![]() So the last stanza to match was of course “Everything Else”, therefore all data was sent to /dev/null. The way Splunk works is it processes incoming data against the nf file linearly, one stanza at a time. ![]() I tested this by sending in the access log from a web server, and that data was not indexed, WOOT! But my data was not indexed either, OOPS!. Then the FORMAT keyword, we set to either ‘indexQueue’ (send it to the indexer) or ‘nullQueue’ (ignore it). Notice the DEST_KEY, this tells Splunk we want to deal with data going into the ‘queue’, data that is to be processed/indexed. To ignore data, you must send the data to /dev/null, which Splunk calls ‘nullQueue’. By default, Splunk will index data, but in my case, you can tell it to ignore the data. Here you can tell Splunk how to manipulate (or transform) any data. Now for the second step of ignoring the data. ![]() # Everything Else - the source is a catch all # My Data - regular expression to match my data The second stanza matches any other data and transforms it by ‘setdevnull’. The first stanza defined my data, and if a match occurred the data would be transformed by ‘setparsing’. Using the keyword ‘transform’ within the matching stanza, I could accomplish this. Once this was accomplished, I had to tell Splunk what to do with the data. Within this file I added a ‘stanza’ (or rule) identifying the source of the data. To accomplish step one, which data, I updated the nf file. First you need to tell Splunk which data your interested in, and then you need to tell Splunk what to do with the data. Ignoring the incoming data is a two-step process. The solution is not truly blocking data, but ignoring incoming data. Splunk does provide a mechanism for blocking incoming data, but the documentation is not straightforward in explaining how to achieve this, think: “ This thing reads like stereo instructions” (youtube). As I didn’t want to chance hitting the 500 MB limit I decided to block anyone from “accidentally” placing data into it. The Situationĭue to unforeseen circumstances, I needed to keep this development instance running longer than expected. I built my reports, dashboards, alerts, etc., with no impact on the production systems. See the downloads page here for more information. As I did not want to impact the production Splunk system, I spun up a test instance on a QA box.įor those that do not know, Splunk allows you to use the software for free, as long as the amount of data being indexed (flowing in) is less than 500 MB per day. You can customize it to search a variety of data formats, and using the results you can accomplish many tasks, from producing pie chart reports to generating email alerts.ĭuring a recent project I had the task of building a reporting dashboard reflecting server status. which leads me to believe that it is my nf that has some kind of error.Splunkis a very robust tool for digging into data. So what Splunk is doing is putting all three syslogs into the temp_syslog and is ignoring the transforms. TRANSFORMS-set3= changesourcetypetoactivity TRANSFORMS-set1= changesourcetypetosystem I have the syslogs going to a temp sourcetype then I am grabbing that and using a transforms to set the sourcetype for each syslog. SplunkAudit: 15:00:06 servername NTP: Synchronized clock via NTP: Successfully slewed time ![]() SplunkActivity: 15:00:06 servername NTP: Synchronized clock via NTP: Successfully slewed time The logs look like this: SplunkSystem: 15:00:06 servername NTP: Synchronized clock via NTP: Successfully slewed time I am pulling the logs off of a network feed where I had him point the syslogs to. I have a customer sending three different kind of logs via syslog. ![]()
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