Reach out at jponciano@forbes.com. View HOULOUM Siméon’s profile on LinkedIn, the world's largest professional community. We provide product teams with everything they need to add activity feeds or chat to their app. 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”. Save my name, email, and website in this browser for the next time I comment. Can you tell us about your Mark Zuckerberg moment when you turned down $8 billion from Cisco? Recently, I would say four years ago, as the cloud migration started to take foot in large enterprises, we started an enterprise sales force that’s selling to companies at 5,000 employees. Olivier: For the longest time we were less than 10, would say 7. | Datadog is the essential monitoring platform for cloud applications. FULL TRANSCRIPT (lightly edited for clarity and brevity). Previous Article. We have a time that’s built that way and it reports into engineering, it doesn’t report into marketing. Olivier Pomel. Datadog | 55.794 Follower auf LinkedIn | Datadog is the essential monitoring and security platform for cloud applications. Matt: How does [the Datadog platform and backend] work? It was also winter in New York so it was pretty sad. You’ve had this very interesting horizontal expansion strategy. The booming market for hot tech stocks minted … Synthetics, for those of you who don’t follow the industry, is basically simulating user behaviors, stimulating users clicking on your application for example or simulating API calls to continuously validate that everything works even if the users are not on it yet. Olivier: There’s a number of things our customers can’t do on their own. | Stream powers activity feeds and chat for more than 500 million end-users. You play with immense amounts of data and obviously being able to find patterns and all those things is super important, but from what I’ve read and in previous conversations it feels like you guys have had a very thoughtful and measured approach to machine learning. So we can focus on that part. Yaniv Binyamin Director of Chemistry & Materials Engineering Jerusalem, Israel. For the first few years of the company, we grew that product and we made sure it had the right fit to sell it. It’s very cheap to sponsor these events. We tell them “hey you’re having an issue right now on xxx [19:07] and it’s not just you. Consultez le profil complet sur LinkedIn et découvrez les relations de olivier, ainsi que des emplois dans des entreprises similaires. That inside sales team is typical, it’s SDRs and account reps. It’s the account reps that are doing the closing. There’s a saying that if you look into the wall you’re going to drive into the wall, that’s a bit like that. We record what’s happening and basically abstract the data model out of that. It’s free and free forever in that way. Datadog | LinkedInのフォロワー数59,703人Datadog is the essential monitoring and security platform for cloud applications. Going back to what we’re trying to solve here, we want to bridge the gap between the teams and get everything on the same page. Yet until very recently the only way we could buy log management was by volume so basically you sent everything and everything you send you get charged for it. Along the way, they faced a lot of skepticism: “Whenever we pitched West Coast investors it was sort of seen as a form of mental deficiency to be based in New York and doing infrastructure“, says Olivier. For some of what we do, I mean we had the fifth or sixth iteration of the underlying data source already. Auf LinkedIn können Sie sich das vollständige Profil ansehen und mehr über die Kontakte von Oliver Pohl und Jobs bei ähnlichen Unternehmen erfahren. Basically you can get our infrastructure for free if you have less than five servers. So we’re going to collect data in all sorts of ways, and we send all that to our centralized service. Stream | 2,362 followers on LinkedIn. All Rights Reserved, This is a BETA experience. Analysts have remained bullish on the stock, and its shares traded around IPO levels until earlier this month, when stocks of cloud-computing providers like Slack, Twilio and Datadog ticked up, as working remotely looked to be more of a long-term solution. Matt: Where there terrible moments of self-doubt? Sehen Sie sich das Profil von Morgan JEGOU im größten Business-Netzwerk der Welt an. Over time we keep iterating all these algorithms on this data to figure out what parts of the program space we can actually solve with a  super high level of confidence so that we’re going to put things in front of our customers that are not going to be garbage. Your competition is going to come from people who are trying to do it differently, who are going to have a different approach and that’s how they’re going to build their own traction, that’s how they become a threat. Matt: From a product development standpoint, I’m curious – is the value proposition that, for each of those silos, at least initially you may not have the best product on the market with all the bells and whistles, but if you have them as part of a suite and have everything under the same hood, that makes it great? For that we had to differentiate, we had to find a way to give customers some flexibility so that they could actually say “that part I don’t care so much, that part I care about a lot more so I’m going to do more with that part and pay more for that, that part I’m not going to pay anything or going to pay very little for it”. Matt: Were some of these initial customers large companies, small companies? We had a coupe of employees who joined us as interns and very early on in the company and were at the IPO so it was very moving to see that. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. You guys recently announced a security product and entering the sim market. )… How did you scale yourself? Now the most important thing about pricing as we’ve been scaling it – and customers send us more and more data – is to make sure that customers have the control and they can align what they pay with the value of what they get. | Stream powers activity feeds and chat for more than 500 million end-users. If we put $15 it worked fine and you know later we actually raised tha tprice to $18 and it didn’t change any of the metrics. And the night before we said “let’s put $15”. Matt: Who wrote the content? Hay 185.000+ profesionales con el nombre de «Olivier.» que usan LinkedIn para intercambiar información, ideas y oportunidades. They used to be very different categories. Matt: Any lessons learned around pricing? Datadog | 62,122 followers on LinkedIn. Olivier: We didn’t pivot. Enter your email address to subscribe to this blog and receive notifications of new posts by email. ET First Published: Nov. 10, 2020 at 4:26 p.m. Do you prefer being on a computer building product, solving problems on the computer or do you prefer to be on the phone with someone or in the office of a customer? Vanja Josifovski Los Gatos, CA. Efi Neeman Israel. Stream | 1.983 volgers op LinkedIn | The API for scalable feeds and chat. 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. That’s the team that produces the content. Logs are any events that are being generated by any of the participants in any of those systems. Datadog shares are now up more than 80% since their public market debut. I think it becomes much more clear you know after the weeks that follow that decision why it was a good decision to do what you did. We actually very early on we decided we wanted to make sure customers could find us when they tried to learn about DevOps and cloud migration, which are the big trends we plug into. Working Student foodspring. So even though ostensibly, you’re preparing for a specific one day event and everybody’s calling victory on that day, what you’re really preparing or working for is the longer term and the couple of years that follow the IPO. You ingest massive amounts of data from a bunch of different sources? The IPO itself, to run it I would say the most important was to have a good team to work on it. | Datadog is the essential monitoring platform for cloud applications. In general I think that’s fine. Matt: I’ve got so many more questions but in the interest of time, just a couple of last topics because I want to give time for people to ask questions. There was a camera pointing at me, they were in a studio somewhere else on the other side of the country, I had an earpiece I could barely hear what they were saying on the earpiece, and somehow they were talking about Iran and things like that and I was terrified because I was thinking, my god I will never hear what they ask me and I’ll look stupid in front of everyone. Alexis L. Alexis L. CTO at Datadog New York, NY. But as it turns out, the product we shipped initially and the product we have today, almost look exactly like the notebook drawings that we had done in 2010. Matt: Let’s talk about machine learning a little bit. I think it only took a couple of years to find a company in China that had the same assets we did. Olivier: Well it depends on the copycats. They had even taken the images from our website and the JavaScript code, so everything was in there. [Olivier: yes] And I read somewhere that you guys don’t actually use a lot of third party stuff, whether that’s other products or open-source tools, is that correct? We wanted to build a system that brought the two sides of the house together, all of the data was available to both and they speak the same language and see the same reality. The booming market for hot tech stocks minted two new billionaires from the same company on … Despite all that, we ended up in a situation where operations hated development, development hated operations, we were finger pointing all day. But in our previous company, we used to name the production “servers dogs”. Olivier: Yes quite a few, yes. It just so happens that not every vertical is going to do cloud at the same time. So there’s a bit of a funnel already because not everybody is going through that transition at the same time and when they go into that transition they signal it by looking for certain content or going to certain conferences. Pomel and Lê-Quôc, who also serves as the company’s chief technology officer, cofounded Datadog in 2010 in New York City; today they each own about 6% of Datadog shares. View Aryan Jain’s profile on LinkedIn, the world's largest professional community. Matt: What was the trigger? Datadog shares are now up more than 80% since their public market debut. I don’t think that company is still around by the way. Matt: I’d love to switch gears and maybe talk about the journey and lessons along the way in terms of building a company from a tiny startup into an industry juggernaut. So the way that we’ve been building it is that we have all the data, we solve all the transactional use cases for our customers, we solve these issues. 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