Datadog-Microsoft Azure Logic App Integration

Overview

Logic App allows developers to design workflows that articulate intent via a trigger and series of steps.

Get metrics from Azure Logc App to:

  • Visualize the performance of your Logic App workflows
  • Correlate the performance of your Logic App workflows with your applications

Setup

Installation

If you haven’t already, set up the Microsoft Azure integration first. There are no other installation steps that need to be performed.

Data Collected

Metrics

azure.logic_workflows.action_latency
(gauge)
Latency of completed workflow actions
shown as second
azure.logic_workflows.action_success_latency
(gauge)
Latency of succeeded workflow actions
shown as second
azure.logic_workflows.action_throttled_events
(count)
Number of workflow action throttled events
shown as event
azure.logic_workflows.actions_completed
(count)
Number of workflow actions completed
shown as event
azure.logic_workflows.actions_failed
(count)
Number of workflow actions failed
shown as event
azure.logic_workflows.actions_skipped
(count)
Number of workflow actions skipped
shown as event
azure.logic_workflows.actions_started
(count)
Number of workflow actions started
shown as event
azure.logic_workflows.actions_succeeded
(count)
Number of workflow actions succeeded
shown as event
azure.logic_workflows.billable_action_executions
(count)
Number of workflow action executions getting billed
shown as event
azure.logic_workflows.billable_trigger_executions
(count)
Number of workflow trigger executions getting billed
shown as event
azure.logic_workflows.total_billable_executions
(count)
Number of workflow executions getting billed
shown as event
azure.logic_workflows.run_failure_percentage
(gauge)
Percentage of workflow runs failed
shown as percent
azure.logic_workflows.run_latency
(gauge)
Latency of completed workflow runs
shown as second
azure.logic_workflows.run_success_latency
(gauge)
Latency of succeeded workflow runs
shown as second
azure.logic_workflows.run_throttled_events
(count)
Number of workflow action or trigger throttled events
shown as event
azure.logic_workflows.runs_cancelled
(count)
Number of workflow runs cancelled
shown as event
azure.logic_workflows.runs_completed
(count)
Number of workflow runs completed.
shown as event
azure.logic_workflows.runs_failed
(count)
Number of workflow runs failed
shown as event
azure.logic_workflows.runs_started
(count)
Number of workflow runs started
shown as event
azure.logic_workflows.runs_succeeded
(count)
Number of workflow runs succeeded
shown as event
azure.logic_workflows.trigger_fire_latency
(gauge)
Latency of fired workflow triggers
shown as second
azure.logic_workflows.trigger_latency
(gauge)
Latency of completed workflow triggers
shown as second
azure.logic_workflows.trigger_success_latency
(gauge)
Latency of succeeded workflow triggers
shown as second
azure.logic_workflows.trigger_throttled_events
(count)
Number of workflow trigger throttled events
shown as event
azure.logic_workflows.triggers_completed
(count)
Number of workflow triggers completed
shown as event
azure.logic_workflows.triggers_failed
(count)
Number of workflow triggers failed
shown as event
azure.logic_workflows.triggers_fired
(count)
Number of workflow triggers fired
shown as event
azure.logic_workflows.triggers_skipped
(count)
Number of workflow triggers skipped
shown as event
azure.logic_workflows.triggers_started
(count)
Number of workflow triggers started
shown as event
azure.logic_workflows.triggers_succeeded
(count)
Number of workflow triggers succeeded
shown as event