Google Cloud Monitoring - 警报策略：状态代码：409 - 对项目配置的并发编辑过多

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我正在尝试为 google cloud platform 中的 kubernetes 集群创建警报策略。以下是示例代码。

service, err := monitoring.newservice(context.background())
if err != nil {
    log.panicln(err)
    return
}

mqlcondition := &monitoring.monitoringquerylanguagecondition{
    duration: "60s",
    query: `fetch k8s_pod
            | metric 'kubernetes.io/pod/volume/utilization'
            | filter
                (resource.cluster_name == 'test'
                 && resource.pod_name =~ 'server.*')
                && (metric.volume_name =~ 'dat.*')
            | align mean_aligner()
            | window 10m
            | condition value.utilization > 0.001 '10^2.%'
            `,
    trigger: &monitoring.trigger{
        count: 1,
    },
}
condition := monitoring.condition{
    displayname:                      "mql-based condition",
    conditionmonitoringquerylanguage: mqlcondition,
}
alertpolicy := &monitoring.alertpolicy{
    displayname:          "prakash1",
    combiner:             "or",
    conditions:           []*monitoring.condition{&condition},
    notificationchannels: []string{"projects/abc-app/notificationchannels/16000000099515524778"},
    
}
p, err := service.projects.alertpolicies.create("projects/abc-app", alertpolicy).context(context.background()).do()
if err != nil {
    log.panicln(err)
    return
}

当我同时创建两个或多个警报策略时，出现以下错误：

"googleapi: Error 409: Too many concurrent edits to the project configuration. Please try again., aborted"

您能告诉我如何解决此错误吗？

解决方案

正如错误所示，您无法同时添加策略。我建议您并行生成创建请求并序列化实际的 api 调用。您可以通过缓冲通道和多个 go 例程来实现这一点。例如：

var(
  backlogSize = 3 //change as per your needs
  requests = make(chan *monitoring.AlertPolicy, backlogSize)
)
func createPolicies(){
  ...
  go func(){
     //init the service
     ...
     for policy := range requests {
       p, err := service.Projects.AlertPolicies.Create("projects/abc-app", policy).Context(context.Background()).Do()
       if err != nil {
         log.Println(err)
       }
     }
  }()
  go func(){
     newPolicy := &monitoring.AlertPolicy
     //fill policy
     ...
     requests <- newPolicy 
  }()
  ...
  //wait for completion and close requests channel
}

另一种解决方案是使用指数退避+抖动来重试每个失败的并发请求

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