Stream engineering workflow events from Jira directly into Kafka topics in real time. Stop writing custom scripts to bridge project tracking and event-driven architecture—Redbird AI syncs issue updates, status changes, and sprint data to your streaming platform automatically.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Publish every issue creation, transition, and resolution as structured events to dedicated Kafka topics. Engineering teams get instant visibility into workflow state changes across microservices and monitoring dashboards. Perfect for powering real-time analytics on development velocity and bottleneck detection.
Automatically stream sprint burndown metrics, story point completion, and cycle time data to Kafka topics as each sprint progresses. Data engineering teams can consume these events for analytics pipelines without polling Jira APIs. Enables historical trend analysis and predictive modeling on engineering throughput.
Stream Jira issue status changes for deployment tickets directly to Kafka topics that trigger downstream release automation. DevOps teams can orchestrate environment promotions, run integration tests, or notify stakeholders based on issue workflow state. Eliminates webhook complexity and maintains complete event history.
Consume application error events from Kafka topics and automatically generate Jira bugs with full stack traces and context. Engineering teams get instant issue creation when production errors exceed thresholds or critical exceptions occur. Redbird deduplicates similar errors and enriches tickets with metadata from the event payload.
Listen to deployment success events in Kafka topics and automatically transition related Jira issues to 'Done' or 'Deployed' status. Engineering teams maintain accurate ticket state without manual updates after CI/CD pipeline completion. Matches deployment metadata to issue keys and adds deployment timestamps as comments.
Stream every field change, comment addition, and attachment upload from Jira to long-retention Kafka topics for compliance requirements. Regulated teams maintain immutable audit logs of engineering work without overloading Jira's change history. Enable cross-system correlation between code commits, deployments, and issue modifications.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Jira and Kafka 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 Jira's issue schema hierarchy and Kafka's topic partition architecture, automatically mapping workflow states to event streams without custom serialization code.
Redbird interprets Jira's custom fields, issue types, and workflow transitions, then structures them as strongly-typed Kafka events with proper Avro or JSON schemas. The platform handles field mapping between issue properties and message payloads, automatically flattens nested objects, and maintains referential integrity for linked issues. When consuming from Kafka, Redbird validates event schemas and transforms streaming data into valid Jira API requests with proper field types and required values.
faster than building custom Jira-to-Kafka producers with consumer libraries
Redbird can pull from Jira and Kafka 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 Jira or Kafka.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Jira into Kafka, or from Kafka back into Jira. 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 Jira workflow event or Kafka topic message—Redbird handles the translation and delivery.
Fires when a new issue is created in any project or specific issue types like Bug or Story.
Triggers when an issue moves to a new workflow status like In Progress, Code Review, or Done.
Fires when a sprint is closed with final velocity metrics and completion percentage.
Modify custom fields, priority, assignee, or labels on existing issues based on event data.
Append formatted comments with deployment status, error details, or event metadata to tickets.
Move issues through workflow states based on external events like deployment confirmations or test results.
Fires when new messages arrive in specified Kafka topics with optional filter conditions on payload fields.
Triggers when error messages matching specific patterns or thresholds appear in monitoring topics.
Fires when deployment success or failure events arrive with service name and version metadata.
Send structured events to Kafka topics with proper serialization, partitioning keys, and headers.
Publish keyed messages to compacted topics for maintaining latest issue state snapshots.
Send multiple related events as a single batch with transaction guarantees for atomicity.
Start streaming Jira engineering workflows to Kafka topics in minutes. Redbird AI handles schema mapping, event serialization, and bidirectional sync so your team can focus on building event-driven systems instead of maintaining integration code.