This page documents production updates to Orchestration Pipelines. Check this page for announcements about new or updated features, bug fixes, known issues, and deprecated functionality.
You can see the latest product updates for all of Google Cloud on the Google Cloud page, browse and filter all release notes in the Google Cloud console, or programmatically access release notes in BigQuery.
August 28, 2026
Orchestration Pipelines are now generally available (GA).
August 24, 2026
Release of orchestration-pipelines package version v1.0.0.
In the Google Cloud console, the Orchestration Pipelines tab now displays pipeline statuses and execution history for the runner environment.
Added observability metrics:
- Observability metrics for pipeline runs via DAG callbacks (success/failure counters).
- Observability metrics for action execution using a custom operator.
- Observability metrics for internal pipeline metadata population.
Placeholder DAG indicating parsing errors now fails by default with an
AirflowFailException showing the parsing error message.
Actions running on Dataproc Ephemeral Cluster as engine are now properly marked as success/failed based on the job status, abstracting the cleanup step result.
August 18, 2026
Release of orchestration-pipelines package version v0.4.1.
Serialization compatibility with Airflow 3.2+.
August 12, 2026
Release of orchestration-pipelines package version v0.4.0.
Added support for .yaml extension for pipeline definition files in addition to .yml.
Added doc_md documentation generation for unversioned pipeline workflows.
Source pipeline definition file path is now included in DAG doc_md metadata.
Added support for Agent Platform upload model in AIAction.
Added support for triggering batch inference on Agent Platform in AIAction.
Emiting metrics with respect to count and duration of parsing pipeline.
Migrated local Dataform file staging command from gsutil to gcloud storage.
Added detection of circular dependencies between actions during pipeline validation.
Fixed path resolution in FileManager for non-versioned pipelines.
Fixed dag_id verification check in globals().
July 08, 2026
Release of orchestration-pipelines package version v0.3.0.
Params support for SQL, Pyspark and Notebook actions.
Params support for DBT pipeline and Dataform pipeline local (on Airflow) executions.
Support for custom labels in Dataproc, SQL, and Dataform local execution.
Inline requirements support for Notebook/PySpark run on Dataproc.
Support for trigger rules in all actions.
New action supporting triggering another orchestration pipeline.
Replaced runtime_params from BigQuery DTS action with two specific fields:
requested_run_time and requested_time_range.
Improved error messages for datetime/cron/duration/timezone validation.
Adjusted examples to comply with validation rules.
May 15, 2026
Release of orchestration-pipelines package version v0.2.0.
Added an action for triggering existing BigQuery DTS configuration.