distributed messaging system and some common messaging scenarios

What is Distributed Messaging System?

Distributed messaging is based on the concept of reliable message queuing. Messages are queued asynchronously between client applications and messaging systems. A distributed messaging system provides the benefits of reliability, scalability, and persistence.

Most of the messaging patterns follow the publish-subscribe model (Pub-Sub) where the senders of the messages are called publishers and those who want to receive the messages are called subscribers.

Once the message has been published by the sender, the subscribers can receive the selected message with the help of a filtering option.

Type of filtering

topic-based filtering
content-based filtering.

Note that the pub-sub model can communicate only via messages. It is a very loosely coupled architecture; even the senders don’t know who their subscribers are. Many of the message patterns enable with message broker to exchange publish messages for timely access by many subscribers.

A real-life example is Netflix, amazon prime video, which publishes different channels like sports, movies, music, etc., and anyone can subscribe to their own set of channels and get them whenever their subscribed channels are available.

Some common messaging scenarios are:

• Messaging. Transfer business data, such as sales or purchase orders, journals, or inventory movements.

• Decouple applications. Improve reliability and scalability of applications and services. Client and service don't have to be online at the same time.

• Topics and subscriptions. Enable 1:n relationships between publishers and subscribers.

Message sessions. Implement workflows that require message ordering or message deferral.

Here is an example of Azure Bus Service:

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