In an event-driven architecture, when a service performs some piece of work that other services might be interested in, that service produces an event—a record of the completed action. Other services consume those events so that they can perform any of their tasks needed as a result of the event. Unlike with REST, services that create requests do not need to know the details of the services consuming the requests. Here’s a simple example: When an order is placed on an e-commerce site, a single “order placed” event is produced and then consumed by several microservices:
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Decentralised Data Management
(Avoid shared databases). When multiple services consume a shared data schema, it can create tight coupling at the data layer. To avoid tight coupling, each service should have its data access logic and separate data store. The development team is free to pick the data persistence method which best fit each service and nature of data.
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Microservices Best Practices
API Gateway
API Gateway acts as a single entry point for all clients with a more critical role as an edge service for exposing microservices to the outside world as managed APIs. It sounds like a reverse proxy, but also has additional responsibilities like simple load-balancing, authentication & authorization, failure handling, auditing, protocol translations, and routing. There are several ways in which the API Gateway can be deployed from a development perspective.
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Microservices
Microservices is a trending topic among software engineers today, why is this? In this post, I’ll endeavour to take the mystery and explain things in plain English so you can build genuinely modular, business agile IT systems with Microservices architectural style.
The goal of microservices is to increase the velocity of application releases, by decomposing the application into small autonomous services that can be deployed independently.
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