Build a high-throughput Logging Pipeline
Last updated: August 14, 2025
Quick Overview
Design a high-throughput logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Twitter/X
System Design
Software Engineer
Twitter/X
August 14, 2025Software Engineer
Technical Screen
System Design
Medium
1
11
1,362 solved
Design a high-throughput logging system that handles millions of requests. Discuss trade-offs in consistency, availability, and performance.
Twitter/X asks this during the Technical Screen 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
Security and authentication
Failure handling and fault tolerance
Caching strategies (local, distributed, CDN)
Load balancing and horizontal scaling
Monitoring, logging, and alerting
Database selection and data modeling
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?
- How would you handle a 10x increase in traffic overnight?
- How would you migrate from a monolithic to a microservices architecture?
- What happens if one of your database nodes goes down?
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Requirements
Functional Requirements:
- High Throughput: The logging system must handle over 10 million logs per second from various Twitter/X services and users.
- Real-time Processing: Logs should ...
Capacity Estimation
Back-of-Envelope Calculations:
- Incoming Logs: Assuming an average of 100 bytes per log and a requirement to handle 10 million logs per second:
- Data Volume: 10 million logs/s * 100 by...
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