In large enterprises, we start with the CIO often, and then the CIO kicks it down to the teams and then we go bottom-up. We had an in-depth conversations and covered a lot of topics. Development: developers are the ones who write the applications and the code, and Operations: that used to be people who build servers and rack them and pull the network cables, that sort of thing. If you can focus on your customers, if you focus on how you’re doing things, what you know is working, what you know is not working, I think you’ll be fine. Efi Neeman. Share to Linkedin; Datadog cofounders Alexis Lê-Quôc and Olivier Pomel. Matt: What did the team look like in those early years? We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. Then you have to be honest with yourself and figure out, even as a founder, do you enjoy spending time with a customer? 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. You started with the things we talked about – metrics, traces and logs. Olivier: We deploy all sorts of collectors, and all of our collectors are open source. It didn’t make sense for us to have those things being separate. Matt: So how did you build your salesforce to reflect that? Olivier: That’s a great question because actually we see there a lot of the same problem. When you’re a developer at a very large enterprise you don’t think of yourself differently as a developer at a start-up or smaller company. So we can focus on that part. The large companies, initially they’re great at talking about problems but they’re not great at adopting your stuff. 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. Olivier: In general I think it’s not a good idea to obsess over the competition. So we have hard real time constraints. | Datadog is the essential monitoring platform for cloud applications. That really brought the developers and operations teams together, and that was a bit part of the DevOps movement. I wanted to make sure we were in a situation where customers were not deploying us in one place and then forgetting the rest because it can’t afford it. FULL TRANSCRIPT (lightly edited for clarity and brevity). We’re an infrastructure monitoring product us so you need to deploy us everywhere otherwise it doesn’t make sense. Every time you are tempted to, because it is tempting you seel of all those press releases, you see people raising money and you see all that stuff, whenever I personally was tempted to read more about them and look at what they’re doing, instead I’d go and spend time with customers or potential customers, this way you know you avoid overfitting what you’re doing to what you think the competition is doing. Olivier: We announced three companies that we acquired over time. Datadog shares are now up more than 80% since their public market debut. exchange in September 2019, raising nearly $650 million and nabbing a $10.9 billion market cap on its first day of trading. Olivier: For the longest time, we only had one product, which was doing infrastructure monitoring, which was doing metrics. 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. 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. “This crisis [the COVID-19 pandemic] has demonstrated the need to be digital-first and agile, underscored the importance of observability into cloud environment, and reaffirmed the long-term opportunity for Datadog.”. The problem with that is you end up with products that are super super complicated and they get sold, and then one person uses them and everyone else is scared. | Datadog is the essential monitoring platform for cloud applications. Which means we need people to actually use us. It’s actually really hard starting from the security side of the house to get all of that instrumented and all of that operationalised and I think we can make a big difference there. It just sounds like an event, like you do an IPO and then you’re done with it. But it turns out most of the work you do there is really to prepare for the 18 months that follow the IPO. Voir le profil de Liviu Cotora sur LinkedIn, le plus grand réseau professionnel mondial. Datadog | 55.794 Follower auf LinkedIn | Datadog is the essential monitoring and security platform for cloud applications. 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. “Data dogs” were production databases and “Data Dog 17” was the horrible, horrible, Oracle database that everyone lived in fear of. At the small scale it’s going to work. Whenever you do something that finds market traction you’re going to have a lot of other companies trying to copy it. Datadog | 62,122 followers on LinkedIn. 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? As we get a much better understanding of our use case and the shape and velocity of the data, then we start building on. 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. On a day when the main U.S. stock indexes fell, shares of cloud monitoring service Datadog bucked the trend, skyrocketing up 23% to an all-time high. © 2020 Forbes Media LLC. Datadog | 55.794 Follower auf LinkedIn | Datadog is the essential monitoring and security platform for cloud applications. We record what’s happening and basically abstract the data model out of that. The first half of our conversation was focused on Datadog itself, starting with a high level overview of the observability and DevOps space to make the discussion approachable by people who don’t know the space. So maybe let’s start with some of the history. Consultez le profil complet sur LinkedIn et découvrez les relations de Liviu, ainsi que des emplois dans des entreprises similaires. We have a freemium-free, free trial, which is how all customers get onboarded and howe we get bottom-up adoption of out customers. | Stream powers activity feeds and chat for more than 500 million end-users. Twitter Linkedin Facebook. Below is the video. We knew from the very beginning that we wanted to bridge the gap between different teams and different silos so when we wanted to add the rest, it was actually the biggest honor to be a step function on the trajectory of the company when we actually managed to do that and we noticed that we could also sell it and customers are also going to update it in addition. Your email address will not be published. Olivier Pomel New York, NY. So maybe the ‘space 101’ and ‘Datadog 101’ and then we’ll dig a bit deeper. So one common example is log management systems because machines are very good at generating large amounts of data and not all of it is valuable. 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 having a good CFO, I found, is very important. View the profiles of professionals named Olivier Pomel on LinkedIn. How did you select them? That’s a bit of a different model but the underlying adoption is still the same, it’s still bottom-up. And the night before we said “let’s put $15”. One person on the engineering team was a product person, but still an engineer by trade – I would say that the biggest difference there is that person really liked to spend time with customers as opposed to spending time on the keyboard which I think is a very important trait. CEO Olivier Pomel remarked on this in the company’s earnings call when he said: “our platform strategy continues to resonate and win in the market. And then we come back to the CIO in the end with an order form and a bill to negotiate. So there’s really I think room for discovery in pricing. The good news is that everyone was new to DevOps and to cloud, and everyone had to learn it, and you were going to learn it in two ways: by going to conferences and by reading content online on specific topics. The booming market for hot tech stocks minted two new billionaires from the same company on Tuesday. In general I think that’s fine. One thing that’s great overall in the US market if I was to compare it to the European market: there are a lot of mid market companies that are very tech-savvy, that have real problems, that understand those problems and are going to buy their way out of it. Matt: Interesting. So very early on, we started building, writing content on these matters, and we started going to conferences. Rodolfo Kohn. Matt: Well, I watched that interview, you did great. See the complete profile on LinkedIn and discover HOULOUM’S connections and jobs at similar companies. It’s very useful because otherwise I have no way to know and you see your screen will go red and they have to figure out why that is. Can you tell us about your Mark Zuckerberg moment when you turned down $8 billion from Cisco? I graduated from the University of North Carolina at Chapel Hill, where I double-majored in business journalism and economics while working for UNC's Kenan-Flagler Business School as a marketing and communications assistant. Presumably a chunk goes to cold storage? When we didn’t manage to fundraise initially, we sort of garbled the pitch quite a bit. I graduated from the University of North Carolina at Chapel Hill, where I double-majored in business journalism. Used by more than a billion end-users. We didn’t need initially to have big sponsorships and large booths. In terms of pricing philosophy though, we had to be fair and what we wanted to acheve with the price and the number one objective for us was to be deployed as widely as possible precisely so we could bring all those different streams of data and different teams together. It’s very cheap to sponsor these events. Matt: To that point, what is real time? (The 2016 IoT Landscape), Growing Pains: The 2018 Internet of Things Landscape, Resilience and Vibrancy: The 2020 Data & AI Landscape, The New Gold Rush? That’s why my co-founder and I started the company. We have also provided a full written transcript to make the content easy to scan through (many thanks to Karissa Domondon for her help with this). So I type in my browser, the browser talks to the server, it talks to a database. One of the main reasons we started the company was to bridge the gap between the different teams and break down the silos. And then you can change your mind from one day to the next. 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. Olivier: We’re talking about 10 trillion records a day, something like that [Note: 10 trillion records a day!!!!] There were laptops and we were doing demos – it’s a great way to get in front of the customer, to get some real feedback to see how they react when you show everything. Notify me of follow-up comments by email. By any measure, Datadog is an incredible entrepreneurial success story. Ironically, out of the three top public tech companies in New York today, two are infrastructure software companies (Datadog and MongoDB). 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. 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. 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”. Christian Lanng in conversation with Olivier Pomel. With revenues hovering around $350M, it has 1,300 employees across 31 locations around the world. Then you actually have a thread to pool, basically. “We are very pleased with our first-quarter performance," Pomel said during an earnings conference call. The cloud scaled up.”, I'm a reporter at Forbes focusing on markets and finance. So it’s never an easy decision to make. It’s not necessarily super interesting on its own. I’m familiar with companies where it’s the role of engineer to write one blog post every quarter. There are 189,000+ professionals named "Olivier -belgium-", who use LinkedIn … We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. When you have a broader platform, the churn goes away and the fact it is commoditized can actually differentiate by having everything else on the platform. Datadog cofounders Alexis Lê-Quôc and Olivier Pomel. 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. We tell them “hey you’re having an issue right now on xxx [19:07] and it’s not just you. During Datadog's Q2 earnings call, co-founder and CEO Olivier Pomel shared, “Our growth at scale amid the global pandemic demonstrates Datadog’s... Beliebt bei Felix Herzer. Olivier: For us I don’t think this changes the time constraints a lot because we’re already at a level of a few seconds roundtrip time to ingest and make sense of the data. So it turns out we built exactly what we said to do. That’s the team that produces the content. Consultez le profil complet sur LinkedIn et découvrez les relations de olivier, ainsi que des emplois dans des entreprises similaires. Sehen Sie sich die Profile von Fach- und Führungskräften namens „Olivier“ auf LinkedIn an. Most of the investors you meet with, yeah maybe they’ll buy in the IPO, some of them even the longer term investors are actually going to flip it right after the IPO or shortly after. Building a $12B Public Company: In Conversation with Olivier Pomel, CEO, Datadog. There are 4 professionals named Olivier Pomel, who use LinkedIn to exchange information, ideas, and opportunities. Olivier: Well I don’t think I understood really what the other side was looking for and how to present it that way. For metrics, companies used to buy in a monitoring tool, and then for traces they used to buy an APM tool and them for logs a log management tool. It pushed us to spend as much time with customers as possible to try and make sure we solved the real problem and not just the dream problem. 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. Obviously going public, I’m curious, whatever you can talk about from an inside perspective. Datadog | LinkedInのフォロワー数59,703人Datadog is the essential monitoring and security platform for cloud applications. Follow on Linkedin More Content by Martin Malloy . So all of that was a key ingredient in making it successful. Engineers writing is not super scalable. Olivier: DevOps is a new way  of doing things basically that collapses what used to be different worlds. In 2010-2011 how long were you guys in R&D mode? 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