Design a multi-tenant Data Pipeline System
Last updated: April 18, 2026
Quick Overview
Design a multi-tenant data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
CrowdStrike
April 18, 202672
13
1,401 solved
Design a multi-tenant data pipeline system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Technical Screen at CrowdStrike. The interviewer expects you to demonstrate your ability to design large-scale distributed systems, make well-reasoned trade-offs, and communicate your thought process clearly. CrowdStrike values engineers who can think about scalability from day one.
What the Interviewer Expects
- Drive the design discussion proactively with minimal interviewer guidance
- Perform detailed capacity estimation and use it to inform design decisions
- Design for global scale with multi-region deployment and data consistency
- Deep dive into 2-3 critical components with implementation-level detail
- Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
- Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
- Propose a phased rollout plan from MVP to full-scale system
Key Topics to Cover
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
- How would you handle a 10x increase in traffic overnight?
- How would you handle schema migrations with zero downtime?
- How would you optimize costs as the system scales?
- How would you handle a region-wide outage?
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Requirements
- Functional Requirements:
- Support multi-tenancy to allow different clients to have isolated data pipelines.
- Ingest data from multiple sources (APIs, streaming data, batch uploads) and pro...
Capacity Estimation
- Assuming an average of 10 million requests per day, we can estimate the system's capacity needs as follows:
- Requests per second (RPS): 10 million requests / 86400 seconds = ~115.74 RPS.
- ...
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