Bart Copeland, is the CEO of ActiveState. Since the 90s, millions of developers have used the famous ActiveState distributions of Python, Perl and Tcl. In this episode, Bart narrates ActiveState’s journey, including several pivots and ownership changes. Stay tuned to the end to find out how they were able to pivot to the open source thing that they do so well.

Transcript

Intro

Michael Schwartz: Hello, and welcome to Open Source Underdogs. I’m your host, Mike Schwartz, and this is episode 36 with Bart Copeland, CEO of ActiveState.

If you’ve ever installed Python, Perl, or Tcl on a Windows workstation, there’s a pretty good chance you use the ActiveState installer and distribution.

ActiveState is one of the oldest open-source companies in existence. The founder was Dick Hardt, who some of you might know as one of the editors of the OAuth 2.0 specifications, among other notable achievements.

This episode is the first one we’re publishing that was recorded in person at the open-core summit. If you’re a fan of the podcast, you heard Joe Jacks, a few episodes back, describing the event which did not disappoint.

Don’t miss the next one if you can get to San Francisco. Especially if you’re a founder or entrepreneur interested in open-source software development.

ActiveState made some major pivots, although I think they ended up returning to their roots. It’s a pretty fascinating story. So, without further ado, here we go. Bart, thanks for joining the podcast today.

Bart Copeland: Thank you, Mike, it is great to be here.

Origin

Michael Schwartz: ActiveState was founded in 1997, which makes it one of the oldest companies we’ve interviewed so far. It was acquired by Sophos, I guess in the 2000s, and then, it was bought out by management.

Just focusing on what happened after the acquisition, can you take us back to the time after the buyout happened, and how you refocused a company?

Bart Copeland: It’s a really good question, Mike, but I should start with, in order to understand the refocus, we need to understand a little bit of history of why ActiveState was acquired in the first place.

ActiveState started in 1997, it was all around open source, building specifically language distributions around open source for the developers. Developers had needs specifically around Perl. Then, anti-spam became a huge problem. ActiveState came up with an anti-spam solution called Perl MX, and that caught the interest of Sophos.

Sophos acquired all of ActiveState, but Sophos really wanted the Perl MX product, which eventually became PureMessage under Sophos. The CEO Sophos had a lot of affinity, and pride, and admiration for all of ActiveState. And the other team, the language distribution team, was dormant within Sophos, and he did not want to do anything to hurt that team.

That’s where I got involved, and I was an early investor in ActiveState, but I wasn’t part of management. But then, Steve Munford, the CEO of Sophos, contacted me, and I, with a couple of few other outside investors, we acquired the team, the technology, the customers and the ActiveState brand.

And what we wanted to do leaving Sophos, is, we wanted to do the next great thing. We often said, “We want to do the next PureMessage.” So that started us on what we refer to as chapter 2, or version 2.0 of ActiveState. So, 1.0 was 1997 to 2003. And then, 2.0 was after the dormant period, from 2003 to 2006. And 2006, that’s when we started ActiveState 2.0.

Maybe, before I go on, did I give you a good grounding of…?

Michael Schwartz: Sure. And what was the plan when you bought it out?

Bart Copeland: There was two key plans. The first key plan was, we needed to extract ourselves from Sophos. There’s all this infrastructure and technology overlap that we needed to distract ourselves from, so that was our first plan.

The second plan was, let’s go do the next great thing. And that’s what we were going to do. We were a team, I think at the time, we were about 16 people or so. One other key caveat, above all this, was, I wanted to do it organically. I didn’t want to raise a bunch of money. I said, “Let’s do this the good old-fashioned way. Let’s drive revenue, let’s reinvest that revenue, our profits into growing even further.” So, that was what we embarked on.

Value Prop

Michael Schwartz: Would you say that you’re similar to Anaconda, or RedHat, making an open-source software distribution, consumable by the enterprise, by providing reps and warranties, and liability protection, and patches, and aligning with the enterprise procurement process?

Bart Copeland: The short answer is — I’m going to give you two answers, the short answer and the long answer. The short answer is, I say, we do the same thing that RedHat does for Linux, but we do it for open-source programming languages. 

We have RedHat Enterprise Linux or RHEL, and it’s a enterprise-grade distribution of Linux. We have Enterprise grade-distributions for Perl, Python and Tlco, and there’s a lot more we’re doing there. That’s a short answer.

The longer answer is, our whole mantra at ActiveState is twofold. Mantra number one is, making open-source easy for the enterprise. Mantra number two is, making open source that just works for developers.

When it comes to open source run times, whether you’re the enterprise or the developer, there’s different needs. But if you look at the complexity it is today, to build a language distribution from an open-source ecosystem, and have that consistency across operating systems, managing all the dependencies, managing the security issues, managing the license issues, and then, keeping it updated, and making it really easy to deploy and share with other developers, making it really easy to move that distribution from your dev environment to your test environment, or your staging environment, or it’s your production environment- it’s not easy.

We do a number of things that make it easy, as well as the indemnification that you talk to. There’s really two audiences, there’s developer audience and they have their needs, and then, there’s the Enterprise audience and they have their needs. And our goal is to meet both audiences’ needs.

Revenue Streams

Michael Schwartz: So, from a revenue perspective, what are the most important products, and which products do you think are the most promising for future growth?

Bart Copeland: I talked about the versions or chapters of ActiveState. Under chapter 1, the most important product in terms of revenue potential and growth was Perl MX product.

Under chapter 2, it was the Stackato product. The Stackato was our private PaaS offering. That product was sold to HP in 2015.

However, under chapter 3, it’s our language distributions product. But here is the important thing to recognize, Mike. Under chapter 1, and chapter 2, and under chapter 3, this has been a steady growing business, our language distribution business. What we’re doing different under chapter 3, is we’re trying to grow our business so that it doesn’t bifurcate. Because, if you notice in chapter 1 and chapter 2, we ended up with two business units.

In chapter 1, we had the language distribution business, and we had the Perl MX business. Under chapter 2, we had a language distribution business, and then, this product called Stackato, which I touched on briefly.

So, we ended up with two business units under chapter 1 and chapter 2, and I really felt what was important for us, as a company going forward under chapter 3, is, let’s have a unified product offering, no bifurcated businesses or two-business unit.

Our real growth opportunity and potential for ActiveState going forward is around this whole area, what we refer to as open-source language automation. This is a category that we’re leading in. It is bringing automation to your open-source runtime.

And, as you know, Mike, in the hole open-source ecosystem today, there is a lot of movement towards bringing automation to the software development life-cycle. We are touching on one aspect of that, and that’s the open-source runtime.

Why this is so important, and why we see this is a huge opportunity, not only for ActiveState, for a lot of people in the open-source ecosystem is that developers today have lost the freedom to do what they do best, and that is, write code.

Developers today are spending more time doing things other than writing code, they’re dealing with security issues, they’re dealing with license compliance issues, they’re dealing with IT compliance issues, they’re dealing with bug fixes. And it’s knowing that developers are losing their efficiency in doing what they do best.

Furthermore, developers are not able to use the best tools to do the job. What we’re trying to do, as a company, is to help free up developer, so they have the right tools to do the best job, and they’re doing what they do best and love to do, and that’s just writing code.

So, in summary to your question of, “Where is the biggest potential for ActiveState?” – It’s around this whole category that we have created called Open-source Language Automation.

Customer Segments

Michael Schwartz: ActiveState is serving many large customers, but the market for programming language is a very horizontal market, probably every company on the planet can use it. Do you segment the market in any way?

Bart Copeland: We do, and we don’t. There’s two ways we look at the market. The first way we look at the market is, we think of the developer, and we think of the large enterprise – we’re constantly thinking about that.

At ActiveState, we talked about bottom-up and top-down. Bottom-up is, we think of the developer, and how do we create an experience for them, to be very easy for them to consume our products and use them in working with us quickly.

The top-down is, the developers using our product, bring it into an enterprise, they bring it to their boss, and they say to the boss, “I really like to use the ActiveState platform in greater detail at the job.” That’s the top-down, it brings in the decision-maker, it brings the buyer. So, that is one way we look at the market.

The other way we look at the market is, in terms of verticals, who has the greatest affinity for the types of solutions we build and sell. And historically, and going forward today, we’ve had a lot of success in obviously high-tech.

We’ve had a lot of success in banking and finance, we’ve had a lot of success in aerospace and defense, we’ve had a lot of success in insurance, and we’ve had a lot of success in manufacturing. Whereas we haven’t had a lot of success for example in healthcare, to give you an example where we haven’t had success.

But on the whole, though, we don’t do a lot of segmentations, because you’re right, it’s a very horizontal play for us. And what we try to do is, we try to make our softwares accessible to as many developers as we can globally. Throughout the planet, we have downloads all over the planet. The number one download is the US, and I think after that, our downloads are really big in China and Japan, and then, in Europe.

Hopefully that gives you an idea of how we look at the marketplace. And I guess, if I would really wear my marketing hat, we could do a lot more segmentation that we’re doing than we’re not doing.

Sales Motion

Michael Schwartz: So, drilling down into the team a little bit, how do you organize the sales effort for such a global market? And how is that sort of adjusted over the years?

Bart Copeland: The first thing is actually, the adjustment has been the same under all versions of ActiveState, or all chapters of ActiveState, 1, 2 and 3. The selling motion has been the same. The selling motion from a sales organization is effectively comprised of account managers, account executives, and customer success managers, and inside sales reps, and depending on where you are in the selling cycle, involves those individuals.

Typically, what happens, we — and I got the other aspect of sales engineers — we get a potential opportunity. Usually, it comes from a developer, or group of developers, using our solution within an organization. That then leaves to greater interest into, going from the free version to a paid version. That involves an account executive, with a sales engineer, they work together, and we do this all over the phone.

All our selling is done over the phone, rarely do we go on-prem to an organization. It’s done over the phone, or through a series of video conference calls. Then, relationship is made, a deal is consummated, all our deals are based on annual subscriptions. That’s a recurring revenue model. Once the deal closes, then it goes to our customer success manager.

The customer success manager with her team, their job is to make the customer successful. Then, there’s an account manager that is brought in to nurture and manage the account, and renew it, and work with the account, to help them in other areas of their business, where our solutions can help them. And that’s typically the cycle that we work on.

Now, that is for the Enterprise tier. One thing that I haven’t touched on, Mike, is that we, not only have an Enterprise tier, we also have a lower-tier pricing structures. We have five tiers, we have the Community Tier which is free, but then, we have the Coder Tier, the Team Tier, the Business Tier, and the Enterprise Tier.

For the Coder Tier, Team Tier and Business Tier, that’s handled by an inside sales group that deal with the smaller price point products.

OEM

Michael Schwartz: I noticed that you have an OEM license – is that a material part of your business? And how did that come about?

Bart Copeland: Yeah. If you look at our business today, at the enterprise level, about 50% of the revenue at the enterprise level is enterprise subscriptions, and the other 50% is OEM. So, the way it came about is that when you get a distribution supported from ActiveState, there’s two ways you can consume that distribution. One way is, you consume it internally, and you consume it internally for all of your internal Dev practices or Dev applications that are enterprise wide.

However, another way you can consume our distributions is, you bundle it with your product, and you sell that bundle to your end-users. For example, you may have a product that requires a Python language distribution to run your Python product on your customers’ systems.

Then, we OEM our language distribution as part of a bundle, and that’s how it came about. It’s a sizable portion of our business, the OEM portion.

Other Partnerships

Michael Schwartz: Are there other partnerships that you think are important to ActiveState?

Bart Copeland: So, going forward with the ActiveState platform, around open-source language automation, we feel the partnerships that are really important, it is right now looking at the whole landscape around CICD, around what GitHub and GitLab are doing, and what the cloud providers are doing, specifically AWS, Microsoft Azure and Google with Google Cloud platform, as well as we watch IBM Cloud, it’s kind of the number four cloud player.

Those are the three key partnerships. We’re looking at other areas that we are concentrating aggressively. I would say there’s another area, fourth area of a bunch of miscellaneous groups that we feel are important. For example, we feel it’s very important to play well in the whole RedHat ecosystem.

Another ecosystem we feel it’s important to play well is in the VMware ecosystem. Another very important area, which is more around standardization, is the Docker ecosystem, or the containerization ecosystem, to make it very easy to consume our distributions as containers.

Is ActiveState Open Core?

Michael Schwartz: You mentioned a few tiers of product – would you consider ActiveState distribution to be open core?

Bart Copeland: Absolutely, yes. If you look at what comes off of the platform, the ActiveState platform is all about building your language distribution, certifying it, and resolving.

So, when I say building, you decide which packages you want from the open-source ecosystem, you decide which of the language runtime you want to use from the open-source ecosystem. For example, to stick to Python, you want Python 3.7, you want 35 packages from PyPI, you bring that all, and that’s all open source.

We then build it for you, for the operating systems you care about. You have three choices: Windows, Linux and Mac. You build it for the operating systems you want. That then is created as a distribution, the core of the distribution is open core, because it’s relying on all the open-source licenses that exist, and we preserve that.

Once you build the distribution, then, we certify it, we check for any “dependency hell” issues. What I refer to as dependency hell, we check for any security violations, we check for any license issues that you may have decided as a user, there’s certain licenses you don’t want.

The other thing we do is, we resolve any issues that come up automatically in the background. You’ve got this distribution on the ActiveState platform, and the result is, the dependency breaks or there’s a CV threat – we fix that automatically and we alert you.

Where I’m going with this in the spirit of your question, all of that is still open-core. It’s all based on all the open-source ecosystem, but the platform itself is closed-core. That’s the closed proprietary layer on the outside.

Pricing

Michael Schwartz: Over the years, have you significantly adapted your pricing strategy, or has it been relatively stable? Let’s just talk about the distributions, what you’re still in.

Bart Copeland: The distribution business has been relatively stable. The key thing that’s different is, historically, we’ve been distribution as-a-service. You come to ActiveState, and we provide you a distribution as-a-service. Now, we’ve evolved the business, where it’s, you self-serve with the platform and build your own distribution. It’s a software-as-a-service solution.

The pricing for the most part is the same, but we’re offering a lot more for the same price now under the ActiveState platform.

Open Source With A Third-Party Project?

Michael Schwartz: One of our guests previously made the case that it’s better to sell open-source software that someone else writes because, otherwise, you are funding engineers who are basically not billable – would you agree with that?

Bart Copeland: Yes. But I think you have to find a fine balance. Because, if you are always taking and not giving – that’s not good. From my perspective, you have to have a very fine balance of how you’re dealing with the open-source ecosystems.

Language Support Roadmap

Michael Schwartz: There are new programming languages every year, it seems. I’m guessing if you’re a new programmer, you’re not going to start learning Perl or Tcl – has that made these products more valuable, maybe as you face less competition in the tools market?

Bart Copeland:  I believe it makes it worth value for two reasons. The first reason is what you mentioned. It is that we have a lot of legacy languages that we support, it is very important to the enterprise. Because, for example, and some of your listeners may laugh at this, is that we support today Perl 5.12.

We have Perl 5.28, but we have enterprises, we have applications and production, and we support 5.12 for them, because it’s easier for them, if we support Perl 5.12, to migrate to 5. 28.

So, in that sense, that’s very valuable to us and valuable to our customers. But at the same time, the same customers are saying, for new applications, for greenfield applications, we need to use the new languages, and can we go to ActiveState to get the new languages.

Our goal eventually, with the ActiveState platform, is to support any language that our customers want to use. We’re not there yet, but that’s the vision for the ActiveState platform.

Michael Schwartz: Which languages do you think you’re maybe in sooner than later?

Bart Copeland: Great question. Right now, we’ve got Perl, Tcl and Python. On a roadmap for coming up here is Javascript, and Ruby, and Java. And then, most likely were looking at PHP, R, Elm, Rust – these are some of the languages that are on our radar.

Team

Michael Schwartz: Can you talk a little bit about your approach to building the team? Does location weigh into the hiring equation, or are you willing to use remote people?

Bart Copeland: That’s a really good question. My philosophy is, we go where the talent is, we don’t force the talent to come to us. So, we are a company about — what is it today — think about it, just under 2/3 are head office in Vancouver. But I think it’s getting closer to 50%. The other 50% are distributed throughout North America.

Our philosophy is, as I said, we go where the talent is. And as a result, especially on the development side, we are hiring developers, wherever the talent is. We have developers spanning four different time zones, from West Coast all the way to Halifax, which is one hour further than the East Coast time.

But we tried to bookend it within those time zones, because we haven’t yet expanded to either the Asian market or the European market, just because of the collaboration. We wanted to be able to collaborate in real time. We use Slack aggressively as an organization.

So, the answer to your question is, we are very open to a distributor organization. We think we’re doing a really good job of managing a distributor organization. There’s a number of things we do to include all of our virtual activators. We call ourselves activators at ActiveState. And we refer to our remote activators as virtual activators or remotes.

Here’s some things we do to make them feel inclusive. We use Slack aggressively. Most of our Slack channels are all public within the company, so everybody can see what everybody’s doing. There’s freedom to lurk, there’s freedom to participate.

We have regular company meetings once a month, with the entire company, with video on. We also really encourage video meetings all the time. Every morning, all the teams, various teams have daily stand-ups, the agile methodology, all those daily stand-ups are done with video or a video conferencing.

We also try to have all our activators, at least twice a year, come to head office, so we fly everybody in. We have them all together, so they can build relationships and cross-pollinate.

Also, many tech companies have a lot of nice fringe benefits, like free drinks, free food, we bring in a warm lunch every Friday, we call it “free-lunch Friday”. Unfortunately, our remote activators don’t have access to that, so what we do is, we send them a food package once a month with Amazon Prime — and I’m not sure exactly how we do it, I’m not involved with it myself — but we actually ask them what they would like and we arrange it in an Amazon Prime, and we deliver it to their homes.

And the other thing we do is, various members of the remote team fly up on a regular basis to interact with the head office as well. These are some of the things we do to promote inclusive environment, and also needs to grow. Because it’s very hard, given the type of work they are doing, to find all that talent in Vancouver – I would say it’s impossible. It’s not very hard – it’s impossible.

Balance Free And Paid

Michael Schwartz: As a sort of Python hacker myself over the years, I’ve been on the ActiveState site a number of times, looking at code examples – how do you choose which efforts to invest in? And how do you invest, I guess the R&D or community work that you do – how do you prioritize it?

Bart Copeland: It’s a really good question. I don’t have a good answer for you on that. At the end of the day, we have to find a balance between investing in developers and solutions for developers and meeting their needs, and balance that with ultimately the enterprise, because they long-term pay the bills. And we need a healthy balance there.

One of the things I should touch on, Mike, is that, if you look at ActiveState through its entire 20-year journey, there’s something common through that 20-year journey. And that commonality is as follows: every single product has been based on open source. Every single product has been built and designed with the developer in mind. 

And every single product has been built with a developer and the enterprise in mind. If they take the intersection of those three, that’s our sweet spot, that’s where we make money. We’re constantly trying to find the balance because we are a company that’s growing organically.

We don’t have outside money, we have to rely on our hard work and creating a happy balance between developers, who don’t want to pay for things, which we’re fine with, but finding and giving them those solutions that they’re free to use, and then find that happy balance with developers and the enterprise who are prepared to pay for what we offer.

How Far Do You Forecast?

Michael Schwartz: So, you’re 20 years in, which is not something a lot of tech companies can say – how far do you look ahead to the future? Are you looking 20 years out?

Bart Copeland: I look in three to five-year timeframes. Because if you look at ActiveState history, under ActiveState 1.0, we were focused on Perl, the high-rapid growth of Perl, and with the anti-spam problem under ActiveState 2.0, again we were focused on language distributions, and we were focused on the whole cloud computing space, and specifically for us, platform-as-a-service.

Now, we’re focused on open-source language automation and helping make software really work well for developers in the next three to five years.

Because tech moves so fast, the industry is so vibrant and so exciting. And I often say to younger developers, younger people getting into tech – because I’ve been it now for 30 years– I say, “We are still in the early innings. We’re like an inning 2.”

If somebody said to me this is a 100-year cycle we’re in right now in tech, and we’re still in it 20 years or so, we got a lot to do. It’s just starting to get exciting. I’m kind of looking here, I’m at the

the latter part of my career, and I’m looking at my two young sons, who are just starting their careers, and I want to do it all over again.

Because I think it’s going to get even more exciting. But the point I’m trying to make here, Mike, it’s very hard to look beyond three to five years in my view. We, right now, are focused on this audacious goal of building a platform for open-source runtimes and specifically solving the problem around open-source language automation. That’s our focus, that’s a three to five-year plan. We’re going to deliver on that, and then we’ll regroup again.

Bootstrap Governance

Michael Schwartz: Quick question on governance. As a bootstrap company, do you have a board of directors? What does governance look like in a bootstrapped company?

Bart Copeland: Bootstrap company, by definition, that means we’re a private company. So, the company is owned by its employees and some key shareholders. And I believe in good corporate governance, and there is a board. The board is comprised of some of the key shareholders – it’s a very small board.

I think it’s important, as a CEO, that you get external advice, so in addition to having a board, because that’s one form of advice, I have a group of advisers that advise me as well and advise my leadership team.

And I think that’s very important. I think as a bootstrap company, you shouldn’t do things in isolation. It’s very important that you have individuals that are not in the trees with you, and they can constantly spot and say, “Hey Bart, have you considered this, or what about that?”

There’s four of us on the board. And then, I have three other advisers, who are not part of the board, but advise me one-on-one.

Advice For Open-Source Entrepreneurs

Michael Schwartz: Last question. Any advice for new entrepreneurs, who are launching a business around an open-source software project?

Bart Copeland: Oh, that’s a good question, Mike. I think there’s a general advice, and then there is advice specific to open source. The general advice that I give — and I do a lot of Angel Investing with young entrepreneurs, and invest in small promising individuals and companies — the advice I give is, persistence, and perseverance and focus.

If you believe in something, stay at it. Don’t lose your focus. That doesn’t mean you shouldn’t pivot, but if you look at people who are successful – it’s about perseverance and persistence. That’s the general advice.

As far as open source is concerned, I think my advice is, I love open source. It IS the future. When I first started an open source, people were saying, “This crazy. Why are you doing open source? There’s no future in it.” Now, open source has one. There’s so much power in collaboration in open source.

My advice is, if you are not using open source, then there’s something wrong with your company. You should BE using open source. It’s the way to go. It is the de-facto standard to build a great organization.

Michael Schwartz: Bart, that was fantastic. Thank you so much for joining us today.

Bart Copeland: Thank you, Mike, it’s been great.

Michael Schwartz: Thanks to Bart and the ActiveState team for making this interview happen. Thank you, thank you to the Open Core Summit team for giving us a table at the event to promote the podcast, and for giving up their sponsorship room a few times, which was the quietest place we could find to record.

Please, support the event. We need more events like this to grow the industry and to share our experiences in person.

Transcription and episode audio can be found on opensourceunderdogs.com.

Music from Broke For Free and Chris Zabriskie.

Audio editing by Ines Cetenji.

Production assistance and transcription by Natalie Lowe. Operational support from William Lowe.

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Next week, we have Ben Golub from Storj, who will take us through the first open-source, blockchain business model.

Until then, thanks for listening.

Loris Degioanni is the Founder and CTO of Sysdig, a platform for cloud-native visibility and security for workload production. In this episode, Loris discusses how his past entrepreneurial experiences have helped shape a successful business at Sysdig.

Transcript

Intro

Michael Schwartz: Hello and welcome to Open Source Underdogs. I’m your host Mike Schwartz, and this is episode 35 with Loris Degioanni, Co-Founder and CTO of Sysdig.

For you, older geeks out there, Loris is a legendary technologist who is one of the authors of Wireshark, a tool, which used correctly, could seem like black magic to layman. So, hearing the voice behind Wireshark is probably reason enough to listen to this episode.

Sysdig has raised over $120M on revenues of $30M, employees around 200 people, so to say that they’ve been successful for a company founded about six years ago is an understatement.

Loris has some unique metaphorical advice for entrepreneurs at the end of this interview, so make sure you hang in there. Enough of my blabbering – let’s get on with it.

Loris, thank you so much for joining the podcast today.

Loris Degioanni: Thank you for having me.

Origin

Michael Schwartz: What was it about Cloud Native infrastructure that gave you the idea for Sysdig?

Loris Degioanni: This is actually sort of a long story. Cloud Native infrastructure is, in my view and in terms of the rationale and motivation to Sysdig, just an inflection, one of the many inflections and radical changes in computer architectures.

We’ve seen several of them in the last couple of decades, the switch from physical servers to virtual machines, the generated arrays of VMware and similar companies, the evolution of virtualization into public Cloud, like Amazon AWS and so on, and most recently, the birth of containerization and modern application orchestrators like, for example, Kubernetes, created by Google.

Each of these big radical changes in the ecosystem typically require to reinvent the functionality that was available before, because the whole ecosystem needs essentially to update to the new paradigm. That’s essentially what I’ve done when I started Sysdig.

I essentially reapplied my previous experience in open-source and commercial products, and I just tried to make something that would be perfectly suited for the new world of cloud computing and Kubernetes.

To give you a little bit more context essentially, I come from a background, I’ve done computer networks and network packet capture for the first 10 years of my career, started in 2000. In particular, my first company was called CACE Technologies, and was behind an open-source packet network analyzer called Wireshark that essentially reshaped the industry of being able to essentially capture network traffic and look into networks.

That company was acquired in 2010 by a bigger company called Riverbed. When I was at Riverbed, I became the CTO of one of their business units, and I was in charge of the product roadmap for the business unit that was doing visibility and performance management for networks and applications by using essentially network packets and so on.

I realized that despite the business going very well, the world was changing, and so, I tried to essentially reapply what I did in open source and commercial, in the previous generation to the new world of Cloud Native and Cloud Computing. That was the summary of the basic reasons why I started Sysdig.

Project Or Company First?

Michael Schwartz: When you started Sysdig, did you start by writing some tools? And I’m wondering if a community coalesced around those tools from the beginning.

Loris Degioanni: Yes. And again, I’m going back, and I will do it probably multiple times during this podcast, to my previous experience with Wireshark, with network packets, because there are several parallels.

When I started my first company, essentially we already had Wireshark, and even before that, a network packet capture for Windows as strong established open-source projects.

That allowed us, me and my co-founders to bootstrap a business in a way that was very efficient, with minimal cost, and allowed us to create a brand and reach a pretty substantial market by just essentially having a very strong and very visible open-source property that was very relevant for our class of buyers.

In that first experience, first myself, and other people in that community that then started the business with me, operated the open-source tool and worked with the community for many years before we started a business.

When I started Sysdig, my second company, I definitely tried to leverage as much as possible the learnings, and in particular, I already knew how effective an open-source tool, adopted by the broader community, would be to bootstrap an enterprise and infrastructure company.

When I started Sysdig, I was in a different situation because I didn’t have an established open-source property, but I decided essentially to create one, to leverage its properties to successively create a business.

First, you need to make something useful. And you need that to be useful enough that people at least want to install it, try it, use it, maybe use it in production. And that both is validation for your idea and also as your initial source of marketing, visibility, lead generation and so on.

What I did with Sysdig was, essentially the basic idea was like what I was doing before with packets was going to be irrelevant because packets as a data source are not accessible anymore when you have, for example, virtual machines instances that are running on Amazon AWS.

You just have machines that are floating on somebody else’s network or infrastructure. You don’t really have access to the router for example to extract these packets to get inside.

Similarly, when you are running containerized infrastructures, based on Docker or Kubernetes, you have these many, many little elements that are pretty opaque, and you cannot really see what they’re doing from the network point of view.

I created a technology that would allow people to gain these insights again, by essentially sitting in the operating system, like for example Linux, and collecting signals, like system calls from this operating system.

Long story short, I sort of came up with a technology that would work again and reestablish that kind of visibility. By doing that, I stumbled into something that would have quite a bit of value for the community.

I decided to release this technology initially as open source, to create essentially a tool that would gather a community around it.

This was in 2014/15, so the very first release that we did of Sysdig was bringing these technology as open source to the community. And to the point Sysdig was born, and to the point the community noticed us, and to the point we started having people talking about us, we started having people installing our tools, and that was how Sysdig was bootstrapped.

Products

Michael Schwartz: I see. So, Sysdig, the company, actually predated the first release of the software?

Loris Degioanni: That’s correct. Sysdig was incorporated a few months before the very first release of the software. Then, of course, the company created a bunch of commercial tools on top of the Sysdig technology. But the timeline was, company started, open-source Sysdig released, and then, commercial products came like two years later.

Michael Schwartz: Sysdig has several product offerings delivered both as software and as-a-service. Today, what are the most important products from a revenue perspective, and which products do you think have the greatest growth potential for the future?

Loris Degioanni: I was saying before I’m going back again to the analogy of network packets, and if you look at network packets, they are a very rich and powerful data source, on top of which you can build many different things.

On top of network packets, you can build a router, a firewall, an intrusion detection system, a forensics tool, performance management tool, visibility monitoring. It is just because packets are data source that is a very horizontal, very rich in content, and typically pretty straightforward and lightweight to collect.

As I was saying before, with Sysdig, the original technological advancement that we did was inventing the new data source that would be similar to packets in terms of properties for Cloud Native in the next generation, which means that similarly to packets with these data source, you can create several classes of tools.

Sysdig in particular has multiple open-source solutions and multiple commercial solutions built on top of them. In particular, from the open-source point of view, we have Sysdig, which gave the name to the company, which is a command line open-source tool that is comparable to like TCPdump or Wireshark, but for modern cloud-based Kubernetes-based infrastructures.

Then we have a tool called Falco, which is a rule-based intrusion detection and runtime protection tool, which I often compare to open-source tools like Snort, or Suricata, but for modern Kubernetes environments.

Falco and Sysdig are completely open-source and are completely community-oriented. On top of them, we’ve built two commercial products. One is called Sysdig Monitor, and it’s for visibility, performance management, alerting, dashboarding, and so on.

The other one is called Sysdig Secure. Sysdig Secure is a bunch of functionality to essentially protect modern workloads that are based on Kubernetes, including forensics, including runtime detection and protection, including vulnerability management and image scanning, and many other things.

Michael Schwartz: Do you bundle those two together, or do you sell them individually?

Loris Degioanni: We bundle them together. Of course, you can buy them individually, but the majority of our customers buys them together.

Michael Schwartz: With regard to cloud, or as-a-service delivered vs. software delivered – which one is more important to you?

Loris Degioanni: I would say equally. As-a-service is the future, is our preferred way to deliver our product to our users. At the same time, Sysdig has many enterprise customers.

Actually, we mostly serve as target customer demographic enterprises, like financial, healthcare, media, and so on. As you can imagine, the SaaS model is something that everybody aspires to follow in terms of vendors, but some of these customers are still not ready for that.

As you can imagine, a substantial portion of Sysdig’s biggest customers’ demands from us software that they can install in their data centers.

License

Michael Schwartz: The commercial tools – are they commercially licensed, or is it just a commercial’s binary?

Loris Degioanni: These are commercially licensed. Essentially the model that Sysdig is following is our core technology, and some of our core pieces of functionality are open source.

I was mentioning Sysdig and Falco before. Those are part of our commercial offering, but at the same time, the commercial offering, instead of just being like licensing and support for our open-source tools, tries more to create bundles that include some of our open-source technology and orchestrate it to work essentially at large scales, and complements it with some proprietary functionality that we’ve built on top of that, which includes both pieces of functionality that are missing in the open-source offering, and workflows and user interfaces on top of everything.

Open Core

Michael Schwartz: Would you say it’s an open-core business model?

Loris Degioanni: I would say Sysdig is a unique open-core model. It is open core, but, for example, I do not compare it to — I have no idea – your typical MongoDB. There’s open-source core is more like a relatively small piece of a broader offering, rather than just the core of what we do. This is by design, by the way.

I always found it a little bit challenging to just commercialize what we’ve built in open source because you tend to pretty quickly fall into the dynamic, by which you’re always thinking about every new feature that you build.

Should I open-source it, or should I “make money” out of it. And I typically don’t like to be in the situation. I like to have the freedom, to have this choice to take every time. I prefer to build stuff where there’s a more clear demarcation between what’s open-source and what’s commercial.

They work more like together in symbiosis, rather than being an extension of the other one, and you have more space to evolve two sides in a less, let’s say, stressful way.

Go All Open Source?

Michael Schwartz: Yes. Would you say then that it’s more tools, where certain tools are open-source and certain tools are commercial – and that’s how you draw the line?

Loris Degioanni: Yes. Tools and also use cases based on these tools.

Michael Schwartz: One of the things I have recently observed is Cloudera, the database company, and also Chef, have gone to a model, where they say everything is 100% open source.

Has this changed your thinking at all about maybe whether to open-source or not certain components?

Loris Degioanni: Partially, from one point of view, there’s the dynamic that you’re describing, which I’ve definitely noticed.

On the opposite side, there’s some other companies struggling a bit to decide exactly what their posture should be, in particular with regards to cloud providers like AWS, taking maybe their software and packaging it for the users.

Elastic was one of the most recent examples of that. I think that there’s no perfect mix, there’s no perfect approach. I think that every product is different, every ecosystem is different, every company is different.

Again, from our point of view, more than looking at what other companies are doing, which we definitely do and we take it into account, we try to do our best to find out what’s best for our users first, and then, what allows us essentially to grow our business.

Material Benefit Of Open Source?

Michael Schwartz: Do you think that open-sourcing of the some of the software has materially benefited the company?

Loris Degioanni: Absolutely. Has and still is material benefit in the company. One example that I can bring is, I mentioned Falco, as one of our core open-source initiatives. We’re putting quite a bit of focus around it because, as I was telling you, there’s an exploding ecosystem, the Kubernetes one, which is more and more shaping to become the operating system for the cloud.

So, the platform on which everybody will build their applications in the future. One thing that is interesting is that Kubernetes is really gaining a lot of traction, and nowadays is essentially been adopted by all of the major product vendors, because it was an open effort.

It was designed to be this kind of lingua franca, completely community-oriented, completely open-source to build your modern applications.

We at Sysdig strongly believe there’s the strength of Kubernetes, and every single component and piece of functionality in Kubernetes eventually will be community-oriented and will be open source.

That’s why we did something that is not super common in the security industry. We started open source first. Security industry, compared to other industries, is still quite a bit more protective and a little bit more proprietary in its approach.

But in Sysdig, we just decided, “Okay, first would be the tool.” It will be Falco. We try to make it part of the ecosystem, we try to make it part of the Cloud Native computing foundation, and we do our best to make it part of the stack.

This is, of course, with the goal of providing value and functionality and security for the broader community, and there is something that can be like a standard, a part of the stack in the future. But, of course, doing that also made us very quickly one of the key players in Kubernetes security as a company.

Despite us giving to our community this important component for free, it’s also helped us essentially grow our revenues in the space. So, yes, this has been very useful for us as a business.

Michael Schwartz: Attaching to this really fast-growing ecosystem and becoming part of the stack had a huge marketing distribution advantage for you.

Loris Degioanni: Yes, and attaching to an ecosystem like this is only possible if you’re truly community-oriented right. That gave us an advantage, compared to our competitors, and is allowing us to grow faster than our competitors in that space.

Is Open Source Value Perceived By The Market?

Michael Schwartz: You made an interesting comment about security not always being open source.  I don’t know if you know but my company is in the identity security area, and we’re open source.

I was just reading one of the S-1 of our competitor, Ping Identity, who’s going public, and I did a text search for open source and their S-1, and the only reference I could find to it was a mention of the risks of open source software, and how the use of open-source software might come back to hurt them in the future, and therefore was a risk to investors.

Do you think there’s a disconnect somehow between investors’ perceptions of open source and the reality that you see as a technical professional using open source?

Loris Degioanni: I think that traditionally, for sure, in the investment community at any stage, starting from seed to going public, there’s been skepticism in the investment community.

There’s been skepticism because one of the things that many people say is that open source has generated less winners than expected, and not a lot of these winners have become really, really big. We could argue with it, but I’m just reporting what I’ve heard several times in the investment community.

At the same time, I am seeing more and more investors becoming sophisticated, becoming smarter, understanding what open source means, actually supporting it. I can, for example, make two examples that are extremely close to me.

I have two investors that bet on Sysdig pretty early on, Bain Capital Ventures and Accel, and in particular, my board members, Salil Deshpande, and Ping Li, and Eric Wolford, from these two firms – these are really strong open-source believers that really understand what an ecosystem means, are able to drive it, have a track record of generating successes with open-source companies.

The investors are there, the mindset is changing. I’m seeing, even just recently, multiple funds, these funds being created to focus specifically on open source. I think that the enterprise space, which is the one where Sysdig operates, is particularly ripe for disruption from open source.

I think that despite things not probably being where they should be, they are changing quite fast especially driven by a group of people that are leading the charge. In the future, we’ll see more and more of this, exactly for the reason that you just mentioned.

Open source will become, even more than now, the approach that dominates the software industry, and software is becoming more and more important. So, there’s no escape. The winners will be generated, existing players will be disrupted, and sometimes, it takes a long time, but it always has effects.

Challenges For Open Source Companies?

Michael Schwartz: What do you think are some of the biggest challenges today for open-source startups?

Loris Degioanni: Since we were just talking about funding, related to that is business model. I think that in some verticals, for example databases, we now understand the open-source model, like the go-to-market model pretty well.

We witness MongoDB, Elastic — there’s many of them, Cloudera — we witness to many success stories that essentially leverage sort of a similar playbook, or at least a variation of two or three playbooks.

In those verticals, where the playbook is understood, I’d not say straightforward, but it’s pretty clear how you approach this – open source is everything. Open source is much more than databases, and ranges anywhere from the operating system to user interface stacks, or JavaScript stuff.

I feel that in many of these areas, the go-to-market motion is less established, less proven and still requires a lot of creativity and experimentation from the founders, which also means that at the beginning, the open-source model can be relatively expensive to fund.

From one point of view, you’re focusing on your community, and that takes work, especially when you’re a small team, and takes focus. You have to do that, which means that you’re investing upfront, and you’re spending time and money upfront, have to essentially figure out the approach to market and the business model.

In my opinion, having bootstrapped, two open-source companies – that’s also the most delicate and the toughest part of the journey.

Challenges For Entrepreneurs

Michael Schwartz: One last question, because you have started two businesses, and I would’ve imagined most people who started one would know the dangers and emotional roller-coaster of that journey and not want to do it again, but do you have any advice for entrepreneurs that people going through that process of starting a business and not only starting a business but starting using open source?

Loris Degioanni: I wish I was able to say something magic that teaches people how to do this. I think that the only thing that I learned about, especially about the very, very early stages of a company is don’t give up, it’s really inch by inch.

Celebrate every little small success because that’s how you survive. You will get a thousand punches for every little success that you have. You need to cling to those because it is really a game of inches. It’s just the way it is.

And number two is, jump in the pool on the deep end, in the pool with sharks, and this is the best way to find out if you can swim or not.

I think if there’s something that makes me different from other people that maybe have not started company or have not been successful, that is, I just do it to survive. And yeah, we’ve seen what happens with Sysdig because it’s still relatively early in the life of the company.

But at the same time, Sysdig has over 200 people now. So, it’s a pretty decent-sized organization, and I still try to learn how to swim even at this stage.

Closing

Michael Schwartz: Thank you so much, Loris, for sharing some of your thoughts today.

Loris Degioanni: Thank you very much for having me. It was fun and pleasure.

Michael Schwartz: Thanks for the Sysdig team for helping to organize and promote this podcast.

Transcription and episode audio can be found on opensourceunderdogs.com.

Music from Broke For Free and Chris Zabriskie.

Audio editing by Ines Cetenji.

Production assistance and transcription by Natalie Lowe.

Operational support from William Lowe.

Have comments? Tweet at us. The Twitter handle is @fosspodcast.

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Next week, we have Bart Copeland from ActiveState, another legendary company in the open-source ecosystem. Don’t miss it!

Until then, thanks for listening.

In this special rebroadcast episode, we revisit the conversation held by Adam Stacoviak, host of The Changelog, the renowned podcast for developers, and Donald Fischer, Co-founder and CEO of Tidelift. Tidelift offers subscription-based support and maintenance for open source dependency applications, powered by the project’s maintainers themselves. In this episode, Adam and Donald discuss Tidelift’s mission to elevate open source software by supporting both the users and maintainers of open source projects.

Transcript

Michael Schwartz: Hello, and welcome to Open Source Underdogs. I am your host, Mike Schwartz, and this is episode 34, featuring an interview with Tidelift Founder and CEO, Donald Fischer.

Tidelift’s mission is to pay the maintainers of open source software, including the developers who maintain libraries buried deep in the stack.

They have a brilliant and simple way how to do it. This is a really special episode of Underdogs because we’ve been given the opportunity to rebroadcast one of the best open source podcast teams out there.
If you don’t know The Changelog, it’s an epic podcast with currently more than 350 episodes. The hosts are Adam Stacoviak and Jerod Santo.

I’d run into Jerod at the Open Core Summit this past September. This episode is Changelog #324, which itself is a rebroadcast of the related broadcast Founders Talk, which features in-depth, one-on-one conversations with founders, CEOs, and makers.

Founders Talk is hosted just by Adam. He asks all the questions that I would have asked and adds more.

A big thank you to Jerod and Adam for sharing this interview ad-free. Thanks a lot, guys. Without further ado, here we go.

Adam Stacoviak: What’s it like to be on a mission of making open source software better, for everyone? Donald Fischer is one of four co-founders and the CEO of Tidelift. Their mission – to pay the maintainers; to pay the maintainers of open source software and provide a new spin on the highly successful business model that’s a win/win for the maintainers, as well as the software teams using the software… So I asked Donald what’s it like to be on this mission.

Donald Fischer: It’s amazing, actually, to be on that mission… And it sort of naturally is an outgrowth of everything I’ve been working on for the last 15 going on 20 years, actually. I’ve built my career in and around open source, in a couple of different ways, and so when we saw this opportunity to sort of contribute something new to the equation with Tidelift, we decided we had to go for it, because we saw the opportunity to create a new win/win scenario for all kinds of different stakeholders in and around open source.

Adam Stacoviak: I wanna go back into your past and figure out what got you here. What makes you and the rest of the team at Tidelift the team that can make this happen? Help me understand more about you and Tidelift and what you’re doing.

Donald Fischer: We’re building a methodology with software, and a set of practices to help professional software teams make better use of open source software, and the way that we do that is by helping to address a bunch of pragmatic concerns that professional software teams have with the software that they use.

That’s in areas like security, licensing and legal issues, just everyday ongoing maintenance… And the way that we address those problems is really what’s new with Tidelift. We do it by partnering with the individual open source maintainers and teams of maintainers who work on open source projects, and we kind of ask them to provide these professional-grade assurances for their individual open source projects or components.

Then what Tidelift does is we basically join those together and we represent them to these professional software teams as a whole product. In so doing, we essentially address two different challenges. One is that professional software teams – they need support, they need maintenance for the software that they use, whether it’s open source or not. And on the other side, it creates this economic opportunity for open source maintainers to do something that’s very closely related to the ongoing development of their software, and something that they’re best equipped and best situated in the world to do, but now for the first time for many of them, they can do that in a context where there’s an income associated with it, and an income that scales.

Adam Stacoviak: To kind of give some – maybe I’m speaking for you in some sense, so help me course-correct what I’m saying and make sure it’s accurate, is you did a lot of interesting things with Red Hat, there’s a lot of things you and some of your team members have learned from the experiences of Red Hat, and obviously, Red Hat is one of the most successful with supporting paid versions of open source, and support, and things like that.

Are you bringing a lot of what you’re doing now from your experiences with that? Is that safe to say?

Donald Fischer: Yeah, definitely.

I had the privilege of being part of the early development of Enterprise Linux at Red Hat, and all my co-founders also had tours of Red Hat around the same time; we all knew each other back then and worked together and stayed in touch since then.

But honestly, what we’re doing now is also informed by an awful lot of other experiences, in other open source communities and commercial ventures around open source communities; it’s not just a Red Hat copycat, it’s actually – if you want to put it in reference to Red Hat, it’s almost a generalization or an evolution of the Red Hat business model.

Adam Stacoviak: Yeah, where like their focus was one single open source project and one right way to scale it, to enterprises, and support, and all the things that everyone’s aware that Red Hat does – you’re doing it at scale across open source.

How do you make the decisions then to choose which projects to work with?

How do you determine what matters? Do you go to the community and say “Hey, which maintainers should we work with?” or do you go to the maintainers and say “Which maintainers of–” and maybe you’re even agnostic – not just JavaScript, not just Go, not just Rust, or other languages… How do you even choose where to place your focus?

Donald Fischer: Ultimately, remember that the way that we frame our solution is that we’re solving real-world problems for professional software development teams who are already building with open source components, but don’t have the kinds of safety net assurances that they would expect traditionally from enterprise software vendors.

So to your question of how do we choose which open source projects and maintainers to engage with, actually our subscribers choose; the customers of the Tidelift platform – they essentially direct us towards the maintainers who are best suited to participate in Tidelift. There’s a mechanism for doing that whereby we’ve built a software platform that attaches to the software development process at our customers, it sort of integrates with their code collaboration platform, sort of in a similar way to how a continuous integration system would connect, and we look at the open source components that our subscribers are using in their projects, in their applications, and then we go and recruit the open source maintainers of those projects to provide professional assurances around them.

So we just kind of follow where our customers are voting with their feet, so to speak.

Adam Stacoviak: And potentially their money too, since it’s a subscription.

The word alone elicits that there’s some sort of recurring payment into some sort of system that’s monthly, yearly, biannually, or whatever that might be; some sort of commitment on the long-term (or some sort of term) that says “We wanna use enterprise-level type software that’s open source, that includes support, includes SLAs (or whatever they may be needing) on a certain duration” and their vote is essentially participating in that subscription, but then saying “Hey, this is the software we’re using.

Can you go out and establish these relationships with those maintainers?” Is that how it works?

Donald Fischer: Yeah, exactly. So in other words, a customer of ours will subscribe to Tidelift for one of the applications that they’re building, connect to our software, connect to our software infrastructure. Now we have a lens into what are the actual open source components that they’re using…

Adam Stacoviak: Dependencies.

Donald Fischer: Yeah, I was about to say, not just the top-level components, but we look at the transitive dependencies as well, all of the packages that those depend on…

Adam Stacoviak: The entire tree.

Donald Fischer: Yeah, we build the tree.

And then the way that we’ve packaged it is we charge the subscriber a fixed cost for all of the packages in the Tidelift subscription. It’s sort of like a Netflix subscription in that way, where Netflix might not have every movie that you want to watch, but if it has a lot of the kinds of movies that you like, it’s gonna be interesting for you to be a subscriber; there’s always more movies joining the catalog.

So we sort of simplify it by charging one blanket subscription price, and then we bill the subscribers on a monthly basis for that. Then at the end of the month we take each subscriber’s payments for that month and we split them up and allocate them specifically to the participating maintainers of the packages that they use.

So a subscriber’s dollars only ever get directed to the participating maintainers for the actual packages that that subscriber is using, and that’s one of the ways that we align the interests up and down the system.

And if there’s not a participating maintainer for a particular package that the subscriber is using, we sort of note and increase the potential payment that would be available for a new maintainer who showed up and agreed to participate in the Tidelift system. So we sort of create an incentive for somebody to – we signal the funded incentive for somebody to come along and take us up on following through on those maintenance tasks around that particular package.

Adam Stacoviak: So if I’m a maintainer and I’m participating in this, my “income” or “revenue” generated from this style of funding for my project or my teams – is that number coming from Tidelift, does it ebb and flow then because of that? Or is there some sort of barrier or predictability they can have into how they can begin to step away for their full time job or do this full time, or whatever it might be? How do they understand the income that’s possible, and even not just possible, but on a day-to-day or month-to-month basis, how does it ebb and flow?

Donald Fischer: This is actually one of the fundamental reasons why we started the company, and one of the fundamental contributions that we wanna make – it’s really hard to dedicate your efforts on an ongoing basis to an open source project if you’re not sure what you’re gonna be paid tomorrow, or especially if your income is swinging erratically in terms of what you’re receiving related to your open source project. So our goal, in other words, is to make it a lot more predictable month-to-month.

It doesn’t mean that your income could never ever go down in the Tidelift system; as I said, we pay the maintainers based on subscribers using their software, so if all of a sudden none of our subscribers are using that software anymore, the amount could go down. But in reality, once software is in place, it tends not to go anywhere; just new software gets added.

On the other hand, we’re growing quickly, the audience of participating subscribers, so the total dollars in and the number of potential teams that might be using your project for any given maintainer is increasing. We think that what will practically happen as a result of this model is that open source maintainers will see much greater predictability and have sort of a steadier income to depend on, which is in contrast to some of the other existing models for funding open source projects that might be more episodic if they’re based on grant funding, or sort of bounty kind of mechanisms.

Actually, I think all of those systems are great, and anything that is funding open source is laudable and awesome, but we just saw an interesting opportunity to contribute another model that’s additive and incremental on top of those.

Adam Stacoviak: I wanna rewind a little bit back to the dependency tree that you mentioned, just for those listening who may not be intimately familiar with how software works, which leads into one of your acquisitions, and you can speak to that if you’d like to. But it just kind of helps to get a lens into the dependencies of dependencies; so when you have an open source project or just a project in general and you’ve got an application you’re building, when you use Vue, for example, on the front-end, well Vue has so many layers of dependencies beneath it that whenever you, as you mentioned, come into the platform, you’re scanning their dependencies, and it probably points out some opportunities to grow as you’ve mentioned you are.

But I kind of wanna just touch on that a little bit, because not everybody listening to this is that familiar with the software process and what dependency trees actually are, how deep they might go as dependencies of dependencies; Vue has tons of different things it relies upon, and all those things tend to be other open source projects that are probably not receiving funding or really have any sustainable model behind it, aside from maybe side work. Which is fine, that’s open source, but we’re looking for ways to make it enterprise-level and enterprise-grade, I’m assuming. Is that right?

Donald Fischer: Yeah, that’s right. The issue of the lack of appreciation or really understanding of how much software exists below the visible water line is really remarkable.

For example, we recently wrote on our blog about look at React – super popular web front-end framework, born at Facebook. If you go through the prescribed Hello World creating a new React application, using the very well-executed Create React App tool, you’ll end up with a sort of Hello World web app based on React, and that thing by default will have 1,103 dependencies as of the last time we that we looked.

So that’s over 1,100 distinct packages coming out of the Npm JavaScript package catalog. Those are coming from a lot of different places. A couple dozen of those are coming from being authored by the Facebook React engineering team.

But the beauty of open source software is that the vast majority of those are coming from somewhere else, from somebody else. But all of them are getting built into your React application.

So if you’re a professional software team at a large enterprise that has a bunch of goals around security and compliance or needs/requirements, things that you need to comply with, it raises a lot of questions about “Who’s on the hook to support all that stuff, and why would they be on the hook?” To which our answer is the best reason for them to be on the hook, or a great additional reason for them to be on the hook is that they’re getting paid to do the work to make those things true about those open source components. That’s really the meat of what we’re trying to do.

Adam Stacoviak: An example that – I’m not sure if you’re familiar with Nadia or not, but Nadia Eghbal, when we first learned about her was several years back, and we’ve since done a podcast with her called Request For Commits.

Donald Fischer: I’m a long-time fan of Nadia’s and the show. I recommend it to all of your listeners who have not yet explored those paths.

Adam Stacoviak: And it is retired, so when you go listen, just know that, and send us your hate mail; we wanna hear more of it, because we wanna do more around sustainability of open source, but that show just is in a retired state, for its own reasons. But the last episode does tell you why, so if you’re really curious, just listen to the latest episode.

But you know, she’d written about the economics of open source, and the example she used was the rate at which Instagram was able to become a billion-dollar company and then be acquired by Facebook – I don’t mean to keep going back to the Facebook well, it just happens to be that example. But Instagram was built on open source software.

Now, I’m not that intimate with the details of what they’ve given back to open source; I don’t know what Facebook’s involvement is, and they’ve since acquired Instagram, but that was the initial yardstick, at least by Nadia, on like, you know, Instagram was worth – the acquisition was like four billion? One billion? I can’t recall right now. It was like 4 billion dollars from Facebook, so somehow they got to that value and they were built upon open source software.

So going back to your model – we have this economic need of all these dependencies, and they would have never been able to get there building all the technology on their own. They had to lean on open source. So there’s a responsibility there to support the dependencies beneath the tree.

Donald Fischer: Yeah, there’s a couple different ways to look at it, honestly. One lens of looking at it is to say if you’re building on all of this software, you owe it to the creators to allow them to drive some participation in the value that they’re creating. First of all, I agree with that; I think that’s a very reasonable worldview. But it’s hard to get large organizations to open up their checkbooks for things that are purely morally justified.

One of the things that we’re bringing to the table with our model is we’re just inviting professional software teams to act out of their explicit self-interest, and we’re helping open source maintainers create a new service offering that didn’t exist before, that we’re seeing as very appealing to a lot of the professional software teams who are using their software. And again, the specific service that we’re helping put together is a community of maintainers who are proactively committed to maintaining the individual open source packages to a well-defined standard, and then Tidelift’s role in that is to sort of be the intermediating agent that helps all of those individual open source maintainers and teams connect to a particular professional software team in an organization.

We’re not asking people to buy a Tidelift subscription mainly because it’s a morally correct thing to pay the maintainers; we’re inviting people to buy a subscription because it’s in your best interest to pay the maintainers.

When you pay the maintainers, the software that you’re using is better and more reliable, and we’re adding some business process and technology to the mix that helps you kind of define what is meant by more well-maintained and reliable, and sort of gets everybody on a common, shared mission.

Adam Stacoviak: So you say “professional software teams” – I think I know what you mean when you say that, but put it in laymen’s terms for me and the listeners. What is a professional software team as it relates to what you’re doing with Tidelift?

Donald Fischer: When we say “professional software team”, we’re typically referring to a team building software within an enterprise.

Enterprise is kind of a silly IT word, or entrepreneurship business word; it means a company, and often times like a larger company. Again, I’ve spent the last 20 years in and around open source, so I know one of the beautiful things about open source is that it’s accessible to all different kinds of audiences.

If you’re an indie developer – I mean, I started working with open source, getting involved in open source when I was a student. There’s individual entrepreneurs kind of picking up raw open source and building with it. It’s awesome; it’s part of the beauty of the whole thing.

There’s also big teams inside of mega-corps that are building with open source as well, and those different audiences have different needs in and around the software that they’re using. When I’m doing a side project on the weekend, kind of cobbling together some open source components to sort of scratch my own itch, for sure I do not need an enterprise support contract, I’m not super-focused on intellectual property documentation for this thing that’s only ever gonna live on my laptop and never go anywhere. But when you have a team at a financial services company, or a healthcare company, or an industrial company, and they’re building the core software that powers those businesses, and in 2018 for sure they are building that with open source software, they would love to have some additional guarantees around that software.

So the open source software, by the open source definition, gives them a bunch of capabilities right off the bat for software that’s under an open source license. They can access the source code, they can change it, as long as they adhere with the different requirements for what they need to do if they redistribute it.

But the open source license doesn’t give you somebody who’s on the hook to make sure that security vulnerabilities that arise will be dealt with in a timely way. It doesn’t give you any certification around the licensing of all the components of the software that you find that are connected to that, or that are dependencies of that… And it doesn’t give you any kinds of assurances about what’s gonna happen with the software in the future – is somebody gonna keep caring for it, and taking care of this essentially living organism that the software projects need to be, as the world evolves over time?

Those are the things that we think that professional teams need, that not all open source developers need, but professional teams do need it, and as a result, they’re willing to pay for it. One of the things we’ve done in the Tidelift context is verify that by talking to a lot of those organizations, surveying a bunch of those organizations; we shared the results of a broad survey we did this year that said something like more than 80% of professional software teams were very interested in paying for those kinds of assurances around the open source software that they use.

Adam Stacoviak: Another aspect to the professional software teams I thought you used in this context was describing the teams creating the software, meaning the open source software. Did you use it in that context as well? Like, when you’re identifying who to work with?

Donald Fischer: No. The way that I’ve been using the terminology “professional software team” – I’ve been focusing more on the subscriber side in our terminology, or the consumers of open source software.

I actually think there is a really compelling opportunity on the creative side of open source to also, in a sense, professionalize there. And I wanna be careful about what I mean by that word, professionalize. Open source maintainers, whether they’re paid or not, it is demonstrably true that they create amazing software that is prograde, is used in real-world applications all over the place.

I guess a missing part of the “professional” definition there is that often times they don’t get paid for the work that they do, so it’s hard for it to be a profession for the individual open source maintainer.

So I do think there is a double entendre there, which is “We would love to help open source maintainers make it their profession,” and that’s really one of our ambitions with Tidelift – to enable more open source creators to dedicate more of their time to their open source projects, innovating the features and functionality there, also just like doing the everyday kind of maintaining it tasks. And if we, all of the users of open source, give them the license to do that, and the necessary financial incentives to do that, then we’re gonna benefit, because the software that we all use is gonna be better. It’s awesome.

Adam Stacoviak: The reason why I asked you that question in the opening was I’d heard you use it and I thought that your reference was essentially helping to understand the type of maintainers or type of teams that maintain software describe them. That’s how I thought you were using it in that context, which is why I opened up with that question. Because I wanted to understand more so like when you focus your attention on – I know that a lot of your subscribers are the ones that are leading you to, down the dependency tree which matters to them, because they’re paying for the subscription, and essentially, you said they’re leading with their feet. That it would describe the kind of teams that are good candidates to be a part of this, because they can provide the support, they can provide the other assurances that enterprise teams need to rely on open source.

Like you said, in 2018 it’s pretty difficult to build software today in any real capacity without using open source… So we have to find ways to support it, and I asked you that question to think that maybe you’re describing a type of maintainer, a type of maintaining team, their philosophy, the way they organize, the way they govern, what are healthy balances in there… I thought that’s what you were talking about, that’s why I went that direction.

Donald Fischer: Yeah, so just to comment on one really fun part of what you were touching on there – I think the really happy news here is that teams inside of larger enterprises that have the requirements for security, licensing, maintenance kinds of assurances around the software that they use. It turns out the software projects that they’re picking to build their new applications out of, the software components that they’re taking out of the package managers, they’re the same ones everyone else is using. They’re using the same components at a big bank that I’m using to do my weekend project.

So it’s actually a really nice situation, where if those professional teams are interested in paying for these additional assurances, the creators of those open source projects and technologies can access that income that’s associated with that, it gives them the license to spend more time on the projects that they’re creating, and then the improvements or increases in functionality – that can be shared by everybody, the payers and the non-payers. That’s actually one of the beautiful things about open source.

Adam Stacoviak: That’s why I love your name, Tidelift. That’s the underlying (to keep the puns going) current of what you’re doing here; you enable subscribers to lift the tide of everyone. Like you said, I could be using whatever the library may be that’s part of the Lifter project you have going on, which we’ll dig into more. If I’m paying and they’re getting supported, then I’m just enabling others to benefit from my subscription, and then therefore funding of those maintainers in those projects. I love the name, it’s spot on.

So we spent the better part of maybe 40-ish minutes kind of digging into the context. I wanted to go into more of the getting started, where the idea came from, some of the background even, which is sort of like the crux of what this show is really about. Which I love doing – a deeper explanation of what Tidelift is and what you’re doing there, for the better part of 40 minutes.

Let’s kind of rewind a little bit and just get a picture of some of your personal experiences, and maybe the experiences of other team members. But maybe let’s start off with back in 2017 when this began – from what I understand, you were in venture capital, you stepped away, you had this idea.

I believe this began with a fundraising round; I’m not really sure. Can you go back to those details and help pave the way for how this got started?

Donald Fischer: My personal history briefly is I started out as a programmer, I studied computer science.

As we talked about before, I had a really interesting tour at Red Hat starting in the early 2000’s, and was able to be part of the team, participating in building the Red Hat Enterprise Linux business there, which is really an amazing thing, that is I think often under-appreciated in the IT industry.

Adam Stacoviak: Absolutely.

Donald Fischer: Red Had as a whole is an over three billion dollar recurring revenue business now. It’s really a beautiful and amazing thing, and there’s a lot to be learned…

Adam Stacoviak: Did you say billion?

Donald Fischer: Yeah, three billion dollars a year in revenue.

Adam Stacoviak: Three billion… Just to make you say it twice, because that’s pretty big.

Donald Fischer: Yeah, it’s big.

And you know, it just steadily grows. It was an amazing time when – you know, I did not figure this stuff out myself, by the way, but as a team, and as an organization, we learned a lot of things about what (again) professional software teams that are using open source really need, and that doesn’t just come for free. And we’ve figured out a model that was appropriate for that set of technologies at that time, and it has continued to evolve to support a steady business today.

What I did after Red Hat is I’ve spent almost a decade as an investor, working with early stage founders who were starting and growing businesses around open source communities, and I chose to focus on that theme… Because I’ve personally just always been fascinated and sort of in awe of how open source communities arise. This phenomenon where technology will come from a creator or a small band of creators, and then a crowd of individuals will start to kind of assemble itself around that technology.

You see technologies sort of form these tribes, and when I say tribes, I mean in a good way… Not in a tribalism kind of way, but in a sort of…

Adam Stacoviak: A Seth Godin way.

Donald Fischer: …collective way, yeah. It’s really amazing.

You might join the Python tribe, or the Ruby tribe; or maybe it’s not a programming language, maybe it’s the deep learning tribe, or something like that, right? But it starts to become part of individual people’s personal identity, their professional identity. It’s really a powerful thing, so what’s always fascinated me is if there’s this fundamental energy around technologists sort of assembling themselves in these tribes – there’s so much power to it – and what are the opportunities to add a commercial component there.

The thing that I’ve always really focused on is not just how do you go kind of harvest that energy from the community, which I think is a very pessimistic way to view the world, but can you build a complementary business that sort of amplifies the energy in one of those communities that helps capture more resources to invest more aggressively into developing the technologies, or advocating, evangelizing the technology? How can you build businesses that sort of amplify those communities and make them even more successful, and make the individuals within them more successful?

I think there’s a really fortunate history of startups and businesses of different scale being built over the last 15 years now that do that, and that’s just been a phenomenon that I’ve loved to follow, and sometimes to be part of.

Adam Stacoviak: I think the important thing to draw from this is it seems to me that you’ve spent a lot of your life trying to find ways to support open source, and it’s either helping certain types of businesses build themselves around open source through venture capital and investing, and I’m sure in a lot ways leading product, because that’s also part of the investor’s role, is to be somebody who is an adviser to the direction of the business and the viability.

I think the other important thing you said there was that you’re the support, rather than – I forget the exact language was that you used, but essentially, you’re there to amplify versus to draw and take away from the energy. What was the word you used of how you’re not attaching to the community?

Donald Fischer: I think the language that I used was instead of trying to harvest energy from these communities, it’s like “Can you actually build an engine that contributes net energy back to the community, that helps it grow and become more sustainable, as opposed to sort of drawing energy off of it?”

Those are the really powerful companies, and also I think they help to form really powerful communities.

If you look at the different businesses that have been built around Linux, or different big data technologies, or core systems-level databases and things like that, if you can get a community going that has complementary and additive businesses, that’s a beautiful thing.

And to connect that to the story of Tidelift, I’ve been a student of that phenomenon for a long time now, and I’ve had the great opportunity to work with a number of other folks who are also fascinated by the same kinds of dynamics.

One of the things that annoyed me about the existing models for commercializing open source or building these complementary businesses around open source is that, you know, if you look at something like the venture capital model, where I was personally quite active, there’s only a relatively small number of open source projects or communities or tribes (if you will) that have enough scale to them for the traditional venture capital model to work.

Adam Stacoviak: Yeah.

Donald Fischer: There definitely are some… At this point, there’s several dozen substantial venture capital-backed companies that have been formed, are performing, several have gone public.

It is a model that works, but it only works for a really pretty small subset of open source in general. And one of the really interesting things to me is that it only works for a subset of the commercially relevant open source projects.

So I would often, as a venture capital investor, meet with entrepreneurs, open source creators who had projects, they had lots of real-world professional users – often times the users that they had were asking them for “Hey, can get a support contract for this, or a service-level agreement for it?” and yet they didn’t really fit the venture capital model of going and raising X million dollars and then building a company from scratch with all that that entails; building a sales force, a finance function, a way to handle subscriptions, a level one support team and so on.

So when I started talking to my co-founders, the gentlemen who eventually became my co-founders at Tidelift, we looked at that problem and that opportunity and we said essentially “What if we build that go-to-market mechanism, like the sales and support and finance, back office kind of stuff, what if we just build that once, instead of asking every open source project to do it themselves, and then just let the open source projects and teams plug into it?” Sort of like in the way that creators plug into Etsy.

You know, one of the beautiful things about these marketplace models is if you’re amazing at creating some craft good, you can go to Etsy, and Etsy helps you access an audience of people who are interested in your kind of thing, they handle all the payments, and the logistics, and customer service issues and so on, and you don’t have to go learn how to do all of those things. Etsy is kind of your partner for doing that. You get to focus on conducting your craft. That’s one of the things we’re trying to do with Tidelift – we wanna make it possible for open source teams who are building technologies that are used by these professional organizations to be able to access some of that potential energy and income that can be associated with that, without having to go become salespeople, or customer support people themselves.

We’ll kind of do that with you, in the sense of do that for you, as the open source creator; you plug into our infrastructure and you focus on making the open source project amazing. We’ll help with all the bunch of the business stuff.

Adam Stacoviak: These teams generally would still have to be the ones providing the service-level agreement, right? If I understand correctly, you may institute it and do the business-level side of things to ensure that there are subscribers that have desires to bring on certain lifters or whatever, but it’s still the lifter’s job – which is a term we haven’t defined yet, so maybe it’s a part of your response, to help me understand really what a lifter is, or what that role is there. Because they’re gonna have to eventually support that software, and provide the enterprise-grade stuff that you’re selling as part of the subscription. This whole general sales thing – that’s what the product is, it’s reliable, it’s supported, bug fixes etc.

Donald Fischer: The way that it work is that one of the things that we add to the equation by creating Tidelift is we are an intermediary between the professional teams that are paying for these assurances and the individual open source maintainers.

A couple benefits of that – one is that we turn a many-to-many relationship that would basically be impossible for every open source application development team to strike a business agreement with every one of those 1,100 Npm module maintainers that goes into their web app; we allow them to have one place to go, which is Tidelift, and then we sort of federate all of the participating maintainers behind that.

So we have a relationship with each of the paying subscribers, and then Tidelift also has a relationship with each of the participating maintainers. And what we ask the maintainers to do – it’s actually detailed on our website, for any maintainers who are interested in understanding what we propose in our model…

We ask maintainers to look after their projects according to a certain set of criteria. These are things like work with our security response team if there is a new security issue that arises, sort of make sure that it’s addressed in your particular package, or if there’s an issue in one of your dependencies, make sure that your package is adjusted to take account for that, help us documenting new releases that are happening, any licensing changes – we sort of record all of that. Those are the kinds of things that we ask maintainers to do.

Just to highlight – at least for now, we’re not asking maintainers to fix a bug or add a feature, or provide help desk support for a runtime issue that was encountered by a subscriber. Those things — there are open source business models associated with that; they’re challenging business models, because they scale with the number of hours that an open source maintainer has in their day.

There’s only so many support tickets you can respond to, or so many consulting engagements that you can have. So since that’s already possible in the world, we’re trying to focus on sort of a new model, which is doing things that can be done once where many people benefit from them, like resolving the security issue – you do that once, and all of the users get to benefit from it.

Our part is to create the alignment of interest, so that those things always get done with predictability, and we do ask our participating maintainers (lifters, as we call them) to do those things, and then Tidelift’s role is to make sure that everybody is following through correctly, deal with any kinds of issues that come up.

Adam Stacoviak: You used the term “a well-defined standard” earlier in the call. I am assuming that that means that it’s either written down once, or it’s the way things are, or it’s maybe a case-by-case basis with each lifter or maintaining core team, that they say “Okay, Tidelift, we wanna be a part of this, we wanna be a lifter. Sign us up, we’re ready to go,” and then there’s something in these well-defined standards that says “Hey, this is what you’re committing to.” Is that accurate? Can you describe that?

Donald Fischer: It’s more like a set of open source project best practices that we ask our participating maintainers to follow.

And here’s actually another really great part of how this all works – most open source projects that have a substantial user base are already doing most of these things, or all of these things.

This is things like having a responsible disclosure policy and adhering to a responsible disclosure policy around security incidents, or using two-factor authentication on all of your systems that are involved in the build and distribution chain for an open source module. Sort of like checklists for healthy living as an open source project.

Those are the things that we ask open source maintainers who are participating in our system as lifters to do. And even though many of them are doing most of those things by creating a uniform standard where everybody who is participating in the Tidelift system is doing all of those things, it allows us to represent that this collection of software as a whole meets those standards to our subscribers.

And again, that’s worth a lot to these professional software teams that are building enterprise applications; if we can show them a menu of healthy open source project attributes that we’re ensuring are true for the dependencies that they use, they love it. And it’s a modest cost for them to pay, to ensure that the software that is really powering their business is well cared for.

Adam Stacoviak: Most companies have co-founders. In this case, you have three other co-founders, I believe. What’s the story there? Who are they and how did you all meet?

Donald Fischer: Yeah, this is the best part of Tidelift for me, it’s my co-founders, and then the team that we’ve built to go on this mission together with us, and it is an interesting story.

I have three co-founders – Havoc Pennington, Jeremy Katz and Luis Villa. We’ve all known each other pair-wise for at least 15 years, and a couple of us go back longer than that.

As I mentioned before, we all intersected at Red Hat in the early 2000’s, and then we’ve collaborated on different projects since then… And each of us sort of has a different ingredient that we contribute to the mix.

I talked about my background a little bit; a lot of it is sort of the business side of open source. Havoc, our co-founder, currently is leading Product for us. He is a long-time veteran of the open source world. He was originally one of the founding voices in the GNOME Freedesktop community, the Linux desktop, and co-led the creation of the GNOME Foundation, which continues productively to this day, and implemented a lot of the software himself that powers the GNOME desktop.

I got the chance to work with him first when he was leading the desktop development team at Red Hat. Then Havoc has interestingly gone on to do tours in a couple of other interesting and different open source communities. He was working for a stretch in the Scala community, in sort of the greater Java world, and then most recently was back in the Python data science community before we got together to start Tidelift.

Then the third co-founder is Jeremy Katz. Jeremy is an amazing technologist. I got to know him when he was one of the core developers at Red Hat, then he went on to sort of grow his professional portfolio beyond just open source – he was an early employee at HubSpot, the marketing SaaS company. He led the implementation of this product called Stackdriver, which was a startup that was sold to Google and now serves as essentially the management console for the Google Cloud platform, so really a seminal piece of software in the cloud generation.

And our fourth co-founder, Luis, has (I think) the most unusual story, which is Luis started with the rest of us as a programmer, open source developer, but Luis ended up going to Law School, and then closing that loop by becoming an open source legal expert, really, one of the widely respected voices around legal issues associated with open source.

He did a really interesting stretch working with Mozilla, where he actually led the drafting of the Mozilla Public License 2.0, and then he had a really interesting time at Wikimedia Foundation, the organization behind Wikipedia, dealing with a whole bunch of open content issues there, and sort of leading the community effort there as well.

So it’s a really interesting set of disparate backgrounds and professional experiences, grounded in having all been open developers, software developers, and open source participants in the early years. I guess what we’re trying to do is bring those different experiences back together and apply them back where we all started, trying to make open source work better for everyone, the creators and the users.

Adam Stacoviak: It’s an interesting mix of people. Obviously, you’ve got business, you’ve got — I’m sure everyone was somewhat involved in coding, at least at some point in their life, but taking a role on that, having a role in Google and what powers that, and then legal; the licensing part of open source is, to some, often overlooked, but pivotal to how it could be used.

We see license changes in business; there’s some recent news not long ago with Redis around Commons Clause, or License Zero. All those things have implications. And even React – because you’ve mentioned them earlier, and we even logged that, about who actually supports React.

They had – I’m not sure of the details because I don’t follow this closely, but it had some concerns around the community, the way Facebook licensed React. We’ve even had Heather Meeker on Request for Commits, since you’ve mentioned that earlier, and with Nadia – we had a deep conversation around the importance of licensing.

It sounds to me like you’ve got an ensemble of the right components to do Tidelift… And I don’t know how you did it, but that’s pretty insane that you have. And it’s even more interesting that you all intersect at Red Hat.

Donald Fischer: Yeah. I mean, I just feel so privileged to work with these gentlemen, and then again, the team that we’ve brought aboard to share this mission with us; it’s a lot of fun. But to the point around licensing – the legal code is one of the technologies that makes open source possible.

It is sort of a technology onto itself, and like other technologies, it’s complicated. It’s complicated for the creators to make the right sets of decisions around “Which license should I use? What are the tradeoffs?” and so on. It’s also really complicated on the consumption side, and that’s (again) one of the things that we’re trying to help address for professional teams that want to engage with open source in the right way.

They don’t have the time to each go become an open source legal scholar like Luis did, so we’re gonna try to create some tools and standard ways to approach this, that let them get the advantage of some of that substantial knowledge that Luis has accumulated in his days.

Adam Stacoviak: I’m sure this is the case for most founders or co-founders, but I find it kind of interesting that each of you have a particular milestone in your career, each of you can point to a particular thing you’ve done that is widely notable, to say – not so much that this is why you do what you do or you belong here, or you can trust you, but it’s like you all have some large-scale contribution to the community you’re currently serving through what you’re doing now. And to say “We’re part of the community. We’re not just entering (like you said earlier) and trying to solve a problem, and we’ve never been here before. No, we’ve been boots on the ground for decades, and our resumes and the work we’ve done before” is what you point to to prove it.

Donald Fischer: Yeah. I mean, the only caution there is that every situation is different. One of the things I always try to remind myself is to learn from the past, but not to over-apply models from the past, because sometimes they can be misleading. The world changes.

The world is a lot different now in 2018, in terms of where open source is in the software ecologies in general versus 2002. Back when we were doing the first version of the enterprise Linux business model in 2002, most professional companies looked at Linux and said “This thing looks crazy. What do you mean free software? How could this possibly work?” etc.

Now, fast-forward 15+ years later, there is no proprietary software to buy in most of these categories, right? It’s pretty hard to go find a proprietary application framework to build with these days. It’s almost complete takeover by open source, but our point that we’re trying to highlight with our work in Tidelift is just because open source is everywhere, it doesn’t mean that software doesn’t need to be maintained.

In fact, it sort of heightens the question of “Who is taking care of that software, and why?”

Adam Stacoviak: Right. Who is responsible, yeah.

Donald Fischer: Yeah, and who needs it to happen, and how do we connect the dots?

Adam Stacoviak: Well, let’s close the loop on this idea of sustaining open source, maintaining open source, this phrase that often gets put out there and talked about, and the actual mechanics of what that really means. There’s other models out there, and every model is needed, because you said earlier “Hey, if money is coming in open source – great! Let’s not say one way is wrong or right”, but I wanna kind of go into the differences of other models.

We’ve talked to Pia Mancini on here before around OpenCollective, we’ve talked to Eric Berry around CodeFund, previously CodeSponsor… I haven’t talked to anybody from Patreon before, but we’ve definitely talked to Evan You on Request for Commits and several others. Henry Zhu from Babel on how they’re leveraging their ability to go full time and using those platforms to really good advantages.

But then here comes Tidelift – so what is the biggest difference between Tidelift and other models where they could be seen as like more charity, or somewhat value-based?

Donald Fischer: First of all, just to get on the table – the more, the merrier.

Adam Stacoviak: Right.

Donald Fischer: I’ve said it before, I think every channel to pay the maintainers is additive, and so we’re just trying to add another option into the mix, and probably “the answer” is not one of these, it’s a polyglot solution of multiple of these working in different ways.

I do think that we have a somewhat different approach than a lot of the systems that have been implemented before, and it comes back to just being very practically-minded around not just asking organizations to pay back the maintainers that created software that they’re using because it’s the right thing to do, not only because it’s the right thing to do.

We’re seeking to give them the additional self-serving reason to do it, which is if I pay for a subscription that covers these open source components, I know that there is somebody who is committing to me that they’re gonna care for this software.

And when we say “care for the software,” it’s written down what we mean by it, and if an issue arises, I’m gonna have someone to go to; they’re committed to work with me. So it’s something that they don’t get if they don’t pay, and we think that’s compelling to a certain audience.

And again, we’re more oriented towards these software teams within enterprises. That’s not particularly compelling to most hobbyist developers. They’re not really the audience for Tidelift, at least at this moment. Not the one that we’re targeting, at least. And for hobbyist developers, I think there’s a bunch of other options on the table.

By the way, as a hobbyist developer on the side myself, I happily contribute to a number of different funding mechanisms for the projects that I use. I think it’s great, and I love doing it, and it makes me feel good, and everybody should.

Adam Stacoviak: I definitely echo what you’re saying on “the more, the merrier.” One question I have for you though is like, since you’ve said you’re a listener or this podcast, and you listened to one of the latest episodes with Eric Berry, one thing I can recall him saying in the conversation we had was around this extra layer. So the example we used in that show was Jack Lukic, who was the creator of Semantic UI, which we actually use here at Changelog; it’s the UI framework we use for our back-end.

And the question in the conversation there was essentially like layering on one more thing for a maintainer to do. So Jack may be really great with user interface, maybe really great with the framework, and that’s all he may really wanna do, but he’s hit a stopping point of time invested because of the lack of funding. So in the Tidelift model – and maybe Jack is not the perfect person. Jack may be considered a hobbyist, even though his project is used tremendously, and very vital to so many projects that are using it. But he may not have the time or the desire to wanna do the other things to support or to be in the Tidelift model; how does that fit in?

Donald Fischer: I think if I was to rephrase the question, it’s like “What if the open source maintainer or team isn’t interested in doing the Tidelift-style maintenance?”

Adam Stacoviak: Assurances, yeah.

Donald Fischer: We sort of look at that, again, from the – think about it from the open source user’s perspective. The user is still interested in having somebody look after the security, look after the licensing and the maintenance of this component.

So if the current contributors to that project are not interested in doing that, can we create an incentive for some new contributors to join the project to do that? And one of the patterns that I’ve witnessed being in and around open source communities is when somebody shows up in an open source community and they say “Hey, I’m interested in doing some of the grunt work around here, to sort of help with some of the day-to-day maintenance tasks,” especially if everybody else has already passed on volunteering to do those things, usually they’re accepted with open arms.

So I think that our model can potentially help in those scenarios by giving someone else a nudge to sort of show up and volunteer… It’s not really volunteering, because they get paid to do it.

Adam Stacoviak: They’re getting paid!

Donald Fischer: Yup. “Pay the maintainers” is our mantra.

Adam Stacoviak: I like that tagline a lot. It’s short, it’s three words, it gets to the point. Pay the maintainers.

I like that. And you said “The more, the merrier”, I think that’s what everyone is saying – let’s just find ways to pay the maintainers, so that they keep maintaining, so that they keep innovating, so they keep really just enjoying it. Open source is fun to be involved in.

What makes it not fun is whenever you’re not – not so much not rewarded, but just when you feel depleted at the end of the day because you wake up to 35 new issues, all these different things, and then you’ve got your day job, and your family, and your life.

That’s what drags it down and makes it very difficult to scale, and maybe why earlier you mentioned venture capital. Capital wasn’t a great option for it, just because of the way the market worked. There’s all these different ways, but this is just one of several ways we can pay the maintainers, and I like that mission a lot.

Donald, we’re coming to the close here. I’d like to end with this question. Super-secret – something’s going on at Tidelift that maybe people aren’t aware of; you know, I don’t know. Is it a new announcement, something coming up…?

What’s something that no one knows about that you could share here on the show today? Or even tease, whatever it might be.

Donald Fischer: Yeah, I’ll just mention a little tease.

We’re gonna have some really exciting to us, and I think relevant news coming out in the next couple of weeks, talking about getting to a certain kind of scale milestone on the Tidelift platform. Stay tuned for that.

Stop by Tidelift.com, depending on when you’re listening to the podcast, to learn more about sort of showing the model working at some interesting scale that we think people will find compelling.

Adam Stacoviak: When you say “milestone”, it means the big deal, right? So this is a big deal.

Donald Fischer: It means we’re reaching another waypoint on our journey to demonstrating the Tidelift model working at scale… And paying the maintainers.

Adam Stacoviak: Gotcha. So even if you’re listening to this distant in the future, and this announcement has since passed, we’re gonna update the show notes for what Donald is talking about; we’ll definitely link it up, whatever it might be.

I don’t know where it’s at, but wherever it is on the internet, we’ll link it up, so just go back to your show notes. We’ll make sure we have those up to date.

Donald, anything else in closing? It’s a fun journey that you’ve been on, from your history in open source, all of the different co-founders that have worked with you on this, the mission you have to fund open source, in particular “Pay the maintainers” – I love that.

Anything else you wanna say in closing to the listening audience that may be interested in the journey of open source and what it’s about?

Donald Fischer: First of all, I would just say thank you to you, Adam, and to the Changelog and Founders Talk for covering these topics, because I think you’re a really important voice and you’re shining light on important issues. I guess that would be my parting thought – these issues are important. As a lot of folks now have pointed out – you referenced Nadia did an amazing job shining a light on the importance of open source software…

Adam Stacoviak: Yeah.

Donald Fischer: We have now decided collectively to build our civilization largely out of software, and that software is open source.

So if we want our world to be a great one, we need our software to be great, and that means we need our open source software to be great. I’d just invite everybody who is interested in these topics – learn more about the different models that are being proposed.

I’d love for folks to come and learn more about Tidelift, and talk to us and help us evolve it in the right way, take it the right way; launch additional models. Let’s try a whole bunch of things, and collectively I think we can have a really positive impact on the world.

And thanks a lot for paying attention and putting this in front of an interested audience, Adam.

Adam Stacoviak: Absolutely, man. Thank you so much for saying that. This has been a labor of love for many years, turned business, and we’ve been fortunate in that. And if it weren’t for our listeners and those contribute to open source, and this entire community, we would not be able to exist obviously, because there’d be nothing to talk about.

But we’re just so thrilled that we get to be in this position; we’ve been down a long road, and I’m honored to have 1) you on the show, then 2) you as a listener… And when I mentioned things, even in the breaks, you were like “I’ve already listened to that.” I didn’t know that you were that passionate about – you know, sometimes people say thank you, but you’re an actual listener, who listens to every show, or at least a lot of them. That’s awesome, I love that.

Donald Fischer: Keep up the good work, man.

Adam Stacoviak: Thank you, Donald. It was a pleasure, and I really appreciate it.

Donald Fischer: Thanks for having me on.

Adam Stacoviak: All right. Thanks for tuning in for this week’s episode of Founders Talk. Do me a favor, assuming you’ve got some value from this episode, share with friends, rate this show on iTunes, favorite it on Overcast – this is the best way you can help me and this show, and help others to discover it too.

Find all our shows at changelog.com/podcast.

Subscribe to the master feed changelog.com/master. Get every single show in one feed.

Thank you for tuning in – I’ll see you on the next one.

Peter Mattis is the Co-founder and CTO of Cockroach Labs, the company behind the popular cloud-native, distributed SQL database, CockroachDB. In this episode, Peter discusses their experiences transitioning to a new, less permissive open source license, and how open source startups are evolving business models to maintain competitiveness.

Transcript

Intro

Michael Schwartz: Hello, and welcome to Open Source Underdogs. I’m your host, Mike Schwartz, and this is episode 33, with Peter Mattis, Co-Founder and CTO of Cockroach Labs.

Peter has some hilarious insights into the open source startup world. To me, this episode highlights how open source business models have evolved, how companies who witnessed the proverbial carnage of the last five years are adjusting their license and business models accordingly.

I’m about a month behind schedule right now, this podcast was recorded September 11th, 2019. Peter was in New York City, as you can identify by the frequent sirens in the background.

So, without further ado, here we go. Peter, thank you so much for joining the podcast today.

Peter Mattis: Glad to be here.

What Is CockroachDB?

Michael Schwartz: Quick technology question, and then we’ll revert to business. In the database space, companies are moving into adjacent markets. So, Redis starts to add persistence, MongoDB starts to add caching – in this kind of market, what’s the sustainable advantage for CockroachDB?

Peter Mattis: It’s an excellent question. What we see as our advantage right now, is we’re a blend. We didn’t move into adjacent markets, but we saw a gap in the market.

There’s NoSQL databases that have been out for a decade and getting a lot of traction because they provide this ease of use and easy horizontal scalability. But we also saw those databases as failing application developers, because they put a lot of burden on the shoulders of application developers due to their lack of transactions, lack of schemas, lack of indexes.

We saw this place in the middle, where we could have a horizontally scalable, distributed SQL database. A niche we’re occupying is to actually make this a geo-distributed database, so we can scale geographically and support global applications.

This is becoming an increasing need in the market, with regulations such as GDPR, but also with the advance of new technologies, people are just adopting faster speeds from the products they use. A user in Singapore wants to access their bank data, and make it feel instant, not make it feel like they’re jumping halfway across the world to get access to their data.

Cloud Strip-Mining

Michael Schwartz: Your new BSL license, or Business Source License, states that the one and only thing you cannot do is offer a commercial version of CockroachDB, as a service, without buying a license. What I’m wondering is, would this actually be a bad thing? Because Elastic and MongoDB haven’t exactly done badly since Amazon offered their software as a service, so, maybe would it even help you?
Peter Mattis: That’s a fantastic question. The thing is, this is, to some degree, a risk mitigation.

Elastic and MongoDB, I think if they had the choice, they would go back and put a license like this in place. Especially in the case for Elastic, they’re too far upon to go back, and they can’t retroactively apply that license to the source code like that.

That threat from the Amazon’s and Google’s is real. They sure wish they could have taken business maneuvers three years ago. We’re not facing this threat this year, we probably won’t face the threat from the major cloud providers next year. But it’s two years down the line, by the time we get there, the opportunities, the moves we can make are much more limited.

We had significant internal debates about this, and this is a way to just kind of de-risk some of those eventualities. I feel that BSL has come out of this nice balance. Three years down the road, our current release of CockroachDB will be active and fully open source. But then, we’ll have another three years of time to have further improved it.

We actually kind of see that combining our incentives with the incentives that users and open source users, purely closed source software maybe never has a time frame where it’s going to become open, even when it’s reached end-of-life for the company.

Our software will have that time frame. Every three years, on a rolling basis, it will become an open source. And this is our means of protecting against eventualities that could seriously harm or completely destroy companies viability.

BSL License

Michael Schwartz: Was Michael Howard and MariaDB influential in coming to that conclusion?

Peter Mattis: MariaDB certainly was. We were looking out at ways that we could protect against the stripmining that’s taking place of open source, where company like Amazon can come in and take what has been developed by another entity, and just extract all the value from it, by providing it as a service.

Don’t get me wrong, what Amazon is doing, from the amount of work and the services there, can oftentimes not be flowing back to the original developer or developers, or open source companies. This is a huge existential risk, and for open source developers, independent ones, this is just kind of like supreme irritation, “Hey, I developed this work to make this awesome, beautiful bit of open source, and someone else is actually getting all this value from it.” That kind of sucks.

We were looking around for ways to protect against that. We considered a number of alternatives, we considered closed sourcing more of the product, we never wanted to do that. We considered not doing anything, we just continued with business as usual and tried to fend off the Amazon’s or Google’s, and that also felt insufficient.

Like I said earlier, the BSL felt like a nice balance between the two, and gives us a pretty strong measure of protection, but it doesn’t completely close off the source.

Value Of Community

Michael Schwartz: So, it’s pretty hard to write a database?

Peter Mattis: Very hard.

Michael Schwartz: Is the community materially adding value to the product?

Peter Mattis: I would say yes and no. I mean, databases – it’s yes, in a sense we get a lot of feedback from the community about the things they need to the things they want to use.

There’s modest actual code contributions from the community, not huge code contributions. The database is a complex piece of software, and there’s no way around that. You need to have kind of main specific expertise, and even within Cockroach Labs, the company behind CockroachDB, there’s main specific expertise within various teams.

People working on the SQL optimizer have expertise about doing the SQL optimizations; versus people working on a web UI frontend, need specific knowledge about observability patterns; versus people working on a transactional layer that need to know about distributed transactions and protocols like Raft.

What we see is, it’s not a very approachable product for a random person to come online and make contributions. That said, we have had contributions, people who have been able to do stuff, both at the edges and kind of deep within the product. Over time, I expect to see that increase. Especially, as the company grows, we have more energies to support those efforts.

Remote Workforce?

Michael Schwartz: Is the business team and the developers of CockroachDB – is everyone centralized, or is it remote?

Peter Mattis: It’s not all remote, it’s not all centralized. We are primarily based in New York City – that’s the headquarters, that’s the executive team is primarily based. We do have a remote office in San Francisco, one in Toronto, we have developers in Seattle, and then, a couple more scattered in other places.

This hasn’t been purely intentional. It’s been opportunistic, as we got these people, as we found people who had expertise in various areas. And of course we have the sales people distributed to their various regions.

Pricing

Michael Schwartz: So, with containers and auto-scaling, the old way of pricing database seems to be totally broken – did you find that you needed to reinvent a pricing model for your product?

Peter Mattis: We were actively undergoing discussions about the way people want to consume and pay for databases and services internally right now.

We have a pricing model for, if you get an enterprise license and you want to deploy CockroachDB on premise. And that’s kind of the more the standard, you pay for a number of cores, paying is based on what kind of CP you’re using.

This is kind of translated over into our Cockroach cloud offering, which is still currently in private beta. But we’re very much looking towards a day in the future, where there’s more of a pay-as-you-go, usage-based pricing.

That seems to be the easiest thing for consumers and application developers to use. It eliminates a lot of the headaches of capacity planning, but in order to go along with that kind of model “pay-as-you-go,” you need to have a database that scales elastically. And that’s what we’ve also been developing and putting a huge amount of energy into.

Comments Of RedHat Acquisition By IBM

Michael Schwartz: I think the industry is reeling a little bit after the acquisition of Red Hat by IBM. Do you have any thoughts on what that means for the commercial open source market?

Peter Mattis: Red Hat was the original open source software company. They have a unique success in their model. And their model embraced open source tightly, and provided services and support for open source.

And the common wisdom is that other companies trying to follow those footsteps have run into difficulties of having just a pure support in services model.

So what does the acquisition of Red Hat mean?

One, it’s kind of a sign of like, “Hey, this company existed and grew to a massive scale.” And it was seen as a very strategic move by IBM to buy them. They worry a little bit about what’s it’s going to mean for all the open source goodness that Red Hat was doing, but I think also open source has evolved past with Red Hat.

We see the big companies, the Facebook’s, and Google’s, and Amazon’s, also embracing open source, but also an ecosystem of startups were embracing it from the early days.

So, coming to my overall conclusion, I think the industry had already moved past Red Hat by the time that acquisition had happened.

Is Open Source A Bait And Switch?

Michael Schwartz: MongoDB recently commented that their open source strategy was primarily related to marketing. Is commercial open source just sort of bait and switch?

Peter Mattis: What do you mean by bait and switch?

Michael Schwartz: The benefit of the open source, they’re saying really was to get you to use the product so that you would buy something, so it’s really just a marketing channel?

Peter Mattis: I mean, if something is viewed as a go-to-market strategy, then what I think about open source is, people can just download and start using your product without going through some heavyweight handholding from a sales rep – I think there’s a huge liberty in that.

I very much prefer to use products, so I can just download and start kicking the tires rather than going through whatever that is – giving someone my email address, or getting on a phone call. I see that as kind of a marketing strategy.

There’s also a strategy, especially with something like a database, that there’s concerns. A database is a very score of what businesses do. They’re storing data in this thing, it is holding the crown jewels for companies.

For us, there is a bit of a concern of, like, how do you get a closed source database going again in this day and age, when as a startup people are wondering like, “Oh, will you be there in two years?”

With open source, at least, it is a reassurance that no matter what happens with Cockroach Labs, CockroachDB the database will still be there.

I don’t think it’s a complete bait and switch. I think there’s aspects of it that are self-serving, there’s aspects that are altruistic as well. I very much know that I originally got into open source due to those altruistic aspects, seeing all that open source code out there, being able to get inside, tinker, learn from it.

I thought that was great. I wanted to get back to it, and I still have those feelings. I also have to balance that out if you want to have a company that’s successful and looking at how open source can be part of that.

Move By Chef And Cloudera To 100% Open Source

Michael Schwartz: Recently Cloudera and Chef have moved to an all open source strategy. Do you think we’re going to see more of that trend?

Peter Mattis: I think we’re going to see a period of time of experimentation in different models.

There was kind of this feeling that there’s wisdom about, here’s how you build a product that’s open source, you have open core, we saw Enterprise licenses. Then all this moved to Cloud. And being able to monetize your open source as-a-service has kind of flipped things up in the air and started creating a period of time of innovation.

So I’m excited to see this innovation happening because we’ll see what shakes loose out of it. We’re not taking that path and making everything open source, other companies are. Some of them are going to be successful, maybe we’re successful, and history will be the judge of that.

Market Segmentation

Michael Schwartz: Let’s talk a little bit about Cockroach. How do you segment the market?

If you have a database, you can sell literally to anybody. Do you just wait for customers to try it and call you? Or, is there any way like, you’re looking at the market to break it down and sort of attack the market?

Peter Mattis: We don’t necessarily do the segmentation in the same way you might see at other companies, where they might just segment it purely on, like, “Oh, this is banking, this is healthcare.” We do have those segments, but we’re also looking at use cases, and we kind of segment on use cases.

Broadly speaking, in the database market, there’s two huge segments – if you’re looking at the first level of division – and that’s between the analytics databases and transactional databases.

We very much have placed ourselves in the transactional database market. That’s like the kind of the first level of segmentation. It’s part of our marketing message, we want to be the system of record for various workloads.

And storing, knocking the analytics workload, but actually storing the transactional process, and storing the user records, ledgers, the healthcare records.

The further segmentation that takes place is, where we are getting traction with regard to these use cases that people are comfortable moving on to CockroachDB now, versus the ones that they will be uncomfortable moving in the future.

Part of this is like, we break down the Fortune 2000 we look at, we break down those big enterprises, all of them have heavy database usage. But also be looking at the startups that are coming new into the space. And for startups, there is doing our marketing message and then training our sales engineers or account executives to identify the use cases that fit nicely with the current CockroachDB capabilities.

License Enforcement

Michael Schwartz: Of course, there’s no license enforcement in your product, so you can’t force companies to get to call you and get a license. Is the business really on the honor system? How do you get customers to actually get a subscription?

Peter Mattis: We do have Enterprise functionality in the product. And you have to have Enterprise license to do that. In order to get an Enterprise license, this is where you need to get the subscription, you have to talk to our sales people in order to do that. But because it’s open source, there’s no strong cryptography around this. There is a little bit of cryptography but it’s nothing strong, it’s nothing unbreakable, because it’s open source; people could violate that.

That way, it’s on the honor system. Is that viable? I think in the U.S. it is viable, and in most of the world, it is viable.

In China, it’s kind of a notable exception, where they’re very willing to not play to that spirit and just take this stuff for free. But even there, we have a little modest bit of traction with Baidu, out in China.

I think the interesting thing and the interesting advantage that CockroachDB and Cockroach Labs has, is that it’s running a database without actually having a support contract; it’s a very foolish maneuver for any company to make.

It’s almost like another fiduciary duty to have such contracts in place because, if any, like risk offers, those company was to look and say, “Oh, hey, what are the risks to this business?” “Oh, I’m running on this open source database, we actually have no relationship, no support contract with the company behind that database.” They would be raising their eyebrows until they jumped off the top of their head.

I think that way, we’re in kind of a very nice position where people who come in, they use this as open source, with testing and development, they kick the tires of the product. And when they actually start getting production, they’re like, “Whoa, wait. We definitely need to come talk to them,” and that’s when they engage with our salespeople.

Products

Michael Schwartz: Of the products and services you offer, which is the most important from a revenue perspective today? And which product or service offering do you think has the most promise for the future?

Peter Mattis: Today, it is kind of on-prem Enterprise licensing, where we deliver CockroachDB as “shrink-wrapped software.” We don’t actually deliver shrink-wrapped per se, we give people binaries. This is essentially binary software that they run in their data centers. Sometimes, they run it on the public cloud. Right now, that is by far the majority of our revenue.

We saw the writing on the wall way back, a couple years ago that providing CockroachDB as a service was going to be our future. And we’ve been working towards that future. We’re starting to have revenue come in on that. And I very much expect that to be increasing.

It’s hard to predict a time when those revenue streams cross, but I see that the revenue from the cloud over the next year will be increasing dramatically.

Frankly, the revenue from our on-premise deployments is going to be increasing too. It’s hard to say which is going to have the steeper inflection curve yet.

Kubernetes?

Michael Schwartz: Has Kubernetes and containers threw a wrench in your world at all?

Peter Mattis: No, Kubernetes has actually been great for us.

Kubernetes provides easy running administration of stateless services, stateless applications, but most databases don’t fit into that role very nicely. CockroachDB fits in there very smoothly. CockroachDB runs on Kubernetes nicely.

We have a ton of our customers. It’s the single most popular way to deploy CockroachDB is on top of Kubernetes. Additionally, we’re using it as Kubernetes is the backbone for a Cockroach cloud service. And that’s how we run CockroachDB. So, not only throwing a wrench, Kubernetes is a bit of a wave we’re riding like right now.

Funding

Michael Schwartz: Cockroach Labs has had some pretty epic funding rounds. I’m wondering if you have any advice for entrepreneurs on how to survive this process?

Peter Mattis: My co-founder Spencer, he is fantastic, he has a kind of a superpower at talking to the VCs. And I think you need to have one of the founders of the company be in that role, where he’s interacting with our VCs, our current ones, as well as potential future ones frequently. It is a little bit like a never-ending process.

You finish one round, and other people are candidates for the next follow up round. And you’re always kind of thinking out to that future.

Cockroach Labs is in a fairly nice position, where the database market is huge and well understood. And it’s well understood that it’s not going to disappear. It might get disrupted in various ways, and we see some of those disruptions happening. Oracle is the elephant in the database market, and yet, to some degree, a lot of people can say of them it’s yesterday’s news.

AWS is kind of the growing elephant, and maybe it’s the gorilla in the room to work with elephant, it’s the thing that everybody’s paying attention to. They’re kind of changing the revenue breakdown in that space, but there’s just such a wide market area. There’s plenty of room for new entrants, and that’s one of the things that our investors saw, and they’re excited to buy.

They know there’s money, it’s not like we’re out there developing a new market from scratch. We’re breaking into an existing market with entrants, who are both very aggressive as well as entrants, which seem to have befallen by the wayside.

Partnerships

Michael Schwartz: The business is not super old. I’m wondering if you have started to work on developing partnerships, or collaborations, or maybe what companies have really helped you so far in the market?

Peter Mattis: We do direct sales to companies, we also have partnerships with various companies, with ObjectRocket, it’s a Rackspace company, partnership with IBM, and a number of others – I don’t have a list in front of me. But a handful of partners we are starting to work with, integrators as well, and those are certainly important ways for databases to get used and integrated into the system.

We’re also trying to work with companies that aren’t buying us directly but are building their own products, top of databases, and want to work with CockroachDB. We’ve seen this in the banking sector for instance, where there’s companies that are running new infrastructure for core banking services to the major players. They’re looking at CockroachDB is enabling them to provide additional functionality.

Meeting Sales Goals

Michael Schwartz: When you raise VC money, there must have been a renewed effort to sort of shore up the sales and marketing – has it been working?

Peter Mattis: The history of Cockroach Labs is, we spent kind of two years getting to our first 1.0 release of the product. We built something, we’re always painting a vision of, “Hey, this is what we’re going to build.” And people are like, “Oh, no, it’s going to be too hard to build.” You get that first proof point you built, you get the 1.0 version out there, and they are like, “Ah, okay.”

People are saying they’re going to use it, but are they actually going to use it? So, that third year was about, “Okay… yeah.” We had users who started kicking the tires and a few risk tolerant users getting it into production.

It’s at the end of the third year, when we actually started convincing people to give us money for it. Those were very early efforts at the sales side.

Then, of course, as of 2018, last year, we really started seeing an increase or ramp up in the revenue to the point where we’re like. “Okay, it’s time to actually put more fuel onto that fire.” And that’s where the next round came in. This was just recently, but we saw that it’s time to start putting more sales teams together.

So, in 2018, it was primarily one sales team. Actually, I don’t even know the number of sales teams right now, it actually might be up to seven or eight sales teams. And that’s usually an account executive, plus a sales engineer, who are starting to flesh out professional services offering as well. But you do this all with the signals that these things are needed.

Buying our professional services, because we just had sales engineers acting that rule, now it’s gotten to the point where it’s a full time role, and we were actually looking to increase headcount there. We want to add account executives, which are just kind of pure overhead, until you actually can see that, “Oh, yeah, we have a product that you built that people are willing to give you money for.” And it’ll actually work for the customers and production.

That’s where we were getting all that evidence in 2018, whereas the timing of the fundraise is, like, you’re trying to get from milestone to milestone in the lifetime of the company. The first funding was to build the product, the second bit of funding was to get to an initial revenue, and this latest funding is to be growing the revenue to a place where we can really start expanding the sales team aggressively.

I mentioned marketing as well, meaning there’s more effort going on the marketing side as well. When you grow in sales, you often grow in marketing, kind of in tandem. The sales people need food, and the people put the food in front of the salespeople are the marketing team. They’re generally the initial marketing qualified leads, which get handed over the sales, become sales qualified leads, and eventually some of those become customers.

Training

Michael Schwartz: Do you consider the training for it, to be part of the marketing of the product, or just part of the product?

Peter Mattis: Training is an important part of marketing, it’s an important part of delivering like the full product. There’s a basic way in which training is marketing, which is people who get certified or do training on CockroachDB, they’ll tweet about it, they’ll tell their friends, “Hey, I did this thing, this database is really cool.”

In some ways, it’s just kind of purely direct marketing in that sense, but it’s also part of the product. People need to know how to use it. CockroachDB, we put a ton of effort in making it simple, and yet, it’s still a complicated product, and they want to know how to use it.

By giving them that education, they self-service themselves, and we have to put less money into support. We still put a lot of effort in support, just hopefully there’s less of it, because people are trained up on how to use CockroachDB properly.

Open Source Again?

Michael Schwartz: If you were to start another software company tomorrow, would you make it open source?

Peter Mattis: I would love to make it open source. Probably would.

I think if I was to start another one tomorrow, the big difference is, it’ll almost certainly be some kind of SaaS offering. Software-as-a-service from the get-go instead of running it on-prem.

We were coming out with CockroachDB in an inflection point, where, even when we were founded four and a half, five years ago, when we were having these conversations, we knew database-as-a-service was the future. And yet, we’ve also seen it wasn’t quite here yet.

So, we’re trying to bridge this chasm right now between the old way of writing databases and the new way of consuming them to be as-a-service. The market overall, and all the big Fortune 500 companies, they almost all have cloud strategies to get off their private data centers into the public cloud. These things will take a while to unfold, but there’s just this huge, and we have seen only the tip of the iceberg of how that’s going to unfold.

My feeling is now, you can sustain yourself as software-as-a-service now, and it has been true for a while in a number of different markets. But I think you can do it for a database as well. I’d do open source, I’d do it database as a service, or I’d do whatever software-as-a-service, if I was starting up a company tomorrow.

Biggest Challenges

Michael Schwartz: Last question. What do you think are the biggest challenges for new companies trying to use open source as part of their business model?

Peter Mattis: The challenge is, you might be overly optimistic in how much impact open sources has, like the benefit you are getting from the community. And there’s success or disaster that can happen there.

If you develop something open source, and it actually gets incredible community traction, then there’s actually a huge problem that comes with that, which is managing the development at that point.

It’s almost like the open source product can become owned by the community, and they can take it and nudge it in directions that aren’t necessarily in the strategic long-term vision of the company itself. I think kind of struggling that is an enormous challenge.

Any company has this. People come and say, like, “I want X, Y, Z feature.” And you’re like, “But that’s going to conflict with this other feature that has been asked for.” With open source the challenge is, they can just go and do it. They can fork it, they know it’s open source, they can do what they want with it. And trying to manage that can become a huge, huge challenge.

Closing

Michael Schwartz: Okay, Peter, thank you so much for joining us today and sharing all that great advice and insights.

Peter Mattis: My pleasure. It was great chatting with you, Mike.

Michael Schwartz: Thanks to the Cockroach Labs team for helping to organize and promote this podcast.

Transcription and episode audio can be found on opensourceunderdogs.com.

Music from Broke For Free and Chris Zabriskie.

Audio editing by Ines Cetenji. Production assistance and transcription by Natalie Lowe. Operational support from William Lowe.

Have comments? Tweet at us. Our Twitter handle is @fosspodcast.

iTunes listeners, send us your five stars – this can be your open source contribution for the day.

Next week, we have a change of format. If you don’t know The Changelog, it’s an epic open source podcast currently with more than 350 episodes, the hosts are Adam Stacoviak and Jerod Santo.

We’re going to republish an amazing episode of The Changelog, you’ll have to tune in next week to discover which one it will be. A big thanks to Jerod and Adam for sharing this interview ad-free. Don’t miss it next week!

Until then, thanks for listening.

Boris Renski is the Co-founder and CMO of Mirantis, an open source platform for Kubernetes on-prem container orchestration. In this episode, Boris discusses how Mirantis has been able to effectively pivot multiple times as technology has evolved.

Transcript

Intro

Michael Schwartz: Hello and welcome to Open Source Underdogs, the podcast about successful open source business models.

I’m your host, Mike Schwartz, and this is episode 32, with Boris Renski, Co-founder and CMO of Mirantis.

This episode highlights how sometimes you have to pivot when your market reality changes. In their case, a way for managing virtual machines and towards containers and Kubernetes. Without further ado, let’s Boris tell the story in his own words.

Boris, thank you so much for joining us today.

Boris Renski: My pleasure, thank you.

What Does Mirantis Do?

Michael Schwartz: The Mirantis website says “Take back control of your container infrastructure.” Keeping in mind that this is a podcast for business people – can you help explain what that means?

Boris Renski: Basically, as anybody living in the open source world today would attest to, there’s a lot of talk about doing hybrid cloud, using containers, and Kubernetes. And this is one of a kind of most common waves that is happening right now, at least when it comes to a cloud infrastructure.

And one of the things that typically happens in hybrid cloud is that you need to find a way to very cost efficiently run Kubernetes container-based infrastructure on premises.

And the problem with Kubernetes and containers in general is that this is a cloud-first, cloud-native of technology that was initially adopted by developers for building containerized apps and running them in the public cloud.

In the public cloud, a lot of the low-level infrastructure constructs are solved for you. So, you don’t need to ever wire up the servers together, you don’t really need to connect the storage and deploy your custom storage enterprise solutions, etc. – it’s all there. It’s all within an API call.

So, now, with containers becoming a mainstream fabric for building applications and running hybrid applications, the problem of cost-effectively running them on-premises is becoming increasingly more acute. And the most common solution to that is to run them on top of some sort of virtualization layer, like VMware for instance. Which makes things simpler, but it adds a layer of complexity, and it also adds cost.

So, what we ultimately do is we enable companies to run hybrid cloud infrastructure with the on-premise piece, the containerized on-premise piece running directly on bare metal, leveraging exclusively open standards, and we do it in a very cost-efficient fashion.

Pivots

Michael Schwartz: Ok. So Mirantis is in a fast-evolving sector, to say the least, and you’ve had to pivot a few times along the way. Can you talk about those pivots, and why they were necessary, and how they worked out?

Boris Renski: We’re kind of an atypical startup, I would say, because most startups that you would see coming out of the Valley is a couple of smart guys that built up cool open source software that has become popular. They’ve gotten some VC funding and off they go. And hopefully, they’d built a company out of that or maybe exited it or maybe not.

Our story is a bit different than that. We’ve actually been around for a while, we’ve been around for over 10 years. And the story of Mirantis is that of a continuous evolution and continuous pivoting.

So I started, I think it was a 2002-time frame, shortly after I moved here from Moscow. I started doing something that I would argue every other Russian of IT background tends to do, and that is sell Russian engineering talents to Silicon Valley-based companies.

I guess not so much through my personal talents but through some degree of luck and the fact that I was able to find a very talented group of engineers, I was able to scale that company to about 50 people. And in 2006, merge it with another company that was doing pretty much the same thing – and this is how Mirantis was formed back in 2006.

It was myself, my partner at the time, Alex Friedland, and this company of about 100 people altogether, that was just kind of a generic software outsourcing.

Shortly after the merger, I would argue this was the first pivot to your question, because it was clear that just doing generic selling of engineering talent that the scale of a hundred people is not something that you can build a huge company out of. It was clear that we needed to specialize.

And we had at the time already a bunch of customers that we were doing some infrastructure stuff for. For example, Cisco was a customer for whom we were doing some hardcore networking stuff at the time. And this was 2006, time of cloud and kind of this infrastructure cloud revolution.

So, we started moving in the direction of just cloud infrastructure, and we started playing with everything that’s hot out there – big data, all the different open source cloud technologies. But in general, we moved from being completely generic to be more specialized, but we stayed, as far as our value proposition, focused on just services.

And then, we, I think, spend probably 4 years or so in this configuration, slowly growing the business. And then, when the cloud became mainstream, again, we were doing a whole bunch of stuff, so we figured we need to kind of specialize further. And we need to just take one area, we can just be doing cloud and big data and everything that one can find.

So, we decided to focus on cloud and specifically on the technology that was kind of up and coming and cool at the time, called OpenStack, which I’m sure you’ve heard of. And at the same time, still stick to the kind of value proposition around services – no products, just selling services. So, this was I guess the second pivot.

The first pivot was from kind of a generic software to cloud infrastructure. Second pivot from kind of generic cloud infrastructure systems integration, to focusing on a specific layer, kind of OpenStack and OpenStack adjacent open source projects.

I think it was probably a year or two years in that mode that we ramped, that we were actually able to ramp quite a bit. I would say that the reason for that ramp is because unlike anybody else in the space, who was trying to immediately build a leverage business model around OpenStack at a time, we were just selling people.

We were just selling services, and we were the only guys that were in town doing OpenStack services and doing it in a very competent fashion. And, of course, most of the large companies adopting new open source technology, they tend to shy away from start up some products in the early days until the winner emerges.

So, they came to us to actually build some bespoke solution, using either OpenStack or some OpenStack adjacent technology, like, for example SAF or OpenContrail, because there’s a lot of open source projects you need to stitch together whenever you build infrastructure.

There was another next wave of growth, so to speak, that took us to the next level. The third pivot was actually trying to introduce elements of a leveraged business model. So, this happened already I think in maybe 2012/2013-time frame, when we were already pretty popular open source infrastructure and OpenStack specifically at a time.

And what we did is, we basically started trying to look for patterns of commonalities between all of the different projects that we would implement. A lot of them were very different, but some of them had a lot in common.

We’ve basically built this kind of a library that gathered a list of the different configurations, the common configurations for deploying on-premise cloud infrastructure. In plain words, it was just a bunch of puppet libraries at the same time, like puppet scripts.

We started collecting it internally at first for just being able to deliver services more effectively to our customers, and then, I think 2014-time frame, we actually open sourced it and made it publicly available.

We said, okay, we now have this set of a puppet script effectively for deploying OpenStack, and OpenStack adjacent projects that everybody can use, and if you’re within those configurations, if you’re deploying using the scripts, these specific configurations will be able to actually go ahead and provide some sort of SLA support for you. That was a third pivot. From just pure-focused OpenStack services to monetizing support SLA around it.

The fourth pivot was kind of both from the process and I will say technology-focused standpoint. So, between I think 2013/2014-time frame, where we emerged as this OpenStack implementation and support vendor, up until I would say 2017/18-time frame, we’ve been focusing on first of all evolving this leveraged business model.

So, basically, moving our support from just providing kind of like initial response and ongoing SLA, to more of, like, an uptime SLA. So, moving up the value stack and adjusting our business processes accordingly. We are therefore being able to extract more margin from the customers we already have.

And the second vector of evolution was around the technology itself because obviously the world has kind of moved on to containers and Kubernetes. VMs, on-prem VM orchestration has become more of a commodity.

We started building more and more competence around that, and moving our product from being exclusively focused on just VM orchestration on-prem to basically a container orchestration on-prem and hybrid cloud using containers and Kubernetes.

I would say that, probably, we are 80% of the way through our fourth big evolution at this point, and looking forward to the fifth one. That’s kind of been the long and winding journey for us, evolving the business model.

Most Important Projects

Michael Schwartz: So, there are 200+ repositories in the Mirantis GitHub. Are there any themes in the software, and which are the most important software projects for your business model?

Boris Renski: It’s a good question. I think out of 200, only a fraction of them is active and alive, because 200 – this is like from when we started. And then, the repos, we tend to commit more to, and then do kind of spikes, and then it goes into the maintenance mode or just goes away.

I wouldn’t say there’s just like one repo that’s the most important one, but there’s a collection of repos. But all of them are around a theme of lifecycle management of the software. So, we have this component tool product Mirantis cloud platform, called DriveTrain.

Back in the day it was extremely unique, but now it’s more kind of more mainstream. It’s a system for managing the lifecycle of a distributed system, using continuous delivery approach.
What that means is that for the private cloud, or the hybrid cloud that we have deployed for the customer, every single service, every single component, we treat as an atomic element.

And we separate the binaries and configuration, and we codify workflow for updating each one of these components, using a continuous delivery pipeline. And DriveTrain is a system that makes basically all this magic happen.

The core problem that this ultimately solves is basically keeping the main components of a distributed system up-to-date for the customer in a very seamless and non-disruptive fashion. Because in our view, the biggest disruption that cloud brings to the table, is the fact that you don’t really need to care about the lifecycle of the infrastructure software anymore.

So, if you get it from AWS, it’s just there, and they release new versions seamlessly, and new services, and then you can just start using them – you don’t need to go for the upgrade cycle.

The whole big problem that we were focused on solving back from the OpenStack days is how do we do that same thing, only not for the public cloud environment but for the hybrid cloud, and specifically for the on-premise piece of it.

And all of that, relay it, aggregate it under this project called DriveTrain, which consists of probably several dozens repos. And this is where we probably do most of our R&D and hard work. So, hopefully that answers it.

Contributions

Michael Schwartz: Are Mirantis’ engineers the majority of contributors to these projects?

Boris Renski: The short answer is yes, but I want to qualify that a little bit. So, when we build a hybrid cloud environment for the customer, typically, there are kind of common upstream components like Kubernetes, like Ironic for bare metal management, like OpenContrail, or Calico for networking, Ceph for storage, etc.

Those are really what I would call pure open source projects with large community around them, where Mirantis is just one of the contributors, and we package them, and we deliver them.

And then, there is a number of components like, for instance, DriveTrain that glue these things together. And when it comes to the glue part, it’s mostly Mirantis contributors with some of outside community consisting of our customers or maybe just users outside of Mirantis.

Material Contribution From Open Source

Michael Schwartz: Do you think that open source software development has materially contributed to the business model?

Boris Renski: The whole company, the entire business model revolves around delivering open source infrastructure software to customers in cost-efficient, and simple to consume fashion.

So, the answer is absolutely yes. Our entire business model is predicated on being part of the open source community and taking the software that we helped build in the open to all customers.

Michael Schwartz: It sounds like some of those components, if you change the license on them, would customers really care? And if they’re mostly Mirantis’ engineers working on them… So I guess I’m wondering, yes, sure, you are deploying a whole stack of open source, and that’s mutually valuable. But I’m wondering about for the software development activity at Mirantis – do you think it being open source really makes a difference?

Boris Renski: It’s a good question. I think the answer to that question is still yes to a large extent. It has to do with the fact that one of the big advantages that we bring to the table, and one of the big things that we do that a lot of the competitors don’t do, is that we allow our customers to take complete control over the infrastructure that we deliver for them as an option, through what we refer to as a build-operate-transfer model.

And because our customers are large telcos and large Enterprise, being able to have that option and being able to actually operate the infrastructure that we’ve delivered for them independently, at some point in time down the road, is very important.

And having an Apache 2 permissive software license is instrumental for that happening. Because if we have some sort of license that requires them to pay fees or limits them from doing whatever they want to do with the software weakens the value proposition behind the build-operate-transfer model.

Build Operate Transfer

Michael Schwartz: Part of this process is used in complex systems, like Toshiba built the subway system for some country, they operated for a period of time and then they handed it over. But I’ve never actually heard this used in IT, build-operate-transfer. I’m wondering, has this approach been successful, and what did you learn along the way when you delivered that?

Boris Renski: Yes. It definitely has been working for us.

One thing that we have learned is that I guess the promise of the transfer is probably more important than actually doing the transfer. I would say that less than 20% of the customers that we do actually go through with the transfer. Most of them just prefer to a kind of have that as an option in the contract, should the situation change.

It is common in the pockets of the IT industry. And the reason actually, again, why we are able to do it, and why we’ve been offering it is because one of the pockets of the IT industry works common as exactly like IT staff outsourcing.

So, back in the day, during this pre-first pivot story of Mirantis that I told you, what we do, I just mentioned, would sell talented engineers to the Silicon Valley companies. But the way we do it is, we proposed the same exact build-operate-transfer model in that we would staff an R&D center that is offshore for the customer.

We would basically implement customer’s business process and culture in the offshore center. We would run it for them, and then we’d give them an option to actually buy it out and take over. And what they’ll have is their own offshore center.

And that’s extremely common in that segment. And when it comes to building hybrid cloud infrastructure, it’s kind of not that different, because it is a bit of a complicated thing. A lot of it is about actually implementing the process and not just the software.

So, you need to have the people that know their organization, that know the change management process for updating the software, that know the existing systems that the customer has. So, it’s not just like, “Here is a piece of software – go use it.”

It’s a big kind of a cultural transformation in a lot of cases. We have the roots of doing that back in the IT staffing industry, and we’re basically been able to transfer some of that to actually the notion of building hybrid clouds and implementing all the necessary kind of a cultural process associated with that.

Transfer People

Michael Schwartz: When you transfer the, let’s say, the operation to the customer, do you still offer to transfer some of the resources?

Boris Renski: Some yes, but it’s a little bit different from the previous example, where I’ve told you it’s just primarily the people that your transfer. Here, it’s a little bit more software and process biased, so typically you made a transfer of a few people, but most of the time it’s the people that the customer already has.

It’s kind of like, when we start this process typically, we would require that a customer would dedicate a number of people that would be effectively integrated into our Ops team, and will help run that hybrid environment that we are to leave behind.

So, in a way, you could say that with transfer people, it is just that they were all on the customer’s payroll day one. For a period of about six months, they are effectively operating as an integrated part of our team. But then they get transferred back onto the customer’s operational management.

Transfer People

Michael Schwartz: For customers who have transferred off, do they continue to renew their software subscription? And I’m wondering about how your renewal rate is for those customers?

Boris Renski: It’s a good question. The renewal rate is pretty good. We look at the software subscription as kind of like a spectrum. If you look at our subscription business, we have three offerings within the portfolio: OpsCare, ProdCare and LabCare we call them.

The OpsCare is typically the tier that the customers start with before they have transferred annual operations in-house. And at that level, we give the customer an uptime SLA on the environment. And it’s our team in collaboration with the customer’s team that is following a process that is actually delivering on that SLA.

And then, the one down from that, ProdCare is more kind of resembling of a typical software subscription that you get from somebody like Red Hat or Canonical, where we’re basically giving SLA on the initial and ongoing response time, and provide customer to the continued access to like bug fixes, patches and things like that.

LabCare is the lowest level, where basically it’s kind of like 8 by 5, you just get barely any access to the support line but you still get access to the software updates. If there’s any severity, one issue that you encounter, we are responsible for producing a patch within a certain given time and giving of the update.

Most of the customers that we see go for the build-operate-transfer cycle, they would start on OpsCare, and then, they would downgrade to ProdCare, and then eventually LabCare.

But, I think it’s only been a couple of instances where they went ahead and just completely disconnected, and did not even do LabCare at all. I would argue that probably both of instances where they just decided to discontinue the cloud, or they just did the different direction, or something like this.

So, most of the time, they downgrade a subscription, but they don’t move away from subscription all together.

Team

Michael Schwartz: Obviously you have been used to building some of the team offshore – I’m wondering about what’s current strategy for building the team? Do you have a sort of central headquarters, and do you look to hire regionally? Is it very global, like, how do you meet the new demand?

Boris Renski: This is, again, one of the things that it’s kind of like it’s been hidden strength of the company, given our history that I’ve described, back in the day, core value proposition being building these distributive teams.

The area that we focused on kind of a building up is continuously changing, depending on the opportunity and market conditions. One of the big value propositions is cost-efficiency. We are able to deliver that cost-efficiency in part through having access to the global talent pool.

We have a tad over 500 people in the company, and most people are distributed across about 7 locations. Our HQ is in Bay Area in the Silicon Valley, but we have an office in Austin, where we do a lot of support.

We have an office in Poland, we have an office in China, we have an office in Ukraine, we have an office in Germany – basically all over the place.

The way we figure out where our staff is kind of continuously revalued. I’ll just give you an example. For instance, one of our competitors back in the day was Rackspace. And Rackspace is known to have a lot of good support people because their core value prop was fanatical support.

They’ve gone for some private equity acquisitions and restructurings and things like that, and they reprioritized some of the business directions, which, making a long story short, made it possible for us to go ahead and hire a lot of the people that were kind of like a fallout of this reorganization in Austin, Texas area, because this is where a lot of their support people were. We did this kind of a blitz campaign, and we built up a bunch of people in Austin to do the operations and support.

With these kind of opportunities, they continuously come around, and we tried to kind of recalibrate, and we tried to put emphasis on hiring in one area versus the other, depending on the situation.

Biggest Challenge For Company

Michael Schwartz: What do you think are the biggest challenges for open source software startups today?

Boris Renski: I can only competently speak to the challenges in the infrastructure space, which is where we’re focused on. And I think that the biggest challenge is figuring out the monetization strategy.

By that I mean, because the software is free, open source in the infrastructure space can be one of two things. It can be either a way to decrease your spent on R&D and leverage in ecosystem, that you can basically deliver particular platform more cost-effectively than proprietary alternatives because other people are building that software that you’re going to be reselling.

Or, even more commonly, it’s kind of like a marketing vehicle that will pull through some other value propositions. So, back in the OpenStack days, OpenStack was super hot – everybody wanted it. So, it was your way to get into an account and see if you can spread your wings there.

Now, it’s more like Kubernetes and solderless and things like that. So, you can grab onto Knative, or Kubernetes, or some of ours hot projects, and pick the interests of the Enterprise and then get in there. It’s a way to decrease your marketing and sales costs.

The software itself is free. You can use it to do one of those two things, but you can’t really make money on the software itself. There has to be something else that you’re selling. And that something else can be a datacenter space or hardware, which is what basically public cloud providers do.

People say that AWS is the most successful open source company out there because they built a 25-billion-dollar business by taking open source components and layering them as a way to sell commodity, datacenter, and hardware at the high margin.

In the case of Red Hat for instance, they sell support SLA, which is a more common approach, but that kind of boils down to selling people to a large extent.

There’s other more where you can sell, hardware appliances. Like a good example of that I think is Nutanix, where they’ve used a lot of the open source components to build their solution, but ultimately they are kind of pushing appliances as their main thing when they’re starting out.

Figuring out what that thing is, and understanding why you’re better at actually being able to deliver on that other thing than others, use core. For us at Mirantis, we were able to get some degree of success because we were always very good at selling people.

And when we layered things like OpenStack and Kubernetes on top of that, that made up easier for us and more cost-effective to sell these people because we were kind of like getting pulled through by what’s project being hot. And we were able to monetize this people thing. For public cloud, it’s hardware and datacenter.

So, the question is, what is it going to be for you that you’re going to be selling, because, for sure, it’s not going to be the software itself.

Advice For Entrepreneurs

Michael Schwartz: Any advice for the people, the entrepreneurs, who are starting these companies? Because you’ve had a couple of entrepreneurial experiences, so, just wondering if you have any closing advice for those poor souls?

Boris Renski: If you are starting a new company in the open source infrastructure space, I think you have to make a decision early on as to what your play is. And there’s generally two types of plays.

You can either focus on something important, industry-focused or vertically-focused value proposition, and build up a long-lasting business around it. And you can make that decision like Day 1, in which case, you should not tie yourself to any particular open source project or wave, but just focus on open source as a potential way of decreasing your expenditures on R&D and just stick to that strategy.

Or, alternatively, you can say that it’s going to be a two or three-year play, and I’m going to ride a wave, I’m going to ride like a Kubernetes wave, like what Heptio did.

The latter is actually, I would say, the play of the 80% of the VC-backed startups today. And I think that you need to be very conscious of what your play is and stick to it. What you don’t want to do is kind of try and mix between the two.

I would argue that we at Mirantis, for a period of time, were a little bit confused about “Are we like an OpenStack company, or are we an on-premise infrastructure company?” I think being very crisp on what you are out to accomplish, Day 1 and sticking to it, is key.

It’s easier to say, but it’s very hard to do when you’re actually trying to do it.

Michael Schwartz: Awesome! Lots of really, really good content and thoughts there. Boris, thank you so much for spending time with us today.

Boris Renski: Of course, my pleasure. Thank you, Mike.

Credits

Michael Schwartz: Thanks to the Mirantis team for helping to organize the interview.

Transcription and episode audio can be found on opensourceunderdogs.com.

Music from Broke from Free and Chris Zabriskie.

Audio editing by Ines Cetenji.

Production assistance and transcription by Natalie Lowe. Operational support from William Lowe.

If you have feedback or comments, tweet at us. Our Twitter handle is @fosspodcast.

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Next week, we interview Peter Mattis, one of the founders of CockroachDB.

Until then, thanks for listening.