Design a Analytics for Spotify
Last updated: November 8, 2025
Quick Overview
Design a distributed analytics system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Spotify
November 8, 202535
13
2,734 solved
Design a distributed analytics system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
This is a common system design question asked during Onsite at Spotify. 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. Spotify 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 migrate from a monolithic to a microservices architecture?
- What happens if one of your database nodes goes down?
- What would the deployment pipeline look like for this system?
- What monitoring and alerting would you set up on day one?
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Requirements
Functional Requirements
- User Analytics: Track user interactions (plays, skips, likes, shares) in real-time.
- Playlist Analytics: Analyze playlist performance metrics (plays per playli...
Capacity Estimation
Back-of-Envelope Calculations
- User Base: Assume 500 million active users.
- Analytics Events: Each user generates approximately 10 events per day (plays, skips, etc.).
- **Total Event...
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