Hystrix-dashboard是一款針對Hystrix進行實時監控的工具，通過Hystrix Dashboard我們可以在直觀地看到各Hystrix Command的請求響應時間, 請求成功率等資料。但是隻使用Hystrix Dashboard的話, 你只能看到單個應用內的服務資訊, 這明顯不夠. 我們需要一個工具能讓我們彙總系統內多個服務的資料並顯示到Hystrix Dashboard上, 這個工具就是Turbine.

Hystrix Dashboard

我們在熔斷示例專案spring-cloud-consumer-hystrix的基礎上更改，重新命名為：spring-cloud-consumer-hystrix-dashboard。

1、新增依賴

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-hystrix</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-starter-hystrix-dashboard</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.boot</groupId>
    <artifactId>spring-boot-starter-actuator</artifactId>
</dependency>
 

這三個包必須新增

2、啟動類

啟動類新增啟用Hystrix Dashboard和熔斷器

@SpringBootApplication
@EnableDiscoveryClient
@EnableFeignClients
@EnableHystrixDashboard
@EnableCircuitBreaker
public class ConsumerApplication {

    public static void main(String[] args) {
        SpringApplication.run(ConsumerApplication.class, args);
    }
}
 

3、測試

啟動工程後訪問 http://localhost:9001/hystrix，將會看到如下介面：

圖中會有一些提示：

Cluster via Turbine (default cluster): http://turbine-hostname:port/turbine.stream
Cluster via Turbine (custom cluster): http://turbine-hostname:port/turbine.stream?cluster=[clusterName]
Single Hystrix App: http://hystrix-app:port/hystrix.stream

大概意思就是如果檢視預設叢集使用第一個url,檢視指定叢集使用第二個url,單個應用的監控使用最後一個，我們暫時只演示單個應用的所以在輸入框中輸入：
http://localhost:9001/hystrix.stream ，輸入之後點選 monitor，進入頁面。

如果沒有請求會先顯示Loading ...，訪問http://localhost:9001/hystrix.stream 也會不斷的顯示ping。

請求服務http://localhost:9001/hello/neo，就可以看到監控的效果了，首先訪問http://localhost:9001/hystrix.stream，顯示如下：

ping: 

data: {"type":"HystrixCommand","name":"HelloRemote#hello(String)","group":"spring-cloud-producer","currentTime":1494915453986,"isCircuitBreakerOpen":false,"errorPercentage":100,"errorCount":1,"requestCount":1,"rollingCountBadRequests":0,"rollingCountCollapsedRequests":0,"rollingCountEmit":0,"rollingCountExceptionsThrown":0,"rollingCountFailure":0,"rollingCountFallbackEmit":0,"rollingCountFallbackFailure":0,"rollingCountFallbackMissing":0,"rollingCountFallbackRejection":0,"rollingCountFallbackSuccess":1,"rollingCountResponsesFromCache":0,"rollingCountSemaphoreRejected":0,"rollingCountShortCircuited":0,"rollingCountSuccess":0,"rollingCountThreadPoolRejected":0,"rollingCountTimeout":1,"currentConcurrentExecutionCount":0,"rollingMaxConcurrentExecutionCount":0,"latencyExecute_mean":0,"latencyExecute":{"0":0,"25":0,"50":0,"75":0,"90":0,"95":0,"99":0,"99.5":0,"100":0},"latencyTotal_mean":0,"latencyTotal":{"0":0,"25":0,"50":0,"75":0,"90":0,"95":0,"99":0,"99.5":0,"100":0},"propertyValue_circuitBreakerRequestVolumeThreshold":20,"propertyValue_circuitBreakerSleepWindowInMilliseconds":5000,"propertyValue_circuitBreakerErrorThresholdPercentage":50,"propertyValue_circuitBreakerForceOpen":false,"propertyValue_circuitBreakerForceClosed":false,"propertyValue_circuitBreakerEnabled":true,"propertyValue_executionIsolationStrategy":"THREAD","propertyValue_executionIsolationThreadTimeoutInMilliseconds":1000,"propertyValue_executionTimeoutInMilliseconds":1000,"propertyValue_executionIsolationThreadInterruptOnTimeout":true,"propertyValue_executionIsolationThreadPoolKeyOverride":null,"propertyValue_executionIsolationSemaphoreMaxConcurrentRequests":10,"propertyValue_fallbackIsolationSemaphoreMaxConcurrentRequests":10,"propertyValue_metricsRollingStatisticalWindowInMilliseconds":10000,"propertyValue_requestCacheEnabled":true,"propertyValue_requestLogEnabled":true,"reportingHosts":1,"threadPool":"spring-cloud-producer"}

data: {"type":"HystrixThreadPool","name":"spring-cloud-producer","currentTime":1494915453986,"currentActiveCount":0,"currentCompletedTaskCount":1,"currentCorePoolSize":10,"currentLargestPoolSize":1,"currentMaximumPoolSize":10,"currentPoolSize":1,"currentQueueSize":0,"currentTaskCount":1,"rollingCountThreadsExecuted":0,"rollingMaxActiveThreads":0,"rollingCountCommandRejections":0,"propertyValue_queueSizeRejectionThreshold":5,"propertyValue_metricsRollingStatisticalWindowInMilliseconds":10000,"reportingHosts":1}

說明已經返回了監控的各項結果

到監控頁面就會顯示如下圖：

其實就是http://localhost:9001/hystrix.stream返回結果的圖形化顯示，Hystrix Dashboard Wiki上詳細說明了圖上每個指標的含義，如下圖：

到此單個應用的熔斷監控已經完成。

Turbine

在複雜的分散式系統中，相同服務的節點經常需要部署上百甚至上千個，很多時候，運維人員希望能夠把相同服務的節點狀態以一個整體叢集的形式展現出來，這樣可以更好的把握整個系統的狀態。 為此，Netflix提供了一個開源專案（Turbine）來提供把多個hystrix.stream的內容聚合為一個數據源供Dashboard展示。

1、新增依賴

<dependencies>
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-turbine</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-netflix-turbine</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-actuator</artifactId>
    </dependency>
    <dependency>
        <groupId>org.springframework.cloud</groupId>
        <artifactId>spring-cloud-starter-hystrix-dashboard</artifactId>
    </dependency>
</dependencies>

2、配置檔案

spring.application.name=hystrix-dashboard-turbine
server.port=8001
turbine.appConfig=node01,node02
turbine.aggregator.clusterConfig= default
turbine.clusterNameExpression= new String("default")

eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/

• turbine.appConfig ：配置Eureka中的serviceId列表，表明監控哪些服務
• turbine.aggregator.clusterConfig ：指定聚合哪些叢集，多個使用","分割，預設為default。可使用http://.../turbine.stream?cluster={clusterConfig之一}訪問
• turbine.clusterNameExpression ： 1. clusterNameExpression指定叢集名稱，預設表示式appName；此時：turbine.aggregator.clusterConfig需要配置想要監控的應用名稱；2. 當clusterNameExpression: default時，turbine.aggregator.clusterConfig可以不寫，因為預設就是default；3. 當clusterNameExpression: metadata['cluster']時，假設想要監控的應用配置了eureka.instance.metadata-map.cluster: ABC，則需要配置，同時turbine.aggregator.clusterConfig: ABC

3、啟動類

啟動類新增@EnableTurbine，啟用對Turbine的支援

@SpringBootApplication
@EnableHystrixDashboard
@EnableTurbine
public class DashboardApplication {

    public static void main(String[] args) {
        SpringApplication.run(DashboardApplication.class, args);
    }

}

到此Turbine（hystrix-dashboard-turbine）配置完成

4、測試

在示例專案spring-cloud-consumer-hystrix基礎上修改為兩個服務的呼叫者spring-cloud-consumer-node1和spring-cloud-consumer-node2

spring-cloud-consumer-node1專案改動如下：
application.properties檔案內容

spring.application.name=node01
server.port=9001
feign.hystrix.enabled=true

eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/

spring-cloud-consumer-node2專案改動如下：
application.properties檔案內容

spring.application.name=node02
server.port=9002
feign.hystrix.enabled=true

eureka.client.serviceUrl.defaultZone=http://localhost:8000/eureka/

HelloRemote類修改：

@FeignClient(name= "spring-cloud-producer2", fallback = HelloRemoteHystrix.class)
public interface HelloRemote {

    @RequestMapping(value = "/hello")
    public String hello2(@RequestParam(value = "name") String name);

}

對應的HelloRemoteHystrix和ConsumerController類跟隨修改，具體檢視程式碼

修改完畢後，依次啟動spring-cloud-eureka、spring-cloud-consumer-node1、spring-cloud-consumer-node1、hystrix-dashboard-turbine（Turbine）

開啟eureka後臺可以看到註冊了三個服務：

訪問 http://localhost:8001/turbine.stream

返回：

: ping
data: {"reportingHostsLast10Seconds":1,"name":"meta","type":"meta","timestamp":1494921985839}

並且會不斷重新整理以獲取實時的監控資料，說明和單個的監控類似，返回監控專案的資訊。進行圖形化監控檢視，輸入：http://localhost:8001/hystrix，返回酷酷的小熊介面，輸入： http://localhost:8001/turbine.stream，然後點選 Monitor Stream ,可以看到出現了倆個監控列表

示例程式碼

參考：

使用Spring Cloud與Docker實戰微服務