Cloud Computing Insider

David Linthicum

Hosted by cloud computing pioneer David Linthicum, the Cloud Computing Insider podcast gets to the bottom of what cloud computing, and generative AI can bring to your enterprise. New content will focus on what's important to you as a user of cloud computing and generative AI, and the ability to find value the first time.

  1. 10 GIỜ TRƯỚC

    Are Hyperscalers Turning Consulting Firms into Sales Channels?

    This commentary argues that Google Cloud's "agentic enterprise" partner push is less an open ecosystem strategy than a carefully structured channel motion designed to increase platform dependency. Google is offering funding, early model access, embedded engineering help, and in-platform distribution, all of which make it harder for consulting firms to remain neutral when advising enterprise clients.   The core concern is conflict of interest. Enterprises hire advisors to assess the full market across hyperscalers, SaaS providers, open-source models, on-prem architectures, and even non-AI alternatives, yet these incentives encourage partners to steer buyers toward Gemini Enterprise and adjacent Google services.   The timing also matters. Even as AI budgets are rising sharply, actual agentic deployment remains immature and uneven, which suggests this ecosystem push is also about stimulating demand for technology that has not yet achieved broad organic adoption. From a David Linthicum perspective, the issue is not that Google should stop competing. It is that clients deserve transparent disclosure when supposedly independent recommendations may be shaped by partner funding, preferred access, and alliance economics. That is the difference between a healthy partner ecosystem and a vendor-led influence machine disguised as neutral transformation advice for enterprises making expensive long-term architectural and governance decisions.

    14 phút

  2. 3 NGÀY TRƯỚC

    Why You Still Can't Get a Cloud Job in 2026

    If you are struggling to land a cloud computing job in 2026, this video breaks down the ugly truth nobody wants to say out loud. The market is not just competitive, it is distorted. Too many job seekers are wasting time on scam listings, ghost jobs, fake remote roles, and job descriptions written by people who clearly do not understand cloud work. On top of that, candidates are getting screened out by recruiters who cannot tell the difference between real ability and keyword stuffing.  Employers say they want cloud talent, then post impossible wish lists, argue over which certifications matter, delay hiring because they think AI might replace part of the role, and refuse to pay what experienced cloud professionals are actually worth. This is not just a skills problem. It is a hiring market full of confusion, mixed signals, and bad incentives. In this video, I break down five reasons why qualified people still cannot get hired, why the cloud job search feels broken, and what these patterns say about the state of the tech industry right now. If you have been applying, getting ignored, and wondering whether the problem is you, this video will probably hit a little too close to home.

    11 phút

  3. 14 THG 5

    The DRAM Squeeze Pushing Enterprises to Cloud

    This video breaks down a troubling dynamic in the server market: the biggest cloud providers may be helping drive the DRAM shortage and then benefiting when enterprises are forced to react. According to The Register, AI infrastructure is absorbing huge amounts of memory, suppliers are prioritizing the largest buyers, and many enterprises are facing higher prices, slower deliveries, and less negotiating power when trying to expand or refresh their own hardware. That creates a harsh feedback loop. Hyperscalers secure scarce memory for massive AI buildouts, tighten supply for everyone else, and then sell cloud capacity to the same companies now struggling to afford on-prem infrastructure. The article does not prove illegal market manipulation, but it does describe a market structure that strongly favors hyperscalers through scale, supplier access, and the ability to capture demand when shortages hit enterprise buyers hardest. For enterprises, the real issue is not just rising DRAM prices. It is whether the economics of infrastructure are being reshaped in a way that leaves them with fewer real choices, more cloud dependency, and less control over their own AI and application strategy.

    12 phút

  4. 11 THG 5

    Why Consultants Keep Recommending Bad Tech

    AI consulting is being sold as the next great enterprise revolution, but too much of the market looks more like a land grab than real transformation. In this video, I break down why so many consulting firms seem obsessed with partnerships, ecosystems, and "owning the stack," while saying far less about measurable client value. The issue is not that AI lacks potential. It clearly has enormous potential. The issue is that many firms are treating vendor alignments and flashy positioning as if they were proof of capability. They are not.   When consulting firms lead with partner logos, push agents before understanding the process, and recommend expensive technology stacks before proving the economics, clients often end up paying for complexity, hype, and experimentation instead of outcomes. That is where the AI consulting gold rush starts to look dangerous.   This video explores the incentives driving the market, the gap between AI marketing and AI competence, and the warning signs enterprise buyers should watch for before signing large contracts. If consulting firms want to lead in AI, they need to prove they can create real business value, not just sell the latest version of fear of missing out to drive unnecessary enterprise spending today.

    13 phút

  5. 7 THG 5

    Why Digital Transformation Stalls: Cloud, Culture, AI Governance, and Workforce Readiness

    This session explores why digital transformation efforts often stall even after major cloud investments. The core issue is that infrastructure can be modernized faster than culture, governance, and workforce behavior. Rather than treating cloud as a migration exercise, leaders must use it to redesign operating models, decision-making, and value creation. The discussion highlights how the Capability Maturity Model can help organizations move from fragmented practices to continuous monitoring and a strong Cloud Center of Excellence. It also reframes the digital skills gap as a development challenge, showing why structured learning journeys, coaching, and social learning outperform one-off training or a search for rare AI talent. The session further examines why boards need greater digital fluency as AI adoption accelerates, and how governance weakens when leadership ambition outpaces oversight capability. It concludes with a practical look at modern AI governance, including dynamic controls for agentic systems, trust-centered assurance, and guardrails for democratized IT through approved tools, visibility, and risk monitoring. Attendees will leave with a clearer framework for aligning cloud, talent, governance, and trust to drive sustainable transformation. The focus is practical, executive-level, and aimed at organizations seeking to scale innovation without losing accountability, resilience, or strategic clarity across the enterprise today.

    35 phút

  6. 4 THG 5

    Public Cloud Reliability Sucks. Let's Stop Pretending

    Public cloud reliability sucks, and the industry has spent years pretending otherwise. The sales pitch is always the same: better uptime, better resilience, less operational pain. But when public cloud fails, it fails big, and everyone pays for it. These platforms are supposed to reduce risk, yet they often concentrate it. One outage in a major provider can cripple applications, break authentication, disrupt storage, kill APIs, and leave entire businesses frozen. That is not resilience. That is shared fragility at a massive scale.   The real problem is that public cloud providers have become too central to too much of the economy. Companies move critical systems into environments they do not control, cannot fully inspect, and cannot quickly recover from when things go wrong. Providers talk endlessly about redundancy, but customers still end up exposed to regional failures, control plane issues, cascading dependencies, and platform-wide mistakes. Public cloud is sold as modern infrastructure, but too often it behaves like an outsourced vulnerability. When it works, everyone congratulates the model. When it breaks, customers discover how little power they actually have. Public cloud reliability does not just disappoint. It fails in exactly the ways businesses were told it would not.

    10 phút

  7. 30 THG 4

    The Great Agentic Distraction: Why Cloud Innovation Just Slowed Down

    In this video, I break down what I call the Great Agentic Distraction: the growing tendency of cloud providers to pour talent, capital, and roadmap attention into agentic AI while slowing improvement in the core cloud services most enterprises still depend on. For more than a decade, cloud computing won enterprise trust through steady gains in reliability, security, governance, observability, scalability, and cost efficiency. That kind of progress mattered because it improved real-world operations for nearly everyone.  Now the market narrative has shifted. Providers are racing to retool platforms for agentic AI, autonomous workflows, orchestration layers, and AI-centric architectures. But while that future may be promising, most enterprises are not there yet. They still need better performance, lower complexity, stronger controls, predictable costs, and simpler operations.  Using a clear visual timeline, I explain how core-service innovation rose steadily, then flattened as the agentic AI push began. The key issue is not whether agentic AI is valuable. It is whether the industry is starving today's enterprise priorities to finance tomorrow's vision. If that imbalance continues, many customers may see agentic AI not as progress, but as a distraction. And that should worry every CIO planning the next five years of investment.

    10 phút

  8. 27 THG 4

    5 Ways to Stay Relevant in Cloud Computing in 2026

    Cloud careers in 2026 are being shaped by more than technical knowledge alone. Employers still want strong capability in platforms like AWS, Azure, and Google Cloud, but they are increasingly looking for people who can connect infrastructure work to security, automation, cost control, AI readiness, and business outcomes. That means career growth now depends on building a solid foundation, adding a specialty, and proving your skills through hands-on work that others can see and trust.   Certifications can open doors, but projects, architecture writeups, GitHub repositories, and real operational experience help keep those doors open. Just as important, professionals need to stay visible by keeping LinkedIn and X profiles current, sharing ideas, posting lessons learned, and pointing people toward the work they have done.   Networking matters too, especially through live events such as meetups, conferences, and community groups, where many opportunities begin through conversation rather than formal applications. The overall message from today's cloud career advice is simple: learn continuously, build publicly, communicate clearly, and make sure both your skills and your professional presence show that you are ready for what comes next. Professionals who combine curiosity, consistency, and credibility will be best positioned to grow, earn trust, and lead future initiatives.

    16 phút
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Giới Thiệu

Hosted by cloud computing pioneer David Linthicum, the Cloud Computing Insider podcast gets to the bottom of what cloud computing, and generative AI can bring to your enterprise. New content will focus on what's important to you as a user of cloud computing and generative AI, and the ability to find value the first time.

Thông Tin

  • Nhà sáng tạo
    David Linthicum
  • Năm hoạt động
    2024 - 2026
  • Tập
    137
  • Xếp hạng
    Sạch
  • Bản quyền
    © 2024
  • Trang web chương trình
    Cloud Computing Insider

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