java spring microservices

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

Spring Cloud combines today's more mature, proven service framework with the spring boot style for re-encapsulation, masking complex configuration and implementation principles, and ultimately integrating a simple, easy-to-deploy and maintainable Distributed system architecture platform.Spring Cloud's sub-projects can be broadly divided into two categories: the package and abstraction of

Spring Cloud combines today's more mature, proven service framework with the spring boot style for re-encapsulation, masking complex configuration and implementation principles, and ultimately integrating a simple, easy-to-deploy and maintainable Distributed system architecture platform.Spring Cloud's sub-projects can be broadly divided into two categories: the package and abstraction of

Spring Cloud combines today's more mature, proven service framework with the spring boot style for re-encapsulation, masking complex configuration and implementation principles, and ultimately integrating a simple, easy-to-deploy and maintainable Distributed system architecture platform.Spring Cloud's sub-projects can be broadly divided into two categories: the package and abstraction of

breaker and so on are implemented in spring Cloud hystrix. It is also implemented by the Netflix-based open source framework Hystrix, which aims to provide greater fault tolerance for latency and failure by controlling the nodes that access remote systems, services, and third-party libraries. Hystrix has powerful features such as service degradation, service fuse, thread isolation, request caching, request merging, and service monitoring.Next, let's

breaker and so on are implemented in spring Cloud hystrix. It is also implemented by the Netflix-based open source framework Hystrix, which aims to provide greater fault tolerance for latency and failure by controlling the nodes that access remote systems, services, and third-party libraries. Hystrix has powerful features such as service degradation, service fuse, thread isolation, request caching, request merging, and service monitoring.Next, let's

restTemplate.getForObject(url, String.class);}}As you can see here, we inject loadbalancerclient and resttemplate, and in the implementation of the/consumer interface, First, a Eureka-client service instance is selected through the Choose function of Loadbalancerclient, which is stored in serviceinstance, and the information in these objects is then spliced out to access/ The detailed address of the DC interface, and finally uses the Resttemplate object to implement the call to the service prov

(URL);returnResttemplate.getforobject (URL, String.class);}}Can see here, we injected LoadBalancerClient and, and in the implementation of the RestTemplate /consumer interface, the first through loadBalancerClient the choose function to load balanced selection of a eureka-client service instance, the basic information of this service instance is stored in ServiceInstance , The detailed address of the provider is then spliced through the information in these objects, and the object is then /dc u

restTemplate.getForObject(url, String.class);}}As you can see here, we inject loadbalancerclient and resttemplate, and in the implementation of the/consumer interface, First, a Eureka-client service instance is selected through the Choose function of Loadbalancerclient, which is stored in serviceinstance, and the information in these objects is then spliced out to access/ The detailed address of the DC interface, and finally uses the Resttemplate object to implement the call to the service prov

configuration content of a microservices application's multi-environment.Building Config ServerBuilding a config Server from spring cloud is simple and requires only three steps: Create a REST API to return the From property of the configuration center, as follows: The dependency is introduced in Pom.xml spring-cloud-config-server and the f

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

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 Wh

Summary: Below I have made the following technical summary for the spring cloud MicroServices Distributed Cloud Architecture: VIEW:H5, Vue.js Spring boot/spring Cloud:zuul, Ribbon, feign, Turbine, Hystrix, Oauthor2, Sleuth, API Gateway, Spring Cloud, Config Eureka, SSO,

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

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

the JSON returns the app name: config-client, Environment name: Dev, branch name: Master, and the configuration content of the default and dev environments.Building the ClientAfter completing the above verification, make sure that the Configuration service center is working, and below we try to get the configuration information described above in the MicroServices app.Create a spring boot application named

implementation of the eureka-client Eureka through the interfaces defined by spring cloud DiscoveryClient . 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 devel

DcClient dcClient; @GetMapping("/consumer") public String dc() { return dcClient.consumer(); }}The way to implement service invocation through spring Cloud feign is much simpler, with the interface defined by @feignclient to unify the life we need to rely on for the MicroServices interface. And in the specific use of the call to the local method a little bit of the call. Since feign is i

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