Stream development events from GitHub into Kafka topics in real time. Stop manually instrumenting event pipelines or writing custom webhooks to track code changes, deployments, and CI/CD activity across your engineering stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically publish every workflow run, job status, and deployment event to dedicated Kafka topics. Engineering teams can build real-time dashboards and alerting on deployment frequency, failure rates, and pipeline performance without custom instrumentation.
Stream every PR opened, reviewed, approved, and merged into Kafka topics with full metadata. Data teams can analyze review cycles, identify bottlenecks, and track engineering velocity across repositories without polling the GitHub API.
Publish issue creation, assignment, label changes, and closures to Kafka topics in real time. Operations teams can correlate engineering issues with production events, customer tickets, and monitoring alerts in event-driven architectures.
Capture every commit, branch, and tag event from GitHub repositories into Kafka topics. Analytics teams can build real-time contributor metrics, track code churn, and analyze development patterns without batch jobs or API rate limits.
Consume messages from Kafka topics to automatically trigger GitHub Actions pipelines. DevOps teams can orchestrate deployments based on production events, monitoring alerts, or customer activity flowing through their event streaming platform.
Monitor Kafka topics for application errors, system anomalies, or data quality issues and automatically create GitHub issues with full context. Engineering teams can track production problems in their existing workflow without manual ticket creation.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize GitHub 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 GitHub's webhook payloads, REST API schemas, and Actions metadata alongside Kafka's topic structure, partition keys, and message formats to automate event streaming without custom code.
Redbird automatically maps GitHub event payloads—from workflow runs and pull request reviews to issue comments and release events—into properly structured Kafka messages with appropriate partition keys and serialization. The AI handles schema evolution when GitHub adds new fields, manages topic configuration for different event types, and ensures idempotent delivery. Transform nested webhook JSON into flattened Kafka schemas or route different event types to separate topics based on repository, organization, or event metadata.
faster than building custom GitHub webhook consumers and Kafka producers
Redbird can pull from GitHub 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 GitHub 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 GitHub into Kafka, or from Kafka back into GitHub. 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 GitHub event or Kafka message and take action across your entire development and data infrastructure.
Trigger when PRs are created, approved, commented on, or merged across repositories.
Trigger on workflow success, failure, or cancellation with full job and step details.
Trigger when issues are opened, labeled, assigned, or resolved with metadata.
Programmatically create issues with labels, assignees, and milestone tracking.
Dispatch workflow runs with custom inputs and event payloads.
Update commit statuses and create check runs for external CI/CD integration.
Trigger on messages published to specific topics with partition and offset tracking.
Trigger when Kafka messages match specific field values, patterns, or conditions.
Trigger when consumer group lag reaches specified limits across partitions.
Send structured messages to topics with custom partition keys and headers.
Programmatically manage topic configuration, partitions, and retention policies.
Manage consumer group offsets for exactly-once processing semantics.
Sync GitHub with Kafka and stream development events into your real-time data pipelines. Redbird AI handles the webhooks, serialization, and partition routing automatically.