Automate the flow of build artifacts, datasets, and pipeline outputs between your cloud storage and code repositories. Stop manually uploading release assets, backing up repos to blob storage, or syncing data files between development and production environments.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When a new release is published in GitHub, automatically copy all release assets, compiled binaries, and distribution packages to Azure Blob Storage with organized folder structures by version and timestamp. Maintain a permanent archive of every production build without manual uploads or storage management.
Monitor specific Azure Blob Storage containers for new CSV, JSON, or Parquet files, then automatically trigger GitHub Actions workflows to process, validate, or transform the data. Perfect for data engineering teams running ETL pipelines or ML model training jobs from cloud-staged datasets.
Automatically create full repository backups—including code, issues, wikis, and metadata—to Azure Blob Storage whenever critical branches are updated or on a daily schedule. Store compressed archives organized by date with retention policies for compliance and disaster recovery.
When schema files, data dictionaries, or configuration JSONs are updated in Azure Blob Storage, automatically commit them to designated GitHub repositories. Keep data engineering documentation synchronized with your actual data lake structure and enable version control for critical pipeline configurations.
Capture build logs, test coverage reports, performance benchmarks, and CI/CD artifacts from GitHub Actions runs and store them in Azure Blob Storage. Create a centralized analytics repository where data teams can query historical build metrics and identify performance trends over time.
Monitor Azure Blob Storage containers for file validation failures, schema mismatches, or missing expected datasets, then automatically create detailed GitHub issues in your data engineering repositories. Include blob metadata, error logs, and suggested remediation steps to accelerate incident response.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage and GitHub 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 AI understands both Azure Blob Storage container structures and GitHub repository schemas, so you can build automations that intelligently handle binary artifacts, data files, and version control operations without custom code.
Redbird natively parses Azure Blob Storage container hierarchies, metadata tags, access tiers, and content types alongside GitHub repository trees, branch structures, release assets, and Actions workflows. It automatically maps blob paths to repository directories, transforms storage events into GitHub API calls, and handles authentication across both Azure and GitHub without manual configuration. Whether you're archiving artifacts, syncing datasets, or triggering pipelines, Redbird knows how to move data between object storage and version control intelligently.
faster than building custom Azure Functions and GitHub Actions scripts for storage-repo sync
Redbird can pull from Azure Blob Storage and GitHub 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 Azure Blob Storage or GitHub.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Azure Blob Storage into GitHub, or from GitHub back into Azure Blob Storage. 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 blob storage event or GitHub activity, and execute actions across both platforms with full context.
Fires when a new file or object is uploaded to a specified Azure Blob Storage container or path prefix.
Triggers when blob properties, tags, or metadata fields are modified in Azure Blob Storage.
Fires when a new container is created or existing container settings are changed in your storage account.
Write files, artifacts, or data to Azure Blob Storage with custom metadata, access tier, and folder structure.
Transfer blobs across containers or storage accounts with optional transformations and path mapping.
Modify blob properties, custom metadata fields, and index tags for organization and lifecycle management.
Fires when a new release is created in a GitHub repository, including all attached assets and version tags.
Triggers when a pull request is successfully merged into production or other specified branches.
Fires when a CI/CD workflow run finishes, including status, artifacts, and execution metadata.
Commit new files or update existing content in GitHub repositories with custom commit messages and branches.
Manually dispatch workflow runs with custom inputs and parameters via repository dispatch events.
Open new GitHub issues with detailed descriptions, labels, assignees, and linked artifacts or error logs.
Automate the flow between Azure Blob Storage and GitHub in minutes. Stop writing custom scripts to sync artifacts, back up repositories, or trigger pipelines across your cloud storage and development platforms.