Design LinkedIn Messaging
Last updated: January 28, 2026
Quick Overview
Design the architecture for LinkedIn Messaging. Cover scalability, data storage, caching, and real-time requirements.
LinkedIn
System Design
Software Engineer
Software Engineer
Onsite
System Design
Hard
34
12
3,075 solved
Design the architecture for LinkedIn Messaging. Cover scalability, data storage, caching, and real-time requirements.
This is a common system design question asked during Onsite at LinkedIn. 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. LinkedIn 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
Consistency models and replication
API design and rate limiting
Load balancing and horizontal scaling
High-level architecture and component design
Security and authentication
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 schema migrations with zero downtime?
- What monitoring and alerting would you set up on day one?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements
Functional Requirements
- User Messaging: Users can send, receive, and view messages in real-time.
- Group Chats: Support for group messaging where multiple users can participate.
- **N...
Capacity Estimation
User Base Assumptions
- Active Users: 800 million users on LinkedIn.
- Daily Active Users (DAU): Approximately 50% of active users, i.e., 400 million.
- Messages per User: Average of 1...
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