If you're developing an application, you'll want to make sure you're testing it under conditions that closely simulate a production environment. Paralellize UI and API development and start delivering better applications faster today! Why is test data important? With Mockaroo, you can design your own mock APIs, You control the URLs, responses, and error conditions. By making real requests, you'll uncover problems with application flow, timing, and API design early, improving the quality of both the user experience and API. It's hard to put together a meaningful UI prototype without making real requests to an API. Note that you will need to add the input and manage the sourcetype, just as you would any other Splunk input.Mock your back-end API and start coding your UI today. That is it! Restart Splunk and you should see the new file in your /tmp directory. Created the nf that will reference this file.Placed a data sample within this directory.Created a sample directory within the app that requires the new data.The token simply refers to the regular expressions to capture within the dataset, replacementType refers to the how the replacement should function, and replacement refers to the output (in this instance, we are using strftime formatting). Next, we need to change the timestamp within the sample file, this is simply a matter of a regex pattern (notice that there are no capture groups). For now, we’re only concerned with the following įor more options, see the file ‘SA-Eventgen/README/’. Within this file, the first stanza refers to the file you originally placed in your /samples directory.įollowing this, we have a lot of parameters to choose from. Here we will either need to create a ‘nf’ file, or we will need to modify one we have borrowed from the SA-Eventgen app (SA-EventGen/README/). Place a sample of the data you want the event generator to work with in this directory.įinally, we will need to go into $YOURAPP/local directory. You will also want to create a $YOURAPP/samples directory. When setting permissions for this app, it will need to be accessible by all of the other apps. This app requires you to restart Splunk, but hold off on this for now.įollowing this, create a new App for testing purposes if you do not have one already created. I would also recommend that you name the folder ‘SA-EventGen’. Unzip and move the payload into your $SPLUNK_HOME/etc/apps directory. We will also be writing these events out to the /tmp directory. In this instance, I will be generating a copy every minute of the three events within a sample file, with entries in real-time. The event generator works in one of two ways it can be used to either ‘replay’ the events within a file or series of files, or it can be used to randomly extract entries within the file and generate them at semi-random intervals, with particular fields or values changed per your specification. Clint has been kind enough to record a very thorough walkthrough of how to get your event gen up and running in just a few moments, but we’ll supply some more details and an overall outline of the application in subsequent posts.įor my first example, I will be using a simple data set (see below). If you would like to get started using it, follow this link. ![]() ![]() If you run into issues with this, please, please, please DO NOT contact Splunk Support or these individuals. OBLIGATORY NOTICE: This is also my opportunity to say that this is a tool, and is 100% UNSUPPORTED. With that said, I want to give a very big ‘thank you’ to the two very talented Splunkers that developed the app, David Hazekamp and Clint Sharp. I find this tool to be incredibly useful, and it is my intention to provide a walkthrough and a few posts on some of my experiences with it. Maybe you’re working on creating automation or workflow around a specific event or series of events that don’t occur that often, and you would like to test them today instead of waiting for a blue moon.Įnter the Splunk SA-Eventgen. Perhaps (as I’ve encountered), you need to work with a production dataset, but can’t get an active input from the production environment until your Splunk App is ready to go into production (catch-22 anyone?). Perhaps you have a great use case for Splunk, but you need to have a working application in order to justify a larger volume, but the data source is of such volume and velocity it could violate your license. You are working on a PoC and need to fiddle with your indexing or timestamps and you simply don’t want to keep re-indexing your original content. Have you ever had a Splunk project that required a data feed, but for whatever reason it wasn’t practical to tap into the source itself? Examples of this could be
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