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. قبل ٤ أيام

    The Cloud Security Crisis No One Wants to Admit—61% Failure Rate

    In this crucial video, cloud security leader David Linthicum exposes a troubling statistic: 61 percent of cloud security incidents are completely preventable. Drawing on the latest security research, David reveals the most common—and avoidable—mistakes that leave enterprises vulnerable to cyberattacks, data leaks, and compliance violations. He breaks down the top culprits, from misconfigured cloud environments and weak access controls to lapses in ongoing monitoring and lack of employee training. David explains why organizations often falter on basic security hygiene and shows how these oversights create easy targets for attackers. Importantly, he translates these findings into actionable solutions. Viewers will learn why regular audits, continuous education, and automated security tools are critical for reducing risk, and how building a security-first culture can close the door on costly incidents. Packed with practical advice, this video gives IT leaders, security professionals, and business executives a blueprint for dramatically improving their organization's cloud security. Don't let your company become another statistic—discover how to avoid the 61 percent of incidents that should never happen, and transform the cloud from a weak spot into your enterprise's strongest line of defense.

    ١٣ من الدقائق

  2. قبل ٥ أيام

    Azure Softness + AI Capex = The Public Cloud's New Problem

    Why did Microsoft stock drop even after a headline beat? In this episode, cloud analyst David Linthicum breaks down the market's "beat-and-drop" reaction to Microsoft's latest earnings and what it signals about Azure, AI, and hyperscaler spending. He explains how expectations for a clear cloud re-acceleration collided with guidance that sounded more like "we're investing ahead of demand," raising concerns about capital intensity and near-term margins. Linthicum walks through the optics around Azure growth, capacity build-outs for AI training and inference, and why investors are increasingly sensitive to capex without fast operating leverage. The conversation also explores a structural shift in enterprise cloud choices—hybrid, private and sovereign cloud, colocation, and managed service providers—and how workload economics (egress, governance, and consumption creep) can make public cloud less attractive for steady-state compute. Finally, he balances the bear case with the bull case: Microsoft's distribution advantage across Microsoft 365, security, and developer tools, and the possibility that today's spend is strategic moat-building. If you want a clearer framework for reading cloud earnings, this video delivers. You'll learn what metrics to watch next quarter, how to interpret "capacity constraints" versus demand, and where AI monetization may show up first in pricing, usage, and margins.

    ١٦ من الدقائق

  3. ٢٦ يناير

    Why the Tech Industry Keeps Lying to Itself (and You)

    The tech industry is brilliant at building new things—and terrible at admitting when it gets them wrong. In this video, I break down why our predictions about cloud, AI, big data, blockchain, metaverse, and more so often miss reality by a mile. From wildly optimistic analyst forecasts (including early cloud growth predictions that were way off) to vendor-driven hype cycles, we've built a system that rewards confidence, not accuracy.   I walk through concrete examples where the narrative sounded irresistible, the slideware looked perfect, and the pilots seemed promising—but large enterprises never followed at scale. The core problem isn't intelligence or innovation; it's confirmation bias, misaligned incentives, and a complete underestimation of real-world constraints: legacy systems, budgets, regulation, skills, and risk.   You'll learn how to recognize the telltale signs of hype, how to separate "cool demo" from "sustainable value," and how to ask the uncomfortable questions that cut through the noise. Whether you're a CIO, architect, engineer, or business leader, my goal is simple: help you stop getting pushed around by tech narratives—and start making grounded, reality-based decisions. If you're tired of being sold "the future" that never quite arrives, this video is for you.

    ٢٣ من الدقائق

  4. ٢٢ يناير

    Agentic AI Playbook Spam: Why "Proven" Agentic AI Frameworks and Strategies Are Not Working

    In this video, David Linthicum breaks down the sudden explosion of "agentic AI" playbooks, frameworks, and branded platforms now pouring out of the consulting industry. Every big firm wants to look like it owns the future of autonomous work, so the market is being flooded with glossy diagrams, maturity models, and "fast paths" that promise cheap, repeatable success—sometimes with language that feels close to a guarantee. But agentic AI is not a plug-in. It's an architecture, and architecture only works when it matches your processes, data quality, controls, integration realities, and operating model. When frameworks lead with the platform instead of the problem, enterprises end up force‑fitting agents into brittle systems, over-building orchestration layers, and running old processes in parallel "just in case." The hidden costs show up later: governance overhead, constant tuning, fragile pilots, and disappointing ROI. You'll learn the red flags to watch for, the questions to ask before funding an "agentic transformation," and how to pursue smaller, measurable wins without buying expensive theater. If you're a CIO, CTO, or business leader, this is your reality check before the next deck lands in your inbox. We'll also discuss when simpler automation beats agents—and when agents earn their keep.

    ١٩ من الدقائق

  5. ١٩ يناير

    Big Tech Is PANICKING Over NAS

    Network-attached storage (NAS) is a dedicated, always‑on storage device that connects to your home or office network and lets multiple users and devices store, share, and back up data to a central box you physically own. In effect, it's your own private cloud: instead of renting space from iCloud, Google Drive, OneDrive, or AWS, you buy a NAS once and control the hardware, the capacity, and who can access it. This model is growing quickly; the global NAS market is already tens of billions of dollars in annual sales and is projected to roughly triple over the next decade, driven by exploding photo, video, and backup needs. Just as important as capacity is cost: a mid‑range NAS with several terabytes of usable storage often runs around  500– 600 upfront, a figure that can undercut years of recurring cloud fees for 2–6 TB plans. Many consumers and small businesses are discovering that, at larger data sizes, NAS becomes cheaper over a three‑to‑five‑year horizon. And because the data lives on devices you own—often protected by encryption, redundancy, and local access controls—NAS is increasingly seen as a way to improve privacy, security, and peace of mind compared to relying solely on third‑party clouds.

    ١٠ من الدقائق

  6. ١٥ يناير

    Big Cloud's Default Trap: How Apple, AWS, Google, and Microsoft Capture Your Data

    Big Tech says it's "backup," "sync," and "convenience"—but what happens when your computer quietly starts moving your personal files into the cloud by default? In this episode, David Linthicum breaks down a growing industry pattern: technology providers designing defaults that automatically capture your data, route it into their storage platforms, and make that choice feel inevitable. We start with the Microsoft Windows 11 upgrade experience, where many users discover Desktop, Documents, and Pictures being pushed into OneDrive through folder redirection and persistent prompts—often without a clear, informed decision at setup. From there, we connect the dots to Apple's iCloud, where "it just works" can also mean "it just uploads," and to Google's Drive-first ecosystem that normalizes cloud storage as the primary home for files. Finally, we revisit AWS and the long-running idea that computing is something you rent—not own—turning the PC into a subscription and your data into recurring revenue. This isn't an anti-cloud rant: cloud storage can be genuinely useful. The issue is default capture, confusing consent, lock-in economics, and the shrinking space for truly local-first computing. If your files are your property, why do vendors treat them like a product funnel?

    ١٧ من الدقائق

  7. ١٢ يناير

    Why Serverless Is Just Lock-In with Better Branding

    Serverless is marketed as "no servers, no ops, just code"—but that convenience hides a deeper tradeoff: long-term freedom. In this video, I break down how platforms like AWS Lambda, Google Cloud Functions, and Firebase quietly lock you into a single provider, not through the language you write in. Still, through the glue you adopt: event formats, IAM models, triggers, logging, deployment pipelines, and tightly coupled managed services.   We'll look at where lock-in really lives architecturally, why leaning hard into proprietary auth, queues, databases, and logging can turn your system into a beautiful cage, and how to avoid that without giving up the speed that makes serverless attractive in the first place. You'll learn practical patterns like hexagonal/onion architecture, keeping business logic pure and side-effect-free, pushing cloud-specifics to the edges, and wrapping provider APIs behind your own interfaces for storage, messaging, and identity. I'll also cover strategies for keeping your data portable and planning for the day you might need to change clouds—or run on bare metal.   Serverless isn't the enemy. Blind trust is. Use the cloud's superpowers, but design as if you'll have to leave.

    ٩ من الدقائق

  8. ٥ يناير

    The AI Native Cloud Trap: How AWS, Azure & Google Lock You In

    Cloud providers are quietly rebuilding their platforms around generative AI—and dragging you along for the ride. In this episode of Cloud Computing Insider, Dave breaks down how AWS, Azure, and Google Cloud are shifting from general‑purpose cloud to AI‑native cloud, where everything is optimized (and monetized) around GPUs, proprietary models, and tightly integrated AI services. We'll look at why this is happening now, how it shows up in your architecture and your bill, and why "AI‑ready" often really means "AI‑locked‑in." From exploding inference costs to agentic AI baked into workflows, you'll see how the defaults are being stacked in the providers' favor. But this isn't just a rant—we'll also explore your options. Do you lean into the hyperscalers' AI platforms, or start carving out room for AltClouds like private, sovereign, and MSP‑run clouds that aren't rebuilding everything around AI? How do you keep data, models, and architecture portable enough that you still have real choices in three years? If you care about cloud costs, control, and long‑term flexibility, this is the AI/cloud conversation you actually need to hear.

    ١٤ من الدقائق
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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.

المعلومات

  • صناع العمل
    David Linthicum
  • سنوات النشاط
    ٢٠٢٤ - ٢٠٢٦
  • الحلقات
    ١٠٨
  • التقييم
    ملائم
  • حقوق النشر
    © 2024
  • موقع البرنامج على الويب
    Cloud Computing Insider

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