Cloud Computing Insider

This video breaks down how smart enterprises negotiate with cloud providers instead of simply accepting whatever pricing, terms, and service models are put in front of them. The focus is on how to approach AWS, Microsoft Azure, Google Cloud, and other providers with leverage, discipline, and a clear strategy. It explains why most companies lose money before the first workload even scales: they ent...

Serverless computing was supposed to simplify cloud architecture, cut operational drag, and lower costs. Instead, what we got from  AWS ,  Microsoft Azure , and  Google Cloud  is a far more complicated reality: more abstraction, more lock-in, more hidden costs, and more ways to build systems that look elegant in a slide deck but become painful in production. In this episode of  Cloud Computing Ins...

The consulting industry sold itself as the indispensable guide to enterprise transformation, but the results are getting harder to defend. While AI exploded, budgets shifted, and companies faced real pressure to modernize, many of the biggest firms still stumbled into the moment with bloated delivery models, weak differentiation, and armies of expensive talent built for a market that no longer exi...

This video breaks down the real cost difference between building a  simple business inventory system  with  traditional software tools  versus adding  AI features on top. It shows how a standard inventory app usually covers core functions like stock tracking, reorder alerts, supplier records, reporting, and cloud hosting at a relatively predictable cost. Then it contrasts that with an AI-enabled v...

The video argues that hyperscalers no longer deserve unquestioned credibility on green energy because the AI investment boom has exposed what their real priority has always been: growth. For years, the biggest cloud companies positioned themselves as champions of renewable power, carbon reduction, and sustainability leadership. But once AI created a massive new revenue opportunity, the narrative s...

AI infrastructure is changing fast, and NeoClouds are becoming one of the most important categories in enterprise technology. In this video, I break down what a NeoCloud actually is, how it differs from traditional public cloud providers like AWS, Azure, and Google Cloud, and why so many enterprises are paying attention right now. The core idea is simple: NeoClouds are built specifically for AI wo...

The landscape of cloud computing is witnessing a seismic shift as major cloud providers, once fierce competitors, are now forging unexpected alliances to meet the demands of today's connected digital world. Oracle's recent partnership with Amazon Web Services (AWS) exemplifies this trend, delivering private managed connections that allow customers to move applications and data seamlessly between c...

Cloud computing is entering a new chapter, and the biggest shift is happening around AI platforms. For years, enterprises compared AWS, Microsoft, and Google based on compute, storage, databases, and global infrastructure. Now the conversation is changing. The real question is which cloud provider gives businesses the best foundation for building, deploying, governing, and scaling AI applications...

  For years, "cloud-first" was sold as the default path to modern business: faster deployment, more flexibility, less hardware, less hassle. And in some cases, that promise was real. But for a growing number of companies, cloud-first became a financial trap disguised as innovation. What starts as agility can quietly become dependency. What starts as convenience can become a recurring bill that nev...

Enterprises are struggling with AI for reasons that have less to do with the models and more to do with the way large companies operate. Many organizations rushed into AI because of hype, not because they had a clearly defined business problem worth solving. They bought tools before fixing messy data, broken workflows, disconnected systems, and weak governance. That means AI often gets dropped on...

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 client...

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 ou...

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 nego...

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 poten...

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 Capabilit...

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 authenticati...

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, scal...

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...

Agentic AI is one of the most talked-about trends in  enterprise AI ,  AI architecture , and  digital transformation , but how much of it is real and how much is hype? In this video,  David Linthicum  explains what  agentic AI  actually is, how  AI agents work, and why so many companies are overestimating the business value of autonomous AI systems. You'll learn where agentic AI can deliver real r...

  This video is a blunt critique of why I will never return to a big consulting firm. After years inside the machine, I came to see how far the industry has drifted from real client service and honest advisory work. What gets marketed as strategy and transformation is often a sales engine driven by partner incentives, internal politics, and quarterly revenue pressure. The result is predictable: cl...

In this video, we take a hard look at the growing tension between independent cloud analysts and the hyperscaler machine. Why would one of the industry's most outspoken voices, David Linthicum, seem absent from the biggest cloud conferences and marquee vendor stages? Is it a coincidence, a branding mismatch, or something deeper about how Big Cloud handles criticism? David Linthicum has built his r...

The cloud infrastructure market is buzzing with new developments. According to fresh data from Synergy Research Group, Amazon Web Services (AWS) is still the biggest player, but its dominance is slipping as rivals surge ahead. AWS's hold on the industry has softened to just under 30%, down from above 32% in 2021, as Microsoft and Google continue to capture more ground—now holding 20% and 13% marke...

  In this compelling exposé, we pull back the curtain on the grand narratives spun by today's AI leaders—and reveal the dramatic gap between their promises and reality. With names like Sam Altman (OpenAI), Elon Musk (Tesla, SpaceX), and Dario Amodei (Anthropic) at the forefront, bold claims about Artificial General Intelligence (AGI), world-changing productivity, and society-shifting job automatio...

Everyone's talking about AGI—the idea that we're on the verge of creating an AI that can do anything a human can do, only faster and better. Tech billionaires are hyping it, headlines are breathless, and the race between the world's biggest companies seems unstoppable. But is the reality actually matching the hype? Not quite. Beneath the impressive demos and viral moments, today's AI still has som...

Grab, Southeast Asia's leading super-app for ridesharing and food delivery, recently completed a transformative overhaul of its app-building infrastructure by moving more than 200 Mac Minis from the cloud into a self-managed datacenter. Previously relying on a US cloud provider for its macOS Continuous Integration/Continuous Delivery (CI/CD) needs, Grab faced major cost pressures—macOS build minut...