Using Realtime Triggers in Kestra

Kestra's introduction of Realtime Triggers in version 0.17.0 enhances its capability to instantly respond to events without the need for polling, making it particularly beneficial for business-critical workflows that demand millisecond latency reactions. This feature supports various queuing systems, including Apache Kafka, RabbitMQ, and cloud-based services like AWS SQS, allowing seamless orchestration of processes such as fraud detection and order processing. The blog demonstrates a practical application in an e-commerce scenario where Realtime Triggers are used to enrich incoming order events with product details from Cassandra and insert them into MongoDB. The process leverages Kafka for event streaming and includes a Kestra flow with tasks to fetch product data and create detailed order records, showcasing the efficiency of Realtime Triggers in achieving real-time data processing and orchestration.