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Deploying and operating the Stream service

Updated on July 5, 2022

The Stream service enables asynchronous flow of data between processes in Pega Platform. The Stream service is a multinode component that is based on Apache Kafka.

You can use this service, for example, to pass correspondence data to delivery channels in Pega Customer Decision Hub, process customer responses for the Adaptive Decision Manager (ADM), or initiate background processes in any Pega application.

The Stream service ingests, routes, and delivers high volumes of low-latency data such as web clicks, transactions, sensor data, work objects, data pages, and customer interaction history. As a resiliency mechanism for operations, the same data is replicated to other nodes in the cluster.

The Stream service is built on the Apache Kafka platform. To better understand Kafka-related terminology, see the Apache Kafka documentation.


Starting in version 8.7, the use of an internal Kafka is deprecated. On-premises systems that have been updated from earlier versions of Pega Platform can continue to use Kafka in embedded mode. However, to ensure future compatibility, do not create any new environments using embedded Kafka. When configuring the Stream service in a new environment, use external Kafka.

To successfully deploy and operate the Stream service, follow the guidelines provided in these topics:

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