Sync Google Cloud Storage with PostHog to automate event data pipelines, archive analytics exports, and power cross-platform analysis. Stop manually exporting PostHog events to GCS buckets or writing custom scripts to load historical data back into your analytics stack.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically export PostHog raw event streams to Cloud Storage buckets on a schedule. Partition data by date and event type for efficient querying. Maintain a complete historical record while keeping PostHog focused on recent analytics.
Import archived session recording metadata and events from Cloud Storage back into PostHog when investigating specific time periods. Enable teams to analyze user behavior patterns from before PostHog was implemented or after data retention policies kicked in.
Transform server-side logs, batch processing results, or third-party data exports stored in Cloud Storage into PostHog events. Combine backend activity with frontend analytics to build complete user journey funnels across your entire stack.
Automatically export experiment results, feature flag configurations, and variant performance data to Cloud Storage. Create immutable records for compliance, enable cross-team access through GCS, and feed results into BigQuery for deeper statistical analysis.
Export user cohorts, retention data, and behavioral segments from PostHog to Cloud Storage in structured formats. Make PostHog insights available to ML pipelines, Jupyter notebooks, and data teams working in the GCP ecosystem without API rate limits.
Monitor event data quality as files land in Cloud Storage buckets before loading into PostHog. Validate event properties, user identifiers, and timestamps against your PostHog schema. Notify engineering when malformed data threatens analytics integrity.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 Cloud Storage's object structure and bucket organization alongside PostHog's event schemas, user properties, and analytics models — no manual mapping required.
Redbird automatically interprets Cloud Storage bucket hierarchies, file naming conventions, and data formats (JSON, Parquet, CSV). It maps these to PostHog's event structure, including event properties, person properties, group analytics, and session data. When you connect Google Cloud Storage to PostHog, Redbird understands how to transform GCS objects into valid PostHog events and vice versa — handling timestamp formats, user identification, and event property validation without custom code.
faster than Cloud Functions + custom Python scripts for GCS-PostHog pipelines
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into PostHog, or from PostHog back into Google Cloud 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 event in Cloud Storage or PostHog — from new bucket objects to completed experiments.
Trigger when files or data exports land in a specific Cloud Storage bucket or path.
Trigger when object tags, permissions, or custom metadata fields change in GCS.
Trigger on a schedule to process accumulated objects or check for new data files.
Write event exports, analytics reports, or processed data to Cloud Storage buckets.
Move older data to lower-cost GCS storage classes based on age or usage patterns.
Retrieve files from GCS, parse JSON/CSV/Parquet, and extract data for downstream systems.
Trigger when PostHog captures events matching specific properties, users, or event names.
Trigger when A/B tests reach statistical significance or scheduled end dates.
Trigger when users match cohort criteria based on behavior, properties, or actions.
Create PostHog events from GCS data, server logs, or batch processing results.
Enrich PostHog user profiles with data warehouse attributes stored in Cloud Storage.
Programmatically manage feature flags based on data analysis or model outputs from GCS.
Connect Google Cloud Storage and PostHog in minutes. Automate event pipelines, archive analytics data, and sync insights across your GCP and product analytics infrastructure without writing integration code.