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Azure Monitor is a comprehensive solution that collects, analyzes, and acts on telemetry from cloud and on-premises environments. It helps to understand how applications are performing and proactively identifies issues affecting them and the resources they depend on.
To set up alerts in Azure Monitor, you can follow these steps:
From here, you will need to configure the alert criteria:
When an alert is triggered, Azure can perform actions such as sending emails, SMS messages, calling a webhook, or executing an Azure Function. These actions are encapsurated in an action group. To create an action group:
In the action group, you can configure several types of actions, a few include:
Beyond notifications, Azure allows for automated responses through the use of Azure Automation Runbooks. For example, if a Virtual Machine is experiencing high CPU usage, a Runbook could be configured to restart the VM.
Here is a simple flow for setting up a Runbook action:
Action Type | Use Case |
---|---|
Email/SMS/Push/Voice | Notify stakeholders of incidents |
Azure Function | Execute custom code for complex actions |
Logic App | Automate workflows with multiple steps |
Webhook | Integrate with external services |
Automation Runbook | Automated remediation tasks |
Azure provides several tools specifically for monitoring the health and connectivity of network resources. Network Watcher is one such tool that provides the ability to diagnose network performance and health. Features like NSG Flow Logs, Traffic Analytics, and Connection Monitor offer detailed insights into your network traffic and can be leveraged to trigger alerts and actions as necessary.
Setting up alerts and actions is a vital part of managing Azure resources and ensures you can respond proactively to any issues or incidents. Familiarity with Azure Monitor, Action Groups, and relevant monitoring tools is essential for an Azure Administrator, providing the capabilities required for efficient and effective resource management. Through careful configuration and application of these features, Azure resources can be maintained at optimal levels, adhering to the standards expected in a professionally managed cloud environment.
Azure Monitor allows you to create alert rules based on metrics, logs, and activity log events, helping you remain proactive in monitoring the health and performance of your Azure resources.
D) All of the above
Automated responses to alerts can be executed using Azure Automation, Azure Functions, and Azure Logic Apps, depending on the complexity and requirements of the task.
While action groups are recommended for performing actions in response to alerts, it is possible to set up alerts that just notify without specifying an action group.
A) Sending an email/SMS/Push/Voice message, B) Starting an Azure Automation runbook
Action groups in Azure can perform a variety of actions such as sending notifications and starting an Azure Automation runbook. Automatically scaling a Virtual Machine Scale Set is done by defining autoscale settings, not directly by an action group, and generating a storage account access key is not an action group capability.
Azure Monitor Logs is a feature within Azure Monitor that collects and organizes log and performance data, while Azure Alerts is a service that notifies users when issues are detected based on metrics or logs data.
B) Azure Action Group
Azure Action Groups are specifically designed to organize the actions and notification scenarios when an alert is triggered in Azure.
An action group can be reused across multiple alert rules. You do not need to create a new one for every alert; you can assign existing action groups to new alerts.
D) All of the above
Azure Alerts can be set up for a wide range of Azure services, including Virtual Machines, Blob Storage, and SQL Databases.
Azure Monitor provides capability to monitor the health and availability of various services, including Azure Active Directory.
A) Threshold values, B) Evaluation frequency, D) Time aggregation type
When configuring an alert rule, it is important to set threshold values that define when the alert should fire, choose how frequently the data should be evaluated, and select the type of time aggregation for the metric.
Azure alerts can be configured to be triggered by events of any severity level, as defined by the user’s specified criteria, not just high-severity events.
An alert rule is usually scoped to a specific subscription or resource, and a single action group is specified per alert rule; different action groups per subscription within the same alert rule aren’t typically configured. However, you can have different alert rules for different subscriptions each with their own action group.
Azure Monitor Alerts is a feature of Azure Monitor that allows you to create and manage alerts based on metrics, logs, or events.
You can create alerts based on metrics, logs, or events.
The three components of an Azure Monitor alert are the condition, the action, and the logic that determines when the alert fires.
To create an alert based on a metric, you need to specify a condition that checks for a particular value or range of values for the metric, and then specify one or more actions that are triggered when the condition is met.
A dynamic threshold alert is an alert that uses machine learning to automatically set the alert threshold based on historical data.
A metric-based log alert is an alert that is triggered when a log entry contains a value that meets a specified metric condition.
An action group is a collection of actions that can be triggered by an alert.
You can trigger a wide range of actions, including sending an email or text message, creating a ticket in an ITSM system, and triggering an Azure Function.
To create an action group, you need to specify one or more actions, such as sending an email or text message, and then assign a name and a notification threshold.
To set up an alert based on log data, you need to create a query that returns the log entries you want to monitor, and then specify a condition that checks for a particular value or range of values in the query results.
A metric alert rule in Azure Monitor is a rule that triggers an alert when a specified metric value meets a defined threshold.
To set up a dynamic threshold alert in Azure Monitor, you need to select a machine learning algorithm and configure it to analyze historical data and predict future values.
A log alert rule in Azure Monitor is a rule that triggers an alert when a log entry meets a defined condition.
To configure an action in Azure Monitor, you need to specify the action type, such as sending an email or triggering an Azure Function, and then configure the details of the action.
To configure a metric-based log alert in Azure Monitor, you need to create a query that returns the log entries you want to monitor, and then specify a condition that checks for a particular value or range of values in the query results.
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