What are the bottlenecks in system design?
Bottlenecks in system design refer to points or components within a system that limit the overall performance or capacity. Identifying and addressing bottlenecks is crucial for optimizing system efficiency.
Common bottlenecks include:
- CPU Bottleneck: The central processing unit (CPU) becomes a limiting factor when it cannot process data fast enough to meet the demands of the system.
- Memory Bottleneck: Insufficient RAM or slow memory access can slow down the system when it cannot effectively handle data storage and retrieval.
- Storage Bottleneck: Slow read/write speeds or limited storage capacity can impede the performance of a system, especially in data-intensive applications.
- Database Bottleneck: Slow database queries, inefficient indexing, or database contention can impact the performance of applications heavily reliant on databases.
Top Most Asked System Design Interview Questions
System Design is defined as a process of creating an architecture for different components, interfaces, and modules of the system and providing corresponding data helpful in implementing such elements in systems.
Table of Content
- 1. Why is it better to use horizontal scaling than vertical scaling?
- 2. What is sharding, and how does it improve database scalability?
- 3. What is CAP theorem?
- 4. What do you understand by load balancer? Why is it important in system design?
- 5. What are the various Consistency patterns available in system design?
- 6. When would you use cache layer of a system?
- 7. A reverse proxy in a web architecture means what?
- 8. Outline the role played by a CDN in Web Architecture.
- 9. Describe the concepts of RESTful API principles.
- 10. How does a message broker operate within a distributed environment?
- 11. Why should we use NoSQL database?
- 12. What does the Singleton Design Pattern aim at?
- 13. Discuss what is consistent hashing ?
- 14. Why is the two-phase commit protocol important?
- 15. What are vector clocks in the context of the distributed system?
- 16. Explain the function of consensus algorithms in distributed systems.
- 17. How does the āgraceful degradationā principle impacts on system design?
- 18. What are the bottlenecks in system design?
- Conclusion
Contact Us