Quick start: Process and route data using Edge Processors
This quick start is for users who are learning how to use the Edge Processor solution. Complete the following steps to create a basic Edge Processor and pipeline setup that receives data from a forwarder, processes the data as needed, and then sends the processed data to an index or an Amazon S3 bucket.
Note: Ensure that your
default_telemetry_indexer destination is configured to send usage logs and metrics data to the indexing tier of your Splunk Enterprise deployment prior to using your Edge Processor. See Add or manage destinations for more information on configuring destinations
| Number | Task | Documentation |
|---|---|---|
| 1 | Verify that your host meets the system and network requirements. | Installation requirements for Edge Processors |
| 2 | Set up Edge Processors. | Set up an Edge Processor |
| 3 | (Optional) Configure event breaking and merging for the incoming data that you want your pipelines to process by syncing your Splunk Enterprise source types to be used with your Edge Processor. | Sync source types for Edge Processors |
| 4 | (Optional) Add a destination. You can skip this step if you want to send data to your Splunk Enterprise deployment. | Add or manage destinations |
| 5 | Create pipelines to process data. | Create pipelines for Edge Processors |
| 6 | Get data into an Edge Processor using forwarders. | Get data from a forwarder into an Edge Processor |