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Looking at the Evolving Landscape of ITSM Through the Lens of AI (Thu, 18 Dec 2025)
As today’s businesses march forward alongside rapid developments in artificial intelligence (AI), progress has reached nearly every major functional area of technology. One such area on the cusp of transformational change is Information Technology Service Management (ITSM). For the last decades, traditional ITSM systems have relied heavily on manual workflows and unstructured processes. One can argue that while these systems introduced order and consistency, they also created bottlenecks, long resolution times, and reactive operations. With the advent of large language models (LLMs) and agentic AI, this technology paradigm is undergoing a rapid shift. As we speak, AI is reshaping how services are delivered, managed, and optimized. With the power of AI, traditional support channels across service desks are gradually evolving into proactive, self-healing ecosystems where issues are anticipated before they disrupt business, and routine manual tasks resolve themselves automatically. In this article, we explore the key ways AI has become the driving force behind the ITSM revolution.
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Building AI Agents Using Docker cagent and GitHub Models (Thu, 18 Dec 2025)
The landscape of AI development is rapidly evolving, and one of the most exciting developments in 2025 from Docker is the release of Docker cagent. cagent is Docker’s open-source multi-agent runtime that orchestrates AI agents through declarative YAML configuration. Rather than managing Python environments, SDK versions, and orchestration logic, developers define agent behavior in a single configuration file and execute it with cagent run. In this article, we’ll explore how cagent’s integration with GitHub Models delivers true vendor independence, demonstrate building a real-world podcast generation agent that leverages multiple specialized sub-agents, and show you how to package and distribute your AI agents through Docker Hub. By the end, you’ll understand how to break free from vendor lock-in and build AI agent systems that remain flexible, cost-effective, and production-ready throughout their entire lifecycle.
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When DNS Breaks The Internet: Lessons From The Amazon Outage (Thu, 18 Dec 2025)
Have you ever had an “Oh boy” moment when your favorite application does not load and you assume there is a fault with your Internet connection? In October 2025, this occurred on a global scale — but in point of fact, it was not your Internet connection that failed; it was Amazon’s. A slight misconfiguration of DNS on behalf of Amazon Web Services (AWS) caused a nationwide catastrophe on the Internet, taking with it such corporate behemoths as Fortnite, Alexa, and, not forgetting, the mobile ordering facility at McDonald’s.
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Vision Language Action (VLA) Models Powering Robotics of Tomorrow (Thu, 18 Dec 2025)
The robotics industry is undergoing a fundamental transformation. For decades, robots have been confined to narrow, pre-programmed tasks in controlled environments — assembly lines, warehouses, and labs where predictability reigns. Vision-language-action (VLA) models represent a critical breakthrough in this evolution by combining visual perception, language understanding, action generation, and the potential for generalization. VLA models are poised to redefine what machines can do in the physical world. We will go over different VLA models in the industry today that you can leverage in your work. What Are Vision-Language-Action (VLA) Models Vision-language-action (VLA) models combine visual perception and natural language understanding to generate contextually appropriate actions. Traditional computer vision models are designed to recognize objects, whereas VLA models interpret scenes, reason about them, and guide physical actions in real-world environments.
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DevOps Cafe Podcast

DevOps Cafe Ep 79 - Guests: Joseph Jacks and Ben Kehoe (Mon, 13 Aug 2018)
Triggered by Google Next 2018, John and Damon chat with Joseph Jacks (stealth startup) and Ben Kehoe (iRobot) about their public disagreements — and agreements — about Kubernetes and Serverless. 
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DevOps Cafe Ep 78 - Guest: J. Paul Reed (Mon, 23 Jul 2018)
John and Damon chat with J.Paul Reed (Release Engineering Approaches) about the field of Systems Safety and Human Factors that studies why accidents happen and how to minimize the occurrence and impact. Show notes at http://devopscafe.org
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DevOps Cafe Ep. 77 - Damon interviews John (Wed, 20 Jun 2018)
A new season of DevOps Cafe is here. The topic of this episode is "DevSecOps." Damon interviews John about what this term means, why it matters now, and the overall state of security.  Show notes at http://devopscafe.org
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