
Quick Overview
Design a distributed data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Datadog
System Design
Machine Learning Engineer
Datadog
August 7, 2025Machine Learning Engineer
Onsite
System Design
Easy
10
10
275 solved
Design a distributed data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
System design interviews at Datadog typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.
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
Load balancing and horizontal scaling
Requirements gathering and capacity estimation
Caching strategies (local, distributed, CDN)
Database selection and data modeling
Message queues and async processing
Monitoring, logging, and alerting
How to Approach This
- Start by clarifying functional and non-functional requirements with the interviewer.
- Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
- Draw a high-level architecture first, then deep dive into 1-2 critical components.
- Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
- Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
- What would the deployment pipeline look like for this system?
- How do you ensure data consistency across multiple services?
- What monitoring and alerting would you set up on day one?
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Requirements
Functional Requirements:
- Ingestion of IoT Device Data: The system must support the ingestion of telemetry data from millions of IoT devices in real-time.
- Data Transformation: Raw dat...
Capacity Estimation
Assuming we have:
- 10 million IoT devices sending data.
- Each device sends data once per second.
- Each message is approximately 1 KB in size.
Calculation:
- **Total messages per se...
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