Dave (7:57)

Maria Today we have four additional links for you to read at your leisure. A couple on partnerships between Telesat Orange and Space, Norway, SkyFi and Ursa Space, Airtel and SpaceX's Starlink and a financial announcement from Spire Global.

Maria Varmazes (8:12)

And a reminder that those links, in addition to being in our Show Notes, can also be found@spare.n2k.com just click on this episode title for more Hey T minus Crew. If your business is looking to grow your voice in the industry, expand the reach of your thought leadership, or recruit talent, T minus can help. We'd like to hear from you. Just send us an email@space2k.com or send us a note through our website so we can connect about building a program to meet your goals. Foreign.

Dave (8:59)

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Maria Varmazes (10:13)

Our guest today is Alvaro Alonso Ruiz, co founder and COO at leanspace. And I started by asking Alvaro what attracted him to the space industry and to start his company.

Alvaro Alonso Ruiz (10:27)

What I saw is that the space industry is amazing. Especially there's this new space movement, a lot of new companies spawning, doing amazing stuff. So on the one hand, I was very inspired by all the innovation going on. And on the other hand, I was appalled by the state of software in the industry. Especially because I had seen software in other verticals. And when I saw that space missions, they were state of the art in many technologies, but in software they were stuck decades in the past, I was amazed. I couldn't believe it. So that was kind of the driver for co founding Lean Space.

Maria Varmazes (11:07)

Tell me a little bit about what you've seen and maybe why are things the way they are?

Alvaro Alonso Ruiz (11:12)

Well, the space industry is inherently risky, so a lot of decisions are made to minimize risks, which makes sense, right? Especially because in the previous decades, space missions were done by engineers for engineers, if you know what I mean. All the missions were kind of R and D in a way. Every mission was a one off. They were reinventing the wheel over and over again. Everything was a custom implementation, there was massive redundancy being put in the spacecraft and also in the ground. And so they were trying to minimize risks all across. They were extremely expensive missions. They took forever. So, you know, like when finally you launched that satellite, nothing could fail. And it made sense in the past. Right now it doesn't make sense anymore. You see, for example, very successful companies like SpaceX, they operate in a completely different manner. They actually run their business as a software business. They launch a lot of satellites and some of them fail, but most of them succeed and they have very quick turnaround. They innovate constantly. It's like in software development, you work in sprints, you work with close feedback loops. You don't do waterfall approach, you do like agile approach. This is exactly the concept. And still in the space industry, while this kind of agile development methodologies have been around for like, I don't know, over 20 years, the space industry still operates waterfall. So you have missions that are defined at the outset. Every single detailed requirement is carved in stone, and only then you start development and then nothing can change. But of course things change because when you have A mission that lasts for years, requirements will change. So then things start to change and then it's chaos all across. Because introducing changes in a waterfall process is very complex. So what space companies have not realized is that they cannot keep on running hardware businesses because every company in the world is a software business. If you use software to deliver a service to your customers, if you use software to manage your paychecks, you use software to do your planning, to manage your emails, you are a software company, you just have assets that do things. But you run your business through software and you have to think as a software business. But in space, we are hardware focused and that's a limitation.

Maria Varmazes (13:59)

Yeah, that's the thing that I'm curious about. As I mentioned to you, before we started recording, I came from cybersecurity. So software is the world. That. And when I started doing this job, the differentiation I often heard was, well, that's bits, we're talking atoms. We're making physical things. We can't do that kind of thing here. Is that just a mental limitation? Is that just something. I mean, obviously they're different. I mean, I'm not saying they're not, but a lot of the pushback I've heard is, you know, we just can't do those things. It's just not possible in the physical space. Do you buy that? Is that, do you feel that that's not valid?

Alvaro Alonso Ruiz (14:34)

Yeah, of course not. Yeah, yeah, of course. No, of course not. Like all them, all the industries across the world, they're digitalizing. I mean, this concept of digital transformation is a thing. And even very aging industries like banking, for example, they are undergoing this digital transformation because they have realized the risks of staying anchored in the past are worse than the risks of actually implementing and introducing new technologies into their businesses. I think the problem in space is the mindset. Everyone says space is hard. It is. Or are we making it hard because something is? Yes, some things, no. For example, today I know of a constellation of earth observation satellites which is operated using Windows 95. Not kidding. Not kidding. So can you imagine, I mean, you have a background in cybersecurity. Can you imagine the risks these people are taking? It's insane. And when you talk to them and you say, hey, why don't you use, you can migrate your control center into a cloud, native cyber secure infrastructure, resilient. And they say, no, no, that's risky. And you're like, really? You're opening a system that is not maintained since 20 years. It's really frustrating. A few weeks ago I was Speaking at an event, I was on stage, and it was a panel on artificial intelligence of AI.

Maria Varmazes (16:13)

Of course, everyone talks about AI.

Alvaro Alonso Ruiz (16:15)

And it was the third time I was on stage talking about how can we leverage AI in the space industry? And it was extremely frustrating because it's like, how can we leverage AI if we are using technologies from the 70s when we're using disconnected systems that don't talk to each other, when operators are sending commands manually, literally typing the commands and sending them manually to spacecraft, you cannot use AI. We've missed a technological step. First, you need an infrastructure that connects everything together so you have all your data harmonized, standardized, usable, so that with this data you can actually train your AI models. Then after the outset of the AI algorithms, you need actionable insights that you can actually action. So you need a place where you bring it back, you bring back this output and you can do something with it. So you need this infrastructure that enables you to connect data in and out. And this doesn't exist in the space industry. Very, very few companies have something like this. They all have distinct systems, different technologies, incompatible. It doesn't work. So that was actually the trigger of me starting to be more vocal about the inherent limitations we see in the space industry. No one is doing anything about it. So I'm trying to step up and change things.

Maria Varmazes (17:42)

I think for folks who are outside of the space ecosystem, there is that general assumption that, well, space is either really, really behind or really, really advanced, one or the other, or both at the same time. But I don't know if there's that pipeline of talent going to the space industry from the software side. That's a whole other conversation. But I'm so curious about, as you said, that it's a mindset issue how we go about shifting that. I think there's so much to be explored there.

Alvaro Alonso Ruiz (18:07)

Let me answer first to a comment. You just made sure you have software talent entering the space industry. Because this is a question that was asked in this last AI panel. And the question is that this is part of the problem, because the space industry is plagued by aerospace engineers, not by software developers. So when a software developer joins the industry, and instead of working in APIs or microservices or AI, they have to maintain code written in Fortran in the 70s. I'm not kidding. This is the case.

Maria Varmazes (18:47)

I know. I believe it. It's a nightmare for a developer, though.

Alvaro Alonso Ruiz (18:50)

Yeah, we don't have good software talent entering the industry. All the companies we work with, the people writing the ground software, are typically aerospace Engineers, they don't know how to code and they are typically reusing libraries and things from way back because they're proven, they're validated open source. There's so many open source tools in the industry that people use. There's a huge risk. You open source libraries, some of them are right, some of them they're not because they might have a bug that someone introduced during the 90s and no one is maintaining this. No one knows and no one will know.

Maria Varmazes (19:27)

It's a huge technical debt. Yeah, technical debt is a huge problem. Yeah, I was going to say I'm imagining a software engineer looking for a really exciting job and the prospect of going, facing what you just mentioned, they have a lot of options. I'm not sure they'd want to take that on. I don't know how one fixes that. But anyway, I wanted to hear your thoughts. What do we do? It's not about me, it's about you.

Alvaro Alonso Ruiz (19:51)

The first thing we have to do is educate the market. And that's what I'm trying to do. Because I mean the problem is that it's a lack of knowledge. There's a lack of knowledge that actually modern software technologies reduce risk, they reduce costs, they reduce delays. There's a massive advantage that people need to understand. That's the first thing changing the minds. The second thing is that we need phased transitions because we cannot just like disconnect a control center, flying satellites and connect another one. It doesn't work. So we need a middleware layer that connects legacy systems with cloud based applications, kind of an integration platform. And that's what we're doing. At Lean Space, for example, we have an integration platform that can connect to all the hardware, all the different legacy software systems, and you can build applications with all this data that has been centralized. It also enables to break down monolithic architectures into microservices. And then the third thing I would say is like most of the systems in the space industry are based on premise because the cloud is like, oh, cloud sounds like dangerous or insecure or public. It's like security of my data. But actually a lot of times cloud providers have much better security than you have in your own basement. And some missions, of course, they need to be air gapped because of obvious reasons, but some don't need to do, don't need to be. So I think adopting hybrid cloud approaches and gradually migrate functionality as we are comfortable with or as the mission requires makes sense. So I think that's, that's how I would take it. And There are technologies out there that enable this transition, but the first step is actually willing to do so.

Maria Varmazes (22:02)

We'll be right back.

Dave (22:08)

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Maria Varmazes (23:03)

Welcome back. Hey, space cadets. The night sky has a rare, maybe kind of creepy treat for us tonight. A blood moon. A total lunar eclipse will occur and the moon will be cast in a deep coppery red hue. And the eclipse will be observable from the Earth's western hemisphere and will start in most places this evening, with totality expected in the early hours of tomorrow on PI day, no less. A total lunar eclipse is when the moon is completely in the Earth's shadow and it takes on a reddish hue as the only sunlight that reaches the moon has to first pass through the Earth's atmosphere. It's a phenomenon known as Rayleigh scattering coming into play there. Colors of sunlight that are associated with longer wavelengths scatter less and are able to make it around the Earth to reach the moon, while shorter wavelength colors scatter everywhere else and never make it to the Moon. So now you can explain it. When someone asks you why it's red during a total eclipse, we've included a link to see what time the eclipse occurs where you are. So send us your pictures if you're lucky enough to see it. That's it for T minus for March 13, 2025, brought to you by N2K CyberWire. For additional resources from today's report, check out our show notes@space.n2k.com we're privileged that N2K and podcasts like T Minus are part of the daily routine of many of the most influential leaders and operators in the public and private sector, from the Fortune 500 to many of the world's preeminent intelligence and law enforcement agencies. N2K's T senior producer is Alice Carruth. Our producer is Liz Stokes. We're mixed by Elliot Peltzman and Trey Hester with original music by Elliot Peltzman. Our executive producer is Jennifer Ibin. Peter Kilby is our publisher and I'm your host, Maria Vermazes. Thanks for listening. We will see you tomorrow. T minus.