Design Microservices Architecture with Patterns and Principles - What Is Caching?

Caching is a technique to enhance system performance by storing frequently accessed data in memory, reducing the need for costly operations like database queries. It boosts performance, scalability, and availability, especially in microservices, by lowering latency and handling increased requests efficiently. Caching is particularly effective for read-heavy applications with infrequent data changes, such as e-commerce catalogs. It also helps avoid recalculations by allowing data sharing across applications, thus improving overall system efficiency.

What is the primary purpose of caching in a system?

• To improve system performance by reducing expensive operations

• To store all data permanently

• To decrease memory usage

• To increase the number of database queries

How does caching benefit microservices?

• By reducing the number of servers needed

• By storing all data in the database

• By improving performance, scalability, and availability

• By increasing the number of network requests

When is caching particularly efficient?

• When data changes frequently

• When data is stored in multiple locations

• When data is rarely accessed

• When data is read often and changes infrequently

What is an example of data that can be effectively cached?

• User passwords

• Product catalog in an e-commerce application

• Real-time stock prices

• Temporary session data

How does caching help in avoiding recalculation processes?

• By performing calculations on multiple servers

• By storing the results of calculations for reuse

• By increasing the number of calculations

• By deleting old calculation data