CNCF, Arm Standardize AI on Kubernetes at KubeCon | Tech Field Day News Rundown: November 12, 2025

Vast weaves a deal. The vast crypto spectrum, HPE decides to go its own way. Red Hat makes some updates to OpenShift.

AWS is under the Sea. Pentagon is farming out ai. And we're gonna take a closer look at some of the announcements from Kon 2025 in this episode of The Tech Field Day Rundown.

Hello everyone, and welcome to the Tech Field Day rundown. It is November the 12th, and we hope that you're having a very happy lunch hour or whatever hour it happens to be, because it is national Happy Hour day. Who knew that, that that was a thing?

We're actually having a very happy hour here at Commvault Shift in New York City. Uh, it's, it's a lovely blustery day, uh, just basically like it always is. And joining me, of course, is my co-host for this episode.

Steven. Steven, it's good to see you again. It Is nice to be here.

I haven't been on the rundown in a while. Uh, those of you who, um, follow such things, you can mark that down on my scorecard because Tom and Al have been handling it so capably, but it's really nice to be back here for the rundown. It is because we've got a lot of news and some of these things are definitely right up Steven's Alley.

17 billion. It is a major step forward in AI infrastructure. The multi-year deal makes Core Weave Vasts largest customer, and expands the use of Vasts AI operating system, which unifies storage, caching, and data services to support large scale GPU clusters.

As AI workloads grow, this agreement shows that fast reliable storage is becoming just as important as any of the compute power Experts now expect storage to make up between three and 5% of total AI infrastructure spending, which is signaling its importance in the Gen AI era. Steven, you are intimately familiar with Vast Data, and as AI continues to grow, how does this deal help Vast Data position itself in the industry? Well, uh, obviously, uh, by having vast, uh, sign such a major customer, such a critical one for ai, it gives them a real leg up in terms not just of, uh, being part of the AI infrastructure space, but in sort of cementing their future in that space as well, because essentially they instantly become one of the most important components of the stack.

I expect that this will be a, this will continue to be an accelerator for Vast Data's growth. And, um, frankly, just on the face of it, it's nice to have such a big customer. The flip side of, I suppose, is that it makes Vasts even more reliant on the AI infrastructure world and on Core Weave specifically.

Uh, but I guess there's worse, uh, partners to connect yourself to. And, uh, frankly, if the, uh, checks are cashed in the money's flowing, uh, it sounds like a good move for them. One of the things that caught my eye of this announcement though, is that it's not just vast supplying, uh, storage to support Core Weave, it's that they're gonna be using some of the special features of the Vast platform for this.

Now, way back when Vast announced that they were gonna be more than storage, and they said that they were gonna have data, they were going to have, um, a, uh, event broker that they could use to, uh, support, uh, applications with structured data. Uh, they had Kafka, native Kafka inter interface. My question, uh, for Vast at the time was essentially, that's cool technology, but is somebody really gonna use this?

And is it really that much better than just using Native? And the answer is absolutely yes. In fact, uh, vast claims that they're about 10 times better at handling Kafka requests on the same hardware as just running Kafka na natively, which is really a major advantage.

And again, the importance of this shouldn't be understated. It shows that vasts pivot away from traditional storage and into data applications. And AI integration is not just functional, but it's really beneficial to customers.

And so, for that reason, I think this, um, says more actually in terms of the benefit to Vast than you might think. Um, you know, even beyond the fact that they now have a billion dollar customer, Tom Spectrum Lab's Spectrum Fusion platform lets organizations verify their cyber resilience using cryptographic proofs. This system tracks key tasks like backup and recovery, while AI agents monitor workflows and provide real time updates, the approach helps it teams demonstrate readiness, reassure boards and insurers, and improve recovery from cyber attacks.

What's your take on Spectrum Fusion? If you ask me what the most important thing about the blockchain, what its legacy is gonna be, it has absolutely nothing to do with any magical pretend money. And it has everything to do with the immutability of the ledger, because one of the things that we need more than anything else in it is the ability to say for a fact, the thing did or didn't happen.

And what this platform is allowing you to do is create a token that you can then share with auditors and insurers that say, for a given point in time, we met the requirements that you put in place for this. Now, why would that be important? And especially when you start talking about things like cyber insurance, well, I don't know if you're the underwriter for one of these policies, you're gonna wanna make sure that the company that you are underwriting did everything they could to prevent whatever it was from happening, from happening.

And this token kind of serves that purpose, if you will. So if I am a insurer, I would say, I would want you to use this platform. What you do is you go ahead and install it.

You run it, and it gives you the token. And the token says that, you know, on, I don't know, November the 12th, 2025, you met all of the requirements to be insured with our policy. And then two weeks from now, someone comes out with this massive zero day that, that nobody could have foreseen and violates all of your security policies.

Well, as an insurer, I know that at that point in time, you met what I needed for this. That's an easy, uh, claim to, to file, right? In fact, that's one of the things that their AI agents will allow you to do is file that claim automatically.

Uh, if you've ever worked in insurance or you've ever had to deal with insurance, you know how big of a deal that can be. But it also allows you to define what things you are going to be, uh, running these token proofs against. It's not just, do we have a firewall?

It's not just do we have separation of policy? It is, are the backups working? Have they been tested?

All of these other things that I would want my system to be able to prove beyond a shadow of a doubt that you're capable of doing, because that way everybody knows, and because they can be shared, because they can be rerun at any time, they help provide that proof. And this just leads to more resilient platforms. That's really what we want.

Insurance is there when the resilience fails, but if we can prove that it was resilient at some point in the past, then we know the gaps that we need to address and cover so that everything works out well. So I, I'm kind of happy to see this. I'm also kind of happy to see a solution that involves using cryptography that isn't about Monopoly money.

Steven, we had news this week that HP is gonna stop selling Qumulo scalability and W Software by March of 2026 to focus on its own storage pro platforms like Electra store. Once Zerto and GreenLake, the change simplifies HP's portfolio and strengthens its in-house offerings. Scalability and CCA will continue working with HPE through channel partnerships, though the move might impact their sales.

And we know that HPE has been working really hard lately to kind of simplify their offerings because they do offer quite a few things to their customers. What does this move signal for the industry? Well, um, maybe a little less than you might think.

Um, fundamentally, HPE has always been a good partner for many companies in the industry, including, of course, companies like Scale a Escalade, mlo, and cca. Um, in fact, I believe that, uh, scalability and HPE, uh, really sort of blazed a trail there. I I think that HPE must have been S scale's first major, uh, OEM, uh, their major channel and, and frankly helped build that company.

Uh, similarly, you know, CCA has had just tremendous success in the AI space. Uh, you know, Qumulo has a long, long history of developing great products as well. And of course, HPE has an OEM version of Vast Data as well that they sell in addition to their own Electra storage platform.

Uh, this change essentially is, uh, HPE saying, you know what? We should really be focusing on our internal, um, products and, and a little less on some of these partner products. But that doesn't mean that it's a fundamental change.

In fact, I suspect that Channel Partners, I mean, HPE obviously is one of the biggest channel companies out there. I think that their channel partners are gonna continue selling WCA Scale Qumulo and more on HPE hardware going forward. So I, I really wouldn't read too much into it.

Instead, what I think this is, is it is just sort of a cleanup of the way that HPE goes to market, the way that HT HPE works with, uh, both partners and OEMs and the channel, and shows that HPEs is increasingly confident in their own internal storage platforms. So overall, um, I don't think this is gonna have a huge impact on customers. I also don't think that it's really gonna have a huge impact on the companies that were named here that are, uh, allegedly losing access to HPE customers because it's not like those customers are gonna switch to something else.

They're probably going to be working with HPE and, um, you know, WCA or Scale or culo for the long run. Um, I, I think the one interesting aspect here is that HPE apparently is going to continue working, uh, with their OEM version of Vast. Now, I don't want this episode to sound too much like a, a cheerleading session for Vast, but boy, that does, uh, lead some credence to the fact that, uh, vast is sort of the golden child of the storage industry right now when HPE is continuing to work with them, even as they are separating themselves somewhat from some of these more traditional partners.

20 adds new AI tools, stronger security and better Edge support. Key features include AI workload support, post Quantum Cryptography, zero Trust, identity, and Easier Secrets Management. This update also expands ARM and Oracle Cloud Support BGP networking and two Node Edge deployments, helping organizations modernize applications and manage growing Kubernetes environments more efficiently.

Uh, what's your reaction to Red Hat's OpenShift announcements and the overall strategy that Red Hat has for OpenShift? I think it's important that this came out when it did, because it signals that Red Hat is not giving up on OpenShift. I know I was looking at my travel logs from, uh, years past, and it was only nine years ago that Steven and I were at, uh, the, uh, OpenShift Summit, uh, OpenStack summit down in Austin.

And of course, OpenShift is, is definitely related to all of that. But I think that this is, if Red Hat's gonna offer cloud in a box to people, it has to be a modern cloud in a box, right? You have to be willing to take on all the things that are available in, uh, Azure, in AWS, in GCE in any of those platforms.

And the fact that they're supporting Oracle Cloud will tell you that, oh, it looks like Oracle Cloud's actually coming along with all these deals that they've been making. So looking at the features like post quantum cryptography is kind of table stakes right now. We've seen this shift with a lot of people where they realize that the time to get in front of this problem is right now, because the implementation of, of post quantum algorithms is not gonna cost you anything right now.

It will cost you a lot whenever those data, uh, storage units are encrypted with older technology, and you have to burn CPU cycles to get them upgraded. Now's the time to do that. Of course, you know, you wanna talk about things like zero trust secrets management.

Yeah. That is, again, table stakes, right? You, you have to have some kind of an isolation mechanism for these workloads.

You have to be able to do secrets management, as we've learned from all of our friends that have done a number of presentations at Security Field Day. Uh, like one password, for example. If you can't do Secrets management, nobody's gonna rely on you.

Again, adding arm support, adding BGP support, adding two node edge deployments, these are the things that I would expect from a modern platform. And I know that the people at OpenShift have been working really, really hard to kind of be the alternative to doing things in the public cloud. They're your private on premises cloud.

And, and this gives me hope that this is not something that's just gonna disappear. Obviously with Red Hat and IBM behind it, it won't, but this can be positioned as an alternative for people who are under massive regulatory strain, that that cannot be in the public cloud or can't have the majority of their data. And that's especially true for people who are sensitive about having their, uh, data uploaded to AI clusters everywhere.

So, good news from Red Hat, if you're an OpenShift customer, I'm sure you're gonna wanna upgrade pretty soon because there's a lot of new bells and whistles that you're gonna wanna try out. The Pentagon is pushing AI adoption in the military, but they're expecting companies to pay for the development and train that AI themselves according to Defense Secretary Pete Hegseth, tech and defense firms, including Google, AWS Meta, Palantir and OpenAI are going to have to provide these contracts to the Department of Defense. But the basic training needs need to be done by the companies themselves.

The focus, of course, is on fast acquisition using commercial technologies and deploying AI in things like drones, autonomous vessels and other systems. The companies are supporting the effort, but experts are warning that they're gonna have to balance speed with quality and of course, shareholder expectations. Steven, do you think that the Defense Department is on the right track here, making the companies do all that training themselves?

Or should the Defense Department pony up if they expect the models to be trained? Well, I think that, uh, this is a little scary to think about. Um, you know, you, you don't necessarily want, uh, chat GPT deciding whether to shoot you or not.

Um, or at least I wouldn't want that. Uh, but on the flip side, I think that this is more about trying to figure out how we can leverage, uh, commercial technologies, as you said, for military applications and less about, uh, giving Claude a gun. Um, you know, that being said, uh, this is fairly typical for, um, government to work with the private sector in various different ways.

Uh, typically when the government has a, uh, job that needs to be done that's specialized that the private sector can't have anticipated, they do, uh, support that in many ways, including paying for development, uh, or building in, uh, you know, building it on a cost plus basis so that the private sector can meet the needs of the military that are usually dramatically different than civilians. Uh, I think that ultimately what we're gonna see here is, um, applications of the, of AI technology that are very similar to what you would find in the civilian space. Um, this is not going to necessarily be, um, you know, using a chatbot to do some things that you would maybe not, it would not be prepared for.

But that being said, there are a lot of companies out there that are actively working on developing military applications. Uh, you know, we've of course talked about, you know, uh, the big guys, you know, anthropic and AWS and Google Cloud Meta, Microsoft, Oracle. Um, Palantir is one company that has put in a lot of their own development resources to support the needs of government and the military.

And of course, there are others, um, specialized companies that are developing drone technologies. I was, uh, talking to somebody who works with one of them, um, in Ukraine, uh, recently. And, uh, they are doing just remarkable things with AI and drones, um, terrifying but remarkable things with the drones in Ukraine, uh, using AI technology.

And I imagine that that's pretty attractive to the US government as well. So really, I think that what this means is, uh, the US wants to be able to leverage AI as quickly as possible with in as many places as possible. And hopefully they will approach it in a way that is, uh, at least technically going to result in, uh, a usable and not, um, Skynet type product.

Tom Amazon Web Services has announced fastnet. It's first fully owned transatlantic sub-C cable. It links, uh, Maryland to Cork County Ireland.

It's set to go live in 2028, and it will deliver 320 terabits per second of bandwidth, which is enough to stream 12 million HD movies, which apparently is our metric for bandwidth. Now. Uh, this strengthens AWS's global network and supports growing cloud and AI workloads, uh, the 4,000 mile cable ads redundancy as well, uh, outside of traditional routes, improving resilience against outages or damage.

It's built with advanced optical switching technology, and it reflects, uh, AWS's push to get more control over their own in infrastructure in-house. Uh, what's your reaction to fastnet? Sounds like a fastnet to me.

It does, and this is a big deal for Amazon because this is their cable. They are not renting it from anybody else. They own this thing from Maryland to the island of Fastnet where there is a lighthouse and assuming some other things that are kind of awesome.

Uh, I don't know if they're gonna put the data center in the lighthouse, though. It's kind Of a cool coincidence that the island is called Fastnet, Isn't it? Like, it's almost like they did that on purpose.

Uh, here's the thing that I worry about with Amazon, though. Uh, one of the reasons why you don't see a whole lot of privately owned under sea cables is because they're hideously expensive. Uh, I did not notice in the article did Jeff Bezos get a Navy, because he's gonna need one in order to lay this cable.

It's 4,000 miles long. That is several meters from my back of the envelope math. But what's really important is the fact that it's gonna be armored, right?

Like you have to armor this thing to avoid, um, rogue navys from dragging their anchors on the sea floor and taking it out, or, or who knows what else. But that is not a cheap process, and you're gonna have to lay all that cable. I'm sure if they started now, they'll probably do be done in like three years when it opens up, Amazon's gonna have all of this massive bandwidth to still make people use US East one as the default instance.

Uh, I, I think what they need to do though, is they need to start selling this as you can start hosting these, uh, you know, production units and everything in Ireland or in European data centers. And, you know, you can move data back and forth as quickly as possible. Yeah, 12 million HD movies sounds like a lot, but how many AI workloads can you move?

Because one of the things that's cited in the article is the fact that AI workloads can get awfully bursty whenever they find a new source of data and bandwidth to, to jump into. And they're gonna have to do some really impressive things as far as like kind of metering all of that. I'm curious to see how, if this is an investment that pays off, of course, if I had Jeff Bezos's money, uh, I have to do something other than launching celebrity singers into space on rockets.

Um, this is probably something a little more pragmatic that Andy Jassy is really gonna appreciate, because it's gonna increase a w s's bottom line overall. All right, we, uh, had a couple stories we wanted to take a closer look at, because this week is coup con. It's in Atlanta, so we hope that you're all enjoying some peaches and, uh, Braves baseball.

Uh, but there's been a lot of announcements that have come out of, uh, KubeCon that we're definitely gonna wanna check out. The first is that the Cloud native computing foundation, CNCF has introduced to certified Kubernetes AI conformance program to standardize how AI and ML workloads are gonna be running on Kubernetes clusters. The program ensures workloads are portable across different environments, including hybrid and sovereign clouds, backed by companies like everybody's favorites, Google, Microsoft, Oracle, Broadcom, and Red Hat.

It aims to prevent platform lock-in and simplify large scale deployments with AI workloads increasingly managed by centralized IT teams. The initiative supports the magic word, interoperability, scalability, and efficiency through deployment across Kubernetes ecosystems. Steven, do you think that the CNCF has enough clout to standardize how we deploy AI on Kubernetes?

Well, I think they have enough clout to standardize how we deploy Aon AI on Kubernetes. I am not sure they have enough clout to standardize how we deploy ai, and I think that that's an interesting and important distinction to make. Essentially, uh, AI applications often run on, uh, dedicated platforms that, uh, have no Kubernetes in sight.

Some of them do, some of them don't. Uh, when they do have Kubernetes, uh, many of them have that somewhat hidden from the implementation, uh, from the, the, the higher level details. Some of them, uh, allow the customers to see the fact that it's, uh, that, that all that's running.

Um, I think that ultimately what this is, is it's a reaction by the CNCF to the fact that one of the most important, um, new workloads is not necessarily Kubernetes native. And the companies that you mentioned, uh, all have bet big on Kubernetes as the future of, uh, infrastructure. Uh, and so, uh, they wanna make sure that they're ready for that when it comes to AI applications.

So, uh, if you were cynical and if CNCF was a corporate entity, you might say, well, this is just a, a ploy for them to maintain relevance. But CNCF is not a corporate entity. In fact, CNCF is a pretty remarkable industry collaboration.

And I feel that in fact, this is not a cynical approach. I feel that this is, uh, an example of a need within the industry for a, uh, portable way to run AI workloads. It's a need or a desire within the industry to have AI and cloud share similar infrastructure.

And ultimately, I think it's good for the industry. And it's the sort of thing that CNCF ought to be doing. Hi, it's me, cynic Nic, but not for the reason that you're thinking, I'm actually cynical in the opposite direction because I love that CNCF has decided to do this.

They're like, we are essentially the stewards of Kubernetes. We need to keep Kubernetes relevant because, well, it's basically the cloud right now. What if you're running something in the cloud, it's probably running on Kubernetes.

The problem is that they see where the future is headed, and the future is crashing through the streets like a bull in a China shop, because AI doesn't care. It doesn't care about frameworks, it doesn't care about platforms. All it cares about is consume more, more power, more ram more storage.

And that doesn't play well with things that have frameworks around them because there's a way that we do stuff. And I think that C Ncfs basically saying, if you're gonna use Kubernetes to do ai, you've gotta make it play well with everything else so that it doesn't just basically act like a swarm of locusts and consume everything in sight. I wonder though, if the companies that they are targeting with this, everybody's favorites, Amazon, Microsoft, Google, Oracle, are gonna play well with that, knowing that if they make CNCF mad, they might lose future input into the way that Kubernetes works.

Because I got news for you folks. AI isn't the only workload out there. There are a lot of things that are still gonna be running on containers long after whatever the new hot thing in AI is, is put out the pasture.

So if I were the companies and, and I know you're watching this, uh, Larry Ellison, uh, char Andy Jassy, all of my friends don't make CNCF mad play. Nice. You can still have access to all the ram you can get your hands on.

Just, uh, just go with it a little bit. Here's another announcement from kube com 2025, and it's from our friends over at ARM because they highlighted their Neo verse platform and Google Cloud's new Axion in four A VMs, which are enabling energy efficient, scalable AI and cloud workloads on wait for IT. Kubernetes collaborations with CNCF partners like Harbor, OPA, Edify and AuthZ help developers build secure, portable cost-effective cloud native systems from edge to cloud.

The focus is on smarter, more sustainable architectures for modern applications. So we just talked about CNCF putting all this framework in place for Kubernetes, and now we have ARM saying, guess what folks? We're ready to adopt it.

Think this is a good move for arm. Oh, yeah. Um, yeah.

ARM has obviously, uh, come to dominate mobile computing. Uh, they are taking a serious stab at dominating, uh, desktop and client computing as well. Uh, they're an awful lot of ARM devices in the Edge network, and frankly, they are heading to the data center and AI as well with this, with this platform.

Um, ARM is very, very smart to recognize that the thing that keeps people from selecting different hardware platforms is often not hardware, but software. I mean, the hardware has to be good enough, but the, uh, software also has to meet the needs of, uh, developers and of end users. And that's exactly what ARM is doing here.

Essentially, they are working with the industry in a productive way to make sure that everybody can use their platform, and that leads people naturally to want to use that platform. Now, another aspect of this, of course, is the announcement that by Google that they're gonna be having their new Axion N four a, uh, cloud VMs, um, built on the Neo verse platform. Uh, we have seen, um, the proliferation of ARM-based instances in the cloud, but generally those haven't had the impact that we might have thought they would.

I think one of the reasons for that is because customers honestly don't really care about performance per watt. They just care about performance per dollar. And to this point, that has been a bit of a stumbling point.

It sort of blunted the impact of arm cores in the cloud, but if ARM can do more than, uh, the competing X 86 based platforms in areas like AI inferencing or, um, you know, other areas, if they can deliver the goods at less money, I think that that could be something that could be exciting to customers, especially if it just works. And that's the challenge. I think it is too, and I love that ARM is embracing this because, like you said, the optics around, uh, reduced cost per watt, per whatever don't really matter.

The electric bill is what matters. And the electric bill is a component of how much I'm gonna rent these things out to it. So if ARM really wants to make an impact in this, they have gotta figure out a way to cut this cost to the bone to make these things way more appealing to companies that are saying, well, where should I put these workloads?

Because if it's all running on Kubernetes, honestly, nobody cares, right? We're gonna compile it on whatever platform we need to use it for this week, but if you can consistently deliver the things that make it a lot cheaper than you are gonna want to embrace those platforms, right? We saw this originally with X 86.

It won because it was more efficient and cheaper than all the other options that were out there. And then it became the lumbering behemoth that it became. And now ARM is kind of sneaking into take some of that steam.

And if you don't believe me, look around your desk and realize that with maybe one exception, everything you are running is running on an arm core, whether it's your mobile device, your tablet, your laptop, and even if you have one of those X 86 laptops that's running a Redmond operating system, there's probably an arm core in it that's doing a lot of AI offload. So ARM is kind of the way that we're looking at this. And I quote, everyone's favorite, 1995 seminal movie Hackers.

Risk Architecture really did change everything, and it appears to be poised to take over the world. Uh, congratulations an Angelina Jolie and Johnny Lee Miller, you you live in our hearts forever. One more thing I wanna mention here at the end, Tom is, uh, we are at CubeCon with, uh, tech Field Day this week.

Uh, that's one reason that, uh, we are, uh, recording these things at a different time of day. But the other reason is because you and I are not at Cube Con. We are here at Commvault Shift in New York City this week.

Uh, Commvault's announcements unfortunately are embargoed past the date that we are going to be releasing this episode. So I want to give a shout out to Commvault thank you for hosting us, and we, I promise we will cover your stuff next week. Um, next week is also the day, you know, on, on Wednesday that, uh, Commvault's going to be live streaming their, um, or not live streaming, but streaming their, uh, announcements from shift.

And we're gonna be doing a live blog of those announcements on the Tech Field Day website. So, uh, we are very excited to be here at Commvault Shift this week, but, uh, we are not covering it on the rundown this week, but we will cover it next week. We take embargo seriously.

Mm-hmm. We, on the other hand, have had a number of other Tech Field Day presentations from, uh, CubeCon this week. Again, uh, the timing of the recording and production of this means that we weren't able to cover those on the episode this week, but I'm sure that we will be talking about some of those things next week as well.

So, just a brief program note, if, if you're wondering why it is that, uh, we're not talking about Commvault Shift and, uh, why we didn't cover the Tech Field Day at CubeCon, that's why. Yeah. And make sure you tune in for that live blog on the 19th, because I'll be sharing my thoughts about all this cool stuff that I know about that I can't tell you about yet.

But trust me, you're gonna wanna tune in. com for a lineup of all the events that we have coming up, because guess what, folks, we're getting close to the end of the year. You know what that means?

We're already planning for 2026. We have a lot of things in motion. We have a lot of events that are already scheduled.

com, you can see the list of those. I've got some stuff going on, so you has some stuff going on. Our good friend from down under Alistair Cook has some stuff going on.

Find the event that works the best for you and put it on your calendar so you don't miss out on that opportunity. Just like we know that you have a reminder to tune in to watch the Tech Field Day rundown every Wednesday, we love making these episodes for you. We love finding all the cool news that we wanna share with you, and then we post it to YouTube, uh, or, you know, maybe your favorite podcast application of choice.

Uh, there's lot of input that's been going into Apple Podcast, overcast recently, and we love to hear all about it. But we want you to tell everybody else what we do here. That means leaving us a rating and a review, all the stars, all of the thumbs up, tell people how cool we are, because if you do that, then we get put in front of more people who love to hear about the ins and outs of enterprise tech news.

Um, that's an underserved market. And, and I think we're doing most of the serving there. Uh, don't forget though, that Steven and I also have a lot of other things going on with, uh, other future and group properties.

I have a podcast that's related to Security, security Boulevard. We just released a new episode with my friend, ed Whedon. You are a regular, uh, guest on Textron Gang, along with my good friend Alan, who's a co-host on Security Boulevard.

And we just launched an AI podcast with fu with, uh, futurum, uh, and Techstrong as well. So look for utilizing AI in your favorite podcast application. It's me, uh, Nick, patience, Olivier Blanchard, um, Mike Fazar, et cetera, talking about, uh, AI in a similar vein to your Security Boulevard podcast.

Absolutely. We're gonna be back next Wednesday with all the news that was in the it week that we just finished up. And we'll be talking about Commvault Shift as well.

Uh, make sure that you tune in. But for myself, for Steven FoST, for Matt Garvin, who's been hanging out in the back, making sure all the cameras are straight and all the audio levels are recording properly. Thank you very much and we'll see you next week.

He's Really here. Stop poking here. He's really here.

We're not, we're in the same room.