Splunk® Data Stream Processor

Use the Data Stream Processor

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Performance expectations for sending data from a data pipeline to Splunk Enterprise

This page provides reference information about the performance testing of the Splunk Data Stream Processor performed by Splunk, Inc when sending data to a Splunk index with the Write to the Splunk platform with Batching or the Write to the Splunk platform sink functions. Use this information to optimize your "Splunk Enterprise" pipeline performance.

Many factors affect performance results, including file compression, event size, number of concurrent pipelines, deployment architecture, and hardware. These results represent reference information and do not represent performance in all environments.

To go beyond these general recommendations, contact Splunk Services to work on optimizing performance in your specific environment.

Improve performance

To maximize your performance, consider taking the following actions:

Your Write to the Splunk platform with Batching or Write to the Splunk platform sink functions should have the following additional parameters for performance optimization.

This screen image shows a screenshot of the Write to Splunk Enterprise sink function with the appropriate parameters filled out.

Last modified on 31 August, 2020
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This documentation applies to the following versions of Splunk® Data Stream Processor: 1.1.0


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