Gain insights into Helm, the Kubernetes package manager, to create, package, and deploy applications efficiently. Delve into designing reusable Helm charts for reliable, scalable deployments.

helm-course-docker3.tar.gz

app-repo

dashboard-base

kanban-base

gcloud-bas

dashboard-installed

dashboard-installed-errors

create cluster

kanban-test

kanban-diff-plugin

kanban-publish

kanban-publish-prepare

kanban-advanced-functions

helmfile-installed

cd usercode

helmfile-installed-copy

cd usercode & format script

Are you already working with Kubernetes but tired of writing all these YAML files? Especially when you need to deploy lots and lots of applications?

If so, this course is just for you. You’ll learn about Helm, a popular, CNCF graduated project that's built on top of Kubernetes. Helm is a Kubernetes package manager which helps bundle all K8s objects together. In this course, you’ll create small projects to learn about the basic concepts of Helm and gain hands-on experience in working with it. You’ll also learn how to design reusable Helm charts.

By the time you’re done with this course, you’ll be equipped with the skills required to make reliable, consistent, and scalable deployments with Helm. You’ll be able to use Helm to create, package, configure, and deploy your Kubernetes applications efficiently and effectively.

A Practical Guide to Helm

# Install Kanban on GKE

We’ll use our umbrella chart to install an application with only one command. Yes, that’s right. With only one command we can install an application on a cloud! 

Here is a summary of the most important commands that can help us manage a cluster.


Use the following commands to log in and set up `gcloud`:

* Log in to `gcloud` using `gcloud auth login`.
* Create a cluster using using `gcloud container clusters create-auto kanban-cluster --region=<YOUR-REGION> --project=<YOUR-PROJECT-ID>`.
* Update `kubectl` config using `gcloud container clusters get-credentials kanban-cluster --region=<YOUR-REGION> --project=<YOUR-PROJECT-ID>`.
* Delete cluster using `gcloud container clusters delete kanban-cluster --region=<YOUR-REGION> --project=<YOUR-PROJECT-ID>`.

And here is the command to install the Kanban application, which might take a couple of minutes:


helm upgrade kanban ./kanban -n kanban --create-namespace --install --wait

The output will be as follows:


```
Release "kanban" does not exist. Installing it now.
W0107 06:53:14.496052   22612 warnings.go:70] Autopilot set default resource requests for Deployment kanban/kanban-frontend, as resource requests were not specified. See http://g.co/gke/autopilot-defaults.  
W0107 06:53:14.497283   22612 warnings.go:70] Autopilot set default resource requests for Deployment kanban/kanban-backend, as resource requests were not specified. See http://g.co/gke/autopilot-defaults.   
W0107 06:53:14.609664   22612 warnings.go:70] Autopilot increased resource requests for StatefulSet kanban/postgres to meet requirements. See http://g.co/gke/autopilot-resources.
NAME: kanban
LAST DEPLOYED: Fri Jan  7 06:53:13 2022
NAMESPACE: kanban
STATUS: deployed
REVISION: 1
Thank you for running Kanban application!


1. Establish port-forwarding:

   > kubectl port-forward svc/kanban-frontend 8080:8080 --namespace kanban

2. Enter the page http://localhost:8080/
```

If you encounter, `Error: Kubernetes cluster unreachable: Get "http://localhost:8080/version": dial tcp 127.0.0.1:8080: connect: connection refused` make sure that you execute a following command:


Learn how to install a Kanban application using Helm on Google Kubernetes Engine.

Getting Started

Configure Development Environment

Installing Public Helm Charts

Building Custom Helm Charts

Create Single Deployment Using Helm and K8s

Quality Assurance for a Custom Helm Chart

Helm Umbrella Chart

Create and Publish a Customized Helm Chart

Using Helm On a Cloud

Helmfile

Appendix

Install Applications with Helmfile

Build Custom Helm Chart

Install a Helm Chart on GKE

Install Kanban on GKE