Design a large-scale Feed Generation Platform
Last updated: September 1, 2025
Quick Overview
Design a real-time feed generation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Palo Alto Networks
System Design
Software Engineer
Palo Alto Networks
September 1, 2025Software Engineer
Onsite
System Design
Medium
103
14
4,353 solved
Design a real-time feed generation system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Palo Alto Networks asks this during the Onsite 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
- 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)
High-level architecture and component design
Partitioning and sharding strategies
Requirements gathering and capacity estimation
Security and authentication
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 region-wide outage?
- How would you migrate from a monolithic to a microservices architecture?
- What would the deployment pipeline look like for this system?
- How would you implement rate limiting to protect the system?
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Requirements
- Functional Requirements:
- Real-time Feed Generation: The system must generate and serve feeds based on incoming data streams in real-time.
- User Personalization: Support user...
Capacity Estimation
- User Base: Assume 10 million active users.
- Requests per User: Each user generates an average of 100 feed requests per day.
- Total Daily Requests: 10 million users * 100 requests =...
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