Automate the handoff between pipeline orchestration and file delivery. Stop manually uploading pipeline outputs, checking for new data files, or writing custom operators to sync artifacts between your orchestration layer and cloud storage.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically save pipeline results, transformed datasets, and log files to organized Dropbox folders when your Airflow DAGs finish running. Redbird monitors task completion status and uploads outputs with proper naming conventions and folder structures based on pipeline metadata.
Kick off data processing pipelines automatically when external teams or systems drop CSV, JSON, or Parquet files into designated Dropbox locations. Redbird watches specific folders and triggers the appropriate DAG with file metadata as parameters.
Route analytics outputs, dashboard exports, and automated reports from your pipeline runs directly to shared Dropbox folders for business teams. Redbird handles the file transfer on schedule completion and maintains folder organization by date or department.
Automatically capture and upload error logs, stack traces, and failed task outputs to Dropbox when pipeline tasks fail. Data engineers get centralized access to debugging artifacts without SSHing into workers or searching through distributed logs.
Process vendor data drops, partner feeds, and external data sources that arrive via Dropbox shares. Redbird detects new files, validates formats, and feeds them into your Airflow ingestion DAGs with proper metadata tagging.
Maintain automatic backups of your Airflow DAG code, connection configs, and variable definitions in Dropbox with timestamp-based versioning. Redbird captures changes to your orchestration setup and creates organized backup snapshots for recovery and audit purposes.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Airflow and Dropbox 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 both Airflow's orchestration metadata and Dropbox's file structure, so you can build automations around pipeline states, task outputs, and file events without custom code.
Redbird parses Airflow DAG runs, task instances, XComs, and execution dates alongside Dropbox file metadata, paths, and modification events. Map task outputs to folder structures, route files based on pipeline success or failure states, and trigger workflows using both orchestration context and file properties. The AI handles schema differences between DAG metadata formats and file naming conventions automatically.
faster than building custom Airflow operators for Dropbox integration
Redbird can pull from Airflow and Dropbox 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 Dropbox.
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 Dropbox, or from Dropbox 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 pipeline events in Airflow or file changes in Dropbox, then take action across your entire data stack.
Trigger when a specific DAG finishes with success, failure, or any completion state.
Detect when individual tasks within a DAG fail and need attention or artifact capture.
Catch the beginning of pipeline execution to prepare downstream systems or log events.
Programmatically start a DAG run with custom config and runtime parameters.
Modify global variables or connections based on external events or file changes.
Reset task states to enable reruns or handle stuck tasks programmatically.
Detect when new files land in specific Dropbox folders or shared locations.
Catch edits to existing files including version changes and content updates.
Monitor when new folders appear indicating new projects, vendors, or data sources.
Save pipeline outputs, reports, or artifacts to specific Dropbox folders with custom naming.
Generate shareable links for pipeline outputs to distribute to stakeholders.
Organize files into archive folders or stage them for processing based on pipeline results.
Connect Airflow and Dropbox in minutes. Automate pipeline artifact delivery, file-triggered workflows, and data handoffs without writing custom operators or managing file transfer infrastructure.