AI has the potential to greatly improve the efficiency, accuracy and effectiveness of DevOps continuous integration (CI) practices ...

AI can support monitoring and observability by analyzing logs and metrics to predict potential system failures or performance degradation ...

In my recent article Revolutionizing the Nine Pillars of DevOps with AI-Engineered Tools, I explained that the continuous delivery pillar is an approach where code changes are automatically built, tested and prepared ...

In my recent article Revolutionizing the Nine Pillars of DevOps with AI-Engineered Tools, I explained that design-for-DevOps practices, a DevOps pillar, involves designing software in a way that supports the DevOps model ...

In my recent article Revolutionizing the Nine Pillars of DevOps with AI-Engineered Tools, I explained that AI-engineered tools can help with automating repetitive tasks, improving decision-making with predictive insights and facilitating proactive ...

In my book “Engineering DevOps,” published a few years ago, I classified DevOps into “nine pillars of DevOps best practices” - a comprehensive framework that covered the full scope of DevOps practices ...

When I think about the challenges of DevOps transformations, I love the viewpoint expressed by Ryan Harmon, strategic accounts manager at Trace3: “DevOps is a complex maze that has many leaders frustrated ...