cloud foundry microservices

Spring Cloud ZuultheNetflix Zuulthe encapsulation is implementednew Spring boot project demo-springcloud-api-gateway, creating startup class Zuulapplication,@ Enablezuulproxy Start the configuration of the gateway agent, which is also a combination of annotations, enabling service registration discovery and fusesProject-Critical dependency Spring-cloud-starter-zuul support for gatewaysThe configuration file

developers are quick to get started, all devices are adaptable, and all projects are available.DistributedDistributed services: Dubbo+zookeeper+proxy+restfulDistributed message Middleware: Kafka+flume+zookeeperDistributed cache: Redis Distributed files: FastdfsLoad balancing: Keepalived+nginx+proxy (triple load)Cloud ServicesSUBSYSTEM: Backend management system, RESTFU service System, Dubbo Service/control/monitoring CenterZookeeper Registration Cent

developers are quick to get started, all devices are adaptable, and all projects are available.DistributedDistributed services: Dubbo+zookeeper+proxy+restfulDistributed message Middleware: Kafka+flume+zookeeperDistributed cache: Redis Distributed files: FastdfsLoad balancing: Keepalived+nginx+proxy (triple load)Cloud ServicesSUBSYSTEM: Backend management system, RESTFU service System, Dubbo Service/control/monitoring CenterZookeeper Registration Cent

Spring Cloud Config is a new project created by the spring Cloud team to provide centralized external configuration support for infrastructure and microservices applications in distributed systems, which are divided into two parts: server and client. The server, also known as the Distributed Configuration Center, is a standalone

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

packages from MVN package with commandYou can see the following results when you are doneCopy the jar package to Dockerfile's sibling directory6. Executive DockerfileWhen Dockerfile is selected, right-click, and then tap Run/dockerfile-regThe process log is displayed in the Output window7. View Docker imagesOnce the deploy is complete, you can use the Docker command-line tool to view existing images image informationDocker images8. Run the Docker containerCreate a Docker container by executing

Create a basic spring boot project, named Eureka-server, and introduce the required dependencies in the Pom.xml:Start a service registry with @enableeurekaserver annotations to provide conversations to other apps. This step is very simple, just add this annotation to a normal spring boot application to enable this feature, such as the following example:@EnableEurekaServer@SpringBootApplicationpublic class Application {public static void main(String[] args) {new SpringApplicationBuilder(Applicati

Http://www.cnblogs.com/longxianghui/p/7561259.htmlRecently, following the blog in the park to do service discovery, it is found that after tuning the port on vs is still unable to achieve through, the order service access to product, a visit throws an error. After almost two weeks of timeIt is found that the service consumption can be realized after the cmd command line is started. Of course, you can also follow the comments to publish to IIS, I did not publish the processing, one I do not feel

Spring Cloud, as a framework for microservices governance, takes into account almost every aspect of microservices governance and has previously written about spring cloud articles that focus on the use of components, and this share answers both of these questions: Spring What does

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

I. Background Under the microservices architecture, our systems are split into multiple, single-duty microservices based on business. Each service has its own set of APIs to provide to other service calls, so how to ensure security. It is not that you want to invoke the call, we must have the authentication mechanism, is the request from our internal service, we can call our interface. Note that we are tal

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

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 de

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 de

restore the original master logic? For this problem, Hystrix also realized the automatic recovery function for us. When the circuit breaker opens, the main logic of the fuse, Hystrix will start a sleep time window, in this time window, the demotion logic is temporary into the primary logic, when the sleep time window expires, the circuit breaker will enter the semi-open state, release a request to the original master logic, if the request returned normally, Then the circuit breaker will continu

become the main logic, so how to restore the original master logic? For this problem, Hystrix also realized the automatic recovery function for us. When the circuit breaker opens, the main logic of the fuse, Hystrix will start a sleep time window, in this time window, the demotion logic is temporary into the primary logic, when the sleep time window expires, the circuit breaker will enter the semi-open state, release a request to the original master logic, if the request returned normally, Then

restore the original master logic? For this problem, Hystrix also realized the automatic recovery function for us. When the circuit breaker opens, the main logic of the fuse, Hystrix will start a sleep time window, in this time window, the demotion logic is temporary into the primary logic, when the sleep time window expires, the circuit breaker will enter the semi-open state, release a request to the original master logic, if the request returned normally, Then the circuit breaker will continu

/consumer, and we will get the return result: fallback. We can see from the console of the eureka-client that the service provider outputs the results that were originally to be returned, but because the service consumer triggered a service request timeout exception due to a delay of 5 seconds before it was returned, the service consumer was executed by the downgrade logic specified in the Hystrixcommand annotation , so the result of the request returned fallback. Such a mechanism provides the b

();System.out.println(services);return services;}After restarting Eureka-client, try to access Localhost:2101/consumer, and we will get the return result: fallback. We can see from the console of the eureka-client that the service provider outputs the results that were originally to be returned, but because the service consumer triggered a service request timeout exception due to a delay of 5 seconds before it was returned, the service consumer was executed by the downgrade logic specified in th