Design Microservices Architecture with Patterns and Principles - Distributed Caching in Microservices

The video tutorial discusses distributed caching in microservices, highlighting its role in improving system performance by storing frequently accessed data locally. It explains the function of API Gateway in microservice architectures and the benefits of distributed caching, such as enhanced performance, resilience, and scalability. The tutorial also covers various implementation options, including Redis, memcache, and cloud solutions like Amazon Elastic Cache. It concludes with use cases demonstrating how distributed caching can optimize microservice communication and handle increased traffic efficiently.

What is the primary purpose of distributed caching in microservices?

• To increase the number of microservices

• To replace databases entirely

• To improve system performance by reducing database calls

• To store all data permanently

How does distributed caching enhance system responsiveness?

• By returning cached data quickly

• By storing data in a central database

• By reducing the number of microservices

• By increasing the number of API calls

What is a key advantage of distributed caching over in-memory caching?

• In-memory caching is more scalable

• In-memory caching is faster

• Distributed caching is less expensive

• Distributed caching allows independent scaling

Which of the following is a tool used for implementing distributed caching?

• MySQL

• Redis

• MongoDB

• PostgreSQL

What benefit does distributed caching provide in terms of system resilience?

• It eliminates the need for APIs

• It increases the complexity of the system

• It reduces the number of microservices

• It allows services to function without external systems