Build a distributed Task Scheduling Pipeline
Last updated: March 15, 2026
Quick Overview
Design a distributed task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Amazon
March 15, 202610
6
3,955 solved
Design a distributed task scheduling 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 Amazon. 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. Amazon values engineers who can think about scalability from day one.
What the Interviewer Expects
- Drive the design discussion proactively with minimal interviewer guidance
- Perform detailed capacity estimation and use it to inform design decisions
- Design for global scale with multi-region deployment and data consistency
- Deep dive into 2-3 critical components with implementation-level detail
- Address complex trade-offs: CAP theorem, eventual consistency, conflict resolution
- Discuss operational excellence: deployment strategy, chaos engineering, SLOs/SLIs
- Propose a phased rollout plan from MVP to full-scale system
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 implement rate limiting to protect the system?
- What happens if one of your database nodes goes down?
- How do you ensure data consistency across multiple services?
- What monitoring and alerting would you set up on day one?
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Requirements
Functional Requirements
- Task Submission: Users can submit tasks for scheduling through an API.
- Task Execution: The system should execute and track the status of each task.
- **Retry...
Capacity Estimation
Assuming we expect around 1 billion task submissions per day:
- Tasks per second: 1 billion / (24 hours * 3600 seconds) = ~11,574 tasks/second.
- Concurrent Tasks: If the average task executio...
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