Event-driven architectures are filled with claims that may or may not be true. This article is the first to discuss EDA Myths that are common in the industry. Event-Driven Architectures: 5 Myths. Event-Driven Architecture: Bust or Fact? MYTH. Advanced event brokers allow for protocol translation within the broker.
Alright, let's face it—there is a lot of content talking about how REST vs messaging APIs and how one is more fir than the other for a microservices architecture design. I wrote a blog post about My journey to learning EDA that highlights what event-driven architecture is. Whether you are new to event-driven architecture (EDA) or have some background with it via dabbling with gRPC, kafka, rabbitMQ, Solace, or whatever messaging API, I am here to share with you 5 claims about EDA that I will be busting or confirming.
Advanced event brokers allow for protocol translation within the broker. What does this mean you might ask? Well, it is very common in any software architecture design approach to have a polyglot of protocols and APIs in an application. Whether you are using REST, or different messaging protocols (MQTT, AMQP, Solace, Kafka...etc) you would want your different microservices to communicate with each other.
This is an extremely valuable asset to an event broker as it provides the organization with an architecturally simple way to distribute business events (order placed, payment initiated, room booked, etc.) to core APIs/services.
Therefore, we can't claim that a complete overhaul of a REST-only architecture is a must to implement EDA.
Implementing EDA in an already existing architecture involves the process of event-enabling the underlying technology. Event-driven architecture does not replace synchronous call-and-response REST altogether but complements it.
Having harmonious interactions between synchronous and asynchronous APIs is inevitable in a digital transformation journey to adopt EDA.
Learn how to Choreographed, event-driven microservices. Choreographed microservices have all the benefits of a loosely coupled architecture. Microservices have event-driven, reactive, and choreographed since their introduction as an architectural style in 2011. An events is a record of a based action and must contain all information relevant to that action.
This article will expand on a different event-driven architecture pattern. Want to add better visibility and flexibility to your Microservices architecture? How To Orchestrate Event-Driven Microservices. How do you model the above flow with an Orchestrated Event-Driven Architecture?
Event-Driven Microservices with Apache Kafka®, Kotlin, and Ktor | Microservice applications often change communication protocols between services from request-response to event streaming. Apache Kafka® is a great choice for addressing the challenges of building high-load applications at scale. This session will provide an introduction on how to use Kotlin and Ktor to build an application that shares geographical coordinates among clients. Anton will give an introduction to Ktor, the Kotlin framework for building connected applications. After that, Viktor will demonstrate how event streaming works with Kafka, and he will identify the other features the platform provides for scaling the solution.
Microservices Event Sourcing & Event Driven Pattern. Understanding Microservice Architecture and Different Microservice Patterns. The API Gateway pattern defines how clients access the services in a microservice architecture. The Client-side Discovery and Server-side Discovery patterns are used to route requests for a client to an available service instance in a microservice architecture.
Event-Driven Architecture: Getting Started with Event-Driven Architecture