About ClintClint is the CEO and a co-founder at Cribl, a company focused on making observability viable for any organization, giving customers visibility and control over their data while maximizing value from existing tools.Prior to co-founding Cribl, Clint spent two decades leading product management and IT operations at technology and software companies, including Splunk and Cricket Communications. As a former practitioner, he has deep expertise in network issues, database administration, and security operations.Links:
Cribl: https://cribl.io

Cribl sandbox: https://sandbox.cribl.io

Cribl.cloud: https://cribl.cloud

Jobs: https://cribl.io/jobs

TranscriptAnnouncer: Hello, and welcome to Screaming in the Cloud with your host, Chief Cloud Economist at The Duckbill Group, Corey Quinn. This weekly show features conversations with people doing interesting work in the world of cloud, thoughtful commentary on the state of the technical world, and ridiculous titles for which Corey refuses to apologize. This is Screaming in the Cloud.Corey: This episode is sponsored in part my Cribl Logstream. Cirbl Logstream is an observability pipeline that lets you collect, reduce, transform, and route machine data from anywhere, to anywhere. Simple right? As a nice bonus it not only helps you improve visibility into what the hell is going on, but also helps you save money almost by accident. Kind of like not putting a whole bunch of vowels and other letters that would be easier to spell in a company name. To learn more visit: cribl.ioCorey: And now for something completely different!Corey: Welcome to Screaming in the Cloud. I’m Corey Quinn. My guest this week for this promoted episode is Clint Sharp, the CEO and co-founder of a company called Cribl. Clint, thank you for joining me, and let’s get the big question out of the way first: what is Cribl?Clint: Yeah, so Cribl makes a stream processing engine for log and metric data. And that sounds really dry and boring, but what it really means is, we help connect, in the observability and security world, lots of log and metric sources, so you can take stuff from anywhere and put it to anywhere. And you can think of it like ETL or you can think of it like middleware; it sits there in this particular space, and it’s built for SRE and security people.Corey: Now, I looked into this a little bit previously, and I had a sneaking suspicion when I started kicking a few of the tires on this, that there’s probably going to be an economic story of optimization and saving money because of a couple things. One, that’s what I do; I pay attention to things that save customers money in the end run, and to your company’s called Cribl—that’s C-R-I-B-L. That should probably have another L and certainly, you should buy a vowel to go in there somewhere, but that’s someone optimizing but still keeping things intact enough to be understood slash pronounceable. It really does feel like in this space, saving money on vowels is a notable tenet for companies that focus on saving money.Clint: Yeah, so what’s interesting about enterprises is they care about money, and then they don’t care about money. And so it’s a really good way to get a meeting. We definitely do help people save a ton of money, but ultimately, I think what the value people get out of the product is helping connect all the things that they have. And so one of the biggest problems that we see in the spaces is, “Hey, I have all these agents deployed.” Maybe it’s Fluentd or Fluent Bit, or Elastic Beats or Splunk’s Forwarder.And I want to get this data over to my fancy new data lake, or over to my machine learning and AI systems, and maybe I want to put it on a Kafka Topic, but it’s only designed to work with the thing it’s designed to work with. So, if I have Beats deployed, it works with Elastic. Okay, great. How do I also use that same data elsewhere? And really, that’s the big problem that we end up solving for our customers.Corey: It’s the many-to-many probl