6/17/2023 0 Comments Splunk ceoSullivan: Now you’re into the combination of operational intelligence and business intelligence (BI). Woods: How do you think that machine data will end up extending the power and capabilities of existing enterprise applications? How Operational Intelligence will Extend Enterprise Applications And you could call it “turkey basting” for all I care, but, if you want to describe the customer benefit, I think “operational intelligence” is the best way to describe this new category. BI is so far away from what Splunk is, because of all the baggage that comes with those systems, that we just felt we needed to look for a new way to describe it. It’s just that there’s so much baggage that goes along with BI, relevant to schema and data warehouses and structure, and having to know the questions ahead of time. You could have said, “Well, it’s BI for machine data.” That’s another way to describe it. What do customers get when they ingest their machine data and analyze it? So, we’ve been working hard to describe the category and the outcome. It becomes a monitoring system, it’s real-time analytics, it’s this data fabric, where we’re feeding data in, and it’s a development platform. It was almost like the category and the functionality of the product were the same.īut now, we’ve moved on from just searching for data. What is that? The company started with a definition called “IT search,” which was very good for the early days, because that’s what most customers did with it. Sullivan: We have been looking for a way to describe the value that customers get out of machine data. Why does operational intelligence define a new category of computing, and how would you define it? You want to postpone the decision until the last possible moment.”Īnd that’s kind of what Splunk lets you do with the data - postpone until the last possible minute what you do with it. As Guido Schroeder, our new SVP of products says, “It’s like getting married. You might as well just put it in the big bucket and ask the question later. So, to your notion of throwing a fabric over the data and not being forced to make a choice, that’s accurate, because Splunk doesn’t apply schema to it. Sullivan: Well, as Erik liked to say, “Splunk is like a tape recorder.” It is just sitting there, feeding the data as it occurs in time, and you can always back up the tape recorder and listen to the music, or look at the data at a moment in time. You can do either, depending upon what you need, with the same platform. You don’t have to decide whether you’re going to examine a repository using a batch process or whether monitor data in real time. How Machine Data and Operational Intelligence Can Supercharge Business Applications, Part I and Part II ) The other thing that really struck me is idea that Splunk doesn’t force you to make choices that other platforms force you to make. (For my view of how to define a data fabric and the impact of operational intelligence see these stories on : Woods: The image that I like best about the data fabric is the idea of throwing a net over all of your data, and then it makes your data usable. Splunk also provides the infrastructure to store this data over time, correlate this data with other data sources from within the enterprise or from external sources, make the data available to other applications or services across the enterprise, and export the data for other purposes as needed. Splunk provides the infrastructure to collect, index, monitor, and analyze massive streams of data in real time. I like to think of Splunk as an enterprise data fabric. Erik Swan was the one who coined the term “data fabric,” but that’s the phenomenon he is describing. So it has become like a staging area for data. conf who were pulling data into Splunk, but then Splunk analyzes that data and feeds information back out through our other operational systems. It was really about searching your machine logs, and learning where all your error codes are. In our early days, we were an IT search tool. We have become a staging ground for data. Sullivan: I’ve seen more customers who use Splunk as an engine into which they ingest data, and then they feed that data back out to other systems. The one that I liked the best was “data fabric.” What do you actually mean by it? How do you define it? Instead, you have started using worlds like data fabric and operational intelligence. No longer is Splunk described only as “IT search” or “ Google for machine data”. What are the risks the newly public company faces as it grows?įrom IT Search to a Data Fabric to Deliver Operational Intelligenceĭan Woods: Godfrey, I noticed that you are developing a new vocabulary to describe Splunk now that the product is starting to play a bigger role outside of the data center.
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