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Airflow DAG Monitoring and Management

Airflow DAG Monitoring and Management is a 12-node automation blueprint connecting Apache Airflow. Inspect its trigger, execution graph, branches, and implementation requirements.

Apache Airflow

Interactive system map

Follow the runtime. Inspect what supports it.

Solid horizontal paths show main-channel execution. Violet dependencies sit beneath the exact step they configure or empower.

12

Nodes

14

Links

1

Run groups

Connected tools

1 integrations

  • Apache Airflow

Canvas controls

Fit wide systems, then zoom into any run group.

Airflow DAG Monitoring and Management execution lanes1 run groups containing 12 workflow nodes and 14 visible links. Solid horizontal lines are main-channel runtime links. Violet dashed lines connect typed dependencies beneath the runtime step they support. Focus any node to inspect its immediate path.in data. trigger node, executeWorkflowTrigger. 0 incoming and 1 outgoing connections.STARTin dataTRIGGEREXECUTEWORKFLOWTRIGGER0 IN / 1 OUTairflow-api. transform node, set. 1 incoming and 1 outgoing connections.STEP 02airflow-apiTRANSFORMSET1 IN / 1 OUTAirflow: dag_run. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 03Airflow: dag_runINTEGRATIONHTTPREQUEST1 IN / 1 OUTif state == queued. decision node, if. 1 incoming and 2 outgoing connections.STEP 04if state == queuedDECISIONIF1 IN / 2 OUTWait. integration node, wait. 2 incoming and 1 outgoing connections.STEP 05WaitINTEGRATIONWAIT2 IN / 1 OUTAirflow: dag_run - state. integration node, httpRequest. 1 incoming and 1 outgoing connections.STEP 06Airflow: dag_run - stateINTEGRATIONHTTPREQUEST1 IN / 1 OUTSwitch: state. decision node, switch. 1 incoming and 4 outgoing connections.STEP 07Switch: stateDECISIONSWITCH1 IN / 4 OUTAirflow: dag_run - get result. integration node, httpRequest. 1 incoming and 0 outgoing connections.STEP 08Airflow: dag_run - get re…INTEGRATIONHTTPREQUEST1 IN / 0 OUTcount. transform node, code. 2 incoming and 1 outgoing connections.STEP 09countTRANSFORMCODE2 IN / 1 OUTdag run fail. integration node, stopAndError. 2 incoming and 0 outgoing connections.STEP 10dag run failINTEGRATIONSTOPANDERROR2 IN / 0 OUTIf count > wait_time. decision node, if. 1 incoming and 2 outgoing connections.STEP 11If count > wait_timeDECISIONIF1 IN / 2 OUTdag run wait too long. integration node, stopAndError. 1 incoming and 0 outgoing connections.OUTCOMEdag run wait too longINTEGRATIONSTOPANDERROR1 IN / 0 OUT

Signal inspector

Focus, hover, or select a step to isolate its runtime and support links.

Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.12 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

Read the execution spine before its dependencies.

Each run group separates main-channel steps from the models, tools, retrievers, and data services that support them. Start and outcome labels apply only to runtime nodes.

01

Run Group

in data

14 Execution Links

  1. Start

    in data

    Trigger

  2. Step 2

    airflow-api

    Transform

  3. Step 3

    Airflow: dag_run

    Integration

  4. Step 4

    if state == queued

    Decision

  5. Step 5

    Wait

    Integration

  6. Step 6

    Airflow: dag_run - state

    Integration

  7. Step 7

    Switch: state

    Decision

  8. Step 8

    Airflow: dag_run - get result

    Integration

  9. Step 9

    count

    Transform

  10. Step 10

    dag run fail

    Integration

  11. Step 11

    If count > wait_time

    Decision

  12. Outcome

    dag run wait too long

    Integration

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