Hands-On Guide to Argo Workflows on Kubernetes

Hands-On Guide to Argo Workflows on Kubernetes, available at $49.99, has an average rating of 3.8, with 60 lectures, based on 332 reviews, and has 3009 subscribers.

You will learn about You will learn and understand the Argo Workflows concepts / functionalities and their practical implementation. You will get to know the Argo Workflows features. You will be able to create complex workflows with and without cron triggers using the different concepts and workflow functionalities. You will be able to create workflow templates that can be used as reusable building blocks for complex workflows. 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: Hands-On Guide to Argo Workflows on Kubernetes

Summary

Title: Hands-On Guide to Argo Workflows on Kubernetes

Price: $49.99

Average Rating: 3.8

Number of Lectures: 60

Number of Published Lectures: 60

Number of Curriculum Items: 60

Number of Published Curriculum Objects: 60

Original Price: 104.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn and understand the Argo Workflows concepts / functionalities and their practical implementation.

You will get to know the Argo Workflows features.

You will be able to create complex workflows with and without cron triggers using the different concepts and workflow functionalities.

You will be able to create workflow templates that can be used as reusable building blocks for complex workflows.

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.

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 complex workflows with and without cron triggers using the different concepts and workflow functionalities. You will be able to create workflow templates and use them as reusable building blocks for complex workflows. And you get to know and apply the Argo features.

What can you expect in the course?

You will receive more than 50 primarily practical lessons, which include more than 6 hours of video material. You can download the associated workflow definitions as .yaml and the instructions as well as the Powerpoint slides as .pdf from the course materials.

Each chapter ends with an exercise that you have to solve yourself. Of course, the solutions are also made available to you here as a video and the .yamls.

You will get access to the online Q&A forum, where either other course participants or I will answer your questions.

And finally, if you successfully complete the course, you will also receive a certificate that will look good on your CV.

30 days money back guarentee

If you are not satisfied with the course, you are welcome to return it without any problems within 30 days and you will get your money back.

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

Lecture 7: Installation Virtualbox – Windows 10

Lecture 8: Start minikube with Virtualbox – 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

Lecture 16: Exercise 1 – task introduction

Lecture 17: Exercise 1 – solution

Chapter 4: Workflow functionalities

Lecture 1: Output Logs to MinIO

Lecture 2: Installation Argo CLI

Lecture 3: Input Parameters

Lecture 4: Script Result

Lecture 5: Output Parameters

Lecture 6: Output Parameter File

Lecture 7: Artifacts

Lecture 8: Secrets as environment variables

Lecture 9: Secrets as mounted volumes

Lecture 10: Loops

Lecture 11: Loops with sets

Lecture 12: Loops with sets as input parameters

Lecture 13: Dynamic Loops

Lecture 14: Conditionals

Lecture 15: Depends

Lecture 16: Depends theorie

Lecture 17: Retry strategy

Lecture 18: Recursion

Lecture 19: Exercise 2 – task introduction

Lecture 20: Exercise 2 – solution

Chapter 5: More concepts and functionalities

Lecture 1: Overview Resources

Lecture 2: Workflow Template

Lecture 3: Cron Workflow

Lecture 4: Cluster Workflow Template

Lecture 5: Reference to Workflow Templates

Lecture 6: Creating a Master Workflow

Lecture 7: AWS S3 as non-default artifact repository

Lecture 8: AWS S3 as default logging and artifact repository

Lecture 9: Archiving workflows

Lecture 10: Namespace

Lecture 11: Service Account

Lecture 12: Exercise 3 – task introduction

Lecture 13: Exercise 3 – solution

Chapter 6: Summary

Lecture 1: Summary

Instructors

Jan Schwarzlose
Data Engineer aus Leidenschaft

Rating Distribution

1 stars: 11 votes

2 stars: 11 votes

3 stars: 32 votes

4 stars: 100 votes

5 stars: 178 votes

Frequently Asked Questions

How long do I have access to the course materials?

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

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!