[博客迁移]探索Windows Azure 监控和自动伸缩系列2 - 获取虚拟机的监控定义和监控数据

上一篇博文介绍了如何连接Windows Azure: 本篇我们继续上次的示例代码,获取虚拟机的监控定义和监控数据。有人会问,Azure Portal上已经有了监控数据,通过代码获取有意思吗?我们计划基于性能计数器的监控数据来实现应用的自动伸缩,因此可以获取到监控指标定义和监控数据应该是第一步。在Azure的管理Portal中我们可以看到虚拟机的监控数据,目前,提供的主要有以下监控指标:CPU Percentage;Disk Read; Disk Write; Network in;NetWork Out。Azure中监控的Nuget主要是这个:Microsoft Azure Management Libraries核心的几个namespace有:我们本篇用的是Metric这个命名空间,核心类MetricClient:
namespace AzureTest
{
    using Microsoft.WindowsAzure;
    using Microsoft.WindowsAzure.Management.Monitoring.Metrics;
    using Microsoft.WindowsAzure.Management.Monitoring.Metrics.Models;
    using Microsoft.WindowsAzure.Management.Monitoring.Utilities;

    /// <summary>
    /// 监控客户端
    /// </summary>
    class MonitorClient
    {
        private SubscriptionCloudCredentials credentials;

        public MonitorClient(SubscriptionCloudCredentials credentials)
        {
            this.credentials = credentials;
        }

        /// <summary>
        /// 获取所有的监控指标
        /// </summary>
        public void GetMetricDefinitions()
        {
            var metricsClient = new MetricsClient(credentials);
            // Build the resource ID string.
            var resourceId = ResourceIdBuilder.BuildVirtualMachineResourceId("cloudServiceName", "deploymentName");
            Console.WriteLine("Resource Id: {0}", resourceId);

            //Get the metric definitions.
            var metricListResponse=
                metricsClient.MetricDefinitions.List(resourceId, null, null);34 
            MetricDefinitionCollection metricDefinitions = metricListResponse.MetricDefinitionCollection;           
            // Display the metric definitions.
            int count = 0;
            foreach (MetricDefinition metricDefinition in metricDefinitions.Value)
            {
                Console.WriteLine("MetricDefinitio: " + count++);
                Console.WriteLine("Display Name: " + metricDefinition.DisplayName);
                Console.WriteLine("Metric Name: " + metricDefinition.Name);                
                Console.WriteLine("Metric Namespace: " + metricDefinition.Namespace);                
                Console.WriteLine("Is Altertable: " + metricDefinition.IsAlertable);
                Console.WriteLine("Min. Altertable Time Window: " + metricDefinition.MinimumAlertableTimeWindow);
                Console.WriteLine();
            }
        }
}
}
使用上一篇我们的Azure 凭据验证器,获取一个令牌凭据TokenCloudCredentials,然后构造一个MonitorClient,获取指定虚拟机的监控数据。
static void Main(string[] args)
{            
      var credential = Authorizator.GetCredentials();
      var client = new MonitorClient(credential);
      client.GetMetricDefinitions();
      Console.ReadLine();
}
第一块代码中:var resourceId = ResourceIdBuilder.BuildVirtualMachineResourceId("cloudServiceName", "deploymentName");这个地方通ResourceIDBuilder获取虚拟机的资源ID,对应的参数分别为:cloudServiceName和deploymentName,第一个是虚拟机使用的云服务名称,第二个是虚拟机名称即可。Run...出错了:{"ForbiddenError: The server failed to authenticate the request. Verify that the certificate is valid and is associated with this subscription."}一番Google后未果,咋整,再分析下错误信息:可以看到,请求的Uri:{https://management.core.windows.net/37*****-5107-*****-*******6/services/monitoring/metricdefinitions/query?&resourceId=%2Fhostedservices%2Fteldptapp%2Fdeployments%2Fteldptapp}请求又跑到Azure Global那去了。这个错误困扰了好久,还在StackOverflow上发了英文咨询贴,不知道洋人们如何回答了。在此多谢鞠强老大的指导,想办法将请求的Uri定位到中国区的Azure。重新分析了代码,找到了Monitor的构造函数中,可以指定Uri,将中国区Azure的Uri指定一下:https://management.core.chinacloudapi.cn
MetricsClient metricsClient = new MetricsClient(credentials, new Uri("https://management.core.chinacloudapi.cn/"));
测试通过,ok。获取到了监控指标定义,接下来我们获取监控数据:
namespace AzureTest
{
    using Microsoft.WindowsAzure;
    using Microsoft.WindowsAzure.Management.Monitoring.Metrics;
    using Microsoft.WindowsAzure.Management.Monitoring.Metrics.Models;
    using Microsoft.WindowsAzure.Management.Monitoring.Utilities;
    /// <summary>
    /// 监控客户端
    /// </summary>
    class MonitorClient
    {
        private SubscriptionCloudCredentials credentials;

        public MonitorClient(SubscriptionCloudCredentials credentials)
        {
            this.credentials = credentials;
        }

        /// <summary>
        /// 获取所有的监控指标数据
        /// </summary>
        public void GetMetricData()
        {
            var metricsClient = new MetricsClient(credentials, new Uri("https://management.core.chinacloudapi.cn/"));
            
            // Build the resource ID string.
            var resourceId = ResourceIdBuilder.BuildVirtualMachineResourceId("cloudServiceName", "deploymentName");
            Console.WriteLine("Resource Id: {0}", resourceId);

            //Get the metric definitions.
            var metricListResponse = metricsClient.MetricDefinitions.List(resourceId, null, null);
            MetricDefinitionCollection metricDefinitions = metricListResponse.MetricDefinitionCollection;
            
            var metricNamespace = "";
            var metricNames = new List<string>();
            // Display the metric definitions.
            int count = 0;
            foreach (MetricDefinition metricDefinition in metricDefinitions.Value)
            {
                Console.WriteLine("MetricDefinitio: " + count++);
                Console.WriteLine("Display Name: " + metricDefinition.DisplayName);
                Console.WriteLine("Metric Name: " + metricDefinition.Name);
                if (!metricNames.Contains(metricDefinition.Name))
                    metricNames.Add(metricDefinition.Name);
                Console.WriteLine("Metric Namespace: " + metricDefinition.Namespace);
                metricNamespace = metricDefinition.Namespace;
                Console.WriteLine("Is Altertable: " + metricDefinition.IsAlertable);
                Console.WriteLine("Min. Altertable Time Window: " + metricDefinition.MinimumAlertableTimeWindow);
                Console.WriteLine();
            }

            // timeGrain must be 5, 60 or 720 minutes.
            TimeSpan timeGrain = TimeSpan.FromMinutes(5);
            DateTime startTime = DateTime.UtcNow.AddHours(-1);
            DateTime endTime = DateTime.UtcNow;

            MetricValueListResponse response = metricsClient.MetricValues.List(resourceId, metricNames, metricNamespace, timeGrain, startTime, endTime);

            foreach (MetricValueSet value in response.MetricValueSetCollection.Value)
            {
                String valueName = value.Name;
                Console.WriteLine("MetricValue:{0}", valueName);
                foreach (MetricValue metricValue in value.MetricValues)
                {
                    Console.WriteLine("Maximum:{0}{1}", metricValue.Maximum, value.Unit);
                    Console.WriteLine("Average:{0}{1}", metricValue.Average, value.Unit);
                    Console.WriteLine("Minimum:{0}{1}", metricValue.Minimum, value.Unit);
                }
            }
        }
    }
}
Run...程序在metricsClient.MetricValues.List(resourceId, metricNames, metricNamespace, timeGrain, startTime, endTime);出错了:
Additional information: <string xmlns="http://schemas.microsoft.com/2003/10/Serialization/">{"Code":"InvalidRequest","Message":"Could not retrieve metrics."}</string>为啥不能获取监控指标呢?这个错误,Google一番依旧未果,咨询了微软的技术工程师,给了如下指导,resouceID必须执行RoleName:
var resourceId = ResourceIdBuilder.BuildVirtualMachineResourceId("cloudService", "deploymentName", "roleName");
修改之后,问题解决。至此,我们已经可以获取到监控指标和监控数据,下一步我们要获取自定义的性能计数器,基于自定义的性能计数器来实现自动伸缩。 周国庆2016/3

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