当Azure Monitor 数据指示你的基础结构或应用程序可能出现问题时,警报有助于检测和解决用户注意到问题。 可以针对 Azure Monitor 数据平台中的任何指标或日志数据源发出警报。 此图向你展示了警报的工作原理。 警报规则会监视你的数据并捕获指示指定资源上发生情况的信号。 警报规则捕获信号并检查信号是否符合条件条件。
警示頁面總結了過去 30 天內產生的所有 Azure 資源中的所有警示執行個體。 警示會儲存 30 天,並在 30 天的保留期間之後刪除。針對具狀態警示,當警示本身在 30 天後刪除,而且無法在警示頁面上檢視時,警示條件會儲存到警示解決之前,以防止引發另一個警示,並在警示解決時傳送通知。 如需詳細資訊,請參閱警示和狀態...
而Azure Monitor收集的数据主要可以分为两种类型,Metric以及Log,Metric主要指的是各种指标数据,类似于磁盘IO,CPU,network等,Log则包含各种事务日志,包括.NET, SQL,IIS等多种不同类型。 信息收集完毕后,根据对接平台的不同,则可以实现不同的功能,举例来说,如果将monitor对接到Azure Dashboard,则可以在Portal中根据需求...
容器见解收集的自定义指标 - Azure Monitor 介绍Azure Monitor 中的容器见解为 Kubernetes 群集收集的自定义指标。 Kubernetes 群集的指标警报规则(预览版) - Azure Monitor 介绍如何在容器见解中为 Kubernetes 群集创建推荐的指标预警规则。 从容器见解查询日志 - Azure Monitor 容器见解收集指标和日志数据。本文...
Alert conditionThe system sets the alert condition.When an alert fires, the alert's monitor condition is set to Fired. After the underlying condition that caused the alert to fire clears, the monitor condition is set to Resolved.1. What's the composition of an alert rul...
I want see an alert when my disk space less than 5Gb in virtual machine. Please provide the steps that need to be configured. I want to get the email...
Hi, I have an azure monitoring alert rule where it will check the heartbeat of my virtual machine for every 5 minutes. But, the virtual machine itself will go offline everyday at 11 PM and will b...Show More azure monitor Reply
Azure Scheduled Events is an Azure Metadata Service that gives notices programmatically to applications to alert of immediate maintenance. It provides information about upcoming maintenance events (for example reboot) so the application administrator can prepare for and limit disruption. While it might so...
New cloud tiering low disk space mode metric You can now configure an alert if a server is in low disk space mode. To learn more, seeMonitor Azure File Sync. Fixed an issue that caused the agent update to hang Miscellaneous reliability and telemetry improvement...
As of BizTalk Server 2016 Feature Pack 1, you can publish telemetry to Application Insights in Azure Monitor or to Azure Event Hubs. This approach avoids SQL Server disk capacity issues, so that you can use elastic, cloud-based data stores instead, such as Application Insights, Log Analytics,...