Diving Deep Into REST API Channels

Diving Deep Into REST API Channels

This article provides a Diving Deep Into REST API Channels. Deep dive into how developers can work with REST API services, cache, message logs, and more by using a single platform.

This article provides a deep dive into how developers can work with REST API services, cache, message logs, and more by using a single platform.

Let's begin in 2021 with a deep dive into  Zato  REST API channels. What are they? How can we use them efficiently? How can they be configured for maximum flexibility? Read on to learn all the details.

A Sample Service

The first thing that may strike you is that the code is very high level – it just has access to a user_name and some data is returned but there is no mention of REST, no data serialization, caching, or anything that is not involved in the business functionality of returning user details.

This is by design. In Zato, services focus on what they actually need to do and the lower-level details are left to the platform. In other words, the service does not need to be concerned with the peculiarities of a given transport method, it just has its input to process and output to produce – it is channeled in front of a service that deals with all such aspects and the service concentrates on higher-level logic.

This makes it possible to employ the same service in other contexts – for instance, we are describing REST channels today, but the very same service could be invoked from the scheduler, through AMQP, IBM MQ, or via other channels, including multiple REST channels, helping you to design a reusable Service-Oriented Architecture (SOA).

With that in mind, let's move on to REST channels.

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