From 92d6ac323d4e477df139e67c0d8751b52efa47e1 Mon Sep 17 00:00:00 2001 From: Soniya Mittal Date: Thu, 19 Dec 2024 11:39:31 +0530 Subject: [PATCH] Moved the recommendation from AppInsights to Specialized workload-AI --- .../Insights/components/recommendations.yaml | 19 ---------- .../dataCollectionEndpoints/_index.md | 2 +- .../recommendations.yaml | 16 --------- azure-specialized-workloads/ai/_index.md | 2 -- .../47176883-2602-455b-97f0-6c6a371bf928.kql | 0 .../89928e61-bba8-4c25-99c5-a06a09849ecc.kql | 0 .../ai/recommendations.yaml | 35 +++++++++++++++++++ 7 files changed, 36 insertions(+), 38 deletions(-) delete mode 100644 azure-resources/Insights/dataCollectionEndpoints/recommendations.yaml rename {azure-resources/Insights/dataCollectionEndpoints => azure-specialized-workloads/ai}/kql/47176883-2602-455b-97f0-6c6a371bf928.kql (100%) rename {azure-resources/Insights/components => azure-specialized-workloads/ai}/kql/89928e61-bba8-4c25-99c5-a06a09849ecc.kql (100%) create mode 100644 azure-specialized-workloads/ai/recommendations.yaml diff --git a/azure-resources/Insights/components/recommendations.yaml b/azure-resources/Insights/components/recommendations.yaml index a07733453..ef9ab21f1 100644 --- a/azure-resources/Insights/components/recommendations.yaml +++ b/azure-resources/Insights/components/recommendations.yaml @@ -14,22 +14,3 @@ learnMoreLink: - name: Migrate an Application Insights classic resource to a workspace-based resource url: "https://learn.microsoft.com/en-us/azure/azure-monitor/app/convert-classic-resource" - -- description: Create Application insights for Machine learning workspace in both the regions - aprlGuid: 89928e61-bba8-4c25-99c5-a06a09849ecc - recommendationTypeId: null - recommendationControl: DisasterRecovery - recommendationImpact: Medium - recommendationResourceType: Microsoft.Insights/components - recommendationMetadataState: Active - longDescription: | - Create Application Insights for machine learning workspace in both regions. To adjust the data-retention period, update and manage data retention in a Log Analytics workspace. - potentialBenefits: Provides monitoring and data retention in DR region - pgVerified: false - automationAvailable: true - tags: null - learnMoreLink: - - name: Data collection, retention, and storage in Application Insights - url: "https://learn.microsoft.com/en-us/azure/azure-monitor/logs/data-retention-configure?tabs=portal-3%2Cportal-1%2Cportal-2" - - name: Failover for business continuity and disaster recovery - url: "https://learn.microsoft.com/en-us/azure/machine-learning/how-to-high-availability-machine-learning?view=azureml-api-2" diff --git a/azure-resources/Insights/dataCollectionEndpoints/_index.md b/azure-resources/Insights/dataCollectionEndpoints/_index.md index a4059ddc6..a36bf4ab3 100644 --- a/azure-resources/Insights/dataCollectionEndpoints/_index.md +++ b/azure-resources/Insights/dataCollectionEndpoints/_index.md @@ -1,7 +1,7 @@ --- title: dataCollectionEndpoints geekdocCollapseSection: true -geekdocHidden: false +geekdocHidden: true --- {{< azure-resources-recommendationlist name="azure-resources-recommendationlist" >}} diff --git a/azure-resources/Insights/dataCollectionEndpoints/recommendations.yaml b/azure-resources/Insights/dataCollectionEndpoints/recommendations.yaml deleted file mode 100644 index 2ebf3d2ab..000000000 --- a/azure-resources/Insights/dataCollectionEndpoints/recommendations.yaml +++ /dev/null @@ -1,16 +0,0 @@ -- description: Enable Application insights to monitor online endpoints for Machine learning - aprlGuid: 47176883-2602-455b-97f0-6c6a371bf928 - recommendationTypeId: null - recommendationControl: MonitoringAndAlerting - recommendationImpact: High - recommendationResourceType: Microsoft.Insights/dataCollectionEndpoints - recommendationMetadataState: Active - longDescription: | - Azure Machine Learning uses integration with Azure Monitor to monitor metrics and logs for online endpoints. Use the built-in features of Application Insights (such as Live metrics, Transaction search, Failures, and Performance) for further analysis. - potentialBenefits: Monitoring endpoints gives visibility into metrics and logs - pgVerified: false - automationAvailable: true - tags: null - learnMoreLink: - - name: Monitor online endpoints using Application Insights - url: "https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-online-endpoints?view=azureml-api-2#using-application-insights" diff --git a/azure-specialized-workloads/ai/_index.md b/azure-specialized-workloads/ai/_index.md index 29c339bed..dd6bd269a 100644 --- a/azure-specialized-workloads/ai/_index.md +++ b/azure-specialized-workloads/ai/_index.md @@ -13,8 +13,6 @@ geekdocHidden: false | [Deploy a PAYG instance of the model with provisioned throughput to manage overflow effectively](../../../Azure-Proactive-Resiliency-Library-v2/azure-resources/CognitiveServices/accounts/#deploy-a-PAYG-instance-of-the-model-with-provisioned-throughput-to-manage-overflow-effectively) | CognitiveServices | accounts | | [Ensure that models are deployed using Global batch for large scale processing](../../../Azure-Proactive-Resiliency-Library-v2/azure-resources/CognitiveServices/accounts/#ensure-that-models-are-deployed-using-global-batch-for-large-scale-processing) | CognitiveServices | accounts | | [Ensure AOAI models are deployed using Data Zone Standard for data residency requirements](../../../Azure-Proactive-Resiliency-Library-v2/azure-resources/CognitiveServices/accounts/#ensure-aoai-models-are-deployed-using-data-zone-standard-for-data-residency-requirements) | CognitiveServices | accounts | -| [Enable Application insights to monitor online endpoints for Machine learning](../../../Azure-Proactive-Resiliency-Library-v2/azure-resources/Insights/dataCollectionEndpoints/#enable-application-insights-to-monitor-online-endpoints-for-machine-learning) | Insights | dataCollectionEndpoints | -| [Create Application insights for Machine learning workspace in both the regions](../../../Azure-Proactive-Resiliency-Library-v2/azure-resources/Insights/components/#create-application-insights-for-machine-learning-workspace-in-both-the-regions) | Insights | components |
diff --git a/azure-resources/Insights/dataCollectionEndpoints/kql/47176883-2602-455b-97f0-6c6a371bf928.kql b/azure-specialized-workloads/ai/kql/47176883-2602-455b-97f0-6c6a371bf928.kql similarity index 100% rename from azure-resources/Insights/dataCollectionEndpoints/kql/47176883-2602-455b-97f0-6c6a371bf928.kql rename to azure-specialized-workloads/ai/kql/47176883-2602-455b-97f0-6c6a371bf928.kql diff --git a/azure-resources/Insights/components/kql/89928e61-bba8-4c25-99c5-a06a09849ecc.kql b/azure-specialized-workloads/ai/kql/89928e61-bba8-4c25-99c5-a06a09849ecc.kql similarity index 100% rename from azure-resources/Insights/components/kql/89928e61-bba8-4c25-99c5-a06a09849ecc.kql rename to azure-specialized-workloads/ai/kql/89928e61-bba8-4c25-99c5-a06a09849ecc.kql diff --git a/azure-specialized-workloads/ai/recommendations.yaml b/azure-specialized-workloads/ai/recommendations.yaml new file mode 100644 index 000000000..a10a0dd1a --- /dev/null +++ b/azure-specialized-workloads/ai/recommendations.yaml @@ -0,0 +1,35 @@ +- description: Enable Application insights to monitor online endpoints for Azure Machine learning + aprlGuid: 47176883-2602-455b-97f0-6c6a371bf928 + recommendationTypeId: null + recommendationControl: MonitoringAndAlerting + recommendationImpact: Medium + recommendationResourceType: Microsoft.Subscription/subscriptions + recommendationMetadataState: Active + longDescription: | + Azure Machine Learning uses integration with Azure Monitor to monitor metrics and logs for online endpoints. Use the built-in features of Application Insights (such as Live metrics, Transaction search, Failures, and Performance) for further analysis. + potentialBenefits: Monitoring endpoints gives visibility into metrics and logs + pgVerified: false + automationAvailable: false + tags: AI + learnMoreLink: + - name: Monitor online endpoints using Application Insights + url: "https://learn.microsoft.com/en-us/azure/machine-learning/how-to-monitor-online-endpoints?view=azureml-api-2#using-application-insights" + +- description: Create Application insights for Machine learning workspace in both the regions + aprlGuid: 89928e61-bba8-4c25-99c5-a06a09849ecc + recommendationTypeId: null + recommendationControl: DisasterRecovery + recommendationImpact: Medium + recommendationResourceType: Microsoft.Subscription/subscriptions + recommendationMetadataState: Active + longDescription: | + Create Application Insights for machine learning workspace in both regions. To adjust the data-retention period, update and manage data retention in a Log Analytics workspace. + potentialBenefits: Provides monitoring and data retention in DR region + pgVerified: false + automationAvailable: false + tags: AI + learnMoreLink: + - name: Data collection, retention, and storage in Application Insights + url: "https://learn.microsoft.com/en-us/azure/azure-monitor/logs/data-retention-configure?tabs=portal-3%2Cportal-1%2Cportal-2" + - name: Failover for business continuity and disaster recovery + url: "https://learn.microsoft.com/en-us/azure/machine-learning/how-to-high-availability-machine-learning?view=azureml-api-2"