This article describes how to use event-driven architectures for loosely coupled microservices. Learn how to use the strangler pattern to break monoliths into microservices while maintaining optimal code.
The strangler pattern is a common methodology to break down monoliths in microservices. However, caution needs to be taken to prevent building distributed monoliths. This article describes how to use event-driven architectures for loosely coupled microservices.
Distributed systems have several advantages, for example, resiliency and horizontal scalability. At the same time, they introduce new challenges compared to classic monolithic systems related to the networking overhead between services. When breaking down monoliths into microservices, the goal is to minimize the dependencies between the services.
While in the optimal case strangled services are independent from the monoliths, in reality, there are often still some dependencies. Even the plants used as an analogy in the strangler fig pattern still dependent on the monolith (at least initially).
There are many different ways how services can communicate: Different protocols, sync vs async, different serialisation technologies, etc. One of the most common and easiest ways to communicate between services is synchronous REST API invocations. However, when it comes to microservices-based architectures, this technique is often considered an anti-pattern since the dependencies from monolithic architectures still exist and they are now even harder to manage in distributed systems.
As alternative event-driven architectures and asynchronous communications are very promising. Let me describe how to use events in a real-world example.
Just before I do this, let me clarify one thing: The dependencies don’t disappear completely and, as always, this approach is not the solution for all problems. But I think event-driven architectures can minimize the coupling between services.
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