Argo Workflow - Building and Managing Kubernetes Workflow

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Free Download Argo Workflow - Building and Managing Kubernetes Workflow
Published 7/2024
Created by Amit Maheshwari
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 24 Lectures ( 1h 57m ) | Size: 1.36 GB

Argo Workflows is an open-source container-native workflow engine for orchestrating parallel jobs on Kubernetes.
What you'll learn:
In an Argo workflow course, students will learn the fundamentals of orchestrating container-native workflows on Kubernetes
Introduction to Argo Workflows
Workflow Design, Templates, DAG
Use cases
Requirements:
Participant must be familiar with kubernetes basics (Pods,RBAC,Services,Configmaps and Secretes)
Description:
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 [email protected].
Who this course is for:
Intermediate level who is familiar with kubernetes
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