Unify multiple Azure Monitor Application Insights resources

This article describes how to query and view all your Application Insights application log data in one place, even when they are in different Azure subscriptions, as a replacement for the deprecation of the Application Insights Connector. The number of resources Application Insights resources that you can include in a single query is limited to 100.

Listing multiple Application Insights resources in a query can be cumbersome and difficult to maintain. Instead, you can leverage function to separate the query logic from the applications scoping.

This example demonstrates how you can monitor multiple Application Insights resources and visualize the count of failed requests by application name. Before you begin, run this query in the workspace that is connected to Application Insights resources to get the list of connected applications:

| summarize by ApplicationName

Create a function using union operator with the list of applications, then save the query in your workspace as function with the alias applicationsScoping.

union withsource=SourceApp 
| parse SourceApp with * "('" applicationName "')" *  


You can modify the listed applications at any time in the portal by navigating to Query explorer in your workspace and selecting the function for editing and then saving, or using the SavedSearch PowerShell cmdlet. The withsource= SourceApp command adds a column to the results that designates the application that sent the log.

The query uses Application Insights schema, although the query is executed in the workspace since the applicationsScoping function returns the Application Insights data structure.

The parse operator is optional in this example, it extracts the application name from SourceApp property.

You are now ready to use applicationsScoping function in the cross-resource query:

| where timestamp > ago(12h)
| where success == 'False'
| parse SourceApp with * '(' applicationName ')' * 
| summarize count() by applicationName, bin(timestamp, 1h) 
| render timechart

The function alias returns the union of the requests from all the defined applications. The query then filters for failed requests and visualizes the trends by application.

Cross-query results example

Query across Application Insights resources and workspace data

When you stop the Connector and need to perform queries over a time range that was trimmed by Application Insights data retention (90 days), you need to perform cross-resource queries on the workspace and Application Insights resources for an intermediate period. This is until your applications data accumulates per the new Application Insights data retention mentioned above. The query requires some manipulations since the schemas in Application Insights and the workspace are different. See the table later in this section highlighting the schema differences.


Cross-resource query in log alerts is supported in the new scheduledQueryRules API. By default, Azure Monitor uses the legacy Log Analytics Alert API for creating new log alert rules from Azure portal, unless you switch from legacy Log Alerts API. After the switch, the new API becomes the default for new alert rules in Azure portal and it lets you create cross-resource query log alerts rules. You can create cross-resource query log alert rules without making the switch by using the ARM template for scheduledQueryRules API – but this alert rule is manageable though scheduledQueryRules API and not from Azure portal.

For example, if the connector stopped working on 2018-11-01, when you query logs across Application Insights resources and applications data in the workspace, your query would be constructed like the following example:

applicationsScoping //this brings data from Application Insights resources 
| where timestamp between (datetime("2018-11-01") .. now()) 
| where success == 'False' 
| where duration > 1000 
| union ( 
    ApplicationInsights //this is Application Insights data in Log Analytics workspace 
    | where TimeGenerated < (datetime("2018-12-01") 
    | where RequestSuccess == 'False' 
    | where RequestDuration > 1000 
    | extend duration = RequestDuration //align to Application Insights schema 
    | extend timestamp = TimeGenerated //align to Application Insights schema 
    | extend name = RequestName //align to Application Insights schema 
    | extend resultCode = ResponseCode //align to Application Insights schema 
    | project-away RequestDuration , RequestName , ResponseCode , TimeGenerated 
| project timestamp , duration , name , resultCode 

Application Insights and Log Analytics workspace schema differences

The following table shows the schema differences between Log Analytics and Application Insights.

Log Analytics workspace properties Application Insights resource properties
AnonUserId user_id
ApplicationId appId
ApplicationName appName
ApplicationTypeVersion application_Version
AvailabilityCount itemCount
AvailabilityDuration duration
AvailabilityMessage message
AvailabilityRunLocation location
AvailabilityTestId id
AvailabilityTestName name
AvailabilityTimestamp timestamp
Browser client_browser
City client_city
ClientIP client_IP
Computer cloud_RoleInstance
Country client_CountryOrRegion
CustomEventCount itemCount
CustomEventDimensions customDimensions
CustomEventName name
DeviceModel client_Model
DeviceType client_Type
ExceptionCount itemCount
ExceptionHandledAt handledAt
ExceptionMessage message
ExceptionType type
OperationID operation_id
OperationName operation_Name
OS client_OS
PageViewCount itemCount
PageViewDuration duration
PageViewName name
ParentOperationID operation_Id
RequestCount itemCount
RequestDuration duration
RequestID id
RequestName name
RequestSuccess success
ResponseCode resultCode
Role cloud_RoleName
RoleInstance cloud_RoleInstance
SessionId session_Id
SourceSystem operation_SyntheticSource
TelemetryTYpe type
URL _url
UserAccountId user_AccountId

Next steps

Use Log Search to view detailed information for your Application Insights apps.