What is primarily examined and tagged in the Heavy Forwarder processing?

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In the context of a Heavy Forwarder in Splunk, the primary focus during processing is on event data. The Heavy Forwarder is designed to parse, index, and forward data to other Splunk instances. When it processes incoming data, it inspects the event data for timestamps, source types, and other relevant attributes. This allows for the appropriate extraction and tagging of the individual events according to the defined data structures.

Event data is crucial because it is the main content that users typically examine in searches, reports, and dashboards within Splunk. By effectively managing event data, the Heavy Forwarder ensures that the information sent to other Splunk components is accurately represented, making it easier for end-users to derive insights from the data.

While other elements such as TCP requests, user credentials, and metadata structures play significant roles in the data pipeline and security, they do not encompass the primary focus during the initial processing stage of a Heavy Forwarder. Instead, these aspects support the integrity and management of the data flow rather than being the primary content being examined and tagged.

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