Architect a geo-distributed Monitoring Engine
Last updated: June 1, 2026
Quick Overview
Design a geo-distributed monitoring system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Grafana Labs
System Design
Software Engineer
Grafana Labs
June 1, 2026Software Engineer
Technical Screen
System Design
Medium
3
14
3,694 solved
Design a geo-distributed monitoring system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Grafana Labs asks this during the Technical Screen to assess your architectural thinking. They want to see how you decompose a complex problem, choose appropriate technologies, and reason about failure modes. Strong candidates proactively discuss monitoring, alerting, and operational concerns.
What the Interviewer Expects
- Systematically gather requirements and estimate capacity (QPS, storage, bandwidth)
- Design a scalable architecture with clear component responsibilities
- Make well-reasoned database and caching decisions with trade-off analysis
- Address consistency vs availability trade-offs specific to the use case
- Discuss partitioning strategy, replication, and data modeling
- Cover failure handling, monitoring, and alerting strategies
Key Topics to Cover
Partitioning and sharding strategies
Load balancing and horizontal scaling
Caching strategies (local, distributed, CDN)
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 implement rate limiting to protect the system?
- What happens if one of your database nodes goes down?
- How would you migrate from a monolithic to a microservices architecture?
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Requirements
Functional Requirements
- Real-time Monitoring: The system should monitor metrics (CPU, memory, network, etc.) from distributed sources and provide real-time dashboards.
- **Alerting Mechani...
Capacity Estimation
Back-of-Envelope Calculations
- User Base: Assume 10,000 organizations with an average of 100 users each, totaling 1,000,000 users.
- Request Patterns: Each user generates an average of ...
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