Latest / Best of LinkedIn: Digital Transformation & Tech / Best of LinkedIn: Cloud Insights CW 47/ 48

Transcript

Best of LinkedIn: Cloud Insights CW 47/ 48 · Best of LinkedIn: Digital Transformation & Tech

• 0:00
  Speaker 0: This episode is provided by Thomas Allgaier and Frenus based on the most relevant LinkedIn posts about cloud in calendar weeks, forty seven and forty eight.
• 0:08
  Speaker 0: Frenus enables enterprises with market technology and competitive intelligence for portfolio and strategy development.
• 0:16
  Speaker 0: This edition is brought to you by our partner, Google Cloud.
• 0:18
  Speaker 0: Don't miss out on their upcoming event, Google Cloud Live plus labs Geneva on fourth December.
• 0:23
  Speaker 0: Find the link to the event in the description.
• 0:25
  Speaker 0: Welcome to the deep dive.
• 0:27
  Speaker 0: Our mission is well.
• 0:28
  Speaker 0: pretty clear.
• 0:29
  Speaker 0: We're giving you that ultimate strategic shortcut to understanding where the cloud market is right now.
• 0:34
  Speaker 0: We've pulled the top insights from LinkedIn in weeks, forty seven and forty eight.
• 0:38
  Speaker 0: And what they show is a a really massive accelerating shift in priorities.
• 0:43
  Speaker 1: It's absolutely a shift.
• 0:44
  Speaker 1: It's gone from a focus on raw capability to operational control.
• 0:49
  Speaker 1: For so long, the whole conversation was just about what the cloud could do.
• 0:52
  Speaker 1: Now, the overwhelming focus is on how you govern it, how you control the costs, and really how you build resilience against, well, against geopolitical and operational risk.
• 0:59
  Speaker 1: The market's matured and it's matured fast.
• 1:02
  Speaker 0: We've basically grouped the intensity of the last few weeks into three big themes.
• 1:06
  Speaker 0: First up, we've got the accelerating reality of digital sovereignty, especially in Europe, and what that actually means for global architecture.
• 1:15
  Speaker 0: It's moving from policy to an industrial imperative.
• 1:19
  Speaker 1: And second, we're gonna dig into the, let's call them the painful realities of phenops.
• 1:23
  Speaker 1: Companies are still hemorrhaging money, and we're looking beyond just tagging problems to the cultural and governance gaps that are causing the leaps.
• 1:31
  Speaker 0: And finally, we'll look at how AI is fundamentally reshaping cloud infrastructure.
• 1:37
  Speaker 0: It's pushing us toward what some are calling the agentic enterprise and this massive race for continental scale compute.
• 1:44
  Speaker 0: So let's jump right in.
• 1:46
  Speaker 0: The strategic imperative.
• 1:48
  Speaker 0: sovereignty.
• 1:48
  Speaker 0: When we talk about digital sovereignty, the feeling we got from the sources, you know, from experts like Christian Schultz and Dario Meisto, is that this isn't a policy discussion anymore.
• 1:56
  Speaker 0: It's a full-on strategic imperative.
• 1:58
  Speaker 0: It's moved straight into industrial policy.
• 2:01
  Speaker 1: It absolutely has.
• 2:01
  Speaker 1: And that alignment is crucial.
• 2:03
  Speaker 1: LaTace Bozeman, for example, highlighted how France and Germany are now converging on a shared definition.
• 2:08
  Speaker 1: And that's effectively signaling a bi-European approach for public sector services.
• 2:14
  Speaker 1: This isn't just talk.
• 2:16
  Speaker 1: Europe is moving from, you know, discussing digital autonomy to actually enforcing it through strategic procurement.
• 2:22
  Speaker 0: But the term sovereignty itself can be tricky.
• 2:25
  Speaker 0: It often gets mixed up with just, you know, data location.
• 2:29
  Speaker 0: Susan Brown made a really vital clarification on this.
• 2:31
  Speaker 0: Yes, she did.
• 2:32
  Speaker 0: She said sovereignty isn't about the physical location of a data center.
• 2:35
  Speaker 0: It's fundamentally about the control model.
• 2:38
  Speaker 0: Why is that distinction so important for organizations?
• 2:40
  Speaker 0: It
• 2:41
  Speaker 1: matters because location alone gives you zero protection if the provider is still legally subject to extraterritorial demands.
• 2:49
  Speaker 1: As Dave Michaels pointed out, the main reason for using a sovereign cloud isn't just local privacy rules.
• 2:56
  Speaker 1: It's specifically about protecting against those external data requests.
• 3:00
  Speaker 1: It's a battle of jurisdiction and governance over who has access, who holds the keys, and who runs the operations.
• 3:06
  Speaker 0: Which of course brings us to the elephant in the room that causes most of this anxiety.
• 3:11
  Speaker 0: The U.S.
• 3:12
  Speaker 0: Cloud Act.
• 3:14
  Speaker 0: We've seen so much continued concern around this.
• 3:16
  Speaker 0: What exactly is the legal friction that people like Jim Loicano and Chia Kamiri are pointing out?
• 3:22
  Speaker 1: The core friction is the power of the Cloud Act to compel U.S.
• 3:26
  Speaker 1: base providers to produce data in a, quote, readable form.
• 3:31
  Speaker 1: This legal obligation can legally supersede a lot of the technical controls you might put in place, even if you manage your own encryption keys.
• 3:38
  Speaker 0: So even with your own keys there's a risk.
• 3:40
  Speaker 1: For regulated European entities, that legal vulnerability, the chance that a foreign government could compel access, it remains a totally unacceptable risk, regardless of where the bits are physically sitting.
• 3:50
  Speaker 0: So if the legal framework is the core problem, how are the big three hyperscalers trying to address this?
• 3:56
  Speaker 0: How are they trying to mitigate that risk for their EU customers?
• 3:59
  Speaker 1: Well, Chris Menatus give a great breakdown of the three distinct strategies.
• 4:03
  Speaker 1: Microsoft is leaning heavily on its EU data boundary.
• 4:06
  Speaker 1: They're ensuring processing, even for tools like Copilot, stays within those EU bounds, and that's all backed by customer-managed keys.
• 4:13
  Speaker 0: So that's more of a technical, geo-fenced solution?
• 4:16
  Speaker 0: How's Google's approach different?
• 4:18
  Speaker 1: Google is taking a partnership route.
• 4:19
  Speaker 1: They're delegating parts of sovereignty to local trusted partners, setting up things like the Sovereign Cloud Hub in Munich.
• 4:27
  Speaker 1: It's a trust through regional engagement model where the governance is handled closer to home.
• 4:32
  Speaker 0: And then there's AWS, which seems to be taking the strongest stance on actual separation.
• 4:37
  Speaker 1: That's right.
• 4:38
  Speaker 1: Catherine Renz detailed their strategy.
• 4:40
  Speaker 1: They are creating a completely separate new EU governed cloud.
• 4:46
  Speaker 1: And the key here isn't just location, it's autonomous operations.
• 4:50
  Speaker 0: Autonomous how?
• 4:51
  Speaker 1: It's operated exclusively by EU citizens and designed to function entirely on its own, even if connectivity to the global AWS network is cut.
• 4:59
  Speaker 1: It's the highest level of physical, organizational, and human separation you can get to try and mitigate those risks we were just talking about.
• 5:06
  Speaker 0: These are major commitments, and they're already landing huge contracts.
• 5:09
  Speaker 0: Luke Leon reported that NATO recently awarded Google Cloud a multi-million dollar contract to build a fully air-gapped sovereign cloud.
• 5:17
  Speaker 1: And we're seeing this shape new tech, too.
• 5:20
  Speaker 1: SAP, for instance, is introducing its EU AI cloud.
• 5:23
  Speaker 1: Sebastian Steinhauser made the point that they get it.
• 5:26
  Speaker 1: AI innovation has to be paired with trusted sovereign governance from day one, or regulated industries just won't touch these new tools.
• 5:34
  Speaker 0: And on the regulatory side, Europe is definitely stepping up its oversight.
• 5:39
  Speaker 1: Henover Keunen and Dr.
• 5:40
  Speaker 1: Apostolis Criticopoulos noted that the European Commission launched investigations under the Digital Markets Act.
• 5:47
  Speaker 1: the DMA.
• 5:48
  Speaker 1: To see whether AWS and Microsoft Azure are acting as market gatekeepers, even if they don't hit those formal thresholds.
• 5:55
  Speaker 0: And that's a huge move.
• 5:56
  Speaker 0: It signals that the EU sees control over foundational cloud infrastructure as a strategic issue, not just a numbers game.
• 6:03
  Speaker 0: If you dominate the infrastructure everyone else needs, you're going to face more scrutiny.
• 6:07
  Speaker 0: It's a trend everyone needs to watch.
• 6:09
  Speaker 1: This regulatory pressure, it naturally raises the question, what about the local European alternatives?
• 6:14
  Speaker 1: Christoph Stalmach made a really compelling argument that telcos are maybe Europe's most unrealized sovereign cloud asset.
• 6:20
  Speaker 1: Why are they so well positioned?
• 6:22
  Speaker 1: Well, they're positioned because they inherently cover the four pillars of sovereignty.
• 6:27
  Speaker 1: They control data location.
• 6:29
  Speaker 1: They know who is physically touching the hardware.
• 6:31
  Speaker 1: They govern the network flow.
• 6:32
  Speaker 1: And crucially, they have decades of experience with national compliance and running critical national infrastructure.
• 6:38
  Speaker 0: I don't have to build trust from scratch.
• 6:40
  Speaker 1: Exactly.
• 6:40
  Speaker 1: They've already earned it.
• 6:42
  Speaker 0: And we're
• 6:42
  Speaker 1: seeing domestic players like OVH Cloud in France and Hetzner in Germany really capitalizing on this as failure companions.
• 6:50
  Speaker 1: detailed.
• 6:51
  Speaker 0: Sovereignty isn't
• 6:52
  Speaker 1: just about how the US hyperscalers react.
• 6:54
  Speaker 1: It's about enabling real continental alternatives.
• 6:57
  Speaker 0: Okay.
• 6:58
  Speaker 0: So we've established that global scale is being challenged by these new geopolitical borders and the need for control.
• 7:04
  Speaker 0: But that need for control applies just as fiercely to internal budgets.
• 7:08
  Speaker 0: Let's switch from jurisdictional friction to financial friction.
• 7:12
  Speaker 0: Phenoms.
• 7:13
  Speaker 0: Despite being a mature discipline, companies are still struggling with just basic cost visibility.
• 7:18
  Speaker 1: They are, and the struggle almost always starts at the data layer.
• 7:21
  Speaker 1: It's messy, it's inconsistent.
• 7:23
  Speaker 1: Eric Lam identified six common data traps that actively stop organizations from getting any real value from their spending metrics.
• 7:32
  Speaker 1: If your data is bad, your insights are useless.
• 7:35
  Speaker 0: So what are the biggest traps?
• 7:37
  Speaker 0: killing organizations right now.
• 7:39
  Speaker 1: Well, tagging chaos is pretty universal.
• 7:42
  Speaker 1: You've got inconsistent, non-normalized tags across a multi-cloud setup, which makes it impossible to reliably track spend.
• 7:49
  Speaker 1: But the one that finance absolutely hates is the fruit salad trap.
• 7:52
  Speaker 0: Fruit salad?
• 7:53
  Speaker 0: Yeah,
• 7:54
  Speaker 1: mixing currencies.
• 7:54
  Speaker 1: You can't just mix cost metrics in euros, dollars, and yen and then show that salad to finance and expect them to trust it.
• 8:00
  Speaker 1: You have to normalize the currency or the whole report is compromised from the start.
• 8:05
  Speaker 0: It sounds so basic.
• 8:06
  Speaker 0: But I can see how, with hundreds of accounts globally, it gets overlooked.
• 8:10
  Speaker 0: And this all leads to that master dashboard problem, where one dashboard tries to serve everyone and ends up serving no one.
• 8:16
  Speaker 1: Exactly.
• 8:17
  Speaker 1: Engineers need utilization data.
• 8:19
  Speaker 1: Finance needs forecasts.
• 8:21
  Speaker 1: Leadership needs high level KPIs.
• 8:23
  Speaker 1: One dashboard just fails everybody.
• 8:25
  Speaker 1: And beyond the reporting, you've got these silent cost leaks hiding in the default settings.
• 8:30
  Speaker 1: Can
• 8:30
  Speaker 0: you give us an actionable example, something that could be fixed today?
• 8:33
  Speaker 0: Sure.
• 8:33
  Speaker 1: Riaz Syod had a great playbook for cutting runaway CloudWatch log costs, which are just a notorious cost drain.
• 8:40
  Speaker 1: Three simple moves.
• 8:41
  Speaker 1: First, move production to the Inafo log level, not dehebug.
• 8:45
  Speaker 1: Second, sample your debug logs.
• 8:47
  Speaker 1: Don't ingest everything.
• 8:49
  Speaker 1: And third, adjust retention.
• 8:51
  Speaker 1: The default is never expi- which leads to massive indefinite storage costs.
• 8:56
  Speaker 1: Just limiting it to fourteen or thirty days can provide huge immediate savings.
• 9:01
  Speaker 0: It's instantly actionable.
• 9:02
  Speaker 0: But we know FINOP's maturity goes way beyond simple config changes.
• 9:06
  Speaker 0: DSAF Lvivano noted that while providers keep releasing really good FINOP's features like forecasting or EKS cost allocation, the tools themselves often fall short.
• 9:14
  Speaker 0: the second you introduce human complexity.
• 9:16
  Speaker 1: And that is the critical organizational insight.
• 9:19
  Speaker 1: The tools are brilliant at the infrastructure layer, but they don't inherently manage human accountability or cross-departmental budgets.
• 9:27
  Speaker 1: That organizational gap is often just too big for internal teams to bridge on their own.
• 9:32
  Speaker 0: And Grant Byram, citing Accenture's work, highlighted that exact point.
• 9:37
  Speaker 0: Bringing in a strategic partner can accelerate maturity because they bridge that execution gap.
• 9:42
  Speaker 0: They bring the operational design needed to make the tools actually work in a complex company.
• 9:47
  Speaker 1: Which brings us back to culture.
• 9:48
  Speaker 1: Dan W made a crucial observation that true fine ops maturity means moving past just saying, we need a culture change.
• 9:55
  Speaker 1: You have to specifically understand the behavioral dynamics, the cognitive biases, and the motivations that shape spending decisions inside your organization.
• 10:04
  Speaker 1: Then you design the culture around that.
• 10:06
  Speaker 0: So it's not enough to just say, be cost aware.
• 10:09
  Speaker 0: You have to design the incentives and the workflows that address how people actually behave when they provision resources.
• 10:15
  Speaker 1: Precisely.
• 10:16
  Speaker 1: If there's no accountability until the bill shows up, that's a governance failure, not a tooling failure.
• 10:21
  Speaker 1: And that's why integrating FinOps with established frameworks is so key.
• 10:25
  Speaker 1: Nicholas Fondrini highlighted connecting FinOps to COVID to provide that necessary governance backbone.
• 10:31
  Speaker 0: And how does a framework like COVID help FinOps get to that next level?
• 10:35
  Speaker 1: It provides structure and discipline.
• 10:37
  Speaker 1: It ensures spending decisions aren't just efficient, but they're auditable, they're aligned with enterprise value, and they're tied back to specific accountability points.
• 10:46
  Speaker 1: Phenops gives you the data.
• 10:47
  Speaker 1: Kobit gives you the strategic control framework to enforce the change.
• 10:52
  Speaker 0: Alright, shifting gears to our final theme.
• 10:54
  Speaker 0: How AI is fundamentally reshaping the cloud infrastructure of the future, which demands maximum operational maturity.
• 11:01
  Speaker 0: Aiman Hussein noted that organizations have moved from cloud curiosity to cloud confidence.
• 11:06
  Speaker 1: Confidence is definitely the keyword.
• 11:08
  Speaker 1: It signals that modernization is now a strict discipline, not just an experiment.
• 11:13
  Speaker 1: We're moving way past the simple lift and shift mindset.
• 11:16
  Speaker 1: To get AI ready, you have to embrace cloud-native design containers, serverless, to get those faster learning loops.
• 11:23
  Speaker 0: And if you don't make that architectural shift, you just don't see the business value, no matter how great the cloud platform is.
• 11:30
  Speaker 0: Bebeck Chatterjee's key insight was that the cloud isn't failing, strategy translation is.
• 11:35
  Speaker 1: Exactly.
• 11:36
  Speaker 1: The tech stack is often fine, but the business value arrives slowly, or not at all, if the architecture wasn't explicitly built for specific needs like real-time risk scoring or cost-controlled analytics for AI training.
• 11:50
  Speaker 1: If you don't engineer for specific value, you won't get it.
• 11:53
  Speaker 0: So if that's the discipline required, what does the future operating model look like?
• 11:56
  Speaker 0: What are the KPIs for leadership in this AI era?
• 11:59
  Speaker 1: Benjamin Herman proposed three interconnected KPIs for leaders aiming for twenty-twenty-six, which really defined this agentic enterprise.
• 12:07
  Speaker 1: First, they need to get over fifty percent true public cloud adoption for their underlying infrastructure.
• 12:12
  Speaker 1: And
• 12:12
  Speaker 0: the second.
• 12:12
  Speaker 1: Achieve seventy percent everyday AI for everyone adoption.
• 12:16
  Speaker 1: AI can't be stuck in an R&D lab.
• 12:18
  Speaker 1: It has to be pervasive from HR to sales.
• 12:21
  Speaker 0: And the third KPI really seems to tie it all together, ensuring every business unit offers its expertise as a chatbot.
• 12:27
  Speaker 1: That third point is the essence of the agentic enterprise.
• 12:31
  Speaker 1: It means every department legal finance operations has structured its core knowledge so it can be served instantly by an AI agent.
• 12:39
  Speaker 1: It transforms internal processes from human mediated cues into AI native knowledge bases.
• 12:44
  Speaker 1: The efficiency gain is immense.
• 12:47
  Speaker 0: And to support that vision, the infrastructure investment is just staggering.
• 12:51
  Speaker 0: We're seeing a continental scale AI infrastructure race.
• 12:54
  Speaker 1: We really are.
• 12:55
  Speaker 1: Elijah Zanov and Manish Ranjan documented some of these huge investments.
• 12:59
  Speaker 1: Microsoft committed ten billion dollars to an AI data center hub in Portugal, just to house over twelve thousand NVIDIA GPUs.
• 13:07
  Speaker 0: Wow.
• 13:08
  Speaker 1: Meanwhile, Google is pouring five and a half billion euros into German data centers.
• 13:12
  Speaker 1: This kind of investment is about creating sovereign, accelerated, AI-ready platforms in key strategic locations.
• 13:19
  Speaker 0: And the internal architecture has to change to manage that scale.
• 13:22
  Speaker 0: Aviv Weiss described the private cloud operating model, or PCWIM.
• 13:26
  Speaker 0: This is more of an organizational pivot than a technical one.
• 13:28
  Speaker 1: It's a total transformation, where traditional silos compute, network, data stop operating separately, and align as a single unified platform team.
• 13:38
  Speaker 1: They're goal shifts.
• 13:39
  Speaker 1: They're no longer just delivering IT projects.
• 13:42
  Speaker 1: They're delivering integrated AI-ready products to the business.
• 13:46
  Speaker 0: That focus on unifying the data plane seems absolutely crucial.
• 13:49
  Speaker 0: I mean, if you don't know where your data is, your AI agents will never hit that seventy percent adoption rate.
• 13:55
  Speaker 1: Data ops is the key.
• 13:57
  Speaker 1: Dhruv R shared a great practical example.
• 14:00
  Speaker 1: They helped a global retailer cut data discovery time by fifty percent just by enforcing unification.
• 14:06
  Speaker 1: They put everything into a central cloud data catalog and rigorously mapped the lineage.
• 14:11
  Speaker 1: That shift from data chaos to data confidence is the absolute prerequisite for the agentic enterprise.
• 14:17
  Speaker 0: That brings everything full circle, doesn't it?
• 14:19
  Speaker 0: We've got this pressure for local control and sovereignty clashing with the relentless push for AI innovation and global scale, all of which require intense phenox discipline to manage.
• 14:28
  Speaker 1: That is the central tension, absolutely.
• 14:30
  Speaker 1: As Konstantin Rolsov noted, cloud sovereignty should be seen as a strategic advantage that builds trust, not just a compliance checkbox.
• 14:39
  Speaker 1: Organizations have to balance that global capability with geopolitical trust.
• 14:43
  Speaker 0: Which means every single strategic infrastructure choice you make today is a fundamental statement about resilience and, frankly, national autonomy.
• 14:52
  Speaker 0: As Ashish Kumar put it, geopolitics and data privacy are drawing new borders in the cloud.
• 14:58
  Speaker 0: Understanding your Phenops readiness is now completely inseparable from understanding your regulatory risk.
• 15:03
  Speaker 1: If you enjoyed this episode, new episodes drop every two weeks.
• 15:07
  Speaker 1: Also check out our other editions on ICT and tech, digital products and services, artificial intelligence, sustainability and green ICT, defense, tech
• 15:14
  Speaker 0: and health.
• 15:15
  Speaker 0: Thanks for diving deep with us.
• 15:16
  Speaker 0: We'll catch you next time.