feat: EXP environment changes for Log Analytics workspace

Author: Vamshi-Microsoft

documents/CustomizingAzdParameters.md

@@ -45,4 +45,9 @@ Change the Embedding Deployment Capacity (choose a number based on available emb
 
 ```shell
 azd env set AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY 80
+```
+
+Set the Log Analytics Workspace Id if you need to reuse the existing workspace which is already existing
+```shell
+azd env set AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID '<Existing Log Analytics Workspace Id>'
 ```

documents/DeploymentGuide.md

@@ -116,6 +116,8 @@ When you start the deployment, most parameters will have **default values**, but
 | **GPT Model Deployment Capacity** | Configure capacity for **GPT models**. | 30k |
 | **Embedding Model** | Default: **text-embedding-ada-002**. | text-embedding-ada-002 |
 | **Embedding Model Capacity** | Set the capacity for **embedding models**. | 80k |
+| **Existing Log analytics workspace** | To reuse the existing Log analytics workspace Id. |  |
+
 
 </details>
 

infra/deploy_ai_foundry.bicep

@@ -10,6 +10,8 @@ param gptDeploymentCapacity int
 param embeddingModel string
 param embeddingDeploymentCapacity int
 param managedIdentityObjectId string
+param existingLogAnalyticsWorkspaceId string = ''
+
 var abbrs = loadJsonContent('./abbreviations.json')
 // var storageName = '${solutionName}hubstorage'
 // var storageSkuName = 'Standard_LRS'
@@ -73,11 +75,20 @@ var aiModelDeployments = [
 
 var containerRegistryNameCleaned = replace(containerRegistryName, '-', '')
 
+var useExisting = !empty(existingLogAnalyticsWorkspaceId)
+var existingLawResourceGroup = useExisting ? split(existingLogAnalyticsWorkspaceId, '/')[4] : ''
+var existingLawName = useExisting ? split(existingLogAnalyticsWorkspaceId, '/')[8] : ''
+
 resource keyVault 'Microsoft.KeyVault/vaults@2022-07-01' existing = {
   name: keyVaultName
 }
 
-resource logAnalytics 'Microsoft.OperationalInsights/workspaces@2023-09-01' = {
+resource existingLogAnalyticsWorkspace 'Microsoft.OperationalInsights/workspaces@2023-09-01' existing = if (useExisting) {
+  name: existingLawName
+  scope: resourceGroup(existingLawResourceGroup)
+}
+
+resource logAnalytics 'Microsoft.OperationalInsights/workspaces@2023-09-01' = if (!useExisting){
   name: workspaceName
   location: location
   tags: {}
@@ -97,7 +108,7 @@ resource applicationInsights 'Microsoft.Insights/components@2020-02-02' = {
     Application_Type: 'web'
     publicNetworkAccessForIngestion: 'Enabled'
     publicNetworkAccessForQuery: 'Disabled'
-    WorkspaceResourceId: logAnalytics.id
+    WorkspaceResourceId: useExisting ? existingLogAnalyticsWorkspace.id : logAnalytics.id
   }
 }
 
@@ -714,7 +725,9 @@ output aiSearchService string = aiSearch.name
 output aiProjectName string = aiHubProject.name
 
 output applicationInsightsId string = applicationInsights.id
-output logAnalyticsWorkspaceResourceName string = logAnalytics.name
+output logAnalyticsWorkspaceResourceName string = useExisting ? existingLogAnalyticsWorkspace.name : logAnalytics.name
+output logAnalyticsWorkspaceResourceGroup string = useExisting ? existingLawResourceGroup : resourceGroup().name
+
 output storageAccountName string = storageNameCleaned
 
 output azureOpenAIKeyName string = azureOpenAIApiKeyEntry.name

infra/deploy_post_deployment_scripts.bicep

@@ -17,11 +17,12 @@ param sqlDbName string
 param sqlUsers array = [
 ]
 param logAnalyticsWorkspaceResourceName string
+param logAnalyticsWorkspaceResourceGroup string
 var resourceGroupName = resourceGroup().name
 
 resource logAnalytics 'Microsoft.OperationalInsights/workspaces@2020-10-01' existing = {
   name: logAnalyticsWorkspaceResourceName
-  scope: resourceGroup()
+  scope: resourceGroup(logAnalyticsWorkspaceResourceGroup)
 }
 
 resource containerAppEnv 'Microsoft.App/managedEnvironments@2022-03-01' = {

infra/main.bicep

@@ -6,6 +6,9 @@ var abbrs = loadJsonContent('./abbreviations.json')
 @description('A unique prefix for all resources in this deployment. This should be 3-20 characters long:')
 param environmentName string
 
+@description('Optional: Existing Log Analytics Workspace Resource ID')
+param existingLogAnalyticsWorkspaceId string = ''
+
 @minLength(1)
 @description('Location for the Content Understanding service deployment:')
 @allowed(['swedencentral', 'australiaeast'])
@@ -107,6 +110,8 @@ module aifoundry 'deploy_ai_foundry.bicep' = {
     embeddingModel: embeddingModel
     embeddingDeploymentCapacity: embeddingDeploymentCapacity
     managedIdentityObjectId: managedIdentityModule.outputs.managedIdentityOutput.objectId
+    existingLogAnalyticsWorkspaceId: existingLogAnalyticsWorkspaceId
+
   }
   scope: resourceGroup(resourceGroup().name)
 }
@@ -168,6 +173,7 @@ module uploadFiles 'deploy_post_deployment_scripts.bicep' = {
     managedIdentityClientId:managedIdentityModule.outputs.managedIdentityOutput.clientId
     keyVaultName:aifoundry.outputs.keyvaultName
     logAnalyticsWorkspaceResourceName: aifoundry.outputs.logAnalyticsWorkspaceResourceName
+    logAnalyticsWorkspaceResourceGroup: aifoundry.outputs.logAnalyticsWorkspaceResourceGroup
     sqlServerName: sqlDBModule.outputs.sqlServerName
     sqlDbName: sqlDBModule.outputs.sqlDbName
     sqlUsers: [

infra/main.bicepparam

@@ -9,3 +9,4 @@ param gptModelName = readEnvironmentVariable('AZURE_OPEN_AI_DEPLOYMENT_MODEL', '
 param gptDeploymentCapacity = int(readEnvironmentVariable('AZURE_OPEN_AI_DEPLOYMENT_MODEL_CAPACITY', '30'))
 param embeddingModel = readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL', 'text-embedding-ada-002')
 param embeddingDeploymentCapacity = int(readEnvironmentVariable('AZURE_OPENAI_EMBEDDING_MODEL_CAPACITY', '80'))
+param existingLogAnalyticsWorkspaceId = readEnvironmentVariable('AZURE_ENV_LOG_ANALYTICS_WORKSPACE_ID', '')