Argo Workflow: Building and Managing Kubernetes Workflow

Argo Workflow: Building and Managing Kubernetes Workflow, available at $44.99, with 24 lectures, and has 493 subscribers.

You will learn about 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 This course is ideal for individuals who are Intermediate level who is familiar with kubernetes It is particularly useful for Intermediate level who is familiar with kubernetes.

Enroll now: Argo Workflow: Building and Managing Kubernetes Workflow

Summary

Title: Argo Workflow: Building and Managing Kubernetes Workflow

Price: $44.99

Number of Lectures: 24

Number of Published Lectures: 24

Number of Curriculum Items: 24

Number of Published Curriculum Objects: 24

Original Price: ₹799

Quality Status: approved

Status: Live

What You Will 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

Who Should Attend

Intermediate level who is familiar with kubernetes

Target Audiences

Intermediate level who is familiar with kubernetes

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.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Course Agenda

Chapter 2: Argo Workflow : Overview and Architecture

Lecture 1: Argo Workflow overview and Problem statement

Lecture 2: Argo Workflow Architecture

Lecture 3: Lab1: Argo Workflow Setup

Lecture 4: Lab 2 : Argo Workflow : Networking, Service Account and Auth token

Chapter 3: Workflow specs and Template

Lecture 1: Workflow Spec Section

Lecture 2: Lab 3: Argo Workflow Specs

Lecture 3: Template Types: Container and Lab 4

Lecture 4: Template Types: Script and Lab 5

Lecture 5: Template Types: Resource and Lab 6

Lecture 6: Template Type: Suspend and Lab 7

Lecture 7: Template Type: Step and Lab 8

Lecture 8: Template Type: Dag and Lab 9

Chapter 4: Artifacts and Repository

Lecture 1: Introduction to Artifacts and Artifacts Repository

Lecture 2: Lab 10 Artifact Repository for Argo workflow (S3 bucket)

Lecture 3: Lab 11 Artifacts generation and store in S3 repository

Lecture 4: Output Parameters and Lab 12

Chapter 5: Kubernetes Resources in Argo Workflow

Lecture 1: Secrets in Argo Workflow

Lecture 2: PVC in Argo Workflow

Chapter 6: Loops, Conditioning Statement and Exit handlers

Lecture 1: Loops in Argo Workflow

Lecture 2: Exit Handlers and Retry

Chapter 7: Workflow and cluster templates, cron workflows

Lecture 1: Workflow Template and Cluster Workflow Template

Lecture 2: Cron Workflow

Instructors

Amit Maheshwari
Trainer at Udemy

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Frequently Asked Questions

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You can view and review the lecture materials indefinitely, like an on-demand channel.

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