Common data sources
Your data may come from a number of sources; these can be files, network ports, or scripts. Let's walk through a few common scenarios.
Monitoring logs on servers
In this scenario, servers write their logs to a local drive, and a forwarder process monitors these logs. This is the typical Splunk installation.
The advantages of this approach include:
This process is highly optimized. If the indexers are not overworked, events are usually searchable within a few seconds.
Slowdowns caused by network problems or indexer overload are handled gracefully. The forwarder process will pick up where it left off when the slowdown is resolved.
The agent is light, typically using less than 100 megabytes of RAM and a few percent of one CPU. These values go up with the amount of new data written and the number of files being tracked. See
inputs.confin Chapter 10, Configuring Splunk, for details.Logs without a time zone specified will inherit the time zone of the machine running the forwarder...
