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  Following up on my previous post, I explored alternative ways to visualize telemetry emitted by Finance & Operations environments. Azure Data Explorer is a powerful option, but I wanted something more oriented toward dashboards. Azure Managed Grafana integrates well with Application Insights and turned out to be a good fit. Below is a step-by-step breakdown of how I connected Application Insights to Grafana to visualize batch job errors using a custom metric. Prerequisites To follow these steps, make sure you have: An Application Insights instance receiving telemetry from your F&O environment An Azure Managed Grafana workspace in your Azure subscription Sufficient permissions to query logs and create dashboards Step 1: Build the KQL query in Application Insights Start in the Logs blade of your Application Insights resource. The teleme...

While Dynamics 365 Finance and Operations (D365FO) includes native integration with Application Insights , the out-of-the-box capabilities still have limitations—especially when it comes to monitoring the real-time status of internal processes like batch jobs. Although batch job task exceptions are tracked , they don’t always reflect the current status of a batch job. Tasks may have failed and later been retried successfully, meaning the job is actually healthy by the time we query it—yet the historical exceptions remain in telemetry. In this post, I’ll show an alternative technique that extends the telemetry pipeline by programmatically sending custom metrics and structured data to App Insights . We’ll walk through a lightweight batch class that scans for failed batch jobs across all companies and pushes that data into App Insights as both a metric and JSON payload , enabling Kusto-based analysis, dashboards, and alerts. This approach is flexible and can easily be adapte...