У нас вы можете посмотреть бесплатно DevOps Gets Smarter With AI Triage Agents или скачать в максимальном доступном качестве, видео которое было загружено на ютуб. Для загрузки выберите вариант из формы ниже:
Если кнопки скачивания не
загрузились
НАЖМИТЕ ЗДЕСЬ или обновите страницу
Если возникают проблемы со скачиванием видео, пожалуйста напишите в поддержку по адресу внизу
страницы.
Спасибо за использование сервиса ClipSaver.ru
Hey everyone, Trevor Williams here. We demonstrate how these ai agents can be used for autonomous assessment of failures in CI CD pipelines, analyzing and resolving issues through advanced automation. This is crucial for modern DevOps and artificial intelligence workflows. Building a triage agent is a great reminder that modern development is no longer just about writing code. It is about designing smart workflows, connecting the right services, and creating systems that can actually make decisions with context. In this lesson, I walk through the kind of thinking that helps you move from “AI sounds cool” to “AI can solve real problems.” If this triage agent lesson sparked some ideas, my full course will help you take them much further. Generative AI for DevOps is designed for developers and DevOps engineers who want to use AI more practically in automation, cloud workflows, and modern delivery pipelines. Enroll here: https://www.udemy.com/course/generati... If you want to go deeper, check out my courses: 🤖 Generative AI for .NET Developers with Azure AI Services: https://www.udemy.com/course/generati... 🚀 Azure DevOps and Continuous Delivery With Git: https://www.udemy.com/course/azure-de... Because the future belongs to developers who can build intelligently and ship reliably. 00:00 Introduction 01:49 DevOps Agent Overview 02:28 Tour of The .NET File-Based Triage Agent Code 05:23 Defining the Agent Using the Microsoft Agentic Framework Library 06:23 Defining The Agent's Tools 08:32 Outlining Agent Self-Evaluation Rules 09:24 Creating a GitHub Workflow For The Triage Agent 12:06 Introducing a Failed Test in Code 12:30 Testing The Workflow Run 12:50 Adjust the Test Step of the GitHub Workflow (Ensure that it outputs properly) 13:20 Review The Tirage Agent Output in the Workflow #DotNet #GenerativeAI #AzureAI #AzureDevOps #AIEngineering #SoftwareDevelopment #CloudEngineering #DevOps #CSharp #UdemyInstructor