The dream of instant outsourcing has become a struggle for enterprises, and these challenges will define the cloud’s next decade.
The growing impact of expensive large language model outages demands a return to architectural basics in order to maintain resilience.
Why the rush to replace developers with LLMs is leaving companies with brittle systems, runaway cloud bills, and a painful rebuild.
Making neoclouds a first-class citizen of your multicloud community helps build on their strengths without adding more complexity.
Large orgs are multicloud by default but rarely as a coherent operating model. The gap isn’t about choosing clouds; it’s about operationalizing them as one business capability.
Cloud keeps changing, but the need for disciplined architecture does not. Architects who can align platforms, people, and economics remain scarce.
Coinerella’s European cloud rebuild shows why alternative clouds cost less and demand more, but they can be worth it.
Pushing Copilot on customers raises antitrust concerns as the end of Windows 10 forces hardware purchases and customer frustrations mount.
Is the data center building boom driven by competitive signaling or real demand? If adoption falls short, today’s boom will bring tomorrow’s bust.
Monthly cloud outages, like the recent Azure one, continue to disrupt enterprises worldwide. The culprits include hiring challenges, neglected resilience, and increasing complexity.
The road ahead for enterprise AI is not hopeless, but will require more discipline and patience than the hype led us to believe.
Cloud providers’ hoarding of GPUs, memory, and other hardware to support AI workloads is causing scarcity, pricing out consumers and businesses alike.
The era of true ownership is ending as cloud services and AI are transforming the PC. What does this mean for user control?
The addition of durable execution to the popular serverless compute service is a big step forward, but beware the lock-in trap.
Paid training is best for certain applications, but free courses allow the whole company to upskill fast with a common knowledge base.
AI economics are exposing a gap between what people think the cloud costs and what the cloud actually costs.
Autonomous software is forcing cloud teams to confront weaknesses in networking, identity, cost, and architecture.
Is cloud AI growth turning good intentions into a carbon accounting crisis? For many organizations, greenops goes out the window the moment AI becomes strategic.
Cloud mandates from enterprise software vendors are leaving on-premises options behind and changing enterprise decisions about strategy, risk, and control.
The rise of artificial intelligence makes cloud and on-premises integration the best path forward for scalable, effective deployments.