Cloud Computing Insider

David Linthicum returns with a follow-up to his RSA predictions video—this time to see what actually happened at last week's RSA Conference and which calls held up under real-world scrutiny. Before the event, David laid out his expectations for the biggest cybersecurity themes, vendor narratives, and industry shifts likely to dominate the conversation. Now that RSA is over, it's time to review the...

In this video, I explain how I built a successful  YouTube channel  by combining  thought leadership ,  audience trust , and a focused  content strategy . My growth did not start on YouTube alone. It was built on my existing followers and more than  20 years of podcasting , which gave me a strong foundation in  technology media ,  IT analysis , and  digital audience building . I also share why und...

We're on the edge of a real shift: the "cloud" may stop being purely a terrestrial phenomenon and become a layered network that includes orbit. The strongest case isn't that your favorite web app moves to space, but that space systems start acting like their own cloud region—compute, storage, and networking placed near satellites that generate massive amounts of data. If that happens, the first "c...

David Linthicum challenges the feel-good narratives that dominate cloud conversations and lays out five opinions that many teams avoid saying out loud. He argues that cloud repatriation is not a failure but a rational response to economics and performance, and that some workloads belong back on dedicated or private infrastructure. He warns that vendor lock-in isn't an edge case—it's the default ou...

OpenAI helped kick off the AI revolution, but behind the hype the numbers tell a much darker story. In this video, we break down how a company that once looked untouchable is now burning staggering amounts of cash, losing ground to faster, leaner rivals, and scrambling to bolt ads onto its flagship product just to keep the lights on. We'll look at leaks and estimates that suggest OpenAI could lose...

Cloud didn't fail—cloud providers did. AWS, Microsoft, and Google sold "simplicity," then normalized pricing that needs a spreadsheet degree, architectures that punish small mistakes, and service catalogs so bloated that teams spend more time choosing tools than shipping products. This video calls out the five fixable parts of modern cloud that vendors control. First: predictable economics—transpa...

Neoclouds are a new wave of GPU-first cloud providers built specifically for AI training and inference, offering a focused alternative to hyperscalers like AWS, Azure, and Google Cloud. Instead of optimizing for thousands of general-purpose services, neoclouds optimize for what modern AI teams actually bottleneck on: high-availability NVIDIA-class GPUs, fast provisioning, bare‑metal performance, a...

Microsoft Copilot arrived as an AI layer across Windows, Microsoft 365, and cloud consoles, but many users experienced it less as a breakthrough and more as another interface demanding attention. In Word, Outlook, and Teams it could draft and summarize, yet the output often required careful editing for tone, accuracy, and missing context—work people didn't expect to add to already busy days. In Ex...

A surge in fraudulent cloud mining schemes is pulling in unsuspecting investors with promises of guaranteed, sky-high returns—claims that regulators stress are not just too good to be true, but technically impossible. These scams mimic the model of legitimate cloud mining, where users lease real hashing power from authentic data centers, but instead operate like Ponzi schemes: returns are paid wit...

In this video, David Linthicum delivers a blunt critique of how large enterprises mishandled cloud adoption and are now repeating the same mistakes with AI. He explains that many IT leaders treated cloud as a simple outsourcing and cost‑shifting exercise rather than a deep architectural and operating‑model transformation, baking failure in from the start. Billions were spent lifting and shifting t...

RSAC 2026 is shaping up to be the year cybersecurity stops talking about "using AI" and starts obsessing over securing it. In this video, we break down the top conference trends emerging from early session themes and Innovation Sandbox signals: the Securing AI pivot (agent governance, inference-time protection, prompt injection, supply-chain integrity, and data leakage), Identity as the new perime...

Google Cloud Platform (GCP) lags in third place among the top cloud providers, despite impressive financial growth, due to systemic challenges and fierce competition from Amazon Web Services (AWS) and Microsoft Azure. As of Q3 2023, GCP generated USD 8.4 billion in revenue, significantly trailing AWS's USD 23.1 billion and Azure's estimated USD 24 billion, reflecting its smaller market share of ab...

For years, big consulting firms have been selling "cloud and AI strategy" as if it were a product you can just buy off the shelf. In 2026, the jig is up. This video is your no‑nonsense buyer's guide to  how large consulting firms should be engaged for cloud and AI work—what to let them do, what to keep in‑house, and where you're most likely to get burned. We'll walk through the real incentives beh...

Oracle is reportedly tied to roughly  USD 56 billion  in AI data-center financing, and Wall Street is treating it like a stress test, not a victory lap. In this video I break down why "build it and they will come" can turn into "borrow it and you will bleed." Data centers are fixed-cost monsters: power commitments, depreciation, and interest expense don't care if enterprise customers take six quar...

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...

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...

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 th...

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 fee...

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 ca...

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 wit...

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 pipelin...

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 wh...

Cloud Centers of Excellence were supposed to save your cloud strategy—yet in most enterprises, they've become the single biggest bottleneck. In this video, David Linthicum takes a brutally honest look at why so many CCoEs have devolved into "Cloud Centers of No," strangling innovation while pretending to provide governance. We'll dissect how these committees burn time, money, and engineering talen...

In his "Cloud Computing Year in Review," David Linthicum offers a clear, opinionated look at how the cloud landscape has actually changed versus what was just hype. He situates these developments within the broader history of cloud, showing which "new" ideas are actually rediscoveries of long standing architectural principles. He walks through the major trends of the year – from the rise of multi...

This video takes a hard look at the messy truth behind agentic AI in the enterprise — and why it feels like someone is lying to you. On one side, big tech vendors, cloud providers, and global consultancies are screaming that "2025 is the year of the AI agent," boasting about customers "deploying thousands of agents" across customer service, IT operations, and back‑office functions with massive eff...