Connect GitHub and
Google Cloud Storage with AI

Redbird AI syncs your code artifacts, releases, and repository data between GitHub and Google Cloud Storage automatically. Stop manually uploading release builds, backing up repository snapshots, or exporting workflow logs — let AI handle the storage pipeline for your development artifacts.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Archive GitHub release artifacts to GCS on every production deploy

Automatically upload release binaries, build artifacts, and distribution packages to Google Cloud Storage whenever a new GitHub release is published. Keep a permanent, versioned record of every production build in your data lake without manual intervention.

Back up repository snapshots to GCS on schedule or code changes

Create full repository snapshots and store them in Google Cloud Storage on a scheduled basis or triggered by significant code changes. Maintain disaster recovery backups and compliance archives of your entire codebase with automated retention policies.

Export GitHub Actions workflow logs and artifacts to GCS buckets

Stream CI/CD pipeline logs, test results, and build artifacts from GitHub Actions into Google Cloud Storage for long-term analysis. Feed historical pipeline data into BigQuery for engineering metrics and performance tracking without storage limits.

Sync pull request analytics and code review data to GCS data lake

Extract structured data from GitHub pull requests — review comments, approval times, change volumes — and store it in Google Cloud Storage. Build a complete engineering analytics dataset that integrates with your existing GCP data warehouse and BI tools.

Load machine learning training datasets from GCS into GitHub repositories

Automatically pull ML training data, model weights, or large datasets from Google Cloud Storage and commit them to specific GitHub repository paths. Keep model artifacts version-controlled alongside code without bloating your git history with large file storage.

Trigger GitHub deployments when configuration files change in GCS buckets

Monitor Google Cloud Storage buckets for configuration file updates, then automatically trigger GitHub Actions workflows or create pull requests with the new configs. Bridge infrastructure-as-code stored in GCS with GitHub-based deployment pipelines seamlessly.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize GitHub and Google Cloud Storage with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands GitHub's repository structure, release workflows, and Actions artifacts alongside Google Cloud Storage's bucket organization, object metadata, and lifecycle policies.

AI that speaks GitHub webhooks and GCS object schemas

Redbird natively maps GitHub repository events, release assets, workflow artifacts, and issue metadata to Google Cloud Storage objects with proper naming conventions and bucket hierarchies. The platform understands GitHub API pagination, handles binary artifact streaming, and structures GCS paths to match your data lake standards. It automatically parses GitHub webhook payloads, extracts relevant commit metadata, and transforms repository activity into queryable storage formats — no custom scripts or Lambda functions required.

Repository event mapping
Artifact streaming
Bucket path structuring
Metadata transformation
10×

faster than building custom GitHub webhooks and GCS upload scripts

No Cloud Functions, API authentication management, or error handling middleware to maintain

Auto-generated reports

Redbird can pull from GitHub and Google Cloud Storage simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either GitHub or Google Cloud Storage.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from GitHub into Google Cloud Storage, or from Google Cloud Storage back into GitHub. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start from any event in GitHub or Google Cloud Storage — Redbird orchestrates the complete workflow across both platforms.

GitHub
Triggers & Actions
Trigger

Release published

Trigger when a new GitHub release is created or published to the repository.

Trigger

Workflow run completed

Trigger when a GitHub Actions workflow finishes execution with success or failure status.

Trigger

Pull request merged

Trigger when a pull request is merged into a specified branch like main or production.

Action

Create repository issue

Open a new issue in a GitHub repository with title, body, labels, and assignees.

Action

Trigger workflow dispatch

Manually trigger a GitHub Actions workflow with custom input parameters.

Action

Update repository file

Commit changes to a specific file in a GitHub repository via the API.

Google Cloud Storage
Triggers & Actions
Trigger

Object created in bucket

Trigger when a new object or file is uploaded to a specified Google Cloud Storage bucket.

Trigger

Object metadata updated

Trigger when object metadata, custom attributes, or storage class changes in GCS.

Trigger

Bucket lifecycle policy applied

Trigger when a lifecycle policy archives, deletes, or transitions objects between storage tiers.

Action

Upload object to bucket

Write a file or data object to Google Cloud Storage with specified path and metadata.

Action

Copy object between buckets

Copy an existing GCS object from one bucket location to another with metadata preservation.

Action

Update object metadata

Modify custom metadata, content type, or cache control settings on an existing GCS object.

GitHub
+
Google Cloud Storage

Ready to connect your stack?

Connect GitHub to Google Cloud Storage in minutes and automate your code artifact pipeline. Redbird handles the entire workflow from repository events to cloud storage without custom infrastructure.

Get started → Book a demo