Build a scalable Messaging Pipeline
Last updated: March 10, 2026
Quick Overview
Design a scalable messaging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Grafana Labs
March 10, 20269
9
2,349 solved
Design a scalable messaging 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 Grafana Labs. 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. Grafana Labs values engineers who can think about scalability from day one.
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
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 monitoring and alerting would you set up on day one?
- What happens if one of your database nodes goes down?
- How do you ensure data consistency across multiple services?
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Requirements
Functional Requirements:
- Message Ingestion: The system should accept messages from multiple sources, including REST APIs and WebSocket connections.
- Message Queueing: Messages must be...
Capacity Estimation
To estimate capacity, consider the following:
- Daily Message Volume: Assume 10 million messages per day.
- Peak Message Rate: Assume peak traffic occurs during specific hours, say 1,000 messa...
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