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What is synchronous communication in microservices?
A synchronous microservice is one in which data moves to and from an endpoint of a service in a blocking interaction. A typical example of a synchronous data exchange is an HTTP request/response interaction, seen in Figure 1 below.
What is caching in microservices?
Caches reduce latency and service-to-service communication of microservice architectures. A cache is a high-speed data storage layer that stores a subset of data. When data is requested from a cache, it is delivered faster than if you accessed the data’s primary storage location.
What are the benefits of caching in Microservices?
In many use cases, the cache is a relatively small data storage medium using fast and expensive technology. The primary benefit of using a cache is to reduce the time it takes to access frequently queried data on slower and cheaper large data stores.
How does synchronous communication work in a microservice?
As shown in the above diagram, in synchronous communication a “chain” of requests is created between microservices while serving the client request. This is an anti-pattern. In asynchronous communication microservices use asynchronous messages or http polling to communicate with other microservices, but the client request is served right away.
What are the different types of microservices communication?
There are three ways to set up communication in a microservices-oriented application: synchronous, in which communication happens in real time; asynchronous, in which communication happens independent of time; and hybrid, which supports both.
What’s the difference between synchronous and asynchronous communication?
Synchronous communication between the microservices lags in performance. Microservices may form a chain of requests between services to respond to a single client. Asynchronous communication is recommended over the synchronous to be a resilient microservices. The asynchronous protocol is non-blocking in nature.
Which is the best architecture for a microservice?
Once decided, a microservice architecture requires careful deliberation around its execution flow style. For a write, heavy system asynchronous is the best bet with a sync-over-async wrapper. Whereas, for a read-heavy system, synchronous communication works well. For a system that is both read and write heavy,…