Argo Workflows on Kubernetes Core Concepts

Argo Workflows on Kubernetes – Core Concepts, available at Free, has an average rating of 4.2, with 23 lectures, based on 258 reviews, and has 6698 subscribers.

You will learn about You will learn how to install a minikube cluster with Argo Workflows on your local machine. You will get to know the core concepts of Argo Workflows and how to use them creating workflows. You will be able to communicate with the Argo server using the kubectl CLI and how to use the Argo Server UI. This course is ideal for individuals who are Anyone who wants to use a Kubernetes native orchestration tool to create simple and complex workflows. or Everyone who wants to get to know most of the features of Argo Workflows for the creation of large workflows with a practical approach. It is particularly useful for Anyone who wants to use a Kubernetes native orchestration tool to create simple and complex workflows. or Everyone who wants to get to know most of the features of Argo Workflows for the creation of large workflows with a practical approach.

Enroll now: Argo Workflows on Kubernetes – Core Concepts

Summary

Title: Argo Workflows on Kubernetes – Core Concepts

Price: Free

Average Rating: 4.2

Number of Lectures: 23

Number of Published Lectures: 23

Number of Curriculum Items: 23

Number of Published Curriculum Objects: 23

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

You will learn how to install a minikube cluster with Argo Workflows on your local machine.

You will get to know the core concepts of Argo Workflows and how to use them creating workflows.

You will be able to communicate with the Argo server using the kubectl CLI and how to use the Argo Server UI.

Who Should Attend

Anyone who wants to use a Kubernetes native orchestration tool to create simple and complex workflows.

Everyone who wants to get to know most of the features of Argo Workflows for the creation of large workflows with a practical approach.

Target Audiences

Anyone who wants to use a Kubernetes native orchestration tool to create simple and complex workflows.

Everyone who wants to get to know most of the features of Argo Workflows for the creation of large workflows with a practical approach.

This is an introductory course to the full course Hands-On Guide to Argo Workflows on Kubernetes.

Argo Workflows is a container native workflow engine for orchestrating jobs in Kubernetes. This means that complex workflows can be created and executed completely in a Kubernetes cluster.

It provides a mature user interface, which makes operation and monitoring very easy and clear. There is native artifact support, whereby it is possible to use completely different artifact repositories (Minio, AWS S3, Artifactory, HDFS, OSS, HTTP, Git, Google Cloud Service, raw).

Templates and cron workflows can be created, with which individual components can be created and combined into complex workflows. This means that composability is given. Furthermore, workflows can be archived and Argo provides a REST API and an Argo CLI tool, which makes communication with the Argo server easy.

It is also worth mentioning that Argo Workflows can be used to manage thousands of parallel pods and workflows within a Kubernetes cluster. And robust repetition mechanisms ensure a high level of reliability.

There is already a large, global community that is growing steadily. Just to name IBM, SAP and NVIDIA. It is mainly used for machine learning, ETL, Batch – and data processing and for CI / CD. And what is also very important – it is open source and a project of the Cloud Native Computing Foundation.

Upon successful completion of the course, you will be able to create workflows using the core concepts of Argo Workflows. You will be confident to use the kubectl CLI and the Argo Server UI in order to communicate with the Argo Server and manage your workflows.

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Create a Minikube Cluster

Lecture 1: Create a Minikube Cluster – Introduction

Lecture 2: Installation kubectl – Windows 10

Lecture 3: Installation minikube – Windows 10

Lecture 4: Select a hypervisor – Windows 10

Lecture 5: Enable Hyper-V – Windows 10

Lecture 6: Start minikube with Hyper-V – Windows 10

Chapter 3: First Steps and Core Concepts

Lecture 1: Changes

Lecture 2: Installation Argo Workflows

Lecture 3: Argo Server User Interface

Lecture 4: Hello World Workflow

Lecture 5: Core Concept

Lecture 6: Template Definitions

Lecture 7: Container Template

Lecture 8: Script Template

Lecture 9: Rating

Lecture 10: Resource Template

Lecture 11: Template Invocators

Lecture 12: Steps Template serial

Lecture 13: Steps Template parallel

Lecture 14: Suspend Template

Lecture 15: DAG Template

Chapter 4: Summary

Lecture 1: Summary

Instructors

Jan Schwarzlose
Data Engineer aus Leidenschaft

Rating Distribution

1 stars: 4 votes

2 stars: 5 votes

3 stars: 33 votes

4 stars: 86 votes

5 stars: 130 votes

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