Design a Monitoring Service

Last updated: January 5, 2026

Quick Overview

Design a event-driven monitoring system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

Workday
System Design
Machine Learning Engineer
Workday
January 5, 2026
Machine Learning Engineer
Onsite
System Design
Medium

413

6

469 solved


Design a event-driven monitoring system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.

System design interviews at Workday typically last 45-60 minutes. You are expected to drive the conversation, starting from requirements gathering through to a detailed architecture. The interviewer will evaluate your ability to handle ambiguity and make practical engineering decisions.

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
Caching strategies (local, distributed, CDN)
Load balancing and horizontal scaling
High-level architecture and component design
Consistency models and replication
API design and rate limiting
How to Approach This
  1. Start by clarifying functional and non-functional requirements with the interviewer.
  2. Estimate the scale: QPS, storage, bandwidth. This drives your design decisions.
  3. Draw a high-level architecture first, then deep dive into 1-2 critical components.
  4. Discuss trade-offs explicitly (e.g., consistency vs availability, SQL vs NoSQL).
  5. Address failure scenarios, monitoring, and how the system handles 10x traffic spikes.
Possible Follow-up Questions
  • What would the deployment pipeline look like for this system?
  • How would you handle a region-wide outage?
  • How do you ensure data consistency across multiple services?
Practice a Similar Problem on Codemia

Solve a related problem with our interactive workspace, get AI feedback, and view detailed solutions.

Solve on Codemia
Sample Answer
Requirements

Functional Requirements

  1. Event Processing: The system must handle millions of events per second (EPS) from various sources (e.g., application logs, user activities, system metrics).
  2. **Rea...
Capacity Estimation

Assuming an average event size of 1KB:

  • Requests per Second (QPS): Let's estimate processing 5 million events per minute, which translates to approximately 83,333 EPS.
  • Storage Calculation: ...

Submit Your Answer
Markdown supported

Related Questions