Redbird AI automates the flow between your orchestration layer and cloud storage. Stop writing custom operators, managing GCS hooks, and manually syncing pipeline artifacts. Let AI handle data staging, file monitoring, and bucket operations across your workflows.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When Airflow DAG runs complete successfully, Redbird automatically transfers output files to designated GCS archive buckets and applies lifecycle policies. Eliminates manual cleanup tasks and ensures compliance with data retention requirements without cluttering active storage.
Redbird monitors specified GCS buckets and automatically triggers corresponding Airflow DAGs when new files arrive. No need to poll buckets or configure Cloud Functions—your pipelines start processing immediately when source data is available.
As your Airflow tasks complete each transformation stage, Redbird writes intermediate results to GCS with proper naming conventions and partitioning. Enables checkpoint recovery and makes pipeline debugging easier without custom file management code in every DAG.
When Airflow tasks fail and write error artifacts to GCS, Redbird captures those events and routes notifications with file metadata to your team. Provides immediate visibility into pipeline issues with context from actual failure logs and stack traces.
Redbird captures detailed Airflow execution logs, task durations, and resource utilization metrics, then writes structured summaries to GCS. Creates a historical record for pipeline performance analysis and capacity planning without overloading your Airflow metadata database.
Before DAG execution begins, Redbird retrieves file sizes, row counts, and schema information from GCS objects and injects that context into Airflow XComs. Enables dynamic task configuration and smart pipeline branching based on actual input characteristics.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Google Cloud Storage with OAuth or API credentials. Redbird never stores your data — it just passes through.
Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.
Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.
Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.
Redbird understands Airflow's DAG structure and task dependencies alongside GCS bucket hierarchies, object lifecycle stages, and storage classes—enabling intelligent automation across your entire pipeline infrastructure.
Redbird's AI maps Airflow task outputs to GCS bucket paths, understands XCom patterns and file staging conventions, and recognizes when DAG states should trigger storage operations. It reads GCS object metadata, storage classes, and lifecycle policies to make intelligent decisions about data movement. The system learns your naming conventions, partition schemes, and knows which pipeline artifacts belong in nearline vs coldline storage without hardcoded rules.
faster than building custom GCS operators and file management logic for every DAG
Redbird can pull from Airflow and Google Cloud Storage simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.
Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either Airflow or Google Cloud Storage.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Airflow into Google Cloud Storage, or from Google Cloud Storage back into Airflow. Resolve conflicts with configurable merge rules.
Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.
Start automations from any Airflow DAG event or GCS bucket operation—Redbird connects your orchestration and storage layers in real time.
Fires when an Airflow DAG finishes all tasks without failures.
Triggers when an Airflow task reaches maximum retry attempts and fails.
Activates when a specific task writes data to Airflow's XCom key-value store.
Triggers a new DAG execution with custom configuration from external events.
Programmatically changes task status in Airflow metadata database.
Resets specific task states to allow re-execution without full DAG restart.
Fires when files are written to specified GCS buckets or path prefixes.
Triggers when GCS lifecycle policies move objects between storage tiers.
Activates when storage usage crosses configured size or object count limits.
Writes data objects to GCS with specified metadata and storage class.
Transfers or renames GCS objects based on pipeline stage or retention rules.
Sets retention rules and automatic archival schedules for stored data.
Stop building custom storage operators for every pipeline. Redbird connects Airflow and Google Cloud Storage so your team can focus on data transformations, not infrastructure glue code.