Design a Task Scheduling for Oracle
Last updated: August 23, 2025
Quick Overview
Design a geo-distributed task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Oracle
August 23, 20250
7
4,574 solved
Design a geo-distributed task scheduling system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Oracle asks this during the System Design Round 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
- 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 happens if one of your database nodes goes down?
- How would you handle a region-wide outage?
- What monitoring and alerting would you set up on day one?
- How would you optimize costs as the system scales?
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Requirements
Functional Requirements
- Task Creation: Users must be able to submit tasks with parameters specifying the execution time, frequency, and priority.
- Task Scheduling: The system should s...
Capacity Estimation
Given that we aim to handle millions of requests daily, let's break it down:
- Assumption: 1 million tasks per day.
- Requests per second: 1,000,000 tasks / 86,400 seconds ≈ 12 requests per se...
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