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Apache Kafka

Apache Kafka is an open-source distributed event streaming platform designed for building real-time data pipelines and streaming applications. It allows systems to publish, store, process, and subscribe to streams of records or events in a fault-tolerant and highly scalable way. Kafka enables real-time data integration and processing by decoupling systems that send data from systems that receive data and ensures durability and order of data. Kafka is commonly used for real-time analytics, log aggregation, and building event-driven architectures.

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Apache Kafka

Benefits and Use Cases

• Trigger jobs and process Kafka messages in real time for event driven job execution.

• Send messages to Kafka topics to trigger downstream processing and consume messages from Kafka topics to trigger jobs in Automic.

• Manage and monitor Kafka-based workflows directly from Automic.

• Configure producer and consumer settings using a standard Kafka properties file.

Example Use Case: Real-Time Order Processing

Automate workflows in response to business events, such as incoming customer orders or transaction updates to process payments, update inventory, or notify fulfilment system.

Automic Features

✓ Publish a message to Apache Kafka Topic

✓ Subscribe for an Apache Kafka Topic message

✓ Monitor on success or failure of Apache Kafka message processing

✓ View execution log for problem diagnosis

✓ Incorporate Apache Kafka processing in existing enterprise automation workflows including dependency enforcement

Additional Information

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