Despite the proven benefits of DevOps, many organizations find themselves stuck. They’ve adopted continuous integration (CI), continuous delivery (CD), and cloud infrastructure—but the everyday reality is anything but seamless. In practice, tool sprawl, siloed data, and disconnected teams can derail even the best DevOps intentions. This chapter dives into the heart of that fragmentation: how a patchwork of specialized tools can create new silos, how data gets scattered across systems, and how these disconnects erode collaboration. Understanding these challenges is the first step to implementing the standardized, integrated architectures needed to fully leverage AI and move closer to a NoOps future.

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Fragmented Software Development: Why DevOps Isn’t Always Enough

  • Roman Vorel

摘要

Despite the proven benefits of DevOps, many organizations find themselves stuck. They’ve adopted continuous integration (CI), continuous delivery (CD), and cloud infrastructure—but the everyday reality is anything but seamless. In practice, tool sprawl, siloed data, and disconnected teams can derail even the best DevOps intentions. This chapter dives into the heart of that fragmentation: how a patchwork of specialized tools can create new silos, how data gets scattered across systems, and how these disconnects erode collaboration. Understanding these challenges is the first step to implementing the standardized, integrated architectures needed to fully leverage AI and move closer to a NoOps future.