Stream event data from Kafka directly into PostHog for real-time product analytics. Stop building and maintaining custom ETL pipelines, manually mapping event schemas, or writing transformation scripts to sync behavioral data between your streaming platform and analytics tool.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically consume events from designated Kafka topics and send them to PostHog with proper event formatting and user identification. Redbird handles schema mapping, batching, and retry logic so your product analytics stay current without custom consumer code.
Pull user attributes, cohort memberships, and feature flag states from PostHog and append them to raw clickstream events in Kafka. Create enriched event streams that combine behavioral data with product context for downstream analytics and ML pipelines.
Monitor Kafka topics for specific event sequences or threshold conditions and automatically update PostHog feature flags. Enable dynamic feature rollouts based on real-time system behavior, user activity spikes, or operational metrics flowing through your event streams.
Export session recording events, metadata, and insights from PostHog into Kafka topics for durable storage and downstream processing. Build compliance workflows, feed data lakes, or power custom retention analysis without relying solely on PostHog's storage.
Monitor consumer group lag and processing delays in your Kafka-to-PostHog pipeline. Automatically notify engineering teams via PostHog annotations or external channels when event delivery falls behind, ensuring analytics accuracy and timely insights.
Query both Kafka topics for raw event volumes and PostHog for conversion metrics, then compile automated reports comparing stream health with user behavior trends. Surface discrepancies, identify data quality issues, and track end-to-end analytics pipeline performance.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Kafka and PostHog 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 both Kafka's event streaming architecture and PostHog's product analytics data model, so you can connect real-time data pipelines to behavioral insights without custom integration code.
Redbird automatically maps Avro, JSON, and Protobuf schemas from Kafka topics to PostHog's event format with proper user identification, properties, and timestamps. The AI understands consumer groups, partition strategies, offset management, and PostHog's distinct_id requirements. It handles schema evolution, type conversions, and nested property flattening so events flow cleanly into funnels, cohorts, and session recordings without transformation scripts.
faster than building custom Kafka consumers and PostHog ingestion logic
Redbird can pull from Kafka and PostHog 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 Kafka or PostHog.
SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.
Push data from Kafka into PostHog, or from PostHog back into Kafka. 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 event in Kafka or PostHog and take action across your entire data stack.
Fires when a new event arrives in a specified Kafka topic or partition.
Triggers when consumer group lag surpasses a defined threshold for monitoring pipelines.
Fires when a new schema version is registered or updated in the schema registry.
Write new events or enriched data to a specified Kafka topic with proper serialization.
Provision a new Kafka topic with specified partitions, replication factor, and configurations.
Reset or adjust consumer group offsets for replay, skip, or recovery scenarios.
Fires when a specific event type is captured in PostHog with matching properties or user attributes.
Triggers when a user meets criteria to join a defined behavioral or demographic cohort.
Fires when a feature flag is toggled on, off, or updated for users or groups.
Add new user profiles or update existing person properties and metadata in PostHog.
Track product events programmatically with custom properties, timestamps, and user identification.
Enable, disable, or modify feature flag states and rollout percentages based on external conditions.
Sync Kafka event streams with PostHog product analytics automatically. Stop writing custom consumers and transformation code—let Redbird handle your real-time data pipeline.