"Just a couple of words about today's topic. Of course, nothing surprising here, AI is changing DevOps and is changing the way teams are moving beyond reactive monitoring towards predictive automated delivery and operations. What does that mean? How can teams actually implement predictive incident detection, intelligent rollout, and AI-driven remediation? Also, how can we accelerate delivery? Those are all topics that today's panelists hopefully are going to cover."
"My name is Renato Losio. I'm by day a Cloud Architect, mostly working with cloud technology, AWS stuff. I'm an editor here at InfoQ. I'm joined by four different experts coming from different industries, different backgrounds. They will discuss how agents and generative models are being integrated into the pipeline, but not only in platform engineering, feature management, observability. I'd like to allow each one of them to introduce themselves and share their journey in DevOps modernization."
AI is changing DevOps by enabling teams to move beyond reactive monitoring toward predictive automated delivery and operations. Predictive incident detection, intelligent rollout strategies, and AI-driven remediation support faster, more reliable releases. Agents and generative models are being integrated into pipelines to influence platform engineering, feature management, and observability. Practitioners combine cloud architecture and large-scale distributed-systems expertise with AI-enabled coding to address context and delivery problems. The combined approach emphasizes automation, improved incident prediction, higher rollout quality, and operational efficiency to accelerate delivery.
Read at InfoQ
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