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The Kafka agents enable you to configure workflows in with improved scalability and fault tolerance. As part of the data collection, data is written to Kafka to secure it from being lost if a failure occurs, and each topic can be set up to be replicated across several servers.
Example of Kafka workflows
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Using Kafka provides the capability to scale as required. One of the many ways to scale a Kafka cluster is when you create your Kafka configuration. It is recommended that when creating your Kafka configuration, you consider how many partitions you may eventually require and add more than you may currently require, as this will make it easier to scale up at a later stage.
Example of Scaling a Kafka Cluster
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