follows a very simple principle: as long as one side connects the nodes, information can be propagated and synchronized. What do you mean? Let's take a look at what happens in the following experiment.
Scenario One: Let's say we have 3 registries, we'll peer1, Peer2, and Peer3 each point serviceurl to another two nodes. In other words, Peer1, Peer2 and Peer3 are 22 registered with each other. Start the three service registries and point the Compute-service serviceurl to Peer1 and start
of the Eureka-client service, and can also observe its load balancing effect by initiating multiple eureka-client services.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 architecture is built and how it can be used in enterprise projects.Source source technical supp
be executed sequentially based on the value returned by the method.
shouldFilter: Determines whether the filter needs to be executed. Here we return directly 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 ctx.setSendZuulResponse(false) can further optimize our return by making Zuul filter the request, not routing it, and then by ctx.setResponseStatus
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
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
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
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
the above properties must be configured in the bootstrap.properties config section to be loaded correctly. Because the configuration of config will precede application.properties , and bootstrap.properties the load is before application.properties .
Create a REST API to return the From property of the configuration center, as follows:
Configure @Value("${from}") the From property in the service by binding.Launch the app and access: Http://localhost:7002/from,
application.properties , and bootstrap.properties the load is before application.properties .
Create a REST API to return the From property of the configuration center, as follows:
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@RefreshScope @RestControllerclass TestController { @Value ("${from}")private String from; @RequestMapping ("/from") Public String from() { return this.from;} }
Configure @Value("${from}") the From property in the service by binding.Launch the app
Product mouth of a small project, from project to development on-line, with time and demand of the continuous explosion, will become more and more complex, become a large project, if the previous project structure is not well designed, code will become more and more bloated, difficult to maintain, late every product iteration on the line will be reaching. Project MicroServices, loosely coupled with the relationship between the modules, is a good choic
.
This article is based on some of our best practices in development, from the perspective of development, monitoring, and logging, we introduce some of our experience in micro-service building on the Go technology stack.
Development
During the development of MicroServices, different modules are responsible for different developers, and clearly defined interfa
To configure specific implementations under the Compute-service service.
Invoke the computeclient defined above in the Web layer, as follows:
@RestController public class Consumercontroller {@Autowired computeclient Compu Teclient; @RequestMapping (Value = "/add", Method = Requestmethod.get) public Integer Add () { retu RN Computeclient.add (20 application.properties do not change, specify the Eureka service registry, such as:
spring.application.name=feig
loadbalancerclient and initiating requests directly through Resttemplate.@RestControllerpublic class DcController {@AutowiredRestTemplate restTemplate;@GetMapping("/consumer")public String dc() {return restTemplate.getForObject("http://eureka-client/dc", String.class);}}As you can see here, in addition to removing the original logic related to Loadbalancerclient, our first URL parameter is somewhat special for resttemplate use. The host location requested here is not in the form of a specific I
of the Eureka-client service, and can also observe its load balancing effect by initiating multiple eureka-client services.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 architecture is built and how it can be used in enterprise projects.Source source technical supp
service instance and replaces the actual requested IP address and port with the service name, which completes the invocation of the service interface.After you have finished writing your code, the reader can start Eureka-server, eureka-client, and Eureka-consumer-ribbon. To track how the Eureka-consumer-ribbon service consumes the interface of the Eureka-client service /dc , and can also observe its load balancing effect by initiating multiple eureka-client services.From now on, I will record t
The previous post briefly introduced Go-micro's overall frame structure, this one mainly writes Go-micro uses the way the example, the middle will be interspersed some go-micro the source code, and calls the flowchart, helps everybody better understanding Go-micro's bottom. More detailed and more specific call process
This is a creation in
Article, where the information may have evolved or changed.
Part IV: Go microservices-testing and simulation using Goconvey
How to deal with microservices testing? Do you need to consider any unique challenges when establishing a test strategy for this particular area? In the fourth part, we will look at these topics.
Test the subject
This is a creation in
Article, where the information may have evolved or changed.
Part ten: Go microservices-Centralized logging
This article describes our go microservices log policy based on Logrus, Docker gelf log driver, and loggly services (Logging as a service).
A structured, pluggable log function in Logru
Resources:Quickly create a restful style API project and API document Automation with Beego: http://www.cnblogs.com/huligong1234/p/4707282.htmlGo Language Building RESTful Web services: https://www.oschina.net/translate/hardcore-google-communicating-goSecure RESTful JSON API with JWT authentication in Golang (US): http://www.tuicool.com/articles/ZnMZF3Polaris: A restful web framework that is implemented with go
= Reqif Err: = srv. Publisher.publish (CTX, req); Err! = Nil {return Err}return nil} ' Now our mail service is like this: ' ' go//shippy-email-serviceconst topic = ' user.created ' type Subscriber Struct{}func (sub *subscriber) Process (CTX context. Context, user *PB. User) Error {log. Println ("Picked up a new message") log. PRINTLN ("Sending email to:", user. NAME) return Nil}func main () {... micro. Registersubscriber (topic, srv. Server (), new (
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