What is sharding, and how does it improve database scalability?
- Sharding refers to a process of splitting data and distributing them among various machines, or different databases.
- The independent operation of each shard facilitates parallel processing for optimal efficiency.
- It is good to note that sharding improves the databaseās scalability since it distributes the data demand in such a manner that the system can comfortably accommodate many more transactions.
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
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