Automate cross-cloud storage workflows between AWS and GCP without writing transfer scripts or managing sync jobs. Redbird AI handles bucket-to-bucket transfers, multi-cloud backups, and data replication so your team can stop babysitting data movement between cloud providers.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new processed datasets land in S3 from your AWS pipelines, automatically transfer them to Google Cloud Storage buckets configured for BigQuery external tables. Redbird handles format validation and ensures data arrives ready for analytics without manual export-import cycles.
Sync trained models and artifacts from GCS to S3 whenever your ML teams update production-ready models. Redbird automatically transfers model files, metadata, and versioning information so your AWS-based inference services always have the latest builds without manual deployment steps.
Establish resilient multi-cloud backups by automatically replicating critical S3 datasets to Google Cloud Storage Archive tiers. Redbird monitors specified S3 buckets and maintains synchronized copies in GCS with appropriate lifecycle policies, eliminating vendor lock-in risk.
Automatically aggregate data from multiple regional GCS buckets into a unified S3 data lake. When files appear in distributed GCS locations across projects, Redbird transfers and organizes them into your S3 bucket structure with consistent naming and partitioning for centralized analytics.
Move analytics results and feature engineering outputs from S3 to specific GCS buckets that feed Vertex AI workflows. Redbird ensures data formatting matches GCP expectations and triggers downstream processing automatically when transfers complete.
Monitor ongoing S3-to-GCS or GCS-to-S3 transfers and immediately notify teams when expected files don't arrive, checksums fail, or sync operations encounter errors. Redbird tracks transfer metrics and validates data integrity across both cloud storage systems without custom monitoring scripts.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 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 S3 bucket structures, object metadata, and storage classes alongside GCS bucket hierarchies, object lifecycle states, and IAM patterns to orchestrate seamless cross-cloud workflows.
Redbird interprets S3 object keys, prefixes, tags, and storage tiers while simultaneously understanding GCS bucket namespaces, object generations, and lifecycle rules. The AI maps equivalent storage classes between providers, handles metadata translation for compatibility, and automatically adjusts transfer strategies based on file sizes and types. You describe what should move between clouds — Redbird figures out the optimal transfer path and handles authentication across both platforms.
faster than building custom cross-cloud transfer scripts with AWS SDK and GCP client libraries
Redbird can pull from Amazon S3 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 Amazon S3 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 Amazon S3 into Google Cloud Storage, or from Google Cloud Storage back into Amazon S3. 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 workflows from any S3 bucket event or GCS object change and automate actions across both cloud storage platforms.
Trigger when files are uploaded to specific S3 buckets or prefixes.
Detect when objects are removed from monitored S3 locations.
Monitor when S3 objects move between storage tiers via lifecycle policies.
Transfer files from GCS or other sources into specified S3 buckets with metadata.
Modify S3 object tags, content-type, or custom metadata fields programmatically.
Change S3 object storage tier between Standard, Infrequent Access, Glacier, or Deep Archive.
Trigger workflows when files land in GCS buckets or specific folder paths.
Detect when multipart or resumable uploads complete in Google Cloud Storage.
Monitor when GCS objects are removed or transitioned to Archive storage class.
Write files from S3 or other systems to GCS buckets with appropriate metadata and permissions.
Modify GCS object custom metadata, content type, or cache control headers.
Move GCS objects between Standard, Nearline, Coldline, or Archive storage tiers.
Stop managing cross-cloud storage transfers manually. Connect Amazon S3 and Google Cloud Storage with Redbird AI and automate multi-cloud data movement in minutes, not days.