Overview
The Kafka integration empowers Genesis applications to seamlessly publish and subscribe to Apache Kafka’s real-time data streams. By standardizing real-time data integration, it ensures a consistent and efficient approach to leveraging Kafka within Genesis applications.
Features & Capabilities
Real-Time Data Streaming: Enables continuous ingestion of external data via Kafka.
Schema-Based Data Processing: Supports Avro schemas for structured data ingestion.
Efficient Message Handling: Configurable consumer groups ensure optimal message consumption and distribution.
Guaranteed Data Delivery: Uses Kafka’s replication features for fault tolerance and resilience.
Seamless Integration: Connects Kafka data streams with Genesis applications for real-time processing.
Consuming from Kafka topics
The integration runs in the background and subscribes to a Kafka topic. Whenever new records are detected on the topic, it retrieves them for processing as required, which involves transformation and writing to the database.
Publishing to Kafka topics
The integration responds to an event, such as a record being written to the database, and publishes this data to the specified Kafka topic.
Technical Highlights:
- Apache Kafka Integration: Uses Kafka brokers and topics to manage data streams.
- Schema Registry Support: Ensures proper data structure and validation using Avro.
- Scalable Consumer Architecture: Allows multiple consumers to process messages in parallel.
- Low Latency Processing: Optimized for fast data ingestion and minimal lag.
