Metric Alerts - Update

PATCH https://management.azure.com/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourceGroups/gigtest/providers/Microsoft.Insights/metricAlerts/chiricutin?api-version=2024-03-01-preview

{
  "tags": {},
  "properties": {
    "description": "This is the description of the rule1",
    "severity": 3,
    "enabled": true,
    "scopes": [
      "/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourceGroups/gigtest/providers/Microsoft.Compute/virtualMachines/gigwadme"
    ],
    "evaluationFrequency": "PT1M",
    "windowSize": "PT15M",
    "criteria": {
      "odata.type": "Microsoft.Azure.Monitor.SingleResourceMultipleMetricCriteria",
      "allOf": [
        {
          "criterionType": "StaticThresholdCriterion",
          "name": "High_CPU_80",
          "metricName": "\\Processor(_Total)\\% Processor Time",
          "dimensions": [],
          "operator": "GreaterThan",
          "threshold": 80.5,
          "timeAggregation": "Average"
        }
      ]
    },
    "autoMitigate": true,
    "actions": [
      {
        "actionGroupId": "/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourcegroups/gigtest/providers/microsoft.insights/actiongroups/group2",
        "webHookProperties": {
          "key11": "value11",
          "key12": "value12"
        }
      }
    ]
  }
}

from azure.identity import DefaultAzureCredential

from azure.mgmt.monitor import MonitorManagementClient

"""
# PREREQUISITES
    pip install azure-identity
    pip install azure-mgmt-monitor
# USAGE
    python update_metric_alert.py

    Before run the sample, please set the values of the client ID, tenant ID and client secret
    of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID,
    AZURE_CLIENT_SECRET. For more info about how to get the value, please see:
    https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal
"""


def main():
    client = MonitorManagementClient(
        credential=DefaultAzureCredential(),
        subscription_id="14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7",
    )

    response = client.metric_alerts.update(
        resource_group_name="gigtest",
        rule_name="chiricutin",
        parameters={
            "properties": {
                "actions": [
                    {
                        "actionGroupId": "/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourcegroups/gigtest/providers/microsoft.insights/actiongroups/group2",
                        "webHookProperties": {"key11": "value11", "key12": "value12"},
                    }
                ],
                "autoMitigate": True,
                "criteria": {
                    "allOf": [
                        {
                            "criterionType": "StaticThresholdCriterion",
                            "dimensions": [],
                            "metricName": "\\Processor(_Total)\\% Processor Time",
                            "name": "High_CPU_80",
                            "operator": "GreaterThan",
                            "threshold": 80.5,
                            "timeAggregation": "Average",
                        }
                    ],
                    "odata.type": "Microsoft.Azure.Monitor.SingleResourceMultipleMetricCriteria",
                },
                "description": "This is the description of the rule1",
                "enabled": True,
                "evaluationFrequency": "PT1M",
                "scopes": [
                    "/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourceGroups/gigtest/providers/Microsoft.Compute/virtualMachines/gigwadme"
                ],
                "severity": 3,
                "windowSize": "PT15M",
            },
            "tags": {},
        },
    )
    print(response)


# x-ms-original-file: specification/monitor/resource-manager/Microsoft.Insights/preview/2024-03-01-preview/examples/UpdateMetricAlert.json
if __name__ == "__main__":
    main()

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue

using Azure;
using Azure.ResourceManager;
using System;
using System.Threading.Tasks;
using System.Xml;
using Azure.Core;
using Azure.Identity;
using Azure.ResourceManager.Monitor.Models;
using Azure.ResourceManager.Monitor;

// Generated from example definition: specification/monitor/resource-manager/Microsoft.Insights/preview/2024-03-01-preview/examples/UpdateMetricAlert.json
// this example is just showing the usage of "MetricAlerts_Update" operation, for the dependent resources, they will have to be created separately.

// get your azure access token, for more details of how Azure SDK get your access token, please refer to https://learn.microsoft.com/en-us/dotnet/azure/sdk/authentication?tabs=command-line
TokenCredential cred = new DefaultAzureCredential();
// authenticate your client
ArmClient client = new ArmClient(cred);

// this example assumes you already have this MetricAlertResource created on azure
// for more information of creating MetricAlertResource, please refer to the document of MetricAlertResource
string subscriptionId = "14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7";
string resourceGroupName = "gigtest";
string ruleName = "chiricutin";
ResourceIdentifier metricAlertResourceId = MetricAlertResource.CreateResourceIdentifier(subscriptionId, resourceGroupName, ruleName);
MetricAlertResource metricAlert = client.GetMetricAlertResource(metricAlertResourceId);

// invoke the operation
MetricAlertPatch patch = new MetricAlertPatch
{
    Tags = { },
    Description = "This is the description of the rule1",
    Severity = 3,
    IsEnabled = true,
    Scopes = { "/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourceGroups/gigtest/providers/Microsoft.Compute/virtualMachines/gigwadme" },
    EvaluationFrequency = XmlConvert.ToTimeSpan("PT1M"),
    WindowSize = XmlConvert.ToTimeSpan("PT15M"),
    Criteria = new MetricAlertSingleResourceMultipleMetricCriteria
    {
        AllOf = {new MetricCriteria("High_CPU_80", "\\Processor(_Total)\\% Processor Time", MetricCriteriaTimeAggregationType.Average, MetricCriteriaOperator.GreaterThan, 80.5)
        {
        Dimensions = {},
        }},
    },
    IsAutoMitigateEnabled = true,
    Actions = {new MetricAlertAction
    {
    ActionGroupId = new ResourceIdentifier("/subscriptions/14ddf0c5-77c5-4b53-84f6-e1fa43ad68f7/resourcegroups/gigtest/providers/microsoft.insights/actiongroups/group2"),
    WebHookProperties =
    {
    ["key11"] = "value11",
    ["key12"] = "value12"
    },
    }},
};
MetricAlertResource result = await metricAlert.UpdateAsync(patch);

// the variable result is a resource, you could call other operations on this instance as well
// but just for demo, we get its data from this resource instance
MetricAlertData resourceData = result.Data;
// for demo we just print out the id
Console.WriteLine($"Succeeded on id: {resourceData.Id}");

To use the Azure SDK library in your project, see this documentation. To provide feedback on this code sample, open a GitHub issue