Automate the flow between your GCP data lake and real-time event streams. Stop manually writing connectors, managing offset commits, and orchestrating file-to-stream pipelines. Redbird AI syncs Google Cloud Storage buckets with Kafka topics—no custom code required.
Redbird gives your team ready-to-run workflows — just connect your accounts and go.
Automatically publish Kafka messages when files land in Cloud Storage buckets. Each new object triggers an event with metadata and optional content, enabling downstream consumers to process data immediately. Perfect for triggering analytics jobs, microservices, or machine learning pipelines the moment data arrives.
Continuously sink Kafka messages to Cloud Storage with intelligent bucketing by date, topic, or custom fields. Messages are batched, compressed, and written as Parquet or JSON for efficient querying in BigQuery. Replaces manual consumer scripts and ensures complete event history retention.
Load archived files from Cloud Storage back into Kafka topics on demand. Enables reprocessing of historical events after schema changes, ML model updates, or data corrections. Redbird handles pagination, ordering, and rate limiting to prevent topic overload.
Augment streaming messages with lookup tables, ML models, or configuration files stored in Cloud Storage. Each Kafka event triggers a fetch from GCS, merges the enrichment data, and publishes the enhanced message to a target topic. Keeps your streams context-aware without hardcoding static data.
Monitor expected file arrival schedules in Cloud Storage and cross-reference with Kafka topic lag metrics. When files don't appear or topics fall behind, Redbird sends alerts with diagnostic context. Catches silent failures in your data pipelines before they cascade.
Write aggregated, filtered, or transformed Kafka stream results directly to Cloud Storage in BigQuery-optimized formats. Automates the last mile of stream processing, making real-time insights queryable in your data warehouse. Handles partitioning, schema evolution, and duplicate detection.
No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.
Authorize Google Cloud Storage 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 GCS bucket structures, object metadata, and lifecycle policies alongside Kafka topic schemas, partition strategies, and consumer group offsets—so your data flows correctly in both directions.
Redbird automatically detects file formats in Cloud Storage (JSON, Parquet, Avro, CSV) and maps them to Kafka message schemas—including nested fields, arrays, and complex types. It understands bucket naming conventions, object prefixes, and partition paths, then intelligently routes data to the right topics with proper serialization. When schemas evolve, Redbird adapts mappings without breaking pipelines. No need to manually define connectors or write deserialization logic.
faster than building custom Kafka Connect configurations and GCS sink connectors
Redbird can pull from Google Cloud Storage 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 Google Cloud Storage 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 Google Cloud Storage into Kafka, or from Kafka 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 Cloud Storage bucket event or Kafka topic activity—Redbird monitors both systems and orchestrates the workflows you need.
Fires when a file is uploaded to a specified Cloud Storage bucket or prefix path.
Triggers when object attributes, labels, or custom metadata fields change in GCS.
Activates when GCS moves objects to Nearline/Coldline storage or deletes them based on lifecycle rules.
Write data to a Cloud Storage bucket with specified path, format, and compression settings.
Fetch and parse file data from GCS in JSON, CSV, Parquet, or Avro format.
Modify custom metadata, content type, or labels on existing GCS objects programmatically.
Fires when a message arrives in a specified Kafka topic, with optional filtering by key or headers.
Activates when a consumer group falls behind by a specified number of messages or time window.
Triggers when Kafka topic partitions are added or rebalanced, indicating scaling events.
Publish a message to a Kafka topic with custom key, value, headers, and partition assignment.
Send multiple messages to Kafka in a single operation with automatic retry and ordering guarantees.
Manually commit offset positions for a consumer group to control message replay and checkpointing.
Sync Google Cloud Storage and Kafka in minutes, not weeks. Redbird AI handles the complexity of streaming data between your GCP data lake and event platform—so your team can focus on building, not plumbing.