Cloud Computing Insider

A significant shift is occurring in how organizations approach AI workloads, as many CIOs are reevaluating their reliance on public cloud services. With rising costs and escalating concerns about data privacy, companies are increasingly favoring private cloud and on-premises solutions for their AI strategies. A recent survey indicates that 67% of enterprise leaders plan to move some AI data to non-cloud environments within the next year, reflecting a growing need for cost predictability and improved security.

The video highlights the trend toward private cloud spending, which is outpacing public cloud investments. Organizations running consistent AI workloads can achieve substantial cost savings by investing in dedicated GPU resources rather than relying on rental models in public clouds. This shift signifies a broader strategy that prioritizes ownership and control over sensitive data, as many organizations navigate regulatory compliance challenges.

Public cloud services have revolutionized how businesses operate, offering unparalleled scalability, convenience, and innovation. However, an often-overlooked truth is that even the most reliable public cloud providers can—and do—fail. From unexpected outages to major disruptions, relying too heavily on third-party cloud platforms introduces significant risks that too many businesses fail to fully understand or prepare for. When these providers experience downtime, organizations face ripple effects ranging from financial losses and operational delays to regulatory exposure and reputational damage.

Notable incidents, such as the CrowdStrike outage in 2024 or disruptions at leading cloud providers, have highlighted the vulnerabilities within this dependency. Businesses impacted by such incidents have experienced billions in losses due to delayed operations and compromised services. The lesson is clear: no cloud provider is immune to interruptions. Organizations must adopt proactive risk management strategies, such as diversifying providers, implementing comprehensive third-party risk management (TPRM) practices, and preparing failover solutions to minimize damage.

Risk management in the cloud is not optional—it's essential. By acknowledging the potential for failure and preparing accordingly, businesses can protect themselves from the costly consequences of cloud disruptions while still leveraging the advantages that public cloud services provide. The key is resilience and preparation, not blind trust.

The Broadcom Private Cloud Outlook 2025 report uncovers a pivotal shift in enterprise cloud strategies, revealing a "cloud reset" as organizations recalibrate their workloads toward hybrid and private cloud solutions. Based on insights from 1,800 IT leaders worldwide, the report highlights growing trends in workload repatriation, security concerns, and the rise of private cloud as a cornerstone for IT modernization. With a focus on balancing performance, control, and cost efficiency, this report provides an insight into how enterprises are reconfiguring their cloud strategies to meet evolving demands in an era of generative AI and heightened compliance requirements.

The world of cloud computing is evolving faster than ever, and artificial intelligence is at the heart of this rapid transformation. Businesses of all sizes are looking for new ways to automate workflows, gain insights from massive amounts of data, and create smarter, more efficient applications—and AI in the cloud makes all of this possible. As a result, there's a surge in demand for professionals who not only understand cloud platforms but also know how to unlock the power of AI.

Today, some of the most exciting and high-impact jobs blend these two areas of expertise. Companies need specialists who can design intelligent solutions, automate machine learning processes, and keep cloud-based AI systems secure and reliable. Whether you're just starting your tech career or looking to transition into a cutting-edge field, focusing on AI-powered cloud roles can open doors to rewarding opportunities with top employers.

If you have a passion for innovation and an interest in working at the intersection of AI and cloud technology, now's the time to explore what's possible. Here are five hot AI-powered cloud jobs that you can get today—roles that are in high demand and shaping the future of tech.

Staying ahead in the cloud computing world means keeping up with fast-paced change, new technology, and industry insights from those shaping the future. But with so many sources out there, where do you turn for information you can trust—without getting overwhelmed or sifting through vendor hype? I'm David Linthicum, and in this video, I'll share the independent podcasts, YouTube channels, and trusted online magazines I rely on to cut through the noise and stay truly informed.

From deep-dive interviews and real-world analysis to step-by-step tutorials, these sources help me track emerging trends, understand cloud adoption challenges, and see where innovation is headed—whether I'm at my desk, on the go, or just looking for fresh perspectives. If you're serious about maximizing your knowledge and staying relevant in the cloud, these resources are a great place to start. Let's dive in and build your cloud news toolkit together!

Cloud computing has long been heralded as the default path for enterprise IT, with public cloud vendors promising limitless scalability and transformational efficiencies. However, recent data reveals a significant shift in this narrative: cloud spending is leveling off, and in some sectors, it may even be declining. Organizations are becoming more strategic in their technology investments, moving away from a "cloud-first" mandate and instead toward a value-driven mix of public cloud, private infrastructure, and alternative providers.

Several factors drive this change, most notably the rising total cost of ownership for many workloads in public clouds, paired with the decreasing price of enterprise hardware that makes private cloud and on-premises solutions far more attractive. Additionally, new options, such as special-purpose clouds, sovereign clouds, colocation facilities, and managed service providers, are emerging as compelling alternatives. This evolving landscape enables enterprises better to control costs, performance, and regulatory compliance. As global businesses seek to optimize their IT portfolios, the myth of inevitable all-in public cloud adoption is being replaced by a more nuanced, pragmatic approach—one focused on flexibility, business requirements, and maximizing long-term value.

Cloud migration is a critical step for organizations looking to modernize infrastructure, improve scalability, and drive innovation. In this video, we provide a comprehensive yet accessible overview of the essential aspects of migrating workloads and data to the cloud. You'll learn about the most common migration pitfalls that can stall your project, from underestimating legacy system complexity to hidden costs and downtime issues. We dive into various migration strategies—including rehosting, refactoring, and replatforming—and discuss how to choose the best path based on your business objectives and technical requirements.

Security and compliance are front-and-center considerations, and we address how to embed robust practices from the outset to protect sensitive data and meet regulatory standards. The video also covers practical guidance on minimizing business disruption during migration, managing costs throughout the process, and supporting your team through comprehensive training and change management initiatives. Post-migration, we explore strategies for continuous optimization to ensure long-term success, including leveraging cloud-native features for improved performance and cost savings. Finally, we share lessons learned from real-world migrations—both successful and challenging—to help you plan smarter and avoid common mistakes. Whether you're planning your first migration or optimizing ongoing cloud initiatives, this guide will equip you with the knowledge you need.

When it comes to cloud computing, most of the attention is focused on migration—moving workloads and data into the cloud, chasing promises of scalability, agility, and cost savings. But what we don't hear about nearly as often are the projects going in the other direction: enterprises quietly moving data and workloads back out of the cloud, a process known as cloud repatriation. Here's the reality most people rarely discuss: a staggering 98 percent of cloud repatriation projects are handled in secret. In many cases, these initiatives aren't just kept quiet externally—they're often shielded from employees and, sometimes, even from leadership outside of the core IT or operations teams.

Why such secrecy? For many organizations, admitting to repatriating workloads is seen as an acknowledgment that the original cloud migration was a misstep. There's a fear of reputational risk, internal embarrassment, and scrutiny from stakeholders. Furthermore, unless there's a strong marketing or financial incentive—like a technology partner offering deep discounts for going public—there's simply no business advantage to sharing these details. In this video, I'll break down why most enterprises keep their cloud repatriations in the shadows, and explore what this means for the future of cloud strategy.

In 2025, the responsibilities and expectations for Cloud Architects have dramatically evolved, moving far beyond initial infrastructure deployment to embrace a holistic, business-centric mandate. Drawing on decades of industry analysis and hands-on experience, this paper explores this transformation through the lens of practical outcomes and strategic enablement. Today's Cloud Architects must orchestrate complex, multi-cloud ecosystems, drive cost optimization, and embed governance and security by design, all while aligning cloud strategies with dynamic business objectives.

No longer just technical implementers, Cloud Architects in 2025 serve as trusted advisors, partnering with leadership to identify opportunities for AI integration, automation, and accelerated innovation. The research presented illustrates how this role now demands deep understanding of emerging technologies, financial modeling, organizational change management, and sustainability considerations. Incorporating real-world guidance and lessons learned, this work outlines a path forward for Cloud Architects to remain relevant and impactful, reinforcing the imperative for a blend of hard technical skills and business insight to drive meaningful digital transformation.

Cloud computing has become the backbone of modern software development, with promises of increased scalability, resilience, and agility. Organizations are rapidly migrating workloads and re-architecting systems using microservices, containers, and managed services, convinced these steps will eliminate the rigidity and risks of traditional monolithic applications. However, beneath the surface, many cloud architectures fall into subtle traps, unwittingly recreating the same monolithic patterns they sought to escape—resulting in architectures that are "monoliths in disguise."