Build a fault-tolerant Monitoring Pipeline
Last updated: April 30, 2026
Quick Overview
Design a fault-tolerant monitoring system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Grafana Labs
April 30, 20266
14
1,498 solved
Design a fault-tolerant monitoring 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 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
- 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
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 handle a region-wide outage?
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Requirements
Functional Requirements
- Data Ingestion: The system must handle millions of metric data points per second from various sources (e.g., applications, servers, IoT devices).
- Data Storage...
Capacity Estimation
Assuming Grafana Labs receives metric data from 1 million devices, each sending data 1 time per second:
- QPS: 1,000,000 requests/second
- Data Size: Assuming each data point is 100 bytes, the...
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