I think the changes you might have for a round trip for serving a video for example, that’s not the part that we’re playing in today. Efi Neeman Israel. Traces are stitching together all of the interactions you’re going to have during a customer interaction. The booming market for hot tech stocks minted two new billionaires from the same company on … When we started we sold to SMB in the market. Olivier Pomel. I would say we were lucky despite it being difficult initially when we took our product out of beta we have fairly immediate market traction so there was less room for doubt there. Alexis L. Alexis L. CTO at Datadog New York, NY. Oliver: All of it is real time, all of it has to be in process and visible and understood in real time. I’m not going to act on every single piece of that, I’m not going to go tell people “oh you should do this about that”, I’m not going to opine on every single deal, every single ticket. All these different things were disconnected and didn’t talk to each other. How did you select them? I don’t think that company is still around by the way. The company’s 6 cents per share earnings also beat Wall Street expectations, which were forecasting a loss of 2 cents a share. Eugene Kandel. You guys recently announced a security product and entering the sim market. And then you can change your mind from one day to the next. By any measure, Datadog is an incredible entrepreneurial success story. The large companies, initially they’re great at talking about problems but they’re not great at adopting your stuff. The way we define success for these products is we want to get deployment and adoption that is as broad as possible at our customers. We tell them “hey you’re having an issue right now on xxx [19:07] and it’s not just you. Hay 185.000+ profesionales con el nombre de «Olivier.» que usan LinkedIn para intercambiar información, ideas y oportunidades. Voir le profil de olivier pomel sur LinkedIn, le plus grand réseau professionnel mondial. And then as we grow, as we get more and more data into it, we see the many ways it doesn’t work for us at scale. You’ve had this very interesting horizontal expansion strategy. (Matt: metrics are numbers, logs is unstructured data?) Olivier: In general I think it’s not a good idea to obsess over the competition. Our stance on machine learning in general is that it is very hard for what we do to lead with no AI because you’re bound to disappoint because the generic case is very very hard to solve. How did you go about it? Every year it had to double in size and we had to sacrifice goats so the database wouldn’t go down. I think it only took a couple of years to find a company in China that had the same assets we did. We don’t have an inside team that is generating leads for an enterprise team, that’s not how we do it. Engineers writing is not super scalable. The cloud scaled up.”, I'm a reporter at Forbes focusing on markets and finance. We set out to, by bringing dev and ops together, those two teams that had to work together but hated each other, it’s a little bit of the same with development teams and security teams and operations teams and security team where it’s also very difficult to get those teams to collaborate and work together. We have a time that’s built that way and it reports into engineering, it doesn’t report into marketing. As we grow we might do different kinds of acquisitions because we have more scale, we might enter categories that are more different to what we’re doing today, but early on we really focused on integrating the teams and making sure that we basically have a new leg to build on, new leadership we can use to drive new parts of the product. We provide product teams with everything they need to add activity feeds or chat to their app. I’m familiar with companies where it’s the role of engineer to write one blog post every quarter. Matt: What did the team look like in those early years? Matt: One of the core aspects of the value proposition of Datadog is that you cover the “three pillars of observability”, which are metrics, traces and logs, in addition to other things. So for all those products we build them so that they’re going to be adopted by everyone on the team and then we keep adding functionality to keep differentiating after that. Courtesy of Datadog. Because you need someone full-time who is going to spend their days with the customer and that person initially could be good at sales but mostly it’s going to be a product person. Datadog listed on the Nasdaq exchange in September 2019, raising nearly $650 million and nabbing a $10.9 billion market cap on its first day of trading. Then the way we run it under the hood is that we’re going to keep all of the data that’s from basically the last 24 hours in memory so it can be accessed very quickly and over time we age this data to various forms of colder and cheaper storage. | Stream powers activity feeds and chat for more than 500 million end-users. Auf LinkedIn können Sie sich das vollständige Profil ansehen und mehr über die Kontakte von Morgan JEGOU und Jobs bei ähnlichen Unternehmen erfahren. We had no money, we had no customers, we had no product. Initially I sucked at fundraising and I remember, you fly to take all these meetings, I remember being in hotel rooms on the other side of the country, having had four “no’s” in a day and you’re like “so I need to call my co-founder and tell him it’s not working well”. So in the end we ended up hiring full-time engineers who are also interested in journalism, and those people exist, and have them focus on research and writing. The spike in Datadog’s stock followed a first-quarter earnings release on Monday after the market close that beat analyst expectations. Efi Neeman. Not one for gratuitous self-aggrandizing, Olivier has given surprisingly few interviews over the years, and it was a real treat to sit down with him for a fireside chat in front of a packed house of 350 attendees at our most recent Data Driven NYC. And I think “it’s fine, just go to a studio and ask me some questions”. There is an existing category for that. Is Datadog fundamentally a large database, for lack of a better word? For some of what we do, I mean we had the fifth or sixth iteration of the underlying data source already. Do you remember how many people you had, 2011/2012? Consultez le profil complet sur LinkedIn et découvrez les relations de Liviu, ainsi que des emplois dans des entreprises similaires. Many founders ask me, “so when should I hire my first sales person?” and I don’t think you need a salesperson straight away because the job you do initially is not selling, the job you do initially is spending time with the customer. We’re not actually in it to have the largest amount of features and to be the best at selling an RFP where somebody’s built a matrix with, oh 77 requirements and you say yes to each of those requirements. In 2010-2011 how long were you guys in R&D mode? We bring all that together and help the people who need to make sense of it understand what’s happening: is it happening for real, is it happening at the right speed, is it still happening, are we making money, who is  churning over time. Experienced first-hand the culture and technology gaps separating development from operations the whole industry that was going,... You ’ re going to have different kinds of problems usually but they are great at talking problems. 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