The volume of transactions, each day and overall, by status.The breakdown of transactions per day, where each bar section corresponds to a bucketed time duration in milliseconds.Click a transaction to see details about it: The table on this page shows the transactions that have occurred over the last seven days.
You can quickly see which transactions are gaining frequency, see a breakdown by transaction status, the rate of failed transactions, and see which errors are affecting transactions the most. The Transaction dashboard shows a summary of transaction activity over the last seven days. Get better visibility into where transaction bottlenecks reside and which transactions users perform most often. You might also need to start your time window significantly before the time frame you are looking at, then throw away all the records that both started and stopped before the beginning of the period you are reporting.The Transactions dashboard tracks the duration, completion time, and failure rate of custom-defined transactions. Now, if you have no logoff at the end, then you might have to do something slightly more complex.įor instance, sort the opposite direction, copy the logoff_time back to the logon, and if there is no logoff_time use now() and flag it. Make sure you've identified all the ways people can log on or off. Now, assuming you captured all the logins and logoffs, you have one record for each logon/logoff pair, with the user and duration on it. | eval duration = logoff_time - logon_time | rename COMMENT as "throw away logon records" | streamstats last(logon_time) as logon_time by user
| rename COMMENT as "sort in order then copy logon_time forward to logoff records" | eval logoff_time=case(this is a logoff, _time) | eval logon_time= case(this is a logon, _time) Im posting a new answer because I cant comment from my workplace for some reason. | fields _time user any other fields you need Okay, make a search that collects all the logins and log offs. More information with examples here: About Transactions Hopefully this helps you get on your feet. Keep in mind that your index and/or field names could be different than mine, so it's more than likely that a straight copy/paste won't just work.
SPLUNK TRANSACTION TIME WINDOWS
I would also recommend reading up about Windows Event Logs as finding actual logon and logoff events at a specific workstation is more complicated than just looking for those event codes, so you would have to tweak your search filter. Also, the transaction command looks for events that have user and Workstation_Name in common between the start and end events. unless you specify keeporphans=true in which case, transactions without an end are kept. If the user hasn't logged off in a day, the event wouldn't show up because there's no end. UTC is a time standard that is the basis for time and time zones worldwide. maxspan is the maximum amount of time in which to look for a transaction. GMT is a time zone officially used in some European and African countries as their local time. Published Date: JanuDistributed tracing, also known as distributed request tracing, is a method of monitoring and observing service requests in applications built on a microservices architecture. The transaction command uses "4624" to signify the start of a transaction and "4634" as the end. | fillnull duration value="not logged off"ĮventCode 4624 is a logon event and EventCode 4634 is a logoff event. | transaction user Workstation_Name startswith=4624 endswith=4634 maxspan=1d keeporphans=true You said you were using Wineventlog, so a quick search I whipped up looks like this: index="wineventlog" (EventCode=4624 OR EventCode=4634) What I can do is try to explain it to the best of my ability. Not really something I would feel comfortable doing.
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