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Autonomous Patching for Cloud-Native Workloads

Autonomous Patching for Cloud-Native Workloads

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The cloud-native stack didn’t make security go away—it just spread it across more layers, more repos, more images, and more ...
KubeCon, cloud native, ai, cloud-native,

From Cloud First to Cloud Fit: Rethinking Where Workloads Belong

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Induprakas “Indu” Keri explores why organizations are increasingly shifting from a cloud-first mindset to a cloud-fit strategy as containerized applications ...

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Context Engineering is the Key to Unlocking AI Agents in DevOps 

Explore how context engineering is essential for transforming AI agents from experimental prototypes to reliable production tools in DevOps. Understand its impact on automation workflows, accuracy, and scalability. [...]

Why the Next Wave of Infrastructure Automation Requires a Different Kind of Intelligence

Every decade or so, something fundamental shifts in how we think about infrastructure. Not an upgrade, a rethinking. Virtualization changed what infrastructure was. The cloud changed where it lived. Infrastructure as Code changed how it was defined. Each of those shifts felt incremental from the inside and transformative in hindsight. We’re at one of those […] [...]

Microsoft Executives Warn AI Could Limit the Developer Talent Pipeline

Generative AI is transforming software development at remarkable speed. But in a new paper written by two Microsoft executives, Azure CTO Mark Russinovich and Scott Hanselman, VP of the developer community, argue that the AI technology also risks eroding the profession’s training pipeline. In their paper, Redefining the Software Engineering Profession for AI, published in […] [...]