For AI agents: A markdown version of this page is available at https://docs.datadoghq.com/serverless/logic_apps/metrics.md. A documentation index is available at /llms.txt.
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This page describes the metrics available for monitoring Azure Logic Apps workflows with Datadog. There are two ways to get metrics from Azure Logic Apps:

Enhanced Azure Logic Apps metrics

Datadog generates enhanced metrics for Azure Logic Apps from your workflow execution data, with detailed metadata for each run and action. Enhanced metrics are distinguished by being in the azure.logic_workflows.enhanced.* namespace.

Enhanced metrics are tagged with the workflow run_id along with the standard Azure Logic Apps tags, including service and env. See Install Serverless Monitoring for Azure Logic Apps for how to configure these tags.

Run-level metrics

The following metrics are emitted once per workflow run.

azure.logic_workflows.enhanced.run_started
Count of workflow runs that have started.
azure.logic_workflows.enhanced.run_succeeded
Count of workflow runs that completed without errors.
azure.logic_workflows.enhanced.run_failed
Count of workflow runs that completed with errors.
azure.logic_workflows.enhanced.run_latency
Distribution of the end-to-end duration of a workflow run, in milliseconds. Supports percentile aggregations and is emitted alongside run_succeeded and run_failed.

Action-level metrics

The following metrics are emitted once per action within a workflow run.

azure.logic_workflows.enhanced.actions_started
Count of workflow actions that have started.
azure.logic_workflows.enhanced.actions_succeeded
Count of workflow actions that completed without errors.
azure.logic_workflows.enhanced.actions_failed
Count of workflow actions that completed with errors.
azure.logic_workflows.enhanced.action_latency
Distribution of the duration of a workflow action, in milliseconds. Supports percentile aggregations and is emitted alongside actions_succeeded and actions_failed.

Further Reading