Hi, I’m David Carasso, perhaps you’ve seen my famous File Classifier Video. It’s the number one video at CurrentTV.

Below is a second screen capture video that I just made to describe Splunk’s new Event Typer. The Event Typer dynamically tags system events in custom, yet, universal ways. For example, I can say that for any event that happens on Sunday, that has ’status=Fatal’, and that has “sourcetype=weblogic”, to be dynmaically tagged as a “weekend_fatal_weblogic” event. Topics covered include: what is an event type; how to search, view, and count event types; creating an event type; creating an event-type template; and discovering event-types.

Yes, production value is what you’ve come to expect from a Carasso Production. That’s right 15 minutes of unscripted nerd talk. Now with a bonus 45 seconds of video as I type in an off-camera window. But I promise you’ll learn a few useful things you didn’t know.
EventTyperVideo (15 minutes of emacs magic)

Hi, I’m David Carasso and below is a screen capture video I just made to describe Splunk’s File Classifer. The File Classifier takes a file and tell you what type it is. From that sourcetype we determine what to do with the file and how to process it. It’s pretty critical for properly handling a file, including time-stamping events and aggregating multiple lines into single events. There are several methods that the File Classifer uses to classify a file, and we’ll cover each one with real-world examples.

Yes, production value is at a new low here as I cover 18 minutes unscripted, but I promise you’ll learn a few useful things you didn’t know. There’s a free Splunk t-shirt for the commentor that guesses the actual number of times I say “uhhhhh”.

File ClassifierVideo (18 minutes of action packed emacs video)

Here’s a paper I recently wrote on some of the automatic field extraction we’re doing with Splunk.

Abstract
This paper presents an interactive bootstrapping process used in Splunk that automatically learns to extract fields from log events. End users simply select one or more example values of a field and a learning process discovers additional instances, along with the patterns to extract them. The user is able to correct the instances and save the extraction patterns. Immediately afterward, while searching log events the newly-taught fields will be extracted from the event’s raw text.

Click here to read full paper

Feedback appreciated.