Redbird AI automates the flow between your data lake and engineering workflows. Stop manually creating tickets when pipelines fail, hunting for log files in S3 buckets, or copying deployment artifact URLs into issue comments.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Monitor specific S3 buckets for error logs or failed pipeline outputs. Automatically create Jira issues with failure details, attach relevant log files, and assign to the right team based on pipeline stage or error type.
When new build artifacts land in S3, automatically attach their URLs and metadata to corresponding Jira release issues. Engineers get instant access to deployment packages without hunting through buckets or deployment logs.
Parse test output files stored in S3 and post formatted summaries as Jira comments on the related stories or epics. Include coverage percentages, failure counts, and direct links to full reports in S3.
When sprints close in Jira, automatically export all issue attachments, release notes, and documentation to organized S3 folders. Maintain a searchable archive of sprint deliverables without bloating Jira storage.
Aggregate completed issues, deployment metrics, and bug counts from Jira releases. Generate structured JSON or CSV reports and write them to S3 for downstream analytics, compliance audits, or executive dashboards.
Monitor S3 for data quality check outputs from dbt, Great Expectations, or custom validation scripts. When anomalies are detected, automatically create prioritized Jira tickets for data engineering teams with issue details and affected datasets.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Amazon S3 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 understands S3 bucket structures, object metadata, and event patterns alongside Jira's issue hierarchies, custom fields, and project workflows.
Redbird's AI interprets S3 object keys, prefixes, and tags to understand your data organization patterns. It maps bucket events to Jira issue types, parses log files and artifacts to extract relevant metadata, and knows how to structure attachments and comments engineers actually need. Whether you're tracking pipeline artifacts by environment, organizing logs by service, or archiving sprint deliverables by release version, Redbird handles the schema translation automatically.
faster than scripting Lambda functions to sync S3 events with Jira tickets
Redbird can pull from Amazon S3 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 Amazon S3 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 Amazon S3 into Jira, or from Jira 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 automations from any S3 event or Jira issue change, then take action across both systems.
Trigger when files are added to specific S3 buckets or prefix paths.
Detect when object tags, storage class, or metadata fields change.
Monitor for files matching specific naming patterns or file extensions.
Write new objects to S3 with custom metadata and tags.
Duplicate or move objects across buckets or prefixes.
Modify storage class, tags, or custom metadata fields on existing objects.
Trigger on new issues or when fields like status, priority, or assignee change.
Detect sprint lifecycle events for reporting or archival workflows.
Monitor when releases are marked as shipped or deployed.
Generate new tickets with descriptions, labels, and linked S3 files.
Post formatted comments containing S3 URLs and metadata to existing issues.
Modify assignee, priority, custom fields, or transition issues through workflows.
Stop manually bridging your data lake and engineering workflows. Redbird AI connects Amazon S3 and Jira so your pipelines, artifacts, and issue tracking work as one system.