amazon microservices architecture

Framework Introduction and sample Deployment 26 minPractical application of 27TCC Distributed transaction scheme in payment system 60 MinutesApplication of 28TCC Distributed transaction scheme in payment system deployment and testing 35 minutesDesign and source analysis of 29TCC Distributed Transaction Framework--Framework code structure and configuration 30 minDesign of 30TCC Distributed transaction framework and source code Analysis--TCC process 77 minutesDesign and source code analysis of 31

-JMS (ActiveMQ) 8 minutes 22 using the Asynchronous messaging service-AMQP (RabbitMQ) 8 minutes 23 calling the rest service-How to use proxy 20 minutes 24 to send mail-using template mail and implementing multi-account polling send 18 minutes 25 using Spring Session implementation cluster-REDIS12 minutes 26 How to do remote debugging 10 minutes 27 Production Readiness-HTTP-based monitoring 18 min 28Spring boot integrated Mybatis30 min 29Spring Boot integration Druid35 minutes 30Spring B

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 Center, Report analysis system, logging system, t

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 Center, Report analysis system, logging system, t

;Importorg.springframework.boot.autoconfigure.SpringBootApplication;ImportOrg.springframework.cloud.client.discovery.EnableDiscoveryClient, @ Springbootapplication@enablediscoveryclient Public classconfigclientapplication { Public Static voidMain (string[] args) {Springapplication.run (configclientapplication.class, args); }}5.5. Control layer Class (Configclientcontroller.java) PackageCom.jacky.cloud.controller;ImportOrg.springframework.beans.factory.annotation.Value;ImportOrg.springframework.c

that it includes not only the dependencies in spring Boot Starter Poms, but also the various dependencies of Spring cloud. Click Next to enter the last few details about the physical storage of the project. Finally, click Finish to complete the construction of the project. IntelliJ Spring Initializr is still based on the official web implementation, but the tool makes calls and builds the results directly into our local file system, making the entire build process smoother, withou

request = Get ("/users/"); Mvc.perform (Request) Andexpect (status () IsOk ()). Andexpect (Content (). String (Equalto (" [{\ "id\": 1,\ "name\": \ "Test master \", \ "age\": 20}])); 4, put modifies the user request with id 1 = put ("/users/1"). Param ("name", "Test Ultimate Master"). Para M ("Age", "30"); Mvc.perform (Request) Andexpect (content (). String (Equalto ("Success")); 5. Get a user request with id 1 = Get ("/USERS/1"); Mvc.perform (

-formed template creation that can be properly displayed by the browser, so it can also be used as a static model. You can use it to create validated XML and HTML templates. Rather than writing logic or code, developers simply add tag attributes to the template. Next, these tag properties perform pre-established logic on the DOM (Document Object model).Sample Template:You can see that thymeleaf is mainly attributed to the HTML tag, the browser when parsing the HTML, when the detection of the att

) Execution java -jar xxx.jar --spring.profiles.active=prod , you can observe that the service port is set to 3333 , that is, the configuration of the production environment (PROD) According to the above experiment, we can summarize the multi-environment configuration ideas as follows: application.propertiesThe common content is configured in and set to the spring.profiles.active=dev development environment as the default configuration application-{profile}.properti

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

Applicationmaster.java,applicationbackup.javaThe contents of the code are the same @EnableEurekaServer @SpringBootApplication public class ApplicationMaster { public static void main(String[] args) { SpringApplication.run(ApplicationMaster.class, args); } } @EnableEurekaServer @SpringBootApplication public class ApplicationBackUp { public static void main(String[] args) { SpringApplication.run(ApplicationBackUp.class, args);

In a microservices architecture, a service is the smallest, scalable, standalone deployment unit that can have multiple instances of the same service offering, which are registered to the Service registry (Eureka Server) for unified management and load balancing of calls.Because spring cloud is already Java as the main development language, this article will first speak the Java language of the service how

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 boot for existing mature frameworks, and the largest numb

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 boot for existing mature frameworks, and the largest numb

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 boot for existing mature frameworks, and the largest numb

In the Wetext Project: A demo case of the DDD, CQRS, and microservices architecture based on. NET implementation, I introduced the ddd/cqrs/I developed with Visual Studio (C # 6.0 with. NET Framework 4.6.1) Case Project for MicroServices Architecture: Wetext. After the article issued a very good response, but also than

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

Large Enterprise Distributed Micro Service Cloud Architecture service componentAchieve modularity, microservices, Atomicity, grayscale publishing, continuous integrationCommonservice EurekaNetflixCloud service discovery, a REST-based service for locating services to enable mid-tier service discovery and failover in the cloud.Commonservice EurekaNetflixCloud service discovery, a REST-based service for locati