microservices vs monolithic architecture

all services that are obtained in the implementation of Eureka through the Discoveryclient interface defined by spring cloud. Since spring cloud has done a very good job of abstraction in the service discovery layer, for the above program, we can seamlessly switch from Eureka's service governance system to Consul's service governance system Central.From now on, I will record the process and the essence of the recently developed Springcloud micro-service cloud

Distributed, microservices, cloud architectureJava language development, cross-platform, high-performance, high-availability, secure, service-based, modular, component-driven development modelFrom now on, I will record the process and the essence of the recently developed Springcloud micro-service cloud architecture, and help more friends who are interested in developing the Spring cloud framework, hoping t

Distributed, microservices, cloud architectureJava language development, cross-platform, high-performance, high-availability, secure, service-based, modular, component-driven development modelFrom now on, I will record the process and the essence of the recently developed Springcloud micro-service cloud architecture, and help more friends who are interested in developing the Spring cloud framework, hoping t

return true, so the filter will take effect for all requests. In practice we can use this function to specify the effective range of the filter.Run: The specific logic of the filter. Here we use Ctx.setsendzuulresponse (false) to make Zuul filter the request, do not route it, and then set its return error code via CTX.SETRESPONSESTATUSCODE (401). Of course, we can also further optimize our return, for example, by Ctx.setresponsebody (body) to return the body content to edit and so on.After impl

general-purpose logic to implement the filtering and interception of the request, such as signature check, permission check, request current limit and so on service gateway.From now on, I will record the process and the essence of the recently developed Springcloud micro-service cloud architecture, and help more friends who are interested in developing the Spring cloud framework, hoping to help more good scholars. Let's explore how the Spring cloud

In a distributed architecture, the role of the circuit breaker pattern is similar, when a service unit fails (similar to a short-circuit with electrical appliances), through the fault monitoring of the circuit breaker (similar to a fuse fuse), to the caller returned an error response, rather than a long wait. This does not cause the thread to fail to be released for a long time because of the invocation of the fault service, thus avoiding the spread o

In addition to supporting RABBITMQ's automated configuration, Spring Cloud bus supports Kafka, which is now widely used. In this article, we will build a Kafka local environment and use it to try the support of Spring Cloud Bus for Kafka to realize the function of message bus. Since this article will be modified based on the implementation of the previous rabbit, it is helpful to read the "Spring Cloud Building MicroServices

Spring cloud itself provides a lot of components, but we need to customize the common architecture that the enterprise needs according to the business model of the enterprise. Below I have made the following technical summary for the spring Cloud Micro-service distributed cloud architecture, hoping to help you:View:H5, Vue.js, Spring Tag, React, AngularJs Component:ROKETMQ, Kafka, MongoDB, OSS, Redis, Swag

return true, so the filter will take effect for all requests. In practice we can use this function to specify the effective range of the filter.Run: The specific logic of the filter. Here we use Ctx.setsendzuulresponse (false) to make Zuul filter the request, do not route it, and then set its return error code via CTX.SETRESPONSESTATUSCODE (401). Of course, we can also further optimize our return, for example, by Ctx.setresponsebody (body) to return the body content to edit and so on.After impl

minutes24, maximum efforts to inform the optimization of the proposal 13 minutes25. TCC Type Distributed transaction Scheme introduction 15 minutes26. TCC Type Distributed Transaction Framework introduction and sample deployment 26 minutes27, the TCC Type Distributed transaction scheme in the payment system practical application detailed 60 Minutes28. TCC Type Distributed transaction scheme in the payment System application deployment and testing 35 minutes29. TCC-Type Distributed transaction f