视频简介
在AI技术快速演进的今天，DevOps的角色也在发生重大转变。传统的运维和监控手段已无法满足日益复杂的系统需求，智能化成为未来的发展方向。匠人学院推出的「DevOps AI应用：AI MCP做Monitor」专题课程，聚焦如何借助AI技术，结合Prometheus数据源与Grafana进行自动化的监控系统搭建。课程中，学员将深入了解AI MCP的实际应用，掌握如何通过YAML配置快速生成可视化Dashboard，提升工作效率，降低人为误差，真正实现“智能运维”。 主讲老师是来自澳洲顶尖AI企业Fractal的AWS DevOps工程师Eric老师，他将通过真实项目案例，演示如何利用AI辅助的方式在云原生环境中自动部署监控系统。课程适合希望掌握前沿技术、提升个人竞争力的DevOps工程师、数据工程师、后端开发者和希望转型进入IT领域的求职者。无论你是技术新手，还是希望深入探索AI与DevOps结合的从业者，这场课程都将带来前沿知识与实战技能，助你在职业发展道路上抢占先机。 As AI rapidly transforms the tech landscape, DevOps is evolving beyond its traditional boundaries. The conventional ways of managing infrastructure and monitoring systems are no longer sufficient in today’s dynamic environments. This special workshop, “DevOps AI in Action: AI MCP for Monitoring,” offered by JR Academy, explores how to build intelligent monitoring systems using AI MCP in combination with Prometheus and Grafana. Participants will gain hands-on insight into how AI can automatically generate monitoring dashboards through YAML configurations – saving time, reducing errors, and enhancing overall system reliability. Led by Eric, an AWS DevOps Engineer at Fractal – one of Australia’s leading AI startups – this session dives deep into real-world applications of AI in DevOps workflows. Attendees will learn how to configure AI-assisted tools to deploy cloud-native monitoring setups, turn raw metrics into actionable insights, and automate the entire visualization process using Grafana. This workshop is ideal for DevOps professionals, backend developers, data engineers, and IT career changers looking to upskill with cutting-edge tools. Whether you're just getting started with cloud operations or already working in the field and want to stay ahead of the curve, this session will provide valuable strategies and knowledge to elevate your DevOps journey with AI capabilities.
