Summary

In this chapter, we have learned a lot about microservices, how to deal with caching, and the different types of caching.

In summary, caching and asynchronous messaging are two techniques that can improve the performance, scalability, and reliability of microservice-based applications. Caching is the process of storing frequently accessed or expensive data in a temporary storage area, such as Redis, to reduce the latency and the load on the primary data source. Asynchronous messaging is the process of exchanging data between microservices or clients in a non-blocking and event-driven manner, using a message broker such as Amazon SQS or Amazon SNS. Caching and asynchronous messaging can help to overcome some of the challenges of microservices, such as complexity, eventual consistency, and network failures. However, they also require careful design and trade-offs, such as data freshness, data synchronization, and message ordering.

In the next chapter, we are going to learn...