Redbird AI automatically syncs data artifacts, deployment files, and pipeline outputs from Azure Blob Storage into Jira issues and sprint workflows. Stop manually attaching files, tracking build artifacts across systems, or copying release notes between storage and project management.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
When new build artifacts land in designated Azure Blob Storage containers, automatically attach them to corresponding Jira release tickets. Engineering teams always have the latest deployment packages linked directly to their sprint work without manual file management.
Monitor Azure Blob Storage for new error logs or failed pipeline outputs and instantly create priority Jira tickets assigned to the right data engineering team. Include log file metadata and direct links so teams can triage issues immediately without switching contexts.
When sprints close or releases ship in Jira, automatically collect all attached documentation, test results, and deliverables and archive them to Azure Blob Storage with proper naming conventions. Maintain audit trails and compliance records without manual export workflows.
Track machine learning model training runs by monitoring Azure Blob Storage for completed output files, then automatically transition linked Jira tickets through workflow states. Data science teams get real-time project updates as training jobs finish without checking storage manually.
When test result files are written to Azure Blob Storage, automatically parse data, generate summary reports, and attach them to the corresponding QA issues in Jira. Testing teams get formatted insights directly in their workflow instead of downloading and analyzing raw files.
As designers and engineers attach specifications, wireframes, or technical documentation to Jira issues, automatically sync those files to organized Azure Blob Storage paths for long-term retention and pipeline consumption. Keep central storage in sync with project management without duplicate uploads.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Azure Blob Storage and Jira 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 Jira project schemas, so it can intelligently route files, parse metadata, and update issues based on your actual workflows.
Redbird automatically maps Azure Blob Storage container hierarchies, blob metadata tags, and file naming patterns to Jira project keys, issue types, custom fields, and sprint structures. The AI recognizes common patterns like build numbers in filenames, error severity in log paths, and release versions in container names, then updates the right Jira fields accordingly. No manual field mapping or brittle regex rules — just describe what should happen when files arrive or tickets change.
faster than building custom Azure Functions to sync storage events with Jira webhooks
Redbird can pull from Azure Blob Storage and Jira 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 Jira.
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 Jira, or from Jira 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 storage event in Azure Blob or any issue change in Jira, then take action across both systems.
Fires when any new file is written to a specified Azure Blob Storage container or path prefix.
Triggers when blob properties or custom metadata tags change on existing storage objects.
Monitors container storage usage and triggers when total size crosses defined limits.
Write new files or data to specified Azure Blob Storage containers with custom metadata.
Modify custom metadata properties on existing blobs based on workflow events.
Move blobs to archive or cool storage tiers based on age or project completion status.
Fires when new Jira issues are created or when any field changes on existing tickets.
Triggers when sprints complete or versions are marked as released in Jira.
Monitors when files are attached to Jira issues by team members.
Generate new Jira issues with files from storage automatically attached.
Modify specific Jira custom fields based on storage events or file metadata.
Move Jira tickets to different statuses when corresponding storage conditions are met.
Stop manually syncing build artifacts and data files between Azure Blob Storage and Jira. Let Redbird AI handle the routing, attachments, and updates so your engineering team can focus on shipping.