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所在平台: Udemy |
课程主页: https://www.udemy.com/course/argo-workflow/
课程评论：没有评论
课程名称：Argo Workflow：构建和管理Kubernetes工作流 课程概述：Argo Workflows是一个开源的容器原生工作流引擎，旨在在Kubernetes上协调并行作业。用户可以通过基于YAML的语法定义和管理复杂的工作流，从而实现对Kubernetes集群内任务和流程的自动化。在本模块中，我们将涵盖Argo Workflows的基础到高级语法和可用选项。每个课程都包含实验室练习，以帮助您更好地理解该产品。课程将涉及所有语法方面及其应用案例。参加此课程前，您需要具备Kubernetes的基础知识，因为它建立在Kubernetes概念之上，并利用其功能进行工作流编排。设置也必须在Kubernetes上进行。 通过本模块的学习，您将全面理解Argo Workflows，使您能够自信地设计、实施和管理Kubernetes上的复杂工作流。这些工作流便于在每一步中使用容器。请务必尝试文档中提到的所有实验室练习。这些实践课程对于应用理论知识至关重要，确保您在Argo Workflows上获得实际经验。如果实验室遇到任何问题，请联系我：amit@openwriteup.com。
Argo Workflows is an open-source container-native workflow engine designed for orchestrating parallel jobs on Kubernetes. It allows users to define and manage complex workflows through a YAML-based syntax, enabling the automation of tasks and processes across a Kubernetes cluster.In this module, we will cover the basic to advanced syntax and options available for Argo Workflows. Each session includes labs that will assist you in gaining a better understanding of the product. This covers all the syntax aspects and use cases as well.Prior knowledge of Kubernetes is required before you start working on Argo Workflows, as it builds upon Kubernetes concepts and leverages its features for workflow orchestration. The setup must also be performed on Kubernetes.By the end of this module, you will have a comprehensive understanding of Argo Workflows, enabling you to design, implement, and manage complex workflows on Kubernetes with confidence. These workflows facilitate the use of containers for each step.Please try all the labs mentioned in the document. The hands-on labs are essential for applying the theoretical knowledge covered in the sessions, ensuring you gain practical experience with Argo Workflows.If there are any issues with the lab, please contact me at amit@openwriteup.com.
