Question

如果FailedRequests的数量大于要接收警报的99％，则我试图在15分钟内建立警报。我已经编写了一个KQL查询，但不幸的是，即使没有真正的问题发生，也就是没有真正获得大于99％的条件，它还是会触发。以下是该查询，我确定我在此方面犯了一些愚蠢的错误吗？

任何修复上述查询的帮助，因此只有在关键时刻（即收到的所有请求均失败）时，它才能真正给出结果。

requests 
| where cloud_RoleName == 'ABCDEF_cloudRName' and resultCode != '404' 
| summarize FailedPercent=((countif(success == false))/count() by timestamp, cloud_RoleName, appName)*100 
| where FailedPercent > 99 
| project RelatedCI='XYZZZ',AlarmTime=timestamp,Category="Cloud-Azure-Monitor",SubCategory="Application",Object=appName ,"Value of Metric","Percentage Failed Requests"," is ", FailedPercent

Answer 1

Here是当失败百分比大于xx％时发送警报的类似问题。

我只是编写查询，如果不满足您的需要，请随时对其进行修改：

requests
| where resultCode != "404" and success == "False" 
| summarize exceptionsCount =count()
| extend a = "a"
| join
(
    requests
    | where resultCode != "404" 
    | summarize requestsCount =count()
    | extend a = "a"
)
on a
| project isFail = 1.0 * exceptionsCount / requestsCount > 0.99 //check if the failed percentage is greater than 99%.
| project rr=iff(isFail, "Fail","Pass" ) 
| where rr=="Fail"

查询代码准备就绪后，您可以按照上面issue中的步骤创建基于查询的警报。

查询以获取失败的百分比请求Azure应用程序见解

1 个答案: