I think these are the moments where you have to go back to the basics and figure out, “okay so what are we doing, why are we doing it, who are we doing it for”, and make sure that you get that right so you can actually carry it across to the other side of it. If you have more than five servers, you need to pay. It’s very cheap to sponsor these events. 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. So we basically help the teams – whether they are in engineering, operations, product or business – to understand what these applications are doing in real time for their business. New Account Manager Amazon. Then you actually have a thread to pool, basically. Olivier: For the longest time, we only had one product, which was doing infrastructure monitoring, which was doing metrics. | Datadog is the essential monitoring platform for cloud applications. We provide product teams with everything they need to add activity feeds or chat to their app. Share to Linkedin; Datadog cofounders Alexis Lê-Quôc and Olivier Pomel. Basically you stitch all that together – that’s a trace. ET 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. So maybe the ‘space 101’ and ‘Datadog 101’ and then we’ll dig a bit deeper. For the first few years of the company, we grew that product and we made sure it had the right fit to sell it. EY & Citi On The Importance Of Resilience And Innovation, Impact 50: Investors Seeking Profit — And Pushing For Change, Michigan Economic Development Corporation With Forbes Insights. “Data dogs” were production databases and “Data Dog 17” was the horrible, horrible, Oracle database that everyone lived in fear of. Olivier: It was a bit of all. Matt: Were some of these initial customers large companies, small companies? “But so far from what we can see, we see a lot more reliance on online [usage]. Do you want to define what those are? I want to stay in touch with what’s happening with the product and I’m going to see all the deals we close and I”m also going to read all the comments we get from employees in employee surveys. The booming market for hot tech stocks minted … We talked about the advances of machine learning for NLP and things like that – just about everybody over the age of one can speak and understand NLP but for the kind of problems we solve it’s going to take a team of PhD, hours, and a lot of arguing to try and figure out what actually happened in an issue. Small company/large company – the product is adopted the same way. “I would say it’s too early to tell where everything nets up," Pomel said on the earnings call Monday. Liviu a 6 postes sur son profil. So these are great ways for companies like us to get started and get some market traction to start with. 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. But what we do is very horizontal so every company in every industry needs it. And I think “it’s fine, just go to a studio and ask me some questions”. Stream | 1.997 Follower auf LinkedIn | The API for scalable feeds and chat. The company went from a tiny startup in 2010 that had trouble raising money, to a public company that, at the time of writing, has a market capitalization of $12.5B. By that time we had packaged the product, we knew what we were selling, who we were selling to, how people could deploy with it, what the first six months of usage looked like from these customers so we don’t have to make all that up. It’s free and free forever in that way. (Matt: metrics are numbers, logs is unstructured data?) Consultez le profil complet sur LinkedIn et découvrez les relations de olivier, ainsi que des emplois dans des entreprises similaires. 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. If their plan is to do whatever you’re doing or a fraction of whatever you’re doing four years later that’s not where your competition is going to come from. So I like to have very rich feeds of information, for example I see a large volume of the tickets our customers are filing. How did you select them? We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. But what it does is it keeps me enough in the loop so I can pattern match, I can understand which questions to ask from the people and basically how to be gently informed of what they do instead of micromanaging them. Obviously going public, I’m curious, whatever you can talk about from an inside perspective. No, I was on a stool in the middle of the Nasdaq, with my whole team around me. By any measure, Datadog is an incredible entrepreneurial success story. In each of these companies it was at least the team and in some the technologies and in some the customer experience. With revenues hovering around $350M, it has 1,300 employees across 31 locations around the world. 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. Olivier: Yes we were starting to get quite a bit of inbound and we wanted to have people following up on inbound and without having the whole team in a high-touch approach to everything. Traces are stitching together all of the interactions you’re going to have during a customer interaction. Olivier: We have a free tier that’s limited in volume. Matt: To that point, what is real time? Especially in the beginning. To close for me, maybe some thoughts on the personal journey as a CEO, as a human – when you think of what a founder needs to accomplish to go from the very beginning to where you currently are and then very much so in the next few years (because in many ways it’s just the start right? So you end up killing people’s productivity and they feel bad. Intelligence Empowers Industry | Flyinstinct - A Paris based high tech company founded in 2017, specializing in airport inspection with A.I. These are examples of what we do for them. Is it a combination of account executives and SDRs/BDRs, business development representatives? 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. Olivier: Yes quite a few, yes. It’s not true. We tried to turn it in different ways. Olivier: In general I think it’s not a good idea to obsess over the competition. | Datadog is the essential monitoring platform for cloud applications. Working Student foodspring. Whenever you do something that finds market traction you’re going to have a lot of other companies trying to copy it. Despite all that, we ended up in a situation where operations hated development, development hated operations, we were finger pointing all day. Matt: So how did you build your salesforce to reflect that? It started with companies that mostly had a large online footprint, so media, e-commerce, gaming, etc. Initially you needed to be really good at coding, now you need to be really good at talking to public market investors, how do you not just completely lose your sanity through the journey? Datadog stock drops 10% despite beat on earnings, outlook Last Updated: Nov. 10, 2020 at 4:52 p.m. [Olivier: Yes, all engineers.] Eugene Kandel CEO at Start-Up Nation Central Israel. There are 4 professionals named Olivier Pomel, who use LinkedIn to exchange information, ideas, and opportunities. We had no money, we had no customers, we had no product. We thought maybe we’d do something a bit different and we were full of doubt at the time. 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. On the earnings call, Pomel said Datadog has seen business grow in the two months since the pandemic knocked stocks lower. View Aryan Jain’s profile on LinkedIn, the world's largest professional community. 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. 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. We tell them “hey you’re having an issue right now on xxx [19:07] and it’s not just you. Olivier: Usually when we build a new system, we’re adding a data type, we usually start with something off the shelf, something open source. The inside team is closing their own deals. So we have hard real time constraints. There’s not much you can do about that. You felt like you had something that felt like a repeatable process? Matt: And that’s proprietary right? And the night before we said “let’s put $15”. When we started we sold to SMB in the market. Presumably a chunk goes to cold storage? We’ve tried having marketers do it, it doesn’t work great because you know it’s content for engineers so an engineer can tell if it’s been written by a marketer. 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. 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. 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. That’s the key to actually understanding what you’re building, who you’re building it for, how valuable it is, and perhaps you can sell it at some point. Used by more than a billion end-users. Datadog | 55.794 Follower auf LinkedIn | Datadog is the essential monitoring and security platform for cloud applications. The second half of the conversation was focused on all sorts of lessons learned along the way of building a major company- sales, marketing, fundraising, etc. Maybe we’ll start with Watchdog and what it does? Eugene Kandel. So it turns out we built exactly what we said to do. 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. So I type in my browser, the browser talks to the server, it talks to a database. I wrote a few months ago about the significance of the Datadog IPO for the ecosystem and beyond. | Datadog is the essential monitoring platform for cloud applications. olivier a 3 postes sur son profil. That’s been a pretty fertile place to leverage big data and for insights to better serve customers, is that why you entered that market, do you think you can differentiate yourself or is it much more about scalability and the data you already have for new types of insights. Olivier: Yes so we have a product called Watchdog and what it does is it automatically watches our customers infrastructure/applications without the customer having to point them at specific things. Share to Linkedin; Datadog cofounders Alexis Lê-Quôc and Olivier Pomel. If the person who bought it uses it and nobody else, we’ve lost. The API for scalable feeds and chat. 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. So we don’t have to model anything ahead of time. We provide product teams with everything they need to add activity feeds or chat to their app. 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. Logs are any events that are being generated by any of the participants in any of those systems. Used by more than a billion end-users. 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. If you don’t know, we’re not going to make you have more than give servers by calling you up. 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: 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? That’s a bit of a different model but the underlying adoption is still the same, it’s still bottom-up. Matt Turck: I’d love to start with some kind of a level set, to make this approachable for all kinds of audiences. It didn’t make sense for us to have those things being separate. 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. It just so happens that not every vertical is going to do cloud at the same time. 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. As a result, CEO. A lot of the value prop for the cloud was that, instead of having a development team that builds an application and then you spend 6 months filing tickets and placing order forms in order to actually bring that application into production, and you can’t change your mind for three years on the way it’s going to run… with the cloud you can actually decide on the spot and do whatever you want, engineers and developers can do it themselves without needing to ask for permission, or file a form. Berlin. Very early on, we went to community conferences. But in our previous company, we used to name the production “servers dogs”. AI, Data, Culture: In Conversation with Ben Horowitz, GP, a16z, Is Big Data Still a Thing? So people spend days going “I need to write this article”, and nothing comes out. 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. 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. The large companies, initially they’re great at talking about problems but they’re not great at adopting your stuff. It was very moving to see people there because many of those people were at the company for 5, 6, 7, 8, 9 years or more, were there from the beginning. How did you stay confident when all those copycat companies were being created and your company’s ability create value in the industries when there are companies that are coming in trying to do the same thing? When you have a product, when you have some money and you have some customers. Olivier: Yes that’s a great question. How will this change in light of the faster speeds from the 5g networks as well as the rise of edge computing from IOT devices, etc. As a result, CEO Olivier Pomel and President Alexis Lê-Quôc are now both billionaires, worth $1.6 billion each. Datadog cofounders Alexis Lê-Quôc and Olivier Pomel. Matt: To this point, when did you actually hire the first salesperson? When you have a real world problem you actually need to go across everything so it made sense to integrate everything. By any measure, Datadog is an incredible entrepreneurial success story. 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. Olivier: We were less than 30 when we hired the first salesperson. Olivier Pomel. Company profile page for Datadog Inc including stock price, company news, press releases, executives, board members, and contact information Matt: Is it a bottom-up or top-down sell, do you get actual developers and operations people and then up-sell or do go to the CIO? The booming market for hot tech stocks minted two new billionaires from the same company on … The story there is when we launched a product, we priced the product initially we were going to price it at $12 per instance per month. So customers are going to deploy agents and libraries and API’s and we’re going to crawl their accounts on cloud and things like that. It was a pioneer in the category of DevOps and observability, and it’s now a clear leader. So all of that was a key ingredient in making it successful. Matt: Why do you think you sucked? One of the main reasons we started the company was to bridge the gap between the different teams and break down the silos. 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. Olivier: That’s a great question because actually we see there a lot of the same problem. Was it mostly engineers? Datadog shares are now up more than 80% since their public market debut. We bring together data from servers, containers, databases, and third-party services to make your stack entirely observable. 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. Olivier: There are a couple of aspects to it. They had even taken the images from our website and the JavaScript code, so everything was in there. Olivier: It’s bottom-up even in large enterprises. And everything needs to be persisted, everything needs to be kept. Olivier Pomel: What it really is, just to take it to a very high level to start: Whenever you watch a movie online or whenever you buy something from a store, in the back end there’s ten thousand or tens of thousands of servers and applications and various things that basically participate into completing that – either serving the video or making sure your credit cards go through with the vendor and clears everything with your bank. We have a time that’s built that way and it reports into engineering, it doesn’t report into marketing. Yaniv Binyamin. HOULOUM has 1 job listed on their profile. Olivier: We deploy all sorts of collectors, and all of our collectors are open source. We don’t have an inside team that is generating leads for an enterprise team, that’s not how we do it. Do you remember how many people you had, 2011/2012? 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