David Linthicum
127 episodes listed below
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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.
Based on 4 episodes we listened to · September 2026
David Linthicum tests cloud and AI promises against cost, complexity, vendor incentives, and the practical demands of enterprise deployment.
Cloud Computing Insider treats cloud and AI decisions as architecture and cost questions after the sales pitch has worn off. David Linthicum uses direct solo commentary to connect enterprises returning to dedicated servers, security vendors maintaining incompatible silos, and AI…
The cloud bill arrives, and David Linthicum would like a word about your unoptimized applications.
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Short reviews from the PlayNext desk, based on the episodes we processed.
A measured look at how vendor-run cloud events can turn independent criticism into lost access.
Dave frames cloud conference access as a quiet test of insider status: who gets invited, who gets a pass approved, and who still receives the perks once tied to analyst standing.
A grounded challenge to AI leadership claims, centered on AGI's shifting meaning.
Cloud Computing Insider takes a clear, practical look at the distance between AI leadership rhetoric and the tools businesses can actually use today.
A practical challenge to AGI hype, grounded in hallucinations, long-task unreliability, and the gap between pattern matching and understanding.
The episode frames AGI less as an imminent breakthrough than as a story being sold while current large language models show their limits. Dave argues that AI companies, including OpenAI, Anthropic, and the hyperscalers, have reason to keep attention on AGI because today's LLM…
A candid RSA scorecard on security silos, identity, and the complexity that can weaken protection.
Dave Linthicum revisits his RSA predictions with a measured read on platform consolidation. His score is mixed: vendors are still building their own security silos, while enterprises need tools that work together with less friction.
Long-form interviews on AI coding agents, infrastructure, and security, plus a recurring SED News roundup.
Founders and engineers on AI coding agents like Claude Code, and supply chain security.
Stack Overflow's Ryan Donovan interviews founders and engineers on AI agents, protocols, and dev tools.
Michael Kennedy interviews Python maintainers on packaging, security, web tools, and AI.
Michael Kennedy and Brian Okken run down the week's Python tooling, typing, and packaging news.
Matt Stratton interviews DevOps practitioners on security, platform engineering, and trusting AI-written code.
The host Dave answers common questions about cloud computing, starting with its origins and evolution from 1960s concepts to modern software-as-a-service platforms.
This episode analyzes Oracle's risky $56 billion AI data center expansion, exploring how massive debt and stock declines could threaten the company's stability.
This episode examines how businesses may be overspending on GPU resources in cloud environments for AI workloads when cheaper CPU alternatives could suffice.
This episode examines who bears financial responsibility for losses during the October 2025 AWS outage, focusing on contract terms and compensation clauses.
This episode analyzes the October 2025 AWS outage, discussing its causes, widespread impact on businesses and services, and the significant financial losses incurred.
This episode discusses five unpopular but true opinions about cloud computing, starting with the reality that cloud repatriation is accelerating as businesses reconsider costs and value.
This episode critiques major cloud providers like AWS, Microsoft, and Google for normalizing complexity and opaque pricing, proposing five fundamental fixes to improve transparency and trust.
This episode analyzes why Microsoft's stock fell despite beating earnings, focusing on investor concerns about Azure's growth and AI infrastructure spending in the cloud computing market.
This episode reviews the top cloud computing news of 2025, highlighting the dominance of AI infrastructure investments by hyperscalers and the emergence of Neo cloud providers challenging their monopoly on GPU access.
This episode exposes fraudulent cloud mining schemes that promise impossible cryptocurrency returns, targeting businesses and individuals with fake cloud services.
This episode discusses how enterprises can regain control of their cloud and AI projects by understanding the human factors and quality variations in consulting firms.
This episode discusses why 95% of AI projects in the cloud fail, examining the roles of both cloud providers and enterprises in these failures.
This episode reveals the often-overlooked hidden costs and financial pitfalls of hybrid cloud deployments for enterprises.
This episode explores the emerging trend of deploying cloud data centers in space, examining real-world examples, historical context, and the pros and cons of this technological shift.
This episode discusses how data egress fees from public cloud providers can trap enterprises during migrations, with insights from host David Linthicum on cost implications and regulatory responses.
This episode explores Oracle's surprising rise as a legitimate contender in the public cloud market, analyzing its strategic evolution and impact against dominant hyperscale providers.
This episode critiques the proliferation of cookie-cutter agentic AI frameworks from consulting firms, arguing they often lead to project failures by ignoring situational architecture, data realities, and governance.
A cloud computing expert shares seven strategic career moves he wishes he had known when starting his cloud journey, beginning with mastering business-driven cloud architectures.
This episode analyzes OpenAI's declining position in the AI market, questioning its business sustainability and offering insights for enterprise AI strategies.
This episode discusses Michigan's proposed legislation to restrict VPN usage as part of age verification efforts, exploring its implications for cloud computing and online privacy.
This episode discusses how network-attached storage (NAS) is becoming a cost-effective alternative to cloud storage services for households and small businesses, based on the host's personal experience with managing multiple cloud subscriptions.
This episode explains why major cloud providers offer free tiers, what they include, and how developers, students, and startups can use them to gain hands-on cloud computing experience.
This episode discusses how specialized GPU-centric NeoClouds are challenging dominant hyperscalers by offering lower costs and optimized infrastructure for AI and machine learning workloads.
This episode discusses a recent Cloudflare outage, its impact on various services and productivity, and compares it to other infrastructure failures.
This episode critiques serverless cloud computing, arguing that its convenience leads to hidden vendor lock-in through architectural dependencies on proprietary services and ecosystems.
This episode analyzes Microsoft's Co-Pilot AI as a significant failure due to poor adoption, added costs, and user pushback across its cloud and productivity platforms.
This episode explores how major cloud providers like AWS, Azure, and Google are shifting to AI-native services, potentially locking in enterprises through proprietary models and platforms.
This episode argues that Cloud Computing Centers of Excellence (CCOEs), once created to centralize cloud expertise in enterprises, have become bottlenecks that slow down modern cloud migration and modernization projects.
This episode warns that executives who mishandled cloud adoption by treating it as an outsourced data center without proper strategy are now repeating the same errors with AI, risking billions in misguided investments.
This episode explores why major tech consulting firms remain silent about cloud outages from providers like AWS and Microsoft, examining their financial alliances and the implications for enterprise trust.
This episode analyzes why 95% of enterprise AI projects fail to deliver business value despite being led by major consulting firms, exploring the disconnect between hype and measurable ROI.
This episode discusses recent major outages at Microsoft and AWS cloud services, analyzing their widespread impact on businesses and users while questioning the reliability of centralized public cloud infrastructure.
This episode features an interview with Sebastian Montragon, CEO of ParticuloTech, discussing strategic cloud repatriation and AI implementation for business optimization.
This episode analyzes why Google Cloud Platform trails behind AWS and Microsoft Azure, offering strategic recommendations to improve its market position.
This episode discusses a major data breach affecting 39 companies using Salesforce, where hackers exploited third-party integration vulnerabilities to steal and ransom sensitive data.
This episode discusses the alarming 61% increase in cloud security incidents in 2025, attributing it primarily to persistent misconfigurations and human errors that organizations often conceal.
Host David Linthicum explores the risks of cloud data privacy, warning that unencrypted data can be accessed by apps, providers, and law enforcement.
This episode discusses how public cloud providers like Microsoft are enforcing government laws, leading to data access restrictions for companies such as Neera Energy in India, which raises trust and security concerns for enterprises globally.
This episode explores the conflicting narratives between tech vendors promoting widespread agentic AI adoption and independent analysts highlighting its limited real-world implementation in enterprises.
This episode analyzes AWS's declining market share in the enterprise cloud sector, comparing it to the growth of Microsoft and Google Cloud.
Dave Linthicum discusses why he no longer receives invitations to major cloud computing conferences and reflects on changes in the industry over 15 years.
Analysis of AWS losing market momentum to Microsoft, Google, and NeoCloud providers in the cloud computing space.
David Linthicum discusses the growing lack of trust in AI and cloud leaders based on conversations at RSA and a LinkedIn poll.
David Linthicum debunks myths about AGI being promoted by AI companies and hyperscalers.
Analysis of Grab's cloud repatriation from Mac minis to physical machines, discussing cost savings and lessons for enterprises.
RSA vendors had "a solid C plus" on agentic AI because they "didn't understand" how it works.
Cloud Computing Insider host David Lindegum examines Liquid Web research reporting that 42% of IT professionals moved workloads from public cloud back to dedicated servers within one year.
David Linthicum discusses where to run agentic AI applications, comparing cloud, microclouds, private cloud, and other options.
David Linthicum discusses the concept of AI private clouds and reviews products in that space for enterprise use.
David Linthicum reflects on his transition from cloud computing thought leader to influencer and what that means for the industry.
Dave Linthicum discusses affordable cloud storage providers for enterprises looking to reduce costs.
David Linthicum discusses the trend of enterprises moving workloads and data off public cloud providers back to on-premises or other environments.