Which components constitute a DSP?

A Data Stream Processor (DSP) is designed to manage the flow of data through various stages of processing in a Splunk environment. The components that constitute a DSP typically include input connectors, which are responsible for receiving or ingesting data from various sources; the Data Stream Processor itself, which processes the data in real-time; and output connectors, which send this processed data to destination systems for storage, visualization, or further analysis.

Input connectors play a crucial role as they define how data enters the DSP. The Data Stream Processor employs these connectors to ensure that the incoming data is handled efficiently and routed to the appropriate processing workflows. Finally, output connectors facilitate the transfer of the processed data to Splunk or other systems, completing the data movement lifecycle.

Understanding the role of these key components helps in effectively managing data processing workflows within Splunk, ensuring data integrity and optimal performance throughout the pipeline.