Helm – The Kubernetes Package Manager hands-on course

Helm – The Kubernetes Package Manager hands-on course, available at $89.99, has an average rating of 4.42, with 42 lectures, 7 quizzes, based on 343 reviews, and has 8916 subscribers.

You will learn about Introduction to Helm: What is Helm, its architecture, and its benefits for Kubernetes deployment. Helm Installation and Configuration: How to install and configure Helm on a Kubernetes cluster, and how to set up a local development environment. Helm Charts: What are Helm charts, how to create and manage them, and best practices for chart development. Helm Commands and Templates: How to use Helm commands and templates for chart deployment, customization, and management. Helm Repositories: How to create and manage Helm repositories, and how to share and distribute charts. Gitlab CI/CD: Introduction to Gitlab CI/CD and how to set up a pipeline for building and deploying Helm charts. Gitlab Integration with Kubernetes: How to integrate Gitlab with Kubernetes for seamless deployment and monitoring. Advanced Topics: Advanced Helm features and techniques, such as Helm plugins Best Practices and Troubleshooting: Best practices for using Helm and Gitlab for Kubernetes deployment, and common issues and their solutions. This course is ideal for individuals who are Developers who are already familiar with Kubernetes and want to learn how to use Helm to simplify their deployment process. or DevOps engineers who want to enhance their knowledge of Kubernetes deployment using Helm and Gitlab CI/CD pipeline. or System administrators who are interested in understanding how to use Helm for packaging and deploying applications on Kubernetes clusters. or IT professionals who are looking to learn new tools and technologies related to Kubernetes and CI/CD. or Students who want to learn about the latest trends and techniques in containerization and deployment with Kubernetes and Helm. or Anyone who wants to gain knowledge and practical experience in using Helm for Kubernetes deployment and Gitlab CI/CD pipeline. It is particularly useful for Developers who are already familiar with Kubernetes and want to learn how to use Helm to simplify their deployment process. or DevOps engineers who want to enhance their knowledge of Kubernetes deployment using Helm and Gitlab CI/CD pipeline. or System administrators who are interested in understanding how to use Helm for packaging and deploying applications on Kubernetes clusters. or IT professionals who are looking to learn new tools and technologies related to Kubernetes and CI/CD. or Students who want to learn about the latest trends and techniques in containerization and deployment with Kubernetes and Helm. or Anyone who wants to gain knowledge and practical experience in using Helm for Kubernetes deployment and Gitlab CI/CD pipeline.

Enroll now: Helm – The Kubernetes Package Manager hands-on course

Summary

Title: Helm – The Kubernetes Package Manager hands-on course

Price: $89.99

Average Rating: 4.42

Number of Lectures: 42

Number of Quizzes: 7

Number of Published Lectures: 42

Number of Published Quizzes: 7

Number of Curriculum Items: 49

Number of Published Curriculum Objects: 49

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Introduction to Helm: What is Helm, its architecture, and its benefits for Kubernetes deployment.
Helm Installation and Configuration: How to install and configure Helm on a Kubernetes cluster, and how to set up a local development environment.
Helm Charts: What are Helm charts, how to create and manage them, and best practices for chart development.
Helm Commands and Templates: How to use Helm commands and templates for chart deployment, customization, and management.
Helm Repositories: How to create and manage Helm repositories, and how to share and distribute charts.
Gitlab CI/CD: Introduction to Gitlab CI/CD and how to set up a pipeline for building and deploying Helm charts.
Gitlab Integration with Kubernetes: How to integrate Gitlab with Kubernetes for seamless deployment and monitoring.
Advanced Topics: Advanced Helm features and techniques, such as Helm plugins
Best Practices and Troubleshooting: Best practices for using Helm and Gitlab for Kubernetes deployment, and common issues and their solutions.

Who Should Attend

Developers who are already familiar with Kubernetes and want to learn how to use Helm to simplify their deployment process.
DevOps engineers who want to enhance their knowledge of Kubernetes deployment using Helm and Gitlab CI/CD pipeline.
System administrators who are interested in understanding how to use Helm for packaging and deploying applications on Kubernetes clusters.
IT professionals who are looking to learn new tools and technologies related to Kubernetes and CI/CD.
Students who want to learn about the latest trends and techniques in containerization and deployment with Kubernetes and Helm.
Anyone who wants to gain knowledge and practical experience in using Helm for Kubernetes deployment and Gitlab CI/CD pipeline.

Target Audiences

Developers who are already familiar with Kubernetes and want to learn how to use Helm to simplify their deployment process.
DevOps engineers who want to enhance their knowledge of Kubernetes deployment using Helm and Gitlab CI/CD pipeline.
System administrators who are interested in understanding how to use Helm for packaging and deploying applications on Kubernetes clusters.
IT professionals who are looking to learn new tools and technologies related to Kubernetes and CI/CD.
Students who want to learn about the latest trends and techniques in containerization and deployment with Kubernetes and Helm.
Anyone who wants to gain knowledge and practical experience in using Helm for Kubernetes deployment and Gitlab CI/CD pipeline.

Helm is a tool used to package Kubernetes manifest files that are used to install a cloud-native application. Deployments, Services, Ingresses, ConfigMaps, etc. are all packed into a Helm chart. Using this Helm chart, you can deploy the app to a Kubernetes cluster the same way you use apt-get in Ubuntu, or brew on a macOS.

After completing this course, you will have a working knowledge of Helm. You’ll be able not only to use ready-made Helm Charts to automate day-to-day deployments, but you’ll also automate the most complex Kubernetes deployments and contribute them to the community.

I’ve designed this course to focus on the important parts of Helm. I did my best not to bother you with boring material that you’d seldom use in your day-to-day life as a Helm and Kubernetes engineer. Instead, I will give you the core stuff of the tool together with some tips and tricks that will let you code Helm charts like a pro in no time!

To get the most out of this course, I highly encourage you to open your laptop and do the labs that I explain in the class. There’s nothing better than getting your hands dirty learning a new tool or technology. That way, by the end of this course, you’ll find yourself already developing, applying, maintaining, and even sharing your very own Helm charts.

The best way to learn any tool is by using it! In this course, we’ll work together to deploy ready-made Helm charts to Kubernetes using Helm. After mastering that, we’ll start analyzing the Helm chart bit by bit. Along the way, you’ll learn the following:

Understand why we need a package manager for Kubernetes
Deploying Helm to minikube (local Kubernetes cluster)
Understanding Helm repositories
Adding one or more Helm repositories to your system
Searching the Helm repository for your desired Chart
Using Helm to deploy ready-made Charts from popular repositories
Inspecting a Helm Chart deployment
Upgrading a Helm deployment and viewing its history
Customizing the Helm Chart to your own needs by modifying the values file
How (and when) to create your own Helm Charts
Understanding Helm Templates
Testing your Helm templates without applying them using the dry-run flag.
Revisiting Helm history by upgrading and rolling back package deployments
Using Helm functions (include, indent, nindent, toYaml, b64enc, and more)
Decision making using conditional and logical statements (IF, NOT, AND, OR)
Loop through simple and complex objects using the “range” keyword
Deep diving into Helm variables
Debugging your Helm charts
Creating your own Helm repositories and pushing Charts
Deploying even more complex Kubernetes environments using Helm Chart dependencies
Learning about popular community-based Helm projects like Chartmuseum
Extending Helm by building your own repositories
Exploring different Helm plugins to automate repetitive tasks and store charts in the cloud
Build your own Helm plugins and use custom commands and protocols
Configure Helm to create your own specific boilerplate charts using Helm starters

With a 30-day money-back guarantee, no questions asked, you have zero risk trying out this course. Go ahead and Enroll Now!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Welcome

Lecture 2: Introduction

Lecture 3: Installing Helm

Chapter 2: Exploring Helm's Nginx Chart

Lecture 1: Adding a Helm chart repository

Lecture 2: Installing the Nginx Helm chart

Lecture 3: Customizing Helm chart installation

Lecture 4: Upgrading and deleting Helm charts

Chapter 3: Helm: Testing the waters

Lecture 1: Test Helm releases using "dry-run"

Lecture 2: Inspect a Helm release using "helm get"

Lecture 3: Helm release history and rollback

Lecture 4: Helm install/upgrade tips and tricks

Chapter 4: Helm chart creation 101

Lecture 1: The Chart.yaml file

Lecture 2: Helm templates primer

Lecture 3: Packaging our app in a Helm chart

Chapter 5: Helm templates development

Lecture 1: Helm templates playground

Lecture 2: The toYaml, indent, and nindent template functions

Lecture 3: Using the .Files template method with ConfigMaps and Secrets

Lecture 4: (Optional) How to get the API key used for the "Weather App"

Lecture 5: 'if", "else", and "else if" conditional statements

Lecture 6: Looping using the range and index functions

Lecture 7: The _helpers file and the named templates

Lecture 8: Summary

Chapter 6: Helm: The full thrust

Lecture 1: Helm chart dependencies

Lecture 2: Helm Library charts

Lecture 3: Creating your own Helm repository

Lecture 4: BONUS: Host your Helm repo on a web server (using AWS S3)

Lecture 5: BONUS: Host your Helm repo using Chartmusem

Chapter 7: Extending Helm

Lecture 1: Helm plugins with S3 as an example

Lecture 2: BONUS: Build your own Helm plugin

Lecture 3: BONUS: Use your own chart protocol with Helm downloader plugin

Lecture 4: Helm starter charts

Chapter 8: Helm in production

Lecture 1: Helm Blue/Green Deployments

Lecture 2: (Re)-exploring our sample application

Lecture 3: Provisioning the app to EKS cluster through Helm

Chapter 9: Helm CI/CD techniques on GitLab and EKS

Lecture 1: What is CI/CD

Lecture 2: Setting up a CI/CD user for EKS and non-EKS Kubernetes clusters

Lecture 3: Deploying EKS using eksctl

Lecture 4: Setting up a GitLab repository

Lecture 5: Preparing the GitLab CI/CD pipeline

Lecture 6: GitLab CI stage 1: Build and Push

Lecture 7: GitLab CI stage 2: Delivery to staging environments

Lecture 8: GitLab CI stage 3: Deployment to production environment

Instructors

Ahmed Elfakharany
Lead DevOps engineer | Cloud-Native tech expert | Writer

Rating Distribution

1 stars: 5 votes
2 stars: 10 votes
3 stars: 23 votes
4 stars: 114 votes
5 stars: 192 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!

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