Cloud Computing Insider

In this video, David Linthicum examines the notable silence from major consulting firms and technology leaders in the aftermath of the recent AWS and Microsoft outages. With so many businesses relying on cloud infrastructure, why are the loudest voices in technology holding their tongues during crises that impact everyone? David explores the underlying business realities: strategic partnerships, financial dependencies, and the self-preserving interests that discourage public commentary from major firms. He explains how silent alliances and backchannel deals shield consulting firms from conflict but ultimately keep clients and the broader tech community in the dark about critical resiliency issues.

David argues there's an ethical obligation for these industry leaders to address the risks—not just behind closed doors with select clients, but transparently and publicly, for the good of all organizations that depend on the cloud. If the biggest names aren't willing to advocate for better solutions in the open, who will? Viewers will come away with a deeper understanding of the intersection between business interests, cloud dependencies, and the moral responsibility to speak up when technology failures threaten entire economies.

For years, the world's biggest consulting firms have promised to usher in an age of AI-powered business transformation. But behind the glossy sales decks and polished prototypes, a harsh reality has emerged: most consulting-led AI projects are missing the mark. Executives are routinely dazzled with demos and sophisticated jargon—but left with little to show for massive investments. The core issue? Large consultancies routinely push technology-first solutions without deeply engaging with a client's actual business challenges. Cookie-cutter approaches, misaligned incentives, and a focus on upselling the latest AI tools lead to projects that impress on the surface yet fail to deliver lasting impact. Instead of enabling true change, these projects often stall in pilot mode or solve problems that weren't priorities in the first place. The real fix is simple but radical: consulting needs to ditch the hype, listen to business leaders, and deliver solutions rooted in real business value—not just trending tech. In this video, we pull back the curtain on how big consulting is sabotaging enterprise AI and what organizations must demand to ensure their AI investments pay off.

On October 29, 2025, one of the most disruptive tech failures in recent memory paralyzed vast swaths of the internet as Microsoft's cloud empire crashed in spectacular fashion. The outage, triggered by a single misstep in Azure Front Door's configuration, instantly severed access to Microsoft 365, Azure, Xbox Live, and countless apps for millions worldwide. Fortune 500 giants like Starbucks, Costco, Kroger, and Alaska Airlines saw their digital operations grind to a halt, leaving businesses scrambling and consumers locked out. For eight tense hours, vital communication, collaboration, and e-commerce systems were disabled, exposing just how fragile and over-reliant our world has become on centralized cloud platforms.

As Microsoft engineers raced to reverse the error and stop the bleeding, the incident signaled an urgent wake-up call. The outage raised tough questions about the risks of single-vendor dependencies, the complexity of global cloud control planes, and the real cost of cloud convenience. As services slowly recovered, the lesson echoed across boardrooms and server rooms alike: the world's IT backbone is more brittle—and more interconnected—than anyone wants to believe. Organizations must rethink their approach or risk repeating this digital catastrophe.

For years, large consulting firms have been at the forefront of enterprise cloud transformations—yet, as David Linthicum reveals, this has often led to more setbacks than successes. Drawing from his experience as a former Chief Cloud Strategy Officer at Deloitte, owner of two consulting firms, and cloud project auditor, David exposes the hidden dangers lurking in big consulting engagements. Too often, embedded consultancies prioritize partnerships and kickbacks with major cloud providers over your actual business outcomes, locking organizations into opaque contracts, secretive processes, and proprietary "accelerators" designed to entrench their control.

David shares a blueprint for reclaiming your cloud strategy: demanding transparency about vendor partnerships, tying consultant payments directly to tangible business value, insisting on knowledge transfer, and ending procurements that increase dependency on outside firms. He stresses the urgent need to review existing contracts, halt new engagements that undermine your leverage, and set metrics that ensure your cloud investment delivers real results. This video empowers leaders to take back ownership, ensure true business alignment, and build in-house cloud competency. If you're tired of seeing more harm than good from large consulting engagements, this is your call to action.

In this video, cloud expert David Linthicum analyzes the sweeping impact and critical lessons from the October 2025 AWS outage that shook global digital infrastructure. From social media giants and streaming services to financial platforms and government websites, the disruption reverberated across nearly every sector, revealing just how dependent modern enterprises are on a single cloud provider. David explains how thousands of companies were caught unprepared, highlighting the difference between theoretical business continuity plans and true operational resilience.

He challenges organizations to urgently audit their reliance on AWS, embracing multi-cloud and hybrid strategies, and real-world disaster recovery tests. Consulting firms, he argues, must move beyond cozy relationships with hyperscalers and have the courage to candidly advise clients on cloud risk—no matter how uncomfortable those conversations may be.

The video also explores the need for stronger SLAs, vendor transparency, and greater interoperability to reduce lock-in and mitigate future incidents. For executives and boards, David emphasizes that cloud risk management must be a top agenda item, not just an IT concern. This analysis is essential viewing for technology leaders, consultants, and anyone seeking practical guidance on building resilient, future-ready cloud architectures after one of the industry's most serious outages.

The alleged data breach involving Salesforce-related integrations has raised significant concerns about the overall security of cloud and SaaS ecosystems. Hackers, reportedly the LAPSUS$ group, claim to have obtained sensitive data from 39 major companies, including McDonald's, Disney, and Walgreens. The attackers allegedly exploited vulnerabilities in third-party integrations, such as Salesloft Drift, which operate tightly within Salesforce environments. While Salesforce has denied that its core platform infrastructure was compromised, this event shines a glaring spotlight on the inherent vulnerabilities of interconnected cloud systems.

This breach amplifies a growing unease in the industry. As businesses migrate more critical operations to SaaS providers, the risks of centralized, multitenant systems have increased significantly. A single breach could reverberate across dozens of organizations, putting customer trust, sensitive data, and even business continuity on the line. The incident is not just about stolen records—it's about the fragility of cloud infrastructure in the face of increasingly sophisticated cyber threats. In short, this breach should serve as a harsh wake-up call for cloud providers to step up security and for enterprises to thoroughly evaluate and monitor their reliance on SaaS integrations. The stakes have never been higher, and complacency is no longer an option.

Ninety-five percent of enterprise generative AI projects fail, a staggering figure revealed by an MIT study. This failure isn't rooted in insufficient infrastructure, as some vendors claim, but rather in human expertise and preparation. Many enterprises lack the talent required to build, train, and refine foundational AI models. Instead of trying to reinvent the wheel, companies would achieve greater success by leveraging mature, licensed AI models developed at scale by industry-leading providers.

The issue of preparation is also critical. Running large-scale AI successfully today would have required enterprises to start planning up to seven years ago, with investments in power, cooling, networking, and infrastructure. Most organizations didn't take those steps, leaving them unprepared for AI at scale. The solution, however, lies in the cloud. Cloud platforms allow enterprises to bypass infrastructure latency and start AI projects immediately using the data they already have. Public cloud providers like AWS, Azure, and GCP enable companies to connect, unify, and reason across on-premises and cloud-based data without years of preparation or costly upgrades.

The future of AI belongs to organizations that act quickly, leveraging available tools and their existing data to drive competitive advantage. Success isn't a distant goal; it's achievable now with cloud-enabled innovation.

This video uncovers the often-overlooked financial challenges of hybrid cloud adoption. While hybrid cloud solutions promise agility and cost savings, many organizations fall victim to hidden expenses and underestimated complexities. The initial allure of hybrid cloud can mask long-term pitfalls, including unexpected costs for integrating multiple environments and rushed decisions that inflate TCO (Total Cost of Ownership).

Key issues exposed include data egress and ingress charges, such as the significant fees for data transfers between on-prem and cloud, and hidden costs for multi-cloud replication and synchronization. The video also highlights the challenges of navigating complex licensing agreements and addressing unbudgeted expenses caused by "shadow IT." Compliance risks and regulatory costs due to distributed data management emerge as critical concerns.

Operational overheads like management complexity, demand for specialized skills, and time-consuming cross-environment troubleshooting further strain resources. To mitigate these challenges, the video advocates for a strategic recalibration, emphasizing the importance of adopting robust cost-management tools, building a detailed TCO model, and optimizing workload placement based on true costs.

This insightful content serves as a roadmap for organizations to avoid financial surprises and maximize the value of their hybrid cloud investments.

Oracle's transformation from a traditional software powerhouse to a credible public cloud provider is a standout story in enterprise IT. Initially dismissed as a late entrant when it launched Oracle Cloud Infrastructure (OCI) in 2016, Oracle has become a significant player by focusing on differentiation rather than imitation. Instead of trying to match AWS or Azure feature for feature, Oracle built a modular, cost-efficient cloud architecture designed for high-performance, AI-driven, and hybrid workloads. Its emphasis on price-performance, flexibility, and interoperability appeals to enterprises seeking alternatives to hyperscaler lock-in. Oracle's proactive approach to AI infrastructure and its willingness to support hybrid and multi-cloud environments have fueled its growing reputation as part of the "alt cloud" movement. This groundswell favors cloud providers that offer customization, cost control, and integration with legacy systems. As a result, Oracle's rise is not just about increasing its own market share, but about fostering more competition and innovation throughout the cloud ecosystem. Its success demonstrates that the market rewards focused differentiation and that even established giants can pivot successfully by addressing specific, evolving enterprise needs.

Join cloud thought leader David Linthicum as he reacts to the AWS re:Invent 2024 Keynote! In this video, David gives his unfiltered thoughts and expert analysis on the biggest announcements from this year's event. Find out what new AWS innovations excite him the most, where he sees the cloud industry heading next, and which features could change the game for enterprises and developers alike.

Whether you missed the keynote or want an insider's perspective on what it all means, this reaction video breaks down the highlights with practical insights and real-world context. Don't forget to like, subscribe, and share your own reactions in the comments!