Stop manually documenting data pipelines, copying file metadata into wikis, and chasing down storage updates. Redbird AI syncs Azure Blob Storage with Confluence so your team's documentation stays current with your data infrastructure automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new containers or blobs are added to Azure Storage, Redbird extracts metadata, file structure, and schema information, then automatically creates or updates Confluence pages documenting your data catalog. Teams always know what data exists and where to find it.
Track data pipeline progress by monitoring blob uploads in staging containers. When files land in specific folders, Redbird updates Confluence pages with timestamps, file counts, and processing status so stakeholders see real-time pipeline progress without checking Azure.
When Azure detects unusual blob activity, failed uploads, or storage threshold breaches, Redbird automatically generates structured incident reports in Confluence with affected containers, timestamps, and file details. Engineering teams document issues as they happen.
Keep Confluence lightweight by moving attachments, PDFs, and large media files to Azure Blob Storage while maintaining links in your documentation. Redbird archives files based on age, size, or page labels, reducing storage costs and improving wiki performance.
Redbird queries Azure Blob Storage for container sizes, file counts, growth trends, and access patterns, then publishes formatted reports to Confluence on schedule. Data teams get automated visibility into storage utilization without manual exports.
When teams update data definitions, ownership, or classification in Confluence pages, Redbird applies those changes back to Azure Blob Storage as metadata tags and custom properties. Your documentation and actual data assets stay synchronized bidirectionally.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage and Confluence 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 Azure Blob Storage container hierarchies, metadata schemas, and access patterns alongside Confluence's page structure, templates, and macro formatting to keep documentation synchronized with your data infrastructure.
Redbird maps Azure container names, blob paths, and custom metadata properties to Confluence page hierarchies and structured content. It understands when a container represents a dataset versus a backup archive, formats metadata as readable tables, and knows which Confluence spaces and page templates match different storage patterns. The AI adapts to your naming conventions and documentation standards without rigid field mapping.
faster than exporting blob metadata to CSV and manually updating Confluence
Redbird can pull from Azure Blob Storage and Confluence 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 Confluence.
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 Confluence, or from Confluence 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 workflows from any blob upload, container change, or Confluence edit across your data and documentation systems.
Trigger when files are added to specific containers or blob path patterns.
Detect new storage containers or changes to container properties and access tiers.
Monitor when custom metadata tags or properties change on existing blobs.
Extract file sizes, upload dates, content types, and custom tags from blobs.
Write custom properties and classification tags to blob storage metadata.
Retrieve container names, blob counts, and hierarchical folder structures.
Trigger when documentation pages are published or edited in specific Confluence spaces.
Detect when pages are tagged with specific labels like 'data-catalog' or 'archive-ready'.
Monitor when files are attached to Confluence pages for archival workflows.
Generate new Confluence pages or update existing ones with structured content and tables.
Insert formatted data tables, status macros, or embedded content into pages.
Archive Confluence attachments to blob storage and replace with external links.
Sync Azure Blob Storage with Confluence automatically. Keep your data documentation current while your team focuses on analysis, not wiki maintenance.