Design Caching for a Hotel Booking System
Last updated: August 31, 2026
Quick Overview
Design a caching strategy for a hotel booking system to improve performance and reduce database load.
Fora Travel
August 31, 20262
0
26 solved
Design a caching strategy for a hotel booking system to improve performance and reduce database load.
This question is typically asked during the onsite interview round for software engineering roles at Fora Travel to assess a candidate's ability to design scalable and efficient systems. The interviewer is evaluating the candidate's understanding of caching mechanisms, their impact on system performance, and how well they can integrate caching into a real-world application like a hotel booking system.
What the Interviewer Expects
- Explain the purpose and benefits of caching in a hotel booking system.
- Identify the types of data that should be cached and the caching strategy to use.
- Discuss cache invalidation strategies and how to handle stale data.
- Provide a high-level architecture of the system including caching layers.
- Mention tools or technologies that can be used for caching.
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 handle cache misses in this system?
- What would you do if the cache becomes stale?
- Can you explain the differences between in-memory and distributed caching?
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Practice System Design ProblemsSample Answer
Requirements
To design an effective caching strategy for a hotel booking system, we first need to identify the requirements. The system should handle high traffic during peak booking seasons, provide fast response...
High-Level Design
In the high-level design, we can implement a multi-layered caching approach. We can use a combination of in-memory caching (like Redis or Memcached) for frequently accessed data and a distributed cach...
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