1. Hystrix Dashboard (断路器：hystrix 仪表盘)
Hystrix一个很重要的功能是，可以通过HystrixCommand收集相关数据指标. Hystrix Dashboard可以很高效的现实每个断路器的健康状况。
1）. 在Ribbon服务g和Feign服务的Maven工程的pom.xml中都加入依赖
1 <dependency> 2 <groupId>org.springframework.boot</groupId> 3 <artifactId>spring-boot-starter-actuator</artifactId> 4 </dependency> 5 <dependency> 6 <groupId>org.springframework.cloud</groupId> 7 <artifactId>spring-cloud-starter-hystrix-dashboard</artifactId> 8 </dependency>
spring-boot-starter-actuator用于手机metric， 支持hystrix.stream。spring-cloud-starter-hystrix-dashboard支持dashboard的UI
2）在Spring Boot启动类上用@EnableHystrixDashboard注解和@EnableCircuitBreaker注解。需要特别注意的是我们之前的Feign服务由于内置断路器支持， 所以没有@EnableCircuitBreaker注解，但要使用Dashboard则必须加，如果不加，Dashboard无法接收到来自Feign内部断路器的监控数据，会报“Unable to connect to Command Metric Stream”错误
1 @SpringBootApplication
2 @EnableDiscoveryClient
3 @EnableFeignClients
4 @EnableCircuitBreaker
5 @EnableHystrixDashboard
6 public class ServiceFeignApplication {
7
8 public static void main(String[] args) {
9 SpringApplication.run(ServiceFeignApplication.class, args);
10 }
11 }
3）然后就可以访问/hystrix，这个URL将dashboard指向定义在Hystrix客户端应用中的/hystrix.stream
在dashboard中输入服务的URL：点击 monitor后进入监控界面，访问我们之前创建的Ribbon服务localhost:8901/, 或者Feign服务localhost:8902/可以看到监控UI动态变化
2. 利用Turbine在一个Dashboard上监控多个流
以上例子只能监控一个，要同时监控多个流怎么办？ 答案是， 可以单独做一个Turbine服务，专门监控所有断路器状态，从而掌握整个系统中所有微服务的状态。下面我们就来创建一个Turbine服务，来监控我们之前做的Feign服务和Ribbon服务
1）. 创建一个maven工程， 在pox.xml添加以下依赖
1 <dependency> 2 <groupId>org.springframework.cloud</groupId> 3 <artifactId>spring-cloud-starter-turbine</artifactId> 4 </dependency> 5 <dependency> 6 <groupId>org.springframework.cloud</groupId> 7 <artifactId>spring-cloud-netflix-turbine</artifactId> 8 </dependency> 9 <dependency> 10 <groupId>org.springframework.boot</groupId> 11 <artifactId>spring-boot-starter-actuator</artifactId> 12 </dependency> 13 <dependency> 14 <groupId>org.springframework.cloud</groupId> 15 <artifactId>spring-cloud-starter-hystrix-dashboard</artifactId> 16 </dependency>
整个个pox.xml文件如下：
1 <?xml version="1.0" encoding="UTF-8"?> 2 <project xmlns="http://maven.apache.org/POM/4.0.0" 3 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 4 xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd"> 5 <modelVersion>4.0.0</modelVersion> 6 <groupId>cm.chry</groupId> 7 <artifactId>spring.helloworld.turbine.service</artifactId> 8 <version>0.0.1-SNAPSHOT</version> 9 <name>spring.helloworld.turbine.service</name> 10 <description>Turbine service demo</description> 11 <parent> 12 <groupId>org.springframework.boot</groupId> 13 <artifactId>spring-boot-starter-parent</artifactId> 14 <version>1.5.3.RELEASE</version> 15 <relativePath/> <!-- lookup parent from repository --> 16 </parent> 17 18 <properties> 19 <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding> 20 <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding> 21 <java.version>1.8</java.version> 22 </properties> 23 24 <dependencies> 25 <dependency> 26 <groupId>org.springframework.cloud</groupId> 27 <artifactId>spring-cloud-starter-eureka</artifactId> 28 </dependency> 29 <dependency> 30 <groupId>org.springframework.boot</groupId> 31 <artifactId>spring-boot-starter-web</artifactId> 32 </dependency> 33 <dependency> 34 <groupId>org.springframework.cloud</groupId> 35 <artifactId>spring-cloud-starter-turbine</artifactId> 36 </dependency> 37 <dependency> 38 <groupId>org.springframework.cloud</groupId> 39 <artifactId>spring-cloud-netflix-turbine</artifactId> 40 </dependency> 41 <dependency> 42 <groupId>org.springframework.boot</groupId> 43 <artifactId>spring-boot-starter-actuator</artifactId> 44 </dependency> 45 <dependency> 46 <groupId>org.springframework.cloud</groupId> 47 <artifactId>spring-cloud-starter-hystrix-dashboard</artifactId> 48 </dependency> 49 <dependency> 50 <groupId>org.springframework.boot</groupId> 51 <artifactId>spring-boot-starter-test</artifactId> 52 <scope>test</scope> 53 </dependency> 54 </dependencies> 55 56 <dependencyManagement> 57 <dependencies> 58 <dependency> 59 <groupId>org.springframework.cloud</groupId> 60 <artifactId>spring-cloud-dependencies</artifactId> 61 <version>Dalston.RC1</version> 62 <type>pom</type> 63 <scope>import</scope> 64 </dependency> 65 </dependencies> 66 </dependencyManagement> 67 68 <build> 69 <plugins> 70 <plugin> 71 <groupId>org.springframework.boot</groupId> 72 <artifactId>spring-boot-maven-plugin</artifactId> 73 </plugin> 74 </plugins> 75 </build> 76 77 <repositories> 78 <repository> 79 <id>spring-milestones</id> 80 <name>Spring Milestones</name> 81 <url>https://repo.spring.io/milestone</url> 82 <snapshots> 83 <enabled>false</enabled> 84 </snapshots> 85 </repository> 86 </repositories> 87 </project>
2）. 创建Turbine Dashboard启动类:
用@EnableHystrixDashboard和@EnableTurbine修饰主类， 分别用于支持Hystrix Dashboard和Turbine
1 package spring.helloworld.turbine.service;
2
3 import org.springframework.boot.SpringApplication;
4 import org.springframework.boot.autoconfigure.SpringBootApplication;
5 import org.springframework.cloud.netflix.hystrix.dashboard.EnableHystrixDashboard;
6 import org.springframework.cloud.netflix.turbine.EnableTurbine;
7
8 @SpringBootApplication
9 @EnableHystrixDashboard
10 @EnableTurbine
11 public class DashboardApplication {
12
13 public static void main(String[] args) {
14 SpringApplication.run(DashboardApplication.class, args);
15 }
16 }
3). 在application.yml中配置turbine参数
1 eureka:
2 client:
3 serviceUrl:
4 defaultZone: http://localhost:8761/eureka/
5 server:
6 port: 8903
7 spring:
8 application:
9 name: hystrix-dashboard-turbine
10 turbine:
11 appConfig: service-feign, service-ribbon
12 aggregator:
13 clusterConfig: default
14 clusterNameExpression: new String("default")
turbine.appConfig定义了要监控的服务，这里是我们在前面章节创建的service-feign和sercice-ribbon; aggregator.clusterConfig定义了聚合方式， 此处为default.
turbine.appConfig ：配置Eureka中的serviceId列表，表明监控哪些服务
turbine.aggregator.clusterConfig ：指定聚合哪些集群，多个使用”,”分割，默认为default。可使用http://.../turbine.stream?cluster={clusterConfig之一}访问
turbine.clusterNameExpression ：指定集群名称，可以是三种类型的值
- 默认表达式为appName；此时turbine.aggregator.clusterConfig需要配置想要监控的应用名称；
- 当为default时，turbine.aggregator.clusterConfig可以不写，因为默认就是default；
- 当为metadata[‘cluster’]时，假设想要监控的应用配置了eureka.instance.metadata-map.cluster: ABC，则需要配置，同时turbine.aggregator.clusterConfig: ABC
4）. 依次启动eureka服务， 2个Helloworld服务， Feign服务，ribbon服务和刚创建turbine服务。从eureka服务中我们可以看到
5）通过Turbine服务访问HystrixDashborad， http:localhost:8903/hystrix
监控流的URL填http://localhost:8903/turbine.stream, 点击monitor stream, 进入监控页面， 随便刷新下feign和ribbon服务（http://localhost:8902/hello和http://localhost:8901）， 可以看到监控页面的变化。如下图， 两个服务的监控都会显示在dashboard上
