Orchestration Monitoring

DAGs, workflows, and scheduled jobs — the layer that decides when your ETL actually runs
Workflows

164

+9
Runs (24h)

3,428

+184
Failed runs

27

+6
Queued > SLA

4

waiting on slots

Orchestration platforms

Apache Airflow · AWS Step Functions · Dagster · Prefect · Azure Data Factory · Control-M

PlatformWorkflowsRuns (24h)FailuresLast runStatus
Apache Airflow

MWAA · us-east-1

821,904112m agoHealthy
AWS Step Functions

state machines

3884231m agoHealthy
Dagster

cloud

2131827m agoHealthy
Prefect

prefect cloud

1422194m agoDegraded
Azure Data Factory

ADF pipelines

7118222m agoHealthy
Control-M

on-prem scheduler

22501h agoHealthy

No matching results

Recent workflow runs

Newest first. A failed run raises an event into the same alert pipeline as API, ETL, and database signals.

WorkflowPlatformStartedDurationTasksStatus
nightly_customer_load

run 20260820T0100

Airflow01:00 UTC42m18 / 18Succeeded
ledger_reconcile

run 20260820T0130

Airflow01:30 UTC9m4 / 7Failed
order-export-sfn

exec 9f2a…

Step Functions02:00 UTC6m9 / 9Succeeded
marketing_attribution

run 20260820T0200

Dagster02:00 UTC1h 12m11 / 12Retrying
inventory_sync

flow-run 4c81…

Prefect02:15 UTC18m6 / 6Succeeded
pricing_refresh

flow-run 4c82…

Prefect02:30 UTC3m1 / 5Failed
dbt_daily_models

run 20260820T0300

Airflow03:00 UTC0 / 24Queued
crm_ingest

pipeline 118

Data Factory03:10 UTC11m5 / 5Succeeded

No matching results

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