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

The video tutorial discusses the challenges of database operations and communication in microservices, highlighting the negative impact on performance. It introduces distributed caching as a solution to improve response times by reducing the need for repeated database calls. The tutorial covers various caching patterns and strategies, including cache aside, invalidation, sharding, consistency, and eviction, to enhance microservices performance.

Which of the following is NOT a practice involved in microservices distributed caching?

• Cache sharding

• Cache replication

• Cache invalidation

• Cache aside pattern

What is a major problem with database operations in microservices?

• They are inexpensive and high performance

• They are expensive and low performance

• They are always asynchronous

• They do not affect system performance

How does synchronous REST API communication affect microservices performance?

• It eliminates the need for database calls

• It makes expensive calls to a database, reducing performance

• It improves communication speed

• It enhances performance by reducing latency

What is one solution to improve microservices performance discussed in the video?

• Increasing database size

• Using distributed caching

• Reducing the number of microservices

• Switching to monolithic architecture

What benefit does storing frequently accessed data in a distributed cache provide?

• Complicates the system architecture

• Increases the number of database calls

• Slows down response times

• Reduces the overhead of repeated calls to external systems