![]() ![]() The sheer volume and frequency of state changes warrant something event based. Think about something like Uber where millions of vehicles are constantly sending their location to a centralized platform. With that said, event driven approaches to solving problems have become exponentially popular as the nature and scale of applications changes. This is why a combination of event driven and RESTful APIs usually work together to deliver an architected solution. That's just not how authentication works. You can't "fire and forget' an event when a user logs in and hope that sometime later you authenticate the user. In this scenario, a synchronous response is preferred. While event driven solutions can prove advantageous to the more traditional request/response model, RESTful APIs still have their place in today's world.Ĭonsider authentication. When evaluating event driven vs REST APIs, it's important to remember that microservices work together to deliver solutions. To better understand what makes an API REStful you can dive deeper into REST vs SOAP and GraphQL vs REST. This does not effect the request/response relationship. Layered systems: RESTful APIs can communicate over several network hops including proxies and load balancers.Cacheable: A common functionality of a RESTful API is that the endpoints are cacheable by web browsers.This response doesn't require any additional context and the calling client has all the info it needs from the response payload. Stateless: RESTful APIs are stateless meaning when a client calls a server it receives all the information in a response payload.While clients communicate with servers via a request/response model, they can be independently developed without requiring changes to the server as well. Uniform interface: This is a fancy way of describing the decoupled relationship between clients and servers.You ca think of REST as an architectural "way of doing things" in terms of defining standardized APIs that clients can call.įor an API to be "RESTful" it typically abides by the following rules: GET, POST, PUT, DELETE are all HTTP methods commonly used to establish this uniform interface between clients and servers. Using a uniform interface, REST APIs allow decoupled clients to communicate with servers with a request/response model. Representational state transfer (REST) is an architectural approach to communicating between clients and servers. Still confused? Check out What is event driven architecture? What is REST? Of course there are exceptions to this (like in the case of manual acknowledgment with Kafka), however asynchronous communication is a key element of event driven architecture. Once a message is published, the producer application moves onto the next message without waiting for a response from the previous activity. This approach is asynchronous in the sense that producer applications tend to "fire and forget" the messages they produce. While some microservices act as publishers of events, others act as consumers of those events to ultimately deliver a solution. Still confused? Check out What is a microservice? What is Event Driven Architecture?Įvent driven architecture communicates changes in state over a pub/sub or producer/consumer model.Įvent driven architecture leverages messaging frameworks like Kafka or MQ to establish a "push" based approach to communicating between services. Resiliency, scalability, and agility are the driving forces behind microservice architecture and it's ascent to the de-facto approach for architecting software solutions. Similarly, if there is an issue with the comments service it can be quickly fixed and deployed without bringing down the blogging platform as a whole. If tons of users are singing up but not commenting on content then the user service can be scaled up without wasting resources on the comments service. The UI could be deployed separately from the database and service layer.Ī comments service could be deployed separately from a users service. ![]() Coming back to the blog example, let's say the solution exists as a collection of microservices. SOA or microservice based architecture solves these issues. As the application grows, development complexity increases. If the application crashes, the whole solution crashes. The database, service layer, and UI are deployed as one application. Monolithic applications are tightly coupled solutions that perform many tasks as a single, deployable solution.Ī good example of a monolithic application would be a blog living on a single server. Microservices solve the problems introduced through monolithic applications. ![]() A microservice is a simple application that does one thing really well.Ī microservice works in conjunction with other microservices to achieve what's known as service oriented architecture (SOA).
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