![]() While Stream can be deployed via the Deployment server, the actual stream configuration is managed via a different model. If you only have a small handful of stream hosts, it's by far easiest to just install the heavy-weight forwarder and manually configure it but if you're planning to roll out a fleet of Stream sensors throughout your network, you will want to centrally monitor them. Much more detail can be found on Splunk Docs, but this post will cover the high-level steps and requirements. These two roles (Deployment server and Splunk Stream server) may run on the same host, depending on the size and complexity of your configuration. This may consist of hundreds or thousands of Splunk Universal Forwarders running on endpoints throughout your environment, receiving their initial Splunk Stream Technology Add-On (TA) from your central deployment server, and their subsequent Splunk Stream configuration from a central Splunk Stream server. This blog post will focus on the bits needed to deploy, configure and manage Splunk Stream in a distributed environment. This means that you can capture all kinds of useful metadata through Splunk Stream, and even do limited full packet capture! Top data sources for Splunk Stream include DNS and DHCP (both protocols where logging is notoriously weak), but many people use it to capture HTTP transactions, database queries, emails, and more. The software acts as a network traffic "sniffer." The web GUI interface allows you to choose individual metadata fields that are specific to a network protocol and write that metadata to your Splunk indexers for searching. If you wanted to do it on the next layer, you'd have to map sources with lookups because - unfortunately - you have no connection-level metadata so you don't know which UF the event came from.Splunk Stream is great way to monitor network traffic from a host or via a network tap or span port. It's much easier and more convenient to just add a field on each UF. And with possible other values you'd have to maintain huge lookups mapping names or IP addreses to sites. You can't trust the values from the event itself (the sources in the rear world are often misconfigured and trusting that half of your environment is called localhost is a bit foolish )). You want to be able to easily distinguish between the origin of the event (which site it came from). ![]() I know but the downside of index-time evals is that it happens on the HF/indexer, not on the UF and sometimes you want to have metadata to uniquely identify the forwarder (not the source! because single forwarder can be processing many sources).Įxample scenario - you have several sites on which you have single UFs installed on machines receiving logs from the whole site over WEF. Apparently this is an unusual use case! But it is the second time I have managed an environment where something similar was needed. I am dealing with legacy systems, and no search-time extraction can be applied to gather useful data. If you find yourself in this situation, stop. All with hardcoded values, just because splunk wont accept an environmental variable. And they are applied to 10 unique server classes. _meta = machine_class::workstation wec_hostname::HardcodedHostname (Note: Make sure app name precedence is being thought of.
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