Application Insights are critical for monitoring Power Automate flows within essential business operations. It is crucial to be promptly informed about any errors that may occur. This summary discusses how to use the Power Platform Admin Centre and Azure Application Insights for real-time error alerts and flow failure monitoring.
By using Azure Application Insights, which is built on Azure Monitor, users can effectively track application performance and error occurrences. Real-time alerts can be set up using Azure Alerts to notify users of any issues in their applications. To facilitate this, telemetry from Power Automate flows can be exported into Azure Application Insights via Data Export in the Power Platform Admin Centre.
Azure Application Insights offers comprehensive monitoring capabilities built on Azure Monitor. It collects telemetry data that can be crucial for understanding your application's health. For the integration to work, your Dataverse environment must be managed and properly set up to link with Application Insights.
Once configured, it can take up to a day for the telemetry from your automated workflows to be visible in your dashboard. This data is pivotal in gaining insights into the performance and reliability of your automation. By examining the telemetry within the dashboard, you can make informed decisions on where to enhance your automated tasks.
App Insights stores telemetry data in log tables, with a primary focus on the request table for automated workflow actions. You can find custom properties within the logs that help to identify specific workflows. These properties include detailed identifiers that are specific to each automation task involved.
To specifically target workflow-related data, you can filter logs using Kusto language, focusing on properties that identify automated workflows. This step is essential to separate the workflow data from other telemetry that might be collected. You can also refine your search by environment identifiers if needed.
For immediate awareness of any automated workflow failures, you can establish Alert Rules in Azure. These rules can send notifications through multiple channels, such as SMS or email. It’s an effective way to keep stakeholders informed about any critical system downtimes or errors as they occur.
If you'd like to represent this telemetry data visually, Power BI can be a powerful tool. You can export your telemetry data with a Kusto query and then use Power BI to create an M Query. This functionality allows for the creation of detailed and insightful reports on the workflow telemetry.
Last but not least, many professionals, including myself, have a preference for using Azure Logic Apps for crucial operation workflows and system integration. Automation tools are based on Azure Logic Apps, and they allow the creation of Azure-based alerts directly, ensuring a seamless monitoring experience.
Workflow automation tools, like the one commonly known as Power Automate, are invaluable for enhancing efficiency in business applications. By closely monitoring these workflows, organizations can quickly identify and address any operational issues. Keeping a vigilant eye on the health of these automations can greatly benefit business continuity and service reliability. Advanced tools like Azure Application Insights and Power BI enhance this monitoring capability, allowing for more sophisticated tracking and analysis of performance data.
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