CI/CD

Most engineering organizations do not fail at DevOps because they picked the wrong tools. They fail because nobody mapped how capabilities (including AI), metrics, and day-to-day practices are actually supposed to reinforce each other. Teams adopt CI/CD, containers, and dashboards, then plateau, because the tooling was never connected to a coherent strategy for how the organization changes its behavior.

That gap, the space between "we bought the tools" and "we actually changed how we work," is what my latest peer-reviewed research addresses. The paper, "Strategic initiatives in DevOps adoption...

In the realm of software development, AI Ops propels the integration of AI with the DevOps CI/CD pipelines. Evolving software development practices are put in place to improve the levels of effectiveness, quality, and safety throughout the software delivery life cycle. This synergy brings into existence the automation and optimization of processes that traditionally relied on manual or rule-based interfaces, and thereby fewer errors come into play, allowing for expedited software releases.

Context 

In our industry, CI/CD pipelines have come to be a very important concept for modern software...