Skip to content

Commit 87b80cf

Browse files
authored
Merge pull request #215533 from Harish-MSFT/docs-editor/monitor-using-azure-monitor-1666437783
Added additional partner solution details and link to it as seen in ADF diagnostic logs page
2 parents f7521f5 + 4913ec5 commit 87b80cf

File tree

1 file changed

+5
-7
lines changed

1 file changed

+5
-7
lines changed

articles/data-factory/monitor-using-azure-monitor.md

Lines changed: 5 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -8,17 +8,15 @@ ms.custom: contperf-fy22q1
88
ms.service: data-factory
99
ms.subservice: monitoring
1010
ms.topic: conceptual
11-
ms.date: 09/02/2021
11+
ms.date: 10/22/2022
1212
---
1313

1414
# Monitor and Alert Data Factory by using Azure Monitor
1515

1616
[!INCLUDE[appliesto-adf-xxx-md](includes/appliesto-adf-xxx-md.md)]
1717

1818
Cloud applications are complex and have many moving parts. Monitors provide data to help ensure that your applications stay up and running in a healthy state. Monitors also help you avoid potential problems and troubleshoot past ones. You can use monitoring data to gain deep insights about your applications. This knowledge helps you improve application performance and maintainability. It also helps you automate actions that otherwise require manual intervention.
19-
2019
Azure Monitor provides base-level infrastructure metrics and logs for most Azure services. Azure diagnostic logs are emitted by a resource and provide rich, frequent data about the operation of that resource. Azure Data Factory (ADF) can write diagnostic logs in Azure Monitor.
21-
2220
For more information, see [Azure Monitor overview](../azure-monitor/overview.md).
2321

2422
## Keeping Azure Data Factory metrics and pipeline-run data
@@ -29,11 +27,11 @@ Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you
2927
* **Event Hub**: Stream the logs to Azure Event Hubs. The logs become input to a partner service/custom analytics solution like Power BI.
3028
* **Log Analytics**: Analyze the logs with Log Analytics. The Data Factory integration with Azure Monitor is useful in the following scenarios:
3129
* You want to write complex queries on a rich set of metrics that are published by Data Factory to Monitor. You can create custom alerts on these queries via Monitor.
32-
* You want to monitor across data factories. You can route data from multiple data factories to a single Monitor workspace.
33-
34-
You can also use a storage account or event-hub namespace that isn't in the subscription of the resource that emits logs. The user who configures the setting must have appropriate Azure role-based access control (Azure RBAC) access to both subscriptions.
35-
30+
- You want to monitor across data factories. You can route data from multiple data factories to a single Monitor workspace.
31+
* **Partner Solution:** Diagnostic logs could be sent to Partner solutions through integration. For potential partner integrations, [click to learn more about partner integration.](/azure/partner-solutions/overview)
32+
You can also use a storage account or event-hub namespace that isn't in the subscription of the resource that emits logs. The user who configures the setting must have appropriate Azure role-based access control (Azure RBAC) access to both subscriptions.
3633
## Next steps
3734

3835
- [Azure Data Factory metrics and alerts](monitor-metrics-alerts.md)
3936
- [Monitor and manage pipelines programmatically](monitor-programmatically.md)
37+

0 commit comments

Comments
 (0)