Build a real-time Order Processing Pipeline
Last updated: May 7, 2026
Quick Overview
Design a real-time order processing system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
ServiceNow
May 7, 202696
13
3,551 solved
Design a real-time order processing 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 ServiceNow. 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. ServiceNow 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 would the deployment pipeline look like for this system?
- How do you ensure data consistency across multiple services?
- How would you handle schema migrations with zero downtime?
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Requirements
Functional Requirements
- Order Submission: Users can create, update, and cancel orders in real-time.
- Order Confirmation: Once an order is processed, the system should send confirmatio...
Capacity Estimation
To estimate capacity, let's assume:
- Daily Active Users (DAU): 1 million users
- Orders per User: Each user places an average of 5 orders per day.
- Total Orders: 1 million users * 5 orde...
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