Podcasts about OpenShift

Guest: Per Stene Language: Swedish Duration: 26.33 min Per Stene from Redpill Linpro gives an update on Kubernetes, OpenShift and container platforms four years after his last visit to the podcast. The conversation ranges from how Kubernetes has become standard in modern IT environments to why the platforms have simultaneously become more complex, expensive and more business-critical. Per also highlights trends such as edge computing, air-gapped environments, GitOps, Infrastructure as Code and how organizations are once again starting to look towards their own data centers for security and sovereignty reasons. A central question is how AI is changing the operation of Kubernetes, from monitoring and troubleshooting to the more automated platforms of the future. Kubernetes will not disappear, but developers will likely meet it through increasingly higher abstraction layers.

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Today’s headline news for Canadian IT solution providers: Dell’s ‘Modern Partner Platform’ brings AI directly to deal registration: Launching in the second half of the year, this unified portal introduces an “agentic partner experience.” Powered by a family of AI assistants, the platform connects demand signals, sales collaboration, deal registration, and pricing into a single interface. The impact on velocity: The new platform promises to reduce deal registration approvals from days to just “minutes.” It also features dynamic, real-time pricing—meaning partners can generate competitive, account-specific quotes without the friction of endless email loops with a Dell rep. AI matchmaking: Dell is using AI to analyze partner install bases and proactively surface cross-sell opportunities. In FY26 alone, Dell pushed more than 200,000 of these “demand signals” to its channel partners. Incentivizing a $6.1 trillion addressable market: Dell’s programmatic changes go live in August, aimed at helping partners capture an enterprise IT market where more than $4 trillion is delivered through the channel. Focus Accounts incentive: In a massive win for the platform MSP model, Dell is finally building a structured incentive that rewards partners for line-of-business expansion (e.g., cross-selling storage to a client device customer) rather than strictly prioritizing net-new logos. Differentiated base rebates: Partners will earn a premium rebate when selling strategic solutions. Dell explicitly named Dell Private Cloud, Dell Automation Platform, Cyber Resilience solutions, PowerStore, Z-Series networking, and premium Client+ products as the qualifiers. Advisory and SI recognition: Dell is formalizing a co-sell track that recognizes the influence of systems integrators and advisory partners who architect complex cloud and AI solutions, decoupling their reward from the ultimate hardware transaction. The ‘DeskSide Agentic AI’ sandbox tackles spiraling token costs: On the product side, Dell announced a massive expansion of the Dell AI Factory with NVIDIA, creating an on-premise development environment aimed at organizations suffering from public cloud API sticker shock. The economics of local AI: Built using NVIDIA NIM, OpenShift, and Dell Precision workstations, this secure sandbox allows developers to build and test AI agents locally. Dell claims this setup can reduce token spend by up to 87 percent compared to the public cloud, offering an ROI break-even point in as little as three months. Ecosystem expansion: Dell is also officially weaving Hugging Face, Mistral, xAI, Palantir, and ServiceNow natively into its validated AI ecosystem. PowerRack standardizes AI infrastructure: To help partners deploy complex AI infrastructure faster, Dell introduced a new turnkey, rack-scale solution for compute, networking, and storage. Speed to value: Designed for extreme rapid deployment, PowerRack allows partners to go from delivery on the loading dock to running live customer workloads in just six and a half hours. Read Full Transcript Hello and welcome to a special mid-day Holiday Monday episode of The Buzz from ChannelBuzz.ca. I’m Robert Dutt, and today is Monday, May 18, 2026. While you’re all hopefully back home enjoying Victoria Day, I’m here live from Dell Technologies World in Las Vegas, where Dell has announced a major overhaul of its partner experience, betting heavily that AI and new incentive structures will remove friction for the channel. The centerpiece is what Dell is calling its “Modern Partner Platform,” scheduled to roll out in the second half of the year. Chief Partner Officer Denise Millard says the platform is designed to connect demand signals, sales collaboration, deal registration, and pricing into a single hub. It delivers an “agentic partner experience,” relying on a new family of AI assistants to guide partners through quoting and post-order support. Critically for velocity, Dell promises this new platform will enable automated deal registration with approvals in minutes, alongside dynamic, real-time pricing that reduces the need for partner reps to negotiate via email. The platform will also proactively surface “demand signals,” using AI to analyze a partner’s install base and suggest perfectly timed cross-sell opportunities. On the programmatic side, Dell is launching new incentives in August that align directly with the platform MSP model. A new Focus Accounts incentive will reward partners for line-of-business expansion within existing accounts, rather than strictly prioritizing net-new logos. Also, Dell is formalizing a co-sell track that rewards systems integrators and advisory partners who architect complex AI and cloud solutions, decoupling influence from the ultimate transaction. Partners will also see a new differentiated base rebate targeting strategic solutions like Dell Private Cloud, PowerStore, and Cyber Resilience products. While the partner program announcements focus on how the channel goes to market, Dell’s Day 1 product announcements focus on what they are selling, highlighted by a massive expansion of the Dell AI Factory with NVIDIA. For the channel, the most actionable announcement is the introduction of a new “DeskSide Agentic AI” sandbox. Recognizing that public cloud API costs are spiraling out of control for developers building AI agents, Dell has created an on-premise, secure sandbox utilizing NVIDIA NIM, OpenShift, and Dell Precision workstations. Dell claims this local development environment can reduce token spend by up to 87 percent compared to public cloud alternatives, offering a break-even point in as little as three months. Dell is also formalizing the Dell AI Ecosystem, bringing validated solutions from players like Hugging Face, Mistral, xAI, Palantir, and ServiceNow natively into the fold. To support these massive AI workloads, Dell introduced PowerRack, a new turnkey, rack-scale solution encompassing compute, networking, and storage. Designed for rapid deployment, PowerRack can go from delivery to running live workloads in just six and a half hours, giving partners a highly standardized, rapidly deployable AI infrastructure offering. There’s more information on all of these announcement in the show notes or the blog post for this episode, and stay tuned to the site and the podcast all week for full coverage and interviews from Dell Technologies World. And if you’re a Canadian partner on-hand here in Vegas this week, drop me a note, I’d love to have a chat. That’s how we’re seeing the headlines today. I’m Robert Dutt for ChannelBuzz.ca, thanks for listening. Have a great Victoria Day.

In this episode, Ray Cochrane breaks down a reversible conductive glue from Newcastle University that could replace solder and finally make electronics recycling work. Additional stories cover China widening its clean energy lead, DeepMind’s AlphaEvolve scoring wins from genomics to Google’s database, Anthropic’s $200 million partnership with the Gates Foundation, Intel teaming up with McLaren Racing, and end-to-end encrypted RCS rolling out in beta. – Want to start a podcast? Its easy to get started! Sign-up at Blubrry – Thinking of buying a Starlink? Use my link to support the show. Subscribe to the Newsletter. Email Ray if you want to get in touch! Like and Follow Geek News Central’s Facebook Page. Support my Show Sponsor: Best Godaddy Promo Codes Get 1Password Full Summary Cochrane opens the show with a deep dive into Newcastle University’s reversible conductive glue, a water-based adhesive that could finally make electronics recycling economically viable. He frames the e-waste problem first: 62 billion kilos a year, with less than a quarter ever recycled. Then he walks through the silver nanoparticle chemistry, the lead-free angle on traditional solder, and the geopolitical stakes of critical mineral recovery. From there the episode pivots through energy, AI, hardware, open source, data research, space, science, and consumer privacy. A Reversible Conductive Glue That Could Replace Solder A team at Newcastle University has developed a water-based glue that conducts electricity well enough to replace solder. Unlike solder, however, the glue releases cleanly with a quick rinse of acetone or an alkaline bath. The breakthrough relies on silver nanoparticles suspended in a water-based binder. Consequently, components can be recovered intact, opening a viable path to electronics recycling at scale. Co-investigator Volker Pickert framed the second prize directly: solder has the best conductivity, but the best formulations contain lead. China Widens Its Clean Energy Lead A new Atlas Public Policy report shows Chinese firms accounted for 55 percent of $1.1 trillion in global clean energy manufacturing investment between 2019 and 2025. Battery manufacturing alone pulled in nearly half of that money. Meanwhile, U.S. companies have actively retreated from those same industries. With the Strait of Hormuz currently closed, supply chain ownership in solar, wind, and batteries matters more than ever. A separate Ember analysis showed Chinese solar panel exports doubled in March alone. DeepMind’s AlphaEvolve Scores Real Wins DeepMind published an update on AlphaEvolve, its Gemini-powered AI coding agent. The system cut genomic variant detection errors by 30 percent. Additionally, it lifted AC Optimal Power Flow feasibility from 14 to over 88 percent on the electrical grid. AlphaEvolve also found a better cache replacement policy in two days that would have taken human engineers months. Furthermore, it reduced write amplification in Google’s Spanner database by 20 percent. The pattern shows applied AI sticking, not as a chatbot but as a quiet optimizer. Anthropic and Gates Foundation Commit $200 Million Anthropic announced a four-year, $200 million partnership with the Gates Foundation across three pillars. The biggest pillar targets global health and life sciences in low and middle-income countries. Notably, the research scope includes polio, HPV, and preeclampsia. A second pillar covers AI in education across the U.S., sub-Saharan Africa, and India, in partnership with the Global AI for Learning Alliance. Finally, an economic mobility pillar focuses on agricultural productivity and crop benchmarks. Google’s AI Educator Series Launches Free Google rolled out the first 20-plus sessions of its AI Educator Series this week. The free AI literacy training targets the roughly 6 million K-12 and higher education teachers across the U.S. Modules are designed as short, snackable trainings teachers can finish in a prep period or a lunch break. Additionally, stackable workshops let educators build credentials over time. Importantly, the program requires no institutional subscription. Amazon Bedrock Prompt Optimization Goes GA Amazon Bedrock dropped its Advanced Prompt Optimization tool, now generally available across most major regions. The feature rewrites prompts to perform better on specific models and automates prompt migration when switching between models. Furthermore, a built-in evaluation feedback loop lets users benchmark against up to five models side by side. The default judge model is Claude Sonnet 4.6. Consequently, teams can stop hand-tuning string templates and focus on product work. Sponsor: GoDaddy Economy hosting $6.99/month, WordPress hosting $12.99/month, domains $11.99. Website builder trial available. Use codes at geeknewscentral.com/godaddy to support the show. Arm AGI CPU and Red Hat Go Production-Ready on Agentic AI Arm and Red Hat expanded their collaboration around Arm’s AGI CPU, which is Arm’s branding for its agentic AI chip family. The deal brings Red Hat Enterprise Linux and OpenShift to the chip as a production-ready stack. Hardware specifications include 136 Neoverse V3 cores, 96 PCIe Gen6 lanes, and 12 channels of DDR5-8800 memory in a 300-watt thermal envelope. Availability lands in Q4 through Supermicro, Lenovo, and ASRock Rack. Intel Becomes McLaren Racing’s Official Compute Partner Intel announced a multi-year deal as the official compute partner for McLaren Racing. The agreement covers the McLaren Mastercard Formula 1 team, Arrow McLaren IndyCar, and McLaren F1 Sim Racing. Trackside edge compute will power real-time race decisions, while Xeon and Core Ultra silicon drive Computational Fluid Dynamics and digital twin work. Consequently, design iterations that once took weeks now collapse to days. The deal puts Intel silicon in front of every CTO watching a Grand Prix. Rust Lands 13 Google Summer of Code Projects The Rust Project landed 13 accepted projects in Google Summer of Code 2026. Out of 96 proposals, a 50 percent jump from last year, the project selected 13. Notably, three returning contributors from prior years are back. Mentors flagged a noticeable share of AI-generated submissions as a growing challenge. Furthermore, the real bottleneck remains mentor capacity rather than funding. GitHub Innovation Graph Maps Digital Complexity Researchers used GitHub Innovation Graph data to predict GDP, inequality, and emissions through the Economic Complexity Index, or ECI. Countries are compared to kitchens; the more variety and sophistication in software output, the higher the score. Germany ranks first, followed by Australia and Canada. The U.S. lands at sixth. However, the dataset only captures public GitHub activity, leaving most proprietary software invisible. NASA and Eta Space Prepare Cryogenic Fuel Demo NASA is teaming with Eta Space on an in-orbit demonstration called LOXSAT, short for Liquid Oxygen Flight Demonstration. The nine-month mission tests cryogenic fluid management techniques required for in-space propellant depots. Launch is no earlier than July 17 aboard a Rocket Lab Electron from the Mahia Peninsula in New Zealand. Successful refueling in orbit could reshape what is possible for deep-space missions to the Moon and Mars. Stealth Magma Surge Under São Jorge Surprises Researchers Researchers in the UK and Spain published in Nature Communications on a 2022 magma surge under São Jorge Island in the Azores. The surge climbed from more than 20 kilometers underground to 1.6 kilometers below the surface. Surprisingly, most of the thousands of earthquakes happened after the magma stalled, not during the climb. Consequently, scientists are calling it a stealth surge and a failed eruption. A primed magma chamber now sits closer to the surface than before. End-to-End Encrypted RCS Begins Rolling Out Apple and Google led a cross-industry effort to roll out end-to-end encryption for RCS messaging. As of May 11, the feature is rolling out in beta on both platforms. Importantly, encryption is on by default and auto-applies to new and existing conversations. A lock icon in the chat indicates active end-to-end encryption. This quietly raises baseline privacy for billions of cross-platform messages. Cochrane signs off with the usual ecosystem mentions: GNC Insider at geeknewscentral.com/insider, the show newsletter, and modern podcast app recommendations at podcastapps.com. The post A Reversible Glue that could Replace Solder #1865 appeared first on Geek News Central.

Who survived the install, who made it to the desktop, and who learned the hard way that one little mistake will blow up the entire BSD box.Sponsored By:Jupiter Party Annual Membership: Put your support on automatic with our annual plan, and get one month of membership for free!Managed Nebula: Meet Managed Nebula from Defined Networking. A decentralized VPN built on the open-source Nebula platform that we love.Support LINUX UnpluggedLinks:

Hey yall, Alex here (with a scheduled post) I'm taking this week off to get married and celebrate life with family, and touch some grass, but wanted to share the awesome chats I had with some great folks at AI Engineer Europe last week. BTW - Yam and Ryan took over the live show today, if you didn't happen to catch that, please check out the live on our youtube channel! Ok, now to the actual content. The best thing about the AI Engineer conferences for me is the people I meet. I often have a chance to bring them to the live show (in fact, the live show we recorded there had the most guests yet on an episode! 4 guests including Swyx, Omar Sanseviero, VB from OpenAI and Peter Gostev) But often times I also have an offline chat. I find these conversation to be less about the weeks news, and more about the state of AI Engineering, and the guests themselves. Not quite Lex Friedman pod level, but a different vibe from our live shows. Sunil Pai - Cloudflare (@threepointone)The first conversation in today's pod is with Sunil Pai, Principle Engineer at Cloudflare. Long time followers of ThursdAI know that I love Cloudflare, they gave me my first big break when I was building Targum (which still runs on Workers), so I had a great time chatting with Sunil! This guy has had several lives. React.js core team at Meta (he self-deprecates — "I'm the one nobody talks about, there's a testing API I shipped that pisses people off"). Then did developer tooling and the CLI at Cloudflare the first time. Left to found PartyKit — open-source deployment platform for real-time multiplayer apps and AI agents, built on Cloudflare Durable Objects. Backed by Sequoia. Acquired by Cloudflare in 2024, and he came back as a Principal Systems Engineer (per his bio: "Worked at Cloudflare once, left and created PartyKit, came back wiser"). Also plays guitar (Les Pauls — it's all over his blog). Co-hosts a live show called Dry Run on Cloudflare TV with Craig Dennis.Our conversation was a very fun one, ranging from Cloudflare agentic offerings, to how engineers should think about writing/reading code in 2026. I had a great time chatting with Sunil and I hope you enjoy getting to know him!Sally Ann O'Malley - RedhatThen I had the pleasure of chatting with Sally, who's a Principal Engineer at Redhat and contributor to OpenClaw. Sally has one of the more unusual paths in the speaker lineup. Started as a schoolteacher, did a stint at Trader Joe's, then moved to Westford, MA, discovered Red Hat's HQ across the street, and went back to school for a second bachelor's in software engineering at UMass Lowell. Joined Red Hat in 2015, has been there a decade. Worked across OpenShift teams, integrating Kubernetes and Podman into the platform. Recent projects span Image Based Operating Systems, Podman, OpenTelemetry, and Sigstore. Also an instructor at Boston University's Faculty of Computing and Data Sciences and an organizer for DevConf.US. Won the 2025 Paul Cormier Trailblazer Award at Red Hat. Currently a founding contributor on the llm-d project — distributed, scalable, high-performance AI inferencing built on K8s. Heavily involved in Red Hat's InstructLab collaboration with IBM (the small-model distillation system using IBM Granite + Llama).Sally and I had a great conversation, two high energy personalities met! We geeked out about our OpenClaw agents, securing your Clankers, how it is to maintain OpenClaw, and everything in between! She was so stressed about the recording, but dare I say, this was one of the more natural guests I had on the show! I hope you enjoyed this format, please let me know if the comments, and I'll see you next week! — Alex This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit sub.thursdai.news/subscribe

Ryan MacDonald, country leader for SAS Canada Recorded on site at SAS Innovate 2026 in Grapevine, Texas, today’s In The Channel features Ryan MacDonald, country leader at SAS Canada, in a wide-ranging conversation about what the week’s major announcements mean for Canadian organizations – and where SAS sees its channel and partner opportunity growing. The conversation opens on the energy at SAS Innovate, which marks the company’s fiftieth anniversary, and what the announcement lineup – including the new SAS AI Navigator for AI governance and the expansion of agentic AI capabilities across the Viya platform – means for the Canadian market specifically. MacDonald describes Canadian enterprise AI maturity as strong in intellectual capital but still building toward consistent economic output, with the governance and trust framework a necessary foundation before organizations can scale. He draws a direct line between Canada’s regulatory environment – OSFI E-21 in particular – and the practical operational pressure organizations are feeling as model validation volumes have grown from two a week to multiple per day. On the competitive landscape, MacDonald addresses the challenge from Microsoft Fabric and Databricks with an argument about SAS’s existing footprint in business-critical decisioning layers – often invisible infrastructure organizations don’t always realize they’re sitting on, and an upgrade path through Viya designed to deliver incremental value rather than a rip-and-replace. The conversation also covers the evolution of SAS’s channel strategy, the managed services opportunity in a data sovereignty environment, and the MCP-based openness that is letting external AI agents call SAS analytics directly. Read Full Transcript Robert Dutt: Hello, and welcome to In The Channel from ChannelBuzz.ca, bringing news and information to the Canadian IT channel for the last 16 years. I’m Robert Dutt, editor of ChannelBuzz.ca, and your host for the show. This week, I’m coming to you from Grapevine, Texas, where I’ve been on the ground at SAS Innovate 2026. It’s a significant week for SAS Institute on a couple of fronts. The company is marking its 50th anniversary this year, and the announcement lineup has been one of the more substantive in recent memory, with major moves in AI governance, agentic AI across the Viya platform, and a meaningful shift in how the platform opens up to external AI agents and frameworks. My guest today is Ryan Macdonald, country manager [CHECK: title recorded as “country manager” – should be “managing director” if you want to punch in] for SAS Canada. Ryan’s been with SAS Canada for about a decade, and has just stepped into a role leading the country this year. He has a front row seat to some significant strategic changes – the move to Viya, the expansion of the partner and channel program, and now what I think is a genuinely important moment as AI governance moves from theoretical concern to practical operational requirement, particularly in Canada’s regulated industries. We cover a lot of ground – what this week’s announcements mean for Canadian organizations, where Canadian enterprise stands on AI maturity right now, the OSFI E-21 story, how SAS is thinking about its channel ecosystem and the mid-market opportunity, and a candid conversation about managed services and data sovereignty. Let’s get right into it. My chat with Ryan Macdonald. [MUSIC] Robert Dutt: Ryan, thanks for taking the time, and what I’m sure is a busy week for you. Ryan MacDonald: Yes, of course. Thanks for having me, Robert. Robert Dutt: You guys turned 50 this year, and it feels like one of the bigger product lineup announcements at Innovate in a while. Curious what you felt from the room. What’s the energy, what’s the vibe that you’re getting from this year at Innovate, especially given that 50 years of SAS framing? Ryan MacDonald: I agree with the energy you’re feeling. Certainly a ton of energy around our 50th and just what we’re seeing in terms of AI tooling and where we fit into that ecosystem. So lots of conversations about the data estate, how that’s evolving, and then just really looking for the reality check on where practical value lives in the new AI ecosystem that’s being framed around, especially for enterprise technology stacks. Robert Dutt: Look at the announcement stack this week. You’ve got Navigator for AI governance. You’ve got the agentic AI expansion in Viya, the various industry solutions. Curious – and I’m sure you’ve seen some of these before they were announced to the public and been following their development – what is kind of activating your Spidey senses in terms of, “ooh, that’s going to play well at home right now.” What are we seeing as sort of the big early day opportunities out of those innovations? Ryan MacDonald: Certainly in Canada, the regulatory domain around model risk management and model management and lineage and explainability is front of mind for everybody. I think that’s the major limiting factor in terms of proliferating cost of AI, in terms of actually calculating a per unit cost of running a model or introducing intelligence to something that was maybe traditionally rules-based. And so I think not only is there a regulatory driver, but people are seeing that as a practical constraint. So a lot in the governance and trust domain is certainly a hot topic. Robert Dutt: And that kind of speaks to where I wanted to go next, actually, which is you guys have been in Canada across verticals for a long time, obviously. Curious how you would describe the overall kind of AI maturity of the Canadian market right now. Are we kind of leading, lagging? Or is there something distinctly Canadian to it? Ryan MacDonald: Yeah, great question. This is close to home. We have the benefit of working with thought leaders in AI, folks like Ajay Agrawal. And just knowing the pedigree of intellectual property around this conversation in Canada, we have so much there. Of course, Geoffrey Hinton and Ilya Sutskever and the folks at U of T have just delivered so much to this community. I think that said, enterprise adoption and converting this into economic output is still something that we’re figuring out. So I think our investments generally, relative to peer groups around the world, we’re still a little behind. I think we’re doing some advanced things. There are some exceptions to this, where use cases are at the forefront of what’s being delivered globally. But generally, I think the data estate and this trust dynamic and the need for establishing a scalable framework for trust and governance – it’s a responsible thing to do. But relative to other geographies, it’s setting a foundation before we really run away with some use cases and deliver. Robert Dutt: One thing we’re tracking – I’m sure a lot of people are – is the idea of AI initiatives that get a start and a lot of fanfare and then fizzle out before hitting production or certainly proving their worth. I’ve heard a lot of the framing of the idea of trust and governance as kind of the growth driver, rather than the compliance tax. How is that hitting in Canada? And is that any different than what you’ve seen in terms of reactions and feeling and overall motion in the states or elsewhere? Ryan MacDonald: I think there are certainly differences in the tone of this conversation. For me, the purview is mostly north and south of the border – the US and Canada. But I think in Canada, we have a regulatory domain that is really prioritizing these things. So it’s not optional for a lot of – especially in a regulated market, this isn’t really a luxury you’d have to say, do I comply with this or not? But I think it’s also putting a per unit cost parameter on this for folks that is important. We’re seeing a huge proliferation of AI. Everything – your microwave, your lawnmower, everything has some sort of AI enablement component to it. Is it necessary? Are you getting the appropriate uplift? And these teams that are validating and pushing these models through the organization – what we’re hearing from them – this went from two a week, to a month, to two a day, five a day, ten a day. And so the systems – it’s not just a luxury or a question really of the ethics. Are we doing the right thing? Is this responsible? It’s a framework that’s required for the validation process, even just table stakes, to really scale through the organization. Robert Dutt: To that point, in Canada we’ve got financial services, and particularly we’ve got OSFI E-21 coming up. That’s pretty scary – things attached to it if you’re not hitting the bar. Are you seeing that create urgency? Or are customers still in a wait and see kind of space around that? Ryan MacDonald: I think the regulatory conversations there are interesting. There’s a lot of assessment of what peers are doing. And I think OSFI, to their credit, really listens to the community. Rather than setting a standard blind lead, just based on their intellectual property and what they see as being a requirement, they really listen to the community and measure from where everybody is, taking stock of that. So I don’t believe there’s a lot of fear and panic. I think organizations – as we did a lot of work around E-21 [CHECK: transcript rendered as “E23” – confirm on playback] specifically in this space – they were really well prepared. They had some ideas on how to make this more efficient, really focus on the materiality of where the risk lives and develop a framework that’s consistent with the risk posture in other domains. And I think that’s really – nobody was suggesting, “hey, this isn’t a good idea. This is too much pressure. This is putting a cost burden on us.” That wasn’t really the dialogue. Robert Dutt: Beyond financial services and other regulated industries especially, what are you seeing in terms of how customers are wrestling with AI governance right now? Ryan MacDonald: I think the scale of maturity across industries just varies so greatly. You have some organizations that are really just getting started, and they’re acknowledging that. In some of the roundtables we’ve had the benefit of participating in, some folks are trying to find their first step in AI. What does this even mean? They’re trying to find the right resources that can guide them. They’re still building their technology estate. And then, conversely, you have folks that are, as we spoke about earlier, leading the world – the global community – in terms of things like automated decisioning frameworks and integrating what were previously siloed processes. We see this in risk and fraud domains merging together. So I think we’re seeing both ends of that spectrum in Canada, certainly. Robert Dutt: Analytics has become a crowded space lately – with Databricks, with Snowflake, with Microsoft Fabric getting in there, all in territory that you guys have been in for a long time. How do you make the case to Canadian organizations that have been told, especially by Microsoft, “hey, you can just have analytics as part of what you already have?” What’s the competitive message there? Ryan MacDonald: Yeah, that’s a regular conversation for us, of course. I think what we really offer institutions, especially given the scale of the organizations we support – and we work in almost every major industry, every major enterprise in Canada – we offer a very different risk posture in moving through this process. So they may have what were traditional analytics with SAS. Maybe we had dabbled in what was previously BI, something like that. But for a lot of institutions, we support business-critical payload. There is a core application to their business that’s being delivered with a component of SAS. And oftentimes, as our relationships diversify across the organization, maybe we have a specific technology sponsor that helped build this alongside their business counterpart. Maybe they’ve moved on. And that decisioning layer is sort of obfuscated. So we spend a lot of time identifying – hey, is this what looks like ETL work potentially, in a report or an assessment that’s performed? Is this really a decisioning layer in your organization? And that’s what we’re really finding is there. And what folks are really interested in is taking that framework – what was previously identified as legacy SAS – and seeing what we offer in terms of Viya. It’s scaling far beyond what the competition can offer in terms of decisioning frameworks and automating process and delivering core value. A lot of the AI discussion is focused now on where are you seeing ROI? How long do we have to wait? What is the roadmap to finally get something out of this? And I think that’s really the core difference. Yes, there’s a lot of tools. It’s a crowded space. The competition is fierce and they can do some very exciting things. I think what we offer organizations is really the opportunity to do those same things and more, and to take your current investments, your current intellectual property, through that framework – which delivers value incrementally rather than a build within a complete new paradigm. Robert Dutt: One of the announcements that really caught my eye this week was the addition of the MCP – in that essentially you guys are opening up the analytics engine to external AI agents like Claude to call it directly. It seems like a pretty significant shift in terms of thinking about openness, thinking about consuming SAS from wherever folks want to consume it. What does that motion mean for the Canadian organization and for your Canadian customers? Ryan MacDonald: I think this is an extrapolation of what we spoke about earlier, in the sense of we are providing these deterministic decision frameworks to these organizations today. And so we talk about this almost in the sense of the Apple/Android paradigm. This was a previously closed ecosystem. The SAS code base was proprietary. The compute infrastructure was proprietary. And the open source motion was the first move here – running Python and R and other code frameworks natively within SAS is something that we’ve supported now for years within Viya. And it’s an extrapolation of this – meeting our customers where they are. SAS did not endeavor to compete directly with the frontier labs and build LLM models. But we certainly see the benefit – this is providing the market the productivity increase, the creativity of use cases, and what this adds to decisioning frameworks. I think the shortcoming is still the deterministic component, where something can be built in a hard and trusted capacity, presented to a regulator with the appropriate lineage. That’s really where we see these worlds coming together. So I don’t think it’s a great strategic decision if SAS were to impose, “we have one specific framework, one partner in this space.” We’re seeing, in addition to the frontier labs, a lot of custom work in this space as well – enterprises that are building more small language models around their data sets. So imposing this integration framework, I think, allows us to really meet customers where they are. Robert Dutt: A few years ago there was a flurry of things going on on the channel side for you guys. You brought on TD SYNNEX as a distributor. I believe it was a worldwide, not Canadian-specific figure that you were going for – 30% of contribution through partners. Where’s the channel scene at for you today? How would you characterize where you’re at against those goals and others? Ryan MacDonald: I think we’re still making progress in that domain. The channel business is still growing very aggressively. It’s a big shift to turn, frankly, in terms of getting the allotment of customers we had when we segmented what work was going to the channel, how that was going to be developed. And we compare ourselves to our peers in the industry – they’ve been at this for a lot longer. So just the maturity continues to develop. I think we’re seeing great progress, great feedback from customers in terms of the way that the channel is able to support them. And we see proliferation of niche players here that have come out of the woodwork that are very industry-specific. So I think that’s really the opportunity – where we had a general technology-based approach for certain industry segments, what we’re seeing is these channel partners can really tie together these business outcome-driven discussions in a way that was much more expensive and difficult for SAS to scale to. Robert Dutt: What does the community look like today in terms of scale, profile of partners, what they’re doing, and where do you see that evolving over the near future? Ryan MacDonald: I think we’re seeing this change very quickly with the advent of AI in terms of what use cases are being prioritized. I think in Canada, a lot of organizations have hit a wall in terms of understanding their data foundations – they’re not necessarily ready to scale them towards all the outcomes they’re seeking to deliver. And so channel partners are that domain. What are our peers doing? And this is GSIs and niche consulting firms and everybody in between. So we’re really seeing those conversations take shape of almost a reset of the roadmap, a reprioritization of how they’re building out their target state ecosystem. And that industry expertise is, I believe, the real differentiator. There’s a lot of competition. It’s a crowded space in that sense. So having an outcomes-focused point of view, whether that’s from SAS directly or a channel partner, is really important. Robert Dutt: Is the changing nature of what you guys are focused on in terms of AI governance and all those kinds of things that we’ve been talking about changing the definition of who you’re working with as a partner? Or is that something that’s likely to happen in the near future? Ryan MacDonald: I don’t think it’ll necessarily change. We might add some things to it, but they’re really part of the same conversation. I don’t think you can have a conversation about scaling AI without a discussion about the governance framework. And in a lot of cases, model inventory work, and just being the core platform of delivering models in this decisioning layer, is something that SAS had a lot of experience and an existing footprint within. So I think it’s really germane to the way we’ve been working with these customers today. Robert Dutt: How does the service mix – how they actually bring this all to market as partners – change as kind of what you’re going after changes? Ryan MacDonald: I think there’s a lot more consultative work right now around these outcome-focused and prioritization discussions. So I think it certainly is changing. And if you’re seeing this sort of increased competition in the technology domain and more commoditization of certain tool sets, it just puts more weight on – how do I really navigate? It crowds the pathway and creates more obstacles in terms of delivering outcomes. And so I think just refocusing on outcome-oriented discussion – and a lot of times these are deep partnerships between a niche consulting vendor, or somebody that now is a channel partner to SAS, and these firms in sectors across Canada. So it’s not necessarily changing the way we’re working with them. It’s changing the prioritization of the discussion, putting consulting maybe ahead of technology. Robert Dutt: Before we sat down to record, just as we were getting to know each other, you mentioned that part of your path through SAS Canada was you had managed services, at least for a while – and I believe that to be internally. How has that shaped, and how does this moment shape, how you think about working with partners who are in that managed services kind of motion? Ryan MacDonald: Yeah, that conversation is changing everywhere in the world. The political landscape, of course, is relevant here – in terms of we’re seeing some location dictate where customers are willing to send or host data. We’re seeing geo-repatriation in that sense. We’re seeing movement to the cloud change the dynamics of the cost model, what folks are seeing in terms of stable applications that don’t necessarily need the scalability or proximity to data. We’re seeing them pull some things back on premises and build clouds internally with OpenShift and other technologies. So I think it’s a cycle like most things in technology, where we’ve had the gold rush of moving everything to the cloud. And I think especially enterprise customers are now deciding not only how do they divide that workload amongst hyperscaler partners, but what is appropriate for internal clouds, which are now growing in popularity. And I think in Canada, we’re not seeing a huge disruption in this space, but we’re seeing a lot more of our business grow in terms of managed services. And as we talk about more outcome-driven engagements – less just providing raw access to the technology – the managed service really bridges the gap in terms of the various integration points that need to be managed along the way. And so it’s not just simply providing the infrastructure and application support. We’re seeing the managed service domain, especially around SAS – where this is not a one-size-fits-all approach – really extrapolate into “can we help you really derive your outcome” with expertise in either transformations of data, or we’re providing models now in terms of a service offering, in addition to consulting work of building models custom to each application. So that’s really evolving quickly. Robert Dutt: One of the trends that we follow a lot is this move across the industry to look at partners less as a direct, straight-through channel and more as an ecosystem – a lot more multi-partner engagements, especially given where you guys sit in the complexity and custom nature of a lot of what customers are asking of you. How are you guys thinking about that ecosystem, multi-partner play? Ryan MacDonald: I think the list of partners is generally growing as we talk about extrapolating into channel and SAS’s ambition to have, as you stated, 30% of our revenue flowing through the channel in Canada. I think the customer really dictates the specific mix. And so customers in large enterprise have a preference of GSI and specific domains. And what we’re seeing more is the introduction of niche players alongside GSIs, where typically that was binary previously. They would typically – let’s say they work with Deloitte or EY, for example – that would be their preference to continue in that direction. And now we’re seeing them want to leverage the scale those organizations offer, but really like the thought leadership and expertise delivered by a niche partner, and want to bring us all together. So we’re seeing a lot more partners enter the conversation, which I think is very healthy for the competitive domain and just in terms of getting to specific outcomes very quickly. Robert Dutt: The traditional sweet spot for SAS has been clearly enterprise, and Canada’s a very SMB-heavy nation, obviously. But a lot of the stuff that’s going on right now between the Viya SaaS model and the stuff going up on GitHub and the move towards managed services suggests that there might be even more of a mid-market play than before. I’m curious what you see in terms of what a Canadian reseller can realistically and credibly pursue right now. Ryan MacDonald: That has been the way the economy has been structured in Canada for decades, of course, and something that I think our channel strategy really celebrates and prioritizes. SAS – it’s hard to work both ends of the spectrum. And so our legacy of working with enterprise customers, to explore some of the topics we’ve covered in the regulatory domain and how that takes shape, the reach to SMB customers has been something that we’ve candidly struggled with at times. The channel is really the resolution to that. So we’re seeing, as we talk about more entities in this space, the mix of consulting partners or partners in general proliferating – that’s really where we’re seeing it, down more towards the SMB segments, less on the enterprise side. Robert Dutt: Acknowledging that there’s going to be a wide range of things here, and it may even depend partner to partner, but looking at the channel as an aggregate – what do you need more of from your partners right now in terms of areas of focus, in terms of opportunities to be going at, in terms of skillsets? Ryan MacDonald: I think because we are trying to aggressively pursue this market in Canada and service this customer base – which, again, the channel is just better suited for, all around – to me, it’s the feedback loop. That’s something that we challenge, of course, our frontline in an enterprise setting. You have a consistent flow of communication that’s bidirectional. We’re getting feedback on what’s important to them, what they are doing with the platform at times in our tool sets. And having that flow through an additional intermediary is an additional step in the process in the channel segment. But I think that’s really important – just to make sure we’re collecting feedback not just from channel partners, but direct from customers – their experience with SAS, how our channel partners feel in terms of support and enablement, pricing and mechanics and the rest of it as well. Robert Dutt: Curious what you see success at SAS Canada looking like over the next 12 to 18 months. What are the conversations you want to be having that you aren’t yet? What are the measurements that you’re looking at? Ryan MacDonald: We have been growing the business – in terms of revenue, of course, is always important to us – but influence in the market, I think, is something else. SAS, having such a – as we celebrate 50 years – our legacy is something we’re incredibly proud of. It’s afforded us the opportunity to build these great partnerships in Canada, all across the country, various enterprises. I think at times the double-edged sword there is they may equate us to the way they had built with SAS previously and don’t necessarily take stock of some of the things you’re seeing us bring to market today and announcing here at Innovate. So I think that is really what we look for – not just in terms of revenue growth and are we delivering more outcomes and scaling the progress with these customers. Are we really – are they delivering within the new framework? Are we changing the narrative in terms of what they see from SAS and who we are to them? Robert Dutt: My last and definitely most important question – how many dinners did you have last night? Ryan MacDonald: I had one dinner. Robert Dutt: One? One dinner. Oh, that’s an accomplishment. I appreciate you taking the time, Ryan. Thanks. Ryan MacDonald: Thank you, Robert. Really, really nice to meet you here today. Thank you, I appreciate your time. Robert Dutt: There you have it – Ryan Macdonald from SAS Canada. I’d like to thank Ryan for his time. This was our first in-person recording with the new setup, and I think you can hear the difference. And thank you for listening. A few things I’m taking away from this one. First – the AI governance story in Canada is moving faster than it might look from the outside. Ryan’s framing stuck with me: the volume of models organizations are pushing through validation has gone from two a week to five to ten a day. The governance framework isn’t a compliance tax – it’s the operational infrastructure that makes any of this scalable. And for Canadian financial services firms, OSFI E-21 isn’t on the horizon anymore – it’s here. Second – SAS’s competitive argument is more interesting than the standard “we’ve been around longer” play. The pitch is that there’s already a business-critical decisioning layer in your organization that’s been built on SAS. And the real question is whether you’re going to upgrade and grow from that investment, or build something new from scratch alongside it. For a lot of Canadian enterprises, that’s a conversation worth having. And third – Ryan was candid that the direct sales model doesn’t reach the SMB, and the channel is the answer. What’s interesting is where the growth is coming from – niche, industry-specific partners alongside the big GSIs, with customers already wanting both in the room. If you’re a Canadian reseller or systems integrator with deep vertical expertise, SAS is worth a conversation. We’ll be back tomorrow with more from on the ground here at SAS Innovate 2026, as we chat with the global channel chief at SAS Institute, John Carey [CHECK: transcript rendered as “John Kerry” – confirm on playback before publishing]. If you found this one useful, follow or subscribe to In The Channel from ChannelBuzz.ca. We’re on Apple Podcasts, Spotify, YouTube, and most of the major directories. Ratings and reviews are always appreciated and genuinely help other people in the channel find the show. Until next time, I’m Robert Dutt for ChannelBuzz.ca, and I’ll see you in the channel.

What does bootc look like when it's actually running in production, not just in a lab? James Harmison joins the Fedora Podcast to talk about building custom bootc images across wildly different contexts: NVIDIA drivers, AGX Orin hardware with custom kernel RPMs, replacing RHCOS images in OpenShift, and even a stripped-down SteamOS-style couch gaming rig. We also get into his contributions to the Chunkah project and the real-world UX conversations shaping where bootc goes next. The Fedora Podcast brings you exclusive interviews and deep dives with the innovators and contributors who make the Fedora community amazing! From cutting-edge technologies to the production of the Fedora distribution itself, we chat with the minds behind it all. Whether you're a longtime user or just curious, there's always something new to discover in the world of Fedora.

Dans la course mondiale à l'intelligence artificielle, un nouveau critère s'impose : la capacité à faire tourner des modèles à grande échelle… sans exploser la facture énergétique. C'est le constat posé par Sunghyun Park, PDG de la start-up sud-coréenne Rebellions. Et c'est précisément sur ce terrain que l'entreprise entend se positionner.Fondée en 2020, Rebellions vient de dévoiler deux solutions destinées aux centres de données, ces infrastructures qui hébergent les serveurs et les modèles d'IA. Le premier, baptisé RebelRack, regroupe 32 accélérateurs, des puces spécialisées dans le calcul, capables d'atteindre 64 pétaFLOPS. Pour donner un ordre de grandeur, un pétaFLOP correspond à un million de milliards d'opérations par seconde. Ces performances s'accompagnent d'une bande passante mémoire très élevée, c'est-à-dire la vitesse à laquelle les données circulent entre la mémoire et le processeur, atteignant plus de 150 téraoctets par seconde. Chaque carte consomme toutefois 600 watts, ce qui reste significatif, mais dans des standards maîtrisables pour les datacenters. L'un des arguments clés de Rebellions, c'est l'intégration. Contrairement à certaines solutions concurrentes, qui nécessitent un refroidissement liquide complexe, le RebelRack fonctionne à air et s'insère dans des baies standard. Un avantage non négligeable pour les entreprises, dont les infrastructures ne sont pas toujours adaptées à des systèmes plus lourds.Le second produit, RebelPOD, permet de connecter plusieurs de ces racks entre eux, jusqu'à former de véritables clusters, capables de traiter des charges massives. Sur le plan logiciel, Rebellions mise sur l'open source. Ses systèmes sont compatibles avec des outils largement utilisés dans le secteur, comme PyTorch, une bibliothèque de développement pour l'IA, ou OpenShift, une plateforme de gestion de conteneurs. Côté matériel, les puces reposent sur une architecture dite « chiplet », qui consiste à assembler plusieurs petits composants pour améliorer les performances. Elles utilisent également de la mémoire HBM, une mémoire très rapide, produite notamment par Samsung ou SK Hynix. Avec une levée de fonds récente de 400 millions de dollars, la start-up atteint désormais une valorisation de plus de 2 milliards. Elle prépare une introduction en Bourse, potentiellement dès 2026. Hébergé par Acast. Visitez acast.com/privacy pour plus d'informations.

In this episode of the Kubernetes Bytes podcast, Ryan and Bhavin talk to Janakiram MSV about all things KubeVirt. The discussion starts off by talking about the need for KubeVirt and then dives into the details of the KubeVirt architecture, and what you need to do when deploying virtual machines on Kubernetes, including commercial solutions like Red Hat OpenShift Virtualization and SUSE Virtualization. Check out our website at https://kubernetesbytes.com/ Show Notes: https://www.youtube.com/watch?v=DDwfPuWlsl0 https://janakiram.com/resources/ https://kubevirt.io/

Vandaag aan tafel:Barend BaarssenKarel van der WoudeMustafa GülkaraCojan van BallegooijenTimeline:0:00 Intro0:29 Introductie2:33 Wat is Vault?8:52 Wat is de doelstelling van Vault?13:44 Data encryptie 15:25 Open Source vs Enterprise17:25 Vault Setup20:45 Vault Use Case26:05 HashiCorp + IBM + Red HatIn deze aflevering duiken we diep in HashiCorp Vault: dé oplossing voor secret management, identity brokering en dynamische toegangscontrole in moderne, hybride IT‑omgevingen. Onze gast is Cojan van Ballegooijen, Solution Engineer bij HashiCorp, die dagelijks organisaties helpt om veilig en schaalbaar met credentials, keys, tokens en data‑encryptie om te gaan.We blikken kort terug op de eerdere HashiCorp‑aflevering met Mahil en bouwen daarop voort. Cojan gebruikt een herkenbare analogie van twee discotheken om helder uit te leggen hoe Vault zowel authenticatie (wie ben jij als persoon of applicatie?) als autorisatie (wat mag jij?) regelt. Daarbij staat The Principle of Least Privilege centraal: minimale toegang, maximaal veilig.Daarnaast bespreken we onder andere:- Secret Management als strategische security‑laag- Vault als Identity Broker tussen applicaties, clouds en platformen- Automatisch certificaten roteren (bijvoorbeeld elke 47 dagen)- Use cases in OpenShift, AWS, Azure, GitHub, GitLab en CI/CD‑pijplijnen- Dynamic Secrets voor on‑the‑fly toegangsrechten (bijv. databases)- Integraties met Ansible, Terraform, IBM Concert en andere automation‑tools- Het verschil tussen Open Source Vault en Enterprise Vault, inclusief mogelijkheden voor hybrid cloud‑scenario's- Waar je moet beginnen: developer.hashicorp.com met tutorials, open‑source downloads en praktijkvoorbeeldenOf je nu DevOps‑engineer, architect of security‑specialist bent, deze aflevering geeft je een helder en praktisch beeld van hoe Vault werkt, waarom het cruciaal is in moderne IT‑omgevingen, en hoe je het slim inzet van day zero tot decommission.Links:Analogie op HashiCorp Vault: https://medium.com/hashicorp-engineering/the-expensive-seats-problem-25829f7edc1eWaar kan ik beginnen: https://developer.hashicorp.comLinkedIn Cojan van Ballegooijen: https://www.linkedin.com/in/cojanvanballegooijen/Op- en aanmerkingen kunnen gestuurd worden naar: ofjestoptdestekkererin@nl.ibm.com

In this episode of Sales Is King, host Dan Sixsmith kicks off the show's 10th year and the launch of a brand new studio with a powerhouse guest: Andrew Brown, Senior Vice President and Chief Revenue Officer at Red Hat. Andrew shares how Red Hat is driving double‑digit growth with its hybrid platforms, automation, and AI capabilities—while staying anchored in long‑standing values like freedom, courage, commitment, and accountability. He also breaks down how AI is really changing sales, what separates top sellers from the middle of the pack, and why “happy customers” is his simple, non‑negotiable definition of success.​Red Hat's growth engines in 2025Three core platforms: Enterprise Linux, OpenShift (containerization/virtualization), and automation.​Why true hybrid (on‑prem, private cloud, hyperscalers) is resonating with customers globally.​The acquisition of Neural Magic and how Red Hat is playing in AI inference.​Values that customers actually feelHow Red Hat's long‑standing values—freedom, courage, commitment, accountability—show up through products and people, not posters.​Stories from customer visits (including India) where clients proactively praise the team, not just the tech.​The call to become CRO and first 90 daysHow Andrew was tapped from IBM by Rob Thomas to run “anything that touches revenue” at Red Hat.​Why he changed almost nothing at first: two ears, two eyes, one mouth—used in that ratio.​Moving the organization from “growing” to truly unlocking the next growth curve, with alignment on one vision and one belief.​What really separates top sellers from the middleActive listening as a true differentiator—probing pain, impact, and outcomes versus just hearing words.​Never settling: aiming beyond the renewal, operating on the “front foot,” and treating success and failure the same way.​A sports mindset: being ready for the clutch moments, orchestrating stakeholders, and failing at least 50% of the time but getting back up.​How AI is reshaping sales at Red HatBuilding and buying: Red Hat's own AI assistant embedded in sellers' workflow (Slack → CRM opportunity creation) plus tools like People.ai to free managers from data validation and focus them on coaching.​The big challenge: not building AI models, but getting them into production at scale with governance, cost control, and the right deployment (cloud vs. on‑prem).​Why only a small percentage of AI projects show real value today—and what needs to change.​Channel and ecosystem as revenue multipliersWhy a significant share of Red Hat's revenue runs through partners and how they're enabled pre‑ and post‑sales.​Technical certifications, revamped partner programs, and advisory boards to keep value and alignment high.​Customer success and value realizationConsolidating scattered customer success pockets into a central, technical CS team that engages the day after the contract is signed.​Focus on hands‑on deployment, embedding Red Hat tech in customer architectures, and rescuing under‑utilized hybrid commitments.​The direct link Andrew sees between CS, value realization, and recurring revenue uplift.​Andrew's personal journey and leadership lessonsFrom aspiring soccer player to IBM intern to CRO at Red Hat.​Doing an MBA nights/weekends to bridge technology and business outcomes in C‑level conversations.​Early “bad” first management role and learning from white‑space, door‑to‑door style selling.​Influences from Lou Gerstner and other mentors: keep it simple, communicate clearly, don't define your life only by work.​Andrew Brown is Senior Vice President and Chief Revenue Officer at Red Hat, where he leads all revenue‑touching functions globally across sales, services, and ecosystem partners. Prior to Red Hat, Andrew spent nearly three decades at IBM in a variety of technical, sales, and leadership roles, combining a deep technology background with a strong commercial track record.​

Neste episódio, conversamos com Demetrius Costa, Senior Software Engineer na Red Hat. Com uma carreira sólida construída sobre tecnologias fundamentais como Java, Node.js, Go lang e automação. Demetrius compartilha sua experiência trabalhando em projetos de infraestrutura crítica como o OpenShift e Ansible.Links:Site do OsProgramadores: https://osprogramadores.comGrupo no Telegram: https://t.me/osprogramadoresLinkedIn do Demetrius: https://www.linkedin.com/in/demetrius-costa/

En un nuevo paso hacia la convergencia entre nube, contenedores y virtualización, NetApp y Red Hat se unen para potenciar Red Hat OpenShift Virtualization, integrando la infraestructura de datos con la plataforma de virtualización para unificar la gestión de máquinas virtuales y contenedores en entornos híbridos y multicloud.

This week we answer your questions, then dig into OpenShift vs. Kubernetes operators, give some updated options for email hosting, and talk about the dangers of Ai. -- During The Show -- 00:50 Intro AI war stories Content Warning Dangers of AI AIs are sycophants 10:00 News Wire ClamAV 1.5 - gbhackers.com (https://gbhackers.com/clamav-1-5-0-released) Wireshark 4.6 - wireshark.org (https://www.wireshark.org/docs/relnotes/wireshark-4.6.0) KDE Frameworks 6.19 - kde.org (https://kde.org/announcements/frameworks/6/6.19.0) Qt 6.10 - qt.io (https://www.qt.io/blog/qt-6.10-released) 6.16 - kernelnewbies.org (https://kernelnewbies.org/Linux_6.16) NordVPN - techradar.com (https://www.techradar.com/vpn/vpn-services/nordvpn-just-made-its-linux-gui-app-open-source-and-theres-more-on-the-way) T2 25.10 - level1techs.com (https://forum.level1techs.com/t/t2-linux-25-10-never-obsolete-keeps-32-bit-and-big-endian-risc-alive/238216) Ubuntu 25.10 - canonical.com (https://canonical.com/blog/canonical-releases-ubuntu-25-10-questing-quokka) Linux Mint LMDE 7 - phoronix.com (https://www.phoronix.com/news/Linux-Mint-LMDE-7) Winux W10EOL - betanews.com (https://betanews.com/2025/10/13/rip-windows-10-winux-w10eol-is-the-windows-11-clone-that-runs-on-linux-and-makes-your-old-pc-feel-new-again) Nezha Gh0st RAT - thehackernews.com (https://thehackernews.com/2025/10/chinese-hackers-weaponize-open-source.html) Secure Boot Bypass - bleepingcomputer.com (https://www.bleepingcomputer.com/news/security/secure-boot-bypass-risk-on-nearly-200-000-linux-framework-sytems) ksmbd File System Vulnerability - cyberpress.org (https://cyberpress.org/linux-kernel-ksmbd-filesystem-vulnerability) Kali Linux 2025.3 Gemini CLI - linkedin.com (https://www.linkedin.com/pulse/kali-linux-20253-introduces-gemini-cli-automate-qmd4e) React Foundation - techzine.eu (https://www.techzine.eu/news/devops/135353/meta-transfers-react-to-linux-foundation) 11:45 OpenShift vs. Kubernetes Operators - Tiny OpenShift Helm Chart Operators OKD 20:30 Email - JJ_4884 Proton Mail Email aliases Zero inbox Kanban swim lanes Why Steve manages things Fastmail Mail in a Box 46:20 Analog Audio Recordings Saving cassette audio Will you be able to open things in the future? Quality Dual head tape deck -- The Extra Credit Section -- For links to the articles and material referenced in this week's episode check out this week's page from our podcast dashboard! This Episode's Podcast Dashboard (http://podcast.asknoahshow.com/463) Phone Systems for Ask Noah provided by Voxtelesys (http://www.voxtelesys.com/asknoah) Join us in our dedicated chatroom #GeekLab:linuxdelta.com on Matrix (https://element.linuxdelta.com/#/room/#geeklab:linuxdelta.com) -- Stay In Touch -- Find all the resources for this show on the Ask Noah Dashboard Ask Noah Dashboard (http://www.asknoahshow.com) Need more help than a radio show can offer? Altispeed provides commercial IT services and they're excited to offer you a great deal for listening to the Ask Noah Show. Call today and ask about the discount for listeners of the Ask Noah Show! Altispeed Technologies (http://www.altispeed.com/) Contact Noah live [at] asknoahshow.com -- Twitter -- Noah - Kernellinux (https://twitter.com/kernellinux) Ask Noah Show (https://twitter.com/asknoahshow) Altispeed Technologies (https://twitter.com/altispeed)

More .well-known scans Attackers are using API documentation automatically published in the .well-known directory for reconnaissance. https://isc.sans.edu/diary/More%20.well-known%20Scans/32340 RedHat Patches Openshift AI Services A flaw was found in Red Hat Openshift AI Service. A low-privileged attacker with access to an authenticated account, for example, as a data scientist using a standard Jupyter notebook, can escalate their privileges to a full cluster administrator. https://access.redhat.com/security/cve/cve-2025-10725#cve-affected-packages TOTOLINK X6000R Vulnerabilities Paloalto released details regarding three recently patched vulnerabilities in TotalLink-X6000R routers. https://unit42.paloaltonetworks.com/totolink-x6000r-vulnerabilities/ DrayOS Vulnerability Patched Draytek fixed a single memory corruption vulnerability in its Vigor series router. An unauthenticated user may use it to execute arbitrary code. https://www.draytek.com/about/security-advisory/use-of-uninitialized-variable-vulnerabilities

Today we tackle the generational infrastructure shift that's keeping IT leaders awake at night: OpenShift virtualization adoption. We dig deep into why organizations are struggling to migrate from traditional VM-focused infrastructure to Kubernetes-managed infrastructure. We explore the real hurdles blocking this transition and unpack the strategic positioning that matters when you're moving to container-orchestrated infrastructure. This isn't about dumping everything into Kubernetes and calling it done, we examine what it really takes to use Kubernetes as your infrastructure abstraction layer while navigating the operational realities that make or break these migrations. Transcript: https://otter.ai/u/IY2Y0a4aFN99ILg9daArE1nwe-c?utm_source=copy_url

Ce mois-ci Guillaume vous parle de ASA r2, de ses qualités... et de ses défauts ! Inscrivez-vous et préparez vous pour NetApp Insight, et si vous ne voulez pas vous déplacer, ne ratez pas Insight Xtra le 9 décembre.Encore plus proche de chez vous, NetApp Connect se ballade :Lyon, le 9 octobreGrenoble, le 10 octobreParis, le 4 novembreToulouse le 4 novembreNice, le 5 novembreNetApp vous accompagne dans vos projets GenAI avec la disponibilité du MCP Server for Knowledge Base.Yves nous fera un point OpenShift et Trident comme à son habitude, et Yann nous dressera une rapide liste des améliorations dans ONTAP 9.17Yann Bizeul (Linked-In)Guillaume Sowinski (Linked-In)Yves Weisser (Linked-In)

Today we dive deep into the mystery of Kubernetes installation, specifically OpenShift installation. We help explain why Kubernetes installs look so weird compared to traditional operations, install processes, and where are the playbooks? Where are the scripts? Are the runbooks describing all the steps you need to take? All of it seems to be missing, and in this podcast, we explain why. Transcript: https://otter.ai/u/J802BlcVs3K_OU8B5K5pnQ9fAq8?utm_source=copy_url

Guests are Clayton Coleman and Rob Shaw. Clayton is a Core contributor to Kubernetes, the containerized cluster manager, and founding architect for OpenShift, the open source platform as a service. Clayton helped launch the shift to cloud native applications and the platforms that enable them. At Google my mission is to make Kubernetes and GKE the best place to run workloads, especially accelerated AI/ML workloads, and especially especially very large model inference at scale with the inference gateway and llm-d. Rob Shaw is an Engineering Director at Redhat and is a contributor to the vLLM project.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod - bluesky: @kubernetespodcast.com   News of the week Kubernetes 1.34 is expected to release end of August Kubecrash.io: A platform Eng conference with a purpose CNCF top 30 project of 2025 Links from the interview LLM-D KubeCon EU 25 Keynote: LLM-Aware Load Balancing in Kubernetes WG Serving vLLM Disaggregated Prefilling LWS: LeaderWorkerSet

Off-the-shelf didn't cut it, so we built what we needed using open hardware and open source.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

We spent the week learning keybindings, installing dependencies, and cramming for bonus points. Today, we score up and see how we did in the TUI Challenge.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Unraid: A powerful, easy operating system for servers and storage. Maximize your hardware with unmatched flexibility. Support LINUX UnpluggedLinks:

Fresh off Red Hat Summit, Chris is eyeing an exit from NixOS. What's luring him back to the mainstream? Our highlights, and the signal from the noise from open source's biggest event of the year.Sponsored By:Tailscale: Tailscale is a programmable networking software that is private and secure by default - get it free on up to 100 devices! 1Password Extended Access Management: 1Password Extended Access Management is a device trust solution for companies with Okta, and they ensure that if a device isn't trusted and secure, it can't log into your cloud apps. Support LINUX UnpluggedLinks:

Send us a textIn this engaging episode, we dive into Dewan Ahmed's fascinating journey from electrical engineering to becoming a Principal Developer Advocate at Harness. Dewan shares how necessity drove his career transitions - first from renewable energy engineering to software development at IBM, and later to DevOps and Kubernetes. We explore the importance of content creation for career growth, how Toastmasters helped build his public speaking skills, and why job titles truly matter. Dewan also discusses his philosophy on resume reviews, having helped over 1,200 professionals pro bono, and shares insights on the delicate balance developer advocates must maintain between authenticity and company representation. Finally, we learn about his role organizing DevOps Days Halifax and his efforts to build the tech community in Atlantic Canada.Where to Find DewanLinkedIn: https://www.linkedin.com/in/diahmed/Twitter: https://x.com/dewanahmedBlog: https://www.dewanahmed.com/Company: https://www.harness.io/Show LinksToastmasters: https://www.toastmasters.org/DevOps Days Halifax: https://devopsdays.org/events/2024-halifax/welcome/Harness CI/CD: https://www.harness.io/products/continuous-integrationKubeCon: https://events.linuxfoundation.org/kubecon-cloudnativecon/OpenShift: https://www.redhat.com/en/technologies/cloud-computing/openshiftFollow, Like, and Subscribe!Podcast: https://www.thecloudgambit.com/YouTube: https://www.youtube.com/@TheCloudGambitLinkedIn: https://www.linkedin.com/company/thecloudgambitTwitter: https://twitter.com/TheCloudGambitTikTok: https://www.tiktok.com/@thecloudgambit

Welcome to episode 296 of The Cloud Pod – where the forecast is always cloudy! Today is a twofer – Justin and Ryan are in the house to make sure you don't miss out on any of today's important cloud and AI news. From AI Protection, to Google Next, to Amazon Q Developer, we've got it all, this week on TCP!  Titles we almost went with this week: Amazon Step Functions, walks step by step into my IDE Deepseek seeks the truth of “is it serverless or servers”?  Well Architected Reviews by AI… What will my solutions architects do now?  The cloud pod hosts steps over the Azure EU Data Boundary BYOIP to ALBs… only years too late for everyone. A big thanks to this week's sponsor: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our slack channel for more info.  General News  01:02 HashiCorp and Red Hat, better together  Hashicorp has more details on its future, with the recent IBM acquisition in this blog post.  They talk about the wide range of Day 2 operations, including things like drift detection, image management and patching, rightsizing, and configuration management.   As Red Hat Ansible is a purpose built operational management platform, it makes it easier to properly configure resources after the initial creation, but also to evolve the configuration after setup, and then execute ad-hoc playbooks to keep things running reliably and more securely at scale.  Some additional things they're exploring, now that the acquisition has closed: Red Hat Ansible Inventory generated dynamically by Terraform.  Official Terraform modules for Redhat Ansible, making it easier to trigger terraform from Ansible Playbooks. Redhat and Hashicorp officially support the Red Hat Ansible Provider for Terraform, making it easier to trigger Ansible from Terraform. Evolving Terraform provisioners to support a more comprehensive set of lifecycle integrations. Improved mechanisms to invoke Ansible Playbooks outside of the resource provisioning lifecycle Customers – not surprisingly – regularly integrate Vault and Openshift, and they have identified dozens of connection points that can add value, including: Vault Secrets Operator for OpenShift Etcd data encryption  Argo CI/CD Istio Certificate issuance 01:48 Justin – “That's a lot of promise for Ansible there, that I'm not sure it completely lives up to…” 07:09

Equilibrar modelos de inteligência artificial e aplicativos corporativos não é um jogo de soma zero. O futuro está em uma divisão bem equilibrada de modelos de IA e aplicativos tradicionais. Isso significa que os CIOs e as corporações têm um desafio: não só precisam planejar como integrar a IA em seus ambientes, mas também ter em mente como ela irá interagir com seus aplicativos existentes, passando por frentes que vão desde a segurança e a infraestrutura de sistemas até a composição das equipes e as habilidades necessárias. O podcast recebe Thiago Araki, diretor sênior de Tecnologia para a América Latina na Red Hat, e Bruno Machado, gerente sênior do OpenShift para a América Latina na Red Hat, para discutir como a combinação de IA e aplicativos irá evoluir, especialmente na medida em que os modelos se tornam mais especializados e as organizações vão além de tentar encontrar um único modelo de grande linguagem (LLM) para resolver todos os seus desafios. A apresentação é de Daniel Gonzales.See omnystudio.com/listener for privacy information.

In this episode, we dive deeper into the new architectural trends for infrastructure designers in this coming decade, which is a transition from virtualization platforms first like VMware into containerized platforms first. But this time, we talk through the use of virtualization in containerized systems - keeping VMs but with what changes are necessary to make a containerized virtualization platform dominant instead of a virtualized virtualization platform. Reference: https://kubevirt.io/user-guide/architecture/ https://www.redhat.com/en/technologies/cloud-computing/openshift/virtualization

In today's episode of The Daily Windup, Eric Coffie interviews an expert who provides insights into the controls that need to be implemented by anybody using containers, such as OpenShift and Kubernetes. Organizations that modernize to the cloud and those running VMs may want to move to a more orchestrated environment using containers. They highlight the need for certain configurations, including agentless implementation and telemetry, for analysts to monitor environments for attacks, power abuses, and traffic. They also talk how FEMA helps organizations like the National Flood Insurance Program, move from a 5-year-old mainframe to OpenShift three, and soon to OpenShift four. The new technology allows for flood insurance to be issued in real-time, and they have set up an environment that can withstand external risks from the container platform while restricting access from the GetGo. Tune in to listen the importance of having these systems in place for your business!

Welcome to episode 276 of The Cloud Pod, where the forecast is always cloudy! This week, our hosts Justin, Matthew, and Jonathan do a speedrun of OpenWorld news, talk about energy needs and the totally not controversial decision to reopen 3 Mile Island, a “managed” exodus from cloud, and Kubernetes news. As well as Amazon’s RTO we are calling “Elastic Commute”. All this and more, right now on The Cloud Pod.  Titles we almost went with this week: The Cloud Pod Hosts don't own enough pants for five days a week IBM thinks it can contain the cost of K8s Microsoft loves nuclear energy The Cloudpod tries to give Oracle some love and still does not care The cloud pod goes nuclear on k8s costs Can IBM contain the costs of Kubernetes and Nuclear Power?  Google takes on take over while microsoft takes on nuclear AWS Launches ‘Managed Exodus’: Streamline Your Talent Drain Introducing Amazon WorkForce Alienation: Scale Your Employee Discontent to the Cloud Amazon SageMaker Studio Lab: Now with Real-Time Resignation Prediction A big thanks to this week's sponsor: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our slack channel for more info.  General News 01:08 IBM acquires Kubernetes cost optimization startup Kubecost  IBM is quickly becoming the place where cloud cost companies go to assimilate? Or Die? Rebirthed mabe? Either way, it's not a great place to end up.  On Tuesday they announced the acquisition of Kubecost, a FinOps startup that helps teams monitor and optimize their K8 clusters, with a focus on efficiency – and ultimately cost.  This acquisition follows the acquisitions of Apptio, Turbonomic, and Instana over the years.  Kubecost is the company behind OpenCost; a vendor-neutral open source project that forms part of the core Kubecost commercial offering.   OpenCost is part of the Cloud Native Computing Foundations cohort of sandbox projects. Kubecost is expected to be integrated into IBM’s FinOps Suite, which combines Cloudability and Turbonomic.  There is also speculation that it might make its way to OpenShift, too. 02:26 Jsutin- “…so KubeCost lives inside of Kubernetes, and basically has the ability to see how much CPU, how much memory they’re using, then calculate basically the price of the EC2 broken down into the different pods and services.” AI Is Going Great –

In this episode, guest host and AI correspondent Mofi Rahman interviews Richard Liaw and Kai-Hsun Chen from Anyscale about Ray and KubeRay. Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads, while KubeRay integrates Ray's capabilities into Kubernetes clusters.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod   News of the week CNCF Blog - LitmusChaos audit complete! Kubernetes Podcast from Google episode 234 - LitmusChaos, with Karthik Satchitanand Google Cloud Blog - Run your AI inference applications on Cloud Run with NVIDIA GPUs Diginomica article - KubeCon China - at 33-and-a-third, Linux is a long player. So, why does Linus Torvalds hate AI? CNCF-Hosted Co-Located Event Schedule for KubeCon NA 2024  Google Kubernetes Engine Release Notes - August 20, 2024 (1.31 available in Rapid Channel) Kubernetes Podcast from Google - Kubernetes v1.31: "Elli", with Angelos Kolaitis Red Hat Press Release - Red Hat OpenStack Services on OpenShift is Now Generally Available Red Hat Enables OpenStack to Run Natively on OpenShift Platform Broadcom Revamps Tanzu to Simplify Cloud-Native App Development and Deployment Tanzu Platform 10 Offers Cloud Foundry Users Deep Visibility and Productivity Enhancements VMware Explore Conference Website CNCF Blog - Announcing 500 Kubestronauts CNCF - Kubestronaut FAQ Dapr Day 2024 Virtual Event Website Links from the interview Kai-Hsun Chen on LinkedIn Richard Liaw on LinkedIn Ray from the RISE Lab at UC Berkeley Ray: A Distributed System for AI by Robert Nishihara and Philipp Moritz - Jan 9, 2018 KubeRay Docs KubeRay on GitHub PyTorch Apache Airflow Apache Spark Kubeflow Apache Submarine (retired) Jupyter Notebooks VS Code Examples of schedulers for Batch/AI workloads in Kubernetes Kueue Volcano Apache Yunikorn Examples of observability tools for Batch/AI workloads in Kubernetes Prometheus Grafana Fluentbit Examples of loadbalancers Nginx Istio Ray Data: Scalable Datasets for ML Dask Python - Parallel Python Ray Serve: Scalable and Programmable Serving HPA - Horizontal Pod Autoscaling in Kubernetes Karpenter - “Just-in-time nodes for any Kubernetes cluster” Lazy Computation Graphs with the Ray DAG API Types of hardware accelerators Google Cloud Tensor Processing Units (TPUs) AMD Instinct AMD Radeon AWS Trainium AWS Inferentia Pandas Numpy KubeCon EU 2024 - Accelerators(FPGA/GPU) Chaining to Efficiently Handle Large AI/ML Workloads in K8s - Sampath Priyankara, Nippon Telegraph and Telephone Corporation & Masataka Sonoda, Fujitsu Limited NVidia Megatron Links from the post-interview chat DRA - Dynamic Resource Allocation in Kubernetes Different ways of Running RayJob on Kubernetes Ray framework diagram in the docs  

Neste episódio temos uma conversa incrível que promete transformar a maneira como encaramos o feedback em nossos ambientes de trabalho. João Brito está no comando, e ele trouxe o André Brandão para abordar esse assunto tão crucial. Logo no início, ambos nos lembram que feedback não precisa ser um bicho de sete cabeças. André pode ser ouvido ressaltando: “Evitemos julgamentos, vamos focar no comportamento e não na pessoa!” Essa abordagem é fundamental para aliviar a tensão em situações que, muitas vezes, podem ser stressantes. O feedback deve ser uma ferramenta de crescimento, não um momento de desconforto.Uma das partes mais bacanas da conversa foi a troca de dicas práticas sobre como dar e receber feedback. André sugeriu que, quando formos fornecer feedback, precisamos ser sempre específicos. Ele afirma: “Quando você diz que alguém precisa melhorar, pergunte-se: em que exatamente?” Essa dica é valiosíssima, pois nos ajuda a evitar os comentários vagos que não levam a lugar nenhum e, muitas vezes, só adicionam confusão à situação.Outro momento de destaque foi quando falaram sobre a responsabilidade que cada um de nós deve ter no nosso próprio desenvolvimento. O André jogou a real ao afirmar: “Se não tomarmos as rédeas do nosso crescimento, quem vai?” Essa afirmação nos faz refletir que, para evoluir continuamente, precisamos reivindicar nosso espaço e nos esforçar ativamente.Para fechar, que tal aproveitarmos esses ensinamentos valiosos? Precisamos entrar nas nossas reuniões prontos para dar feedback de forma construtiva e também abrir espaço para receber críticas. A dica de André para criar um ambiente seguro durante essas interações é essencial: “Crie um ambiente seguro, onde as pessoas se sintam à vontade para compartilhar suas opiniões.”Nos vemos no próximo episódio!O Kubicast é uma produção da Getup, empresa especialista em Kubernetes e projetos open source para Kubernetes. Os episódios do podcast estão nas principais plataformas de áudio digital e no YouTube.com/@getupcloud.

OpenShift is an open-source container application platform that brings Docker and Kubernetes together to help organizations build, deploy, and manage containerized applications. Open source OpenShift (OKD) powers some of the largest Kubernetes clusters, such as in CERN, the European Organization for Nuclear Research. Join us for a fireside chat with an OpenShift veteran Radek Vokál, on the current state of the OpenShift project, its vibrant community, and the pivotal role Red Hat plays in its development and growth. In this episode we delved into how observability is integrated within OpenShift, discussing key strategies, tools and open source projects for effective monitoring, troubleshooting and cost management. Whether you're managing complex deployments or seeking to enhance system performance, this episode offers valuable insights and practical guidance on leveraging OpenShift for improved observability. Don't miss this in-depth discussion! Our guest is Radek Vokál, Senior Manager, Red Hat Observability Product Management. With 20 years at Red Hat, Radek has been involved in OpenShift from engineering and product side. Radek currently leads product management for the OpenShift Observability. Radek has also been a co-organizer of the DevConf.cz open source community conference in the Czech Republic for the last 17 years. The episode was live-streamed on 8 August 2024 and the video is available at https://www.youtube.com/watch?v=oPNHJ7Nn8uA OpenObservability Talks episodes are released monthly, on the last Thursday of each month and are available for listening on your favorite podcast app and on YouTube. We live-stream the episodes on Twitch and YouTube Live - tune in to see us live, and chime in with your comments and questions on the live chat. ⁠⁠https://www.youtube.com/@openobservabilitytalks⁠   https://www.twitch.tv/openobservability⁠ Show Notes: 00:00 Episode and guest intro 06:29 What's OpenShift 10:22 OKD (OpenShift Core) open source 14:49 Product management for open source 19:27 Cost and resource efficiency of Kubernetes clusters 30:06 Observability at OpenShift 39:54 Open source observability stack used at OpenShift 42:12 Moving away from Grafana and adopting Perses OSS 45:04 OpenShift roadmap 48:40 Adopting OpenTelemetry 56:52 CrowdStrike and Azure outages 58:15 AWS taking down a suite of services 1:00:28 Jaeger V2 is coming 1:02:45 Episode outro Resources: https://okd.io/ https://www.redhat.com/observability https://github.com/korrel8r/korrel8r https://horovits.medium.com/033e7518eefb https://www.linkedin.com/feed/update/urn:li:share:7223575687339622400/ Socials: Twitter:⁠ https://twitter.com/OpenObserv⁠ YouTube: ⁠https://www.youtube.com/@openobservabilitytalks⁠ Dotan Horovits ============ Twitter: @horovits LinkedIn: www.linkedin.com/in/horovits Mastodon: @horovits@fosstodon Radek Vokál ========== Twitter: x.com/radekvokal  LInkedin: https://www.linkedin.com/in/radekvokal/  

Black Hat was last week and Hacker Summer Camp never fails to disappoint. There were some big takeaways from the show, such as Moxie Marlinspike telling DevOps they're the problem with security as well as a whole host of exploits, like the ones we've covered above. However, AI is king in 2024 and we knew everyone was going to be talking about it. Time Stamps: 0:00 - Welcome to The Rundown 1:13 - IBM Storage Scale using Blue Vela AI supercomputer 4:46 - AMD Chips Hit with Sinkclose 8:24 - BMC Uses AI For Mainframe Operations 12:38 - NIST Finalizes Post-Quantum Cryptography Standards 17:00 - RedHat's OpenShift Gets GenAI 20:32 - Pliops Kalray Merger Falls Through 23:14 - Announcements and Takeaways from Black Hat 23:48 - HPE Leverages AI for Security 28:18 - Copilot Insecure by Design 33:36 - More from Black Hat 38:20 - The Weeks Ahead 40:00 - Thanks for Watching Hosts: Tom Hollingsworth: https://www.twitter.com/NetworkingNerd Stephen Foskett: https://www.twitter.com/SFoskett Follow Gestalt IT Website: https://www.GestaltIT.com/ Twitter: https://www.twitter.com/GestaltIT LinkedIn: https://www.linkedin.com/company/Gestalt-IT Tags: #Rundown, #BlackHat2024, #Copilot, #AI, @IBM, @AMD, @BMCSoftware, @RedHat, @OpenShift, @Pliops, @Karlay, @HPE, @Microsoft, @NetworkingNerd, @SFoskett, @GestaltIT, @TheFuturumGroup, @TechstrongTV,

On this episode of DevOps Dialogues: Insights & Innovations, I am joined by Senior Director of Market Insights, Hybrid Platforms at Red Hat, Stuart Miniman, for a discussion on Red Hat Virtualization and AI Impacts on DevOps Our conversation covers: Highlights of Red Hat Summit Impacts of Virtualization and AI on the market Additions of Lightspeed into RHEL and OpenShift expanding on Ansible  

In this episode, we talk to three active leaders who have been around since the very beginning of Kubernetes. We explore how Kubernetes has changed since its inception, with a particular focus on current efforts in Open source Kubernetes to support AI/ML style workloads.   Maciej Szulik is currently taking a seat in the Kubernetes Steering Committee. He's also leading Special Interests Groups responsible for kubectl, workload and batch controllers. Maciej has been contributing to Kubernetes since the early days, jumping from one area to another where help was needed. He authored the first version of audit and helped shape its current one, as well as touched multiple other places in apimachinery. He was also responsible for designing and implementing Job and CronJob controllers. In kubectl he was responsible for the plugin mechanism and several major refactors to simplify the code. Since May 2024 he joined the ranks of Production Readiness Review (PRR) approvers helping ensure high production standards for the future of Kubernetes releases.    Clayton Coleman is a long-time Kubernetes contributor, having helped launch Kubernetes as open source, being on the bootstrap steering committee, and working across a number of SIGs to make Kubernetes a reliable and powerful foundation for workloads.  At Red Hat he led OpenShift's pivot onto Kubernetes and its growth across on-premise, edge, and into cloud.  At Google he is now focused on enabling the next generation of key workloads, especially AI/ML in Kubernetes and on GKE.   Dawn Chen has been a Principal Software Engineer at Google cloud since May 2007. Dawn has worked on an open source project called Kubernetes before the project was founded. She has been one of tech leads in both Kubernetes and GKE, and founded SIG Node from scratch. She also led Anthos platform team for the last 4 years, and mainly focuses on the core infrastructure. Prior to Kubernetes, she was the one of the tech leads for Google internal container infrastructure -- Borg for about 7 years. Outside of work, she is a wife, a mother of a 16-year old boy and a good friend. She enjoys reading, cooking, hiking and traveling.   Do you have something cool to share? Some questions? Let us know: - web: kubernetespodcast.com - mail: kubernetespodcast@google.com - twitter: @kubernetespod News of the week Kubernetes 1.31 Code Freeze is on July 9th Links from the interview Kubernetes Working Group Batch Kubernetes Working Group Serving Blog: Introducing Indexed Jobs (2021) Docs: Kubernetes Jobs KEP: Elastic Indexed Jobs Docs: Kubernetes CronJobs KubeCon EU 2021: The Long, Winding and Bumpy Road to CronJob's GA - Maciej Szulik, Red Hat & Alay Patel, Red Hat KubeCon EU 2018: Writing Kube Controllers for Everyone - Maciej Szulik, Red Hat (Beginner Skill Level) Kubernetes Working Group Device Management Kubernetes Enhancement Proposal process README DockerCon 2014: The announcement of Kubernetes at DockerCon Blog: AI & Kubernetes (by Kaslin) Kueue - “Kueue is a cloud-native job queueing system for batch, HPC, AI/ML, and similar applications in a Kubernetes cluster.” Whitepaper: Large-scale cluster management at {Google} with {Borg} Email: “Containers: Introduction” - An email introducing the concept of Linux containers to the Linux community Links from the post-interview chat Blog - “Scaling Kubernetes to 7,500 nodes” - OpenAI Ray on Kubernetes  

Ryan Wallner and Bhavin Shah talk to Andy Grimes about the OpenShift AI Landscape.Check out our website at https://kubernetesbytes.com/Episode Sponsor: Nethopper - Learn more about KAOPS: @nethopper.io - For a supported-demo: info@nethopper.io - Try the free version of KAOPS now! https://mynethopper.com/authLinks - https://youtube.com/watch?v=nAT9U1vJ8x0 - https://www.theregister.com/2024/06/12/kubertenes_decade_anniversary/ - https://www.businesswire.com/news/home/20240606882860/en/Mirantis-Collaboration-with-Pure-Storage-Simplifies-Data-Management-with-Kubernetes - https://falco.org/blog/falco-0-38-0/ - https://au.finance.yahoo.com/news/rancher-government-successfully-using-harvester-121100125.html - https://www.youtube.com/@PlatformEngineering - Video: https://www.youtube.com/watch?v=tZj8j3fdXy4 - Virtual Road Shows: https://www.redhat.com/en/north-america-red-hat-aws - AWS Gameday August 22nd: TBS - Boston Childrens Hospital RHOAI: https://www.redhat.com/en/creating-chris - IBM Open Source AI https://www.youtube.com/watch?v=SuGedexBudQ&t=141s

We look at OpenShift from an external perspective, including how it works in a multi-cloud environment, how it abstracts cloud resources, when administrators and developers still need to understand what is happening beneath the abstraction, combining OpenShift with cloud-managed services, some of the downsides of OpenShift, and where people should start if they want to... Read More

We look at OpenShift from an external perspective, including how it works in a multi-cloud environment, how it abstracts cloud resources, when administrators and developers still need to understand what is happening beneath the abstraction, combining OpenShift with cloud-managed services, some of the downsides of OpenShift, and where people should start if they want to … Continue reading "Hybrid Cloud Show – Episode 05"

Kubernetes is cool, and I think it's really useful in helping us scale and manage multiple systems easily in a fault-tolerant way. Actually, I don't think Kubernetes per se is important itself; more it seems that the idea of some orchestration engine to manage containers and systems is what really matters. As a side note, there are other orchestrators such as Mesos, OpenShift, and Nomad. However, do we need to know Kubernetes to use it for databases? This is a data platform newsletter, and most of us work with databases in some way. I do see more databases moving to the cloud, and a few moving to containers. I was thinking about this when I saw a Simple Talk article on Kubernetes for Complete Beginners. It's a basic article that looks at what the platform consists of, how it works, and how to set up a mini Kubernetes platform on your system. It's well written and interesting, but ... Read the rest of Kubernetes is Cool, But ...

Unlock the story behind IBM's bold play in acquiring HashiCorp, a move that's sent shockwaves through the tech sector. We pull back the curtain to reveal what this means for industry consolidation and how IBM's bet on HashiCorp's varied offerings, from Terraform to Vault, could be a game-changer for their private cloud ambitions. And with cloud giants like Google and Azure flaunting their latest earnings, we shed light on the true picture behind the numbers and the clever strategies they employ to stay ahead of the curve.Then, strap in as we examine Fortinet's pioneering move to infuse Gen AI into their FortiOS for unparalleled threat detection. We're not just observers; we're analysts questioning the practicality of Cisco and Red Hat's ACI and OpenShift integration and the unfolding saga within Cisco's own product ecosystem. Need a dose of reality? Our critique of the AWS Network Firewall, courtesy of insights from SDX Central, promises to mix humor with hard-hitting truths about cybersecurity in the cloud era. Join us for this episode that's anything but typical, as we navigate the intricate web of tech alliances and innovations.Check out the Fortnightly Cloud Networking NewsVisit our website and subscribe: https://www.cables2clouds.com/Follow us on Twitter: https://twitter.com/cables2cloudsFollow us on YouTube: https://www.youtube.com/@cables2clouds/Follow us on TikTok: https://www.tiktok.com/@cables2cloudsMerch Store: https://store.cables2clouds.com/Join the Discord Study group: https://artofneteng.com/iaatjArt of Network Engineering (AONE): https://artofnetworkengineering.com

Welcome to episode 251 of The Cloud Pod podcast – where the forecast is always cloudy! This week we're looking at the potential end of low impact code thanks to generative AI, how and why Kubernetes is still hanging on, and Cloudflare's new defensive AI project. Plus we take on the death of Project Titan in our aftershow.  Titles we almost went with this week: The Cloud Pod is Magic Why is the Cloud Pod Not on the Board of the Director for OpenAI The Cloud Pod wants Gen AI Money The Cloud Pod Thinks Magic Networks Are Less Fun Than Magic Mushrooms The Cloud Pod is Mission Critical so Give Us Your Money and Sponsor Us A big thanks to this week's sponsor: We're sponsorless this week! Interested in sponsoring us and having access to a specialized and targeted market? We'd love to talk to you. Send us an email or hit us up on our Slack Channel.  Follow-Up 00:50  Kubernetes Predictions Were Wrong — Redux Last week Ryan and Justin talked about why Kubernetes hasn't disappeared into the background during our after show, and now with Matt and Jonathan here I wanted to see if they had any additional thoughts.   If you missed this two weeks ago, it’s probably because you don't know that there are regular after shows after the final bumper of the show… typically about non-cloud things or things that generally interest our hosts. There is one today about the death of the Apple Car.  To summarize the conversation, ChatGPT has provided us with a sort of CliffsNotes version.  Ryan and Justin speculated on the reasons why Kubernetes (K8) persisted despite predictions of its decline: Global Pandemic Impact: They acknowledged the global pandemic that unfolded since 2020 and considered its potential influence on Kubernetes. The pandemic might have shifted priorities and accelerated digital transformation efforts, leading to increased reliance on Kubernetes for managing cloud-native applications and infrastructure. Organizations might have intensified their focus on scalable and resilient technologies like Kubernetes to adapt to remote work environments and changing market dynamics. Unforeseen Complexity: Despite expectations for a simpler alternative to emerge, Kubernetes has grown more complex over time. The ecosystem around Kubernetes has expanded significantly, with various platforms, services, and tools built on top of it. This complexity may have made it challenging for organizations to migrate away from Kubernetes, as they have heavily invested in its ecosystem and expertise. Critical Role in Scalability: Kubernetes remains a fundamental technology for platform engineering teams seeking to achieve scalability and standardization in their operations. Creating a standardized, opinionated path for Kubernetes within organizations enables them to streamline deployment processes, manage resources efficiently, and support the growing demands of modern applications. This critical role in scaling infrastructure and applications might have contributed to Kubernetes’ enduring relevance. Absence of Clear Alternatives: Despite predictions, no single service or platform has emerged as a clear, universally adopted alternative to Kubernetes. While other solutions exist, such as Tanzu, OpenShift, and others mentioned, none have achieved the same level of adoption or provided a compelling reason for orga

Now that businesses have deployed modern applications in the cloud they are starting to ask whether it might be more attractive to run these on-premises. This episode of the On-Premise IT podcast features Jason Benedicic, Camberley Bates, and Ian Sanderson discussing the pros and cons of cloud repatriation with Stephen Foskett. A recent blog post by 37 Signals got the Tech Field Day delegates talking about the reality of running modern applications in enterprise-owned clouds, whether in the datacenter or co-located. Certainly the hardware and software are available to move applications on-prem, and some workloads may be better served this way. Most of the necessary components to run modern web applications are available on-prem, from Kubernetes to Postgres to Kafka, but these can prove difficult to manage, which is one of the things as-a-service customers are paying for. Looking back to the debut of OpenStack, enterprises have wanted to run applications in-house but they found it too difficult to manage. OpenShift is much more attractive thanks to the support and integration of the platform, but many customers have financial and administrative reasons for as-a-service deployment. It might not be a mass exodus, but there are plenty of examples of repatriation of modern applications. © Gestalt IT, LLC for Gestalt IT: Cloud Repatriation is Really Happening

Now that businesses have deployed modern applications in the cloud they are starting to ask whether it might be more attractive to run these on-premises. This episode of the On-Premise IT podcast features Jason Benedicic, Camberley Bates, and Ian Sanderson discussing the pros and cons of cloud repatriation with Stephen Foskett. A recent blog post by 37 Signals got the Tech Field Day delegates talking about the reality of running modern applications in enterprise-owned clouds, whether in the datacenter or co-located. Certainly the hardware and software are available to move applications on-prem, and some workloads may be better served this way. Most of the necessary components to run modern web applications are available on-prem, from Kubernetes to Postgres to Kafka, but these can prove difficult to manage, which is one of the things as-a-service customers are paying for. Looking back to the debut of OpenStack, enterprises have wanted to run applications in-house but they found it too difficult to manage. OpenShift is much more attractive thanks to the support and integration of the platform, but many customers have financial and administrative reasons for as-a-service deployment. It might not be a mass exodus, but there are plenty of examples of repatriation of modern applications. © Gestalt IT, LLC for Gestalt IT: Cloud Repatriation is Really Happening

Leading global tech analysts Patrick Moorhead (Moor Insights & Strategy) and Daniel Newman (Futurum Research) are front and center on The Six Five analyzing the tech industry's biggest news each and every week and also conducting interviews with tech industry "insiders" on a regular basis.    The Six Five represents six (6) handpicked topics that will be covered for five (5) minutes each.    Welcome to this week's edition of “The 6-5.” I'm Patrick Moorhead with Moor Insights & Strategy, co-host, joined by Daniel Newman with Futurum Research. On this week's show we will be talking:   GlobalFoundries Q3 Earnings https://twitter.com/danielnewmanUV/status/1722186242580959535 https://investors.gf.com/   Arm Q2 Earnings https://twitter.com/PatrickMoorhead/status/1722359864687571090 https://twitter.com/danielnewmanUV/status/1722365154254266685 https://www.cnbc.com/2023/11/08/arm-earnings-report-q2-2024.html   OpenAI Announcements https://twitter.com/PatrickMoorhead/status/1721722266273067366   IBM AI and Research Day https://twitter.com/PatrickMoorhead/status/1722703728891822533 https://twitter.com/PatrickMoorhead/status/1722630297064554981 https://twitter.com/PatrickMoorhead/status/1722625645803667496 https://twitter.com/PatrickMoorhead/status/1722619472501256679 https://twitter.com/danielnewmanUV/status/1722645843700752853 https://twitter.com/danielnewmanUV/status/1722618130856603762   VMWare / IBM / OpenShift https://news.vmware.com/releases/vmware-explore-2023-barcelona-ibm-watsonx-private-ai   Synopsys RISC-V IP https://news.synopsys.com/2023-11-07-Synopsys-Expands-Its-ARC-Processor-IP-Portfolio-with-New-RISC-V-Family https://www.synopsys.com/glossary/what-is-risc-v.html   Disclaimer: This show is for information and entertainment purposes only. While we will discuss publicly traded companies on this show. The contents of this show should not be taken as investment advice.

Welcome back to another exciting episode of Data Driven! In today's episode, we're diving into the world of artificial intelligence, as our very own Frank La Vigne takes us on a journey through his experiences at the OpenShift Commons gathering in Raleigh.From delivering a captivating demo to moderating a thought-provoking panel, Frank's agenda is packed with fascinating insights and surprises. Join us as we explore the power of open source AI, the importance of community-driven innovation, and why transparency is key in today's evolving landscape. So sit back, relax, and get ready to delve into the world of AI at OpenShift Commons Gathering. Let's get started!Show Notes[00:01:31] Newcomer excited for first OpenShift gathering to give demo, moderate panel, and interview attendees. Registration booth opening soon, located near Raleigh's main park and an IMAX.[00:04:34] Transparency, innovation, trust in OpenAI, Elon Musk's comments on openness and Red Hat's departure.[00:07:53] Excitement about hall track conversations, public vs private cloud, and upcoming discussions.

This week, we discuss measuring developer productivity, Unity licensing backlash, and some follow-up on Wireless Emergency Alerts. Plus, thoughts on coconuts. Watch the YouTube Live Recording of Episode (https://www.youtube.com/watch?v=bQtDvRPqXFs) 436 (https://www.youtube.com/watch?v=bQtDvRPqXFs) Runner-up Titles One day an ice machine will run on RISC-V Mo Developers Mo Problems W3C my ass. That's almost an aggressive blue. Wait. Do I live in an office complex? You pay the same Quarantine Quarters Maybe I have too much mindlessness Out of my way Costco, I'm going direct. Candy Corn Have you tried a bubble-sort? Omerta for developers Understand what you're measuring, or you'll just get measurements. KCNA23VMWEO20 Just make the bed Rundown Developer Productivity McKinsey Developer Productivity Review (https://dannorth.net/mckinsey-review/) Even longer rebuttal (https://newsletter.pragmaticengineer.com/p/measuring-developer-productivity). The only people who don't like metrics are the people being measured, or, developer productivity metrics quicksand (https://newsletter.cote.io/p/the-only-people-who-dont-like-metrics) Reports Kubernetes at Scale: Challenges, Priorities, Adoption Patterns, and Solutions (https://tanzu.vmware.com/content/analyst-reports/kubernetes-at-scale) Announcing the 2023 State of DevOps Report (https://cloud.google.com/blog/products/devops-sre/announcing-the-2023-state-of-devops-report) John Riccitiello is out at Unity, effective immediately (https://www.theverge.com/2023/10/9/23910441/unity-ceo-president-john-riccitiello-out-retire) Wireless Emergency Alerts (WEA) (https://www.fcc.gov/consumers/guides/wireless-emergency-alerts-wea) Relevant to your Interests Why companies still want in-house data centres (https://www.economist.com/business/2023/10/05/why-companies-still-want-in-house-data-centres) Understanding the Cyber Resilience Act: What Everyone involved in Open Source Development Should Know (https://www.linuxfoundation.org/blog/understanding-the-cyber-resilience-act) PayPal faces new antitrust lawsuit claiming it unfairly stifles competition with Stripe, Shopify and more (https://techcrunch.com/2023/10/05/paypal-faces-new-antitrust-lawsuit-claiming-it-unfairly-stifles-competition-with-stripe-shopify-and-more/) DuckDB Labs puts limit on free support, rules out VC funding (https://www.theregister.com/2023/10/05/duckdb_labs_puts_limit_on_vc_funds/) Genetics firm 23andMe says user data stolen in credential stuffing attack (https://www.bleepingcomputer.com/news/security/genetics-firm-23andme-says-user-data-stolen-in-credential-stuffing-attack/) Hackers are selling the data of millions lifted from 23andMe's genetic database (https://www.theverge.com/2023/10/7/23907330/23andme-leak-hackers-selling-user-dna-data) Datadog stumbles as Bank of America downgrades, citing recent checks (https://seekingalpha.com/news/4019064-datadog-stumbles-bank-of-america-downgrades-recent-checks) IBM CEO in damage control mode after AI job loss comments (https://www.itpro.com/technology/artificial-intelligence/ibm-ceo-in-damage-control-mode-after-ai-job-loss-comments) Google announces new generative AI search capabilities for doctors (https://www.cnbc.com/2023/10/09/google-announces-new-generative-ai-search-capabilities-for-doctors-.html) Be an Open Source Absolutist! (https://twitter.com/ID_AA_Carmack/status/1711737838889242880) Google Cloud mitigated largest DDoS attack, peaking above 398 million rps (https://cloud.google.com/blog/products/identity-security/google-cloud-mitigated-largest-ddos-attack-peaking-above-398-million-rps/) Nonsense Ice Is Not Necessary. So Why Do Hotels Provide It for Free? (https://slate.com/human-interest/2015/08/why-are-there-ice-machines-in-so-many-hotels.html) Listener Feedback Biogen hiring Senior Manager, Solution Architecture, Global Commercial and Medical IT (hybrid work) (https://jobs.smartrecruiters.com/Biogen/743999935046183-senior-manager-solution-architecture-global-commercial-and-medical-it-hybrid-work-) RedHat hiring Principal Product Marketing Manager, OpenShift in Remote (https://us-redhat.icims.com/jobs/100399/principal-product-marketing-manager%2c-openshift/job?mode=view&mobile=true&width=428&height=739&bga=true&needsRedirect=false&jan1offset=-300&jun1offset=-240) Conferences Oct 17th SpringOne Tour Online (free!) (https://springonetour.io/?utm_source=cote&utm_campaign=devrel&utm_medium=newsletter&utm_content=newsletterUpcoming) - Coté talking about platform engineering. Oct 17th and 24th **talk series (yes, a “webinar”): Building a Path to Production: A Guide for Managers and Leaders in Platform Engineering (https://series.brighttalk.com/series/6011/?utm_source=cote&utm_campaign=devrel&utm_medium=newsletter&utm_content=newsletterUpcoming). Coté's doing this. Nov 6-9, 2023, KubeCon NA (https://events.linuxfoundation.org/kubecon-cloudnativecon-north-america/), SDT's a sponsor, Matt's there. Use this VMware discount code for 20% off: KCNA23VMWEO20. Nov 6-9, 2023 VMware Explore Barcelona (https://www.vmware.com/explore/eu.html), Coté's attending Nov 7–8, 2023 RISC-V Summit | Linux Foundation Events (https://events.linuxfoundation.org/riscv-summit/) Jan 29, 2024 to Feb 1, 2024 That Conference Texas (https://that.us/events/tx/2024/schedule/) If you want your conference mentioned, let's talk media sponsorships. SDT news & hype Join us in Slack (http://www.softwaredefinedtalk.com/slack). Get a SDT Sticker! Send your postal address to stickers@softwaredefinedtalk.com (mailto:stickers@softwaredefinedtalk.com) and we will send you free laptop stickers! Follow us: Twitch (https://www.twitch.tv/sdtpodcast), Twitter (https://twitter.com/softwaredeftalk), Instagram (https://www.instagram.com/softwaredefinedtalk/), Mastodon (https://hachyderm.io/@softwaredefinedtalk), BlueSky (https://bsky.app/profile/softwaredefinedtalk.com), LinkedIn (https://www.linkedin.com/company/software-defined-talk/), TikTok (https://www.tiktok.com/@softwaredefinedtalk), Threads (https://www.threads.net/@softwaredefinedtalk) and YouTube (https://www.youtube.com/channel/UCi3OJPV6h9tp-hbsGBLGsDQ/featured). Use the code SDT to get $20 off Coté's book, Digital WTF (https://leanpub.com/digitalwtf/c/sdt), so $5 total. Become a sponsor of Software Defined Talk (https://www.softwaredefinedtalk.com/ads)! Recommendations Brandon: macOS Sonoma (https://www.apple.com/macos/sonoma/) Matt: HomeSeek (https://www.homeseekgame.com/) - post apocalyptic SimCity Coté: Menewood (https://www.goodreads.com/en/book/show/60784675), finally out! Over 700 subscribers for my newsletter - are you subscribed (https://newsletter.cote.io)?! Photo Credits Header (https://unsplash.com/photos/dFoOWRT97_0) Artwork (https://unsplash.com/photos/umixjcVd0Ws)

Welcome episode 228 of the Cloud Pod podcast - where the forecast is always cloudy! This week your hosts Justin, Jonathan, Matthew and Ryan are taking a look at Magic Quadrant, Gemini AI, and GraalOS - along with all the latest news from OCI, Google, AWS, and Azure.  Titles we almost went with this week: The CloudPod wonders if Anthropic's Santa Clause will bring us everything we want in an AI Bot. The Cloud Pod recommends protection to achieve Safer Google rides the gemini rocket to AI JPB The only Copilot I need Azure, is Booze GraalOS, or what we now call ‘the noise our CFO makes when he receives the Oracle audit bills' The hosts of the Cloud pod would like to understand how to properly pronounce GraalOS Is Oracle even on the magic quadrant for cloud? RedHat Puts lipstick on the pig and calls it OpenStack A big thanks to this week's sponsor: Foghorn Consulting provides top-notch cloud and DevOps engineers to the world's most innovative companies. Initiatives stalled because you have trouble hiring?  Foghorn can be burning down your DevOps and Cloud backlogs as soon as next week.

In this episode of Kubernetes Bytes, Bhavin Shah and Ryan Wallner interview Brian Chambers, Chief Architect at Chick-fil-A. Brian walks through some of the design decisions, challenges and architecture of how Chick-fil-A uses Kubernetes at the edge in their restaurants.Join the Kubernetes Bytes slack using: https://bit.ly/k8sbytesReady to shop better hydration, use "kubernetesbytes" to save 20% off anything you order.Try Nom Nom today, go to https://trynom.com/kubernetesbytes and get 50% off your first order plus free shipping. 01:05 Introduction 06:22 Cloud Native News 19:13 Interview with Madhuri 01:13:20 TakeawaysCloud Native News: K8s 1.28 https://kubernetes.io/blog/2023/08/15/kubernetes-v1-28-release/ SC assignment stable- https://kubernetes.io/blog/2023/08/15/kubernetes-v1-28-release/#automatic-retroactive-assignment-of-a-default-storageclass-graduates-to-stable Non graceful shutdown stable - https://kubernetes.io/blog/2023/08/15/kubernetes-v1-28-release/#generally-available-recovery-from-non-graceful-node-shutdown Ceph RBD and FS in tree deprecated Control plan and node supported version go from n-2 to n-3 Redhat Openstack services on OpenShift - https://www.redhat.com/en/blog/red-hat-openstack-services-openshift-next-generation-red-hat-openstack-platform Alcion 21 Million funding round: https://techcrunch.com/2023/09/19/alcion-which-provides-backup-and-security-services-to-enterprises-raises-21m/ Veeam was major funder: https://www.techtarget.com/searchdatabackup/news/366552363/Veeam-leads-funding-round-for-SaaS-backup-provider-Alcion Kubescape 3.0 - https://kubescape.io/blog/2023/09/19/introducing-kubescape-3/ GPU sharing on Amazon EKS with NVIDIA time-slicing and accelerated EC2 instances or MIG based sharing https://aws.amazon.com/blogs/containers/gpu-sharing-on-amazon-eks-with-nvidia-time-slicing-and-accelerated-ec2-instances https://aws.amazon.com/blogs/containers/maximizing-gpu-utilization-with-nvidias-multi-instance-gpu-mig-on-amazon-eks-running-more-pods-per-gpu-for-enhanced-performance/ Akuity launches Kargo - New Open Source project to automate declarative promotion of changes across multiple app environments - https://www.businesswire.com/news/home/20230918552920/en/Akuity-Launches-Kargo---a-New-Open-Source-Project-to-Automate-the-Declarative-Promotion-of-Changes-Across-Multiple-Application-Environments OpenTofu - Linux Foundations alternative to Terraform - loads of community support https://www.linuxfoundation.org/press/announcing-opentofu?hss_channel=lcp-208777 CFP already open for Paris!!!! https://events.linuxfoundation.org/kubecon-cloudnativecon-europe/program/cfp/ Spectro Cloud funding round - last was Series B - so this should be series C, but doesnt say. No amount disclosed, no valuation change disclosed. https://www.businesswire.com/news/home/20230914570380/en/Spectro-Cloud-Announces-Qualcomm-Ventures-Investment-to-Accelerate-Edge-and-AI-Innovation-at-Scale?hss_channel=lcp-36114581

As AI begins to go mainstream in IT, we're now at the stage where projects will either be AI-enabled or not, creating the new Bi-Modal IT for the 2020s.  SHOW: 722CLOUD NEWS OF THE WEEK - http://bit.ly/cloudcast-cnotwCHECK OUT OUR NEW PODCAST - "CLOUDCAST BASICS"SHOW SPONSORS:Find "Breaking Analysis Podcast with Dave Vellante" on Apple, Google and SpotifyKeep up to data with Enterprise Tech with theCUBESHOW NOTES:Why Digital Business needs BiModal IT (Gartner 2015)Slack getting an AI ChatbotNVIDIA shares spike on demand for AI chipsAI announcements from Microsoft Build 2023Windows and the AI Platform ShiftGoogle I/O and the coming AI BattlesRed Hat extends OpenShift for the Generative AI eraStackOverflow usage is down since ChatGPT launchEVERY VENDOR NOW HAS A PATH TO AI-INTEGRATED CAPABILITIESWhen cloud emerged in 2010s, IT projects became Bi-Modal (technology & people)Projects become classified as fast vs slow, old vs newGroups  become classified as fast vs slow, old vs newWILL AI-ENABLED CAPABILITIES CHANGE HOW AI PROJECTS ARE MEASURED?Expect AI to be asked about for every IT project, by leadershipExpect to see AI being pushed into every IT projectEvery vendor is going to highlight the AI integrations in their productsStart learning how the economics change if IT is potentially part of a projectExpect people-reduction to be a real consideration with AI projectsFEEDBACK?Email: show at the cloudcast dot netTwitter: @thecloudcastnet