kubernetes-the-hard-way VS metallb

As I delved into the world of Kubernetes, I opted for what seemed like the scenic route—until reality hit. With determination and a sprinkle of naivety, I plunged into crafting a Kubernetes cluster from scratch. Little did I know, I was in for a wild ride of commands, configurations, and complexities. But fear not! With the guiding light of a course based on the notorious "Kubernetes The Hard Way" GitHub repository, albeit customized for AWS instead of Google Cloud, I embarked on my journey to build my digital fortress, one step at a time.

Another resource that I found pretty helpful was "Kubernetes the Hard Way" by Kelsey Hightower despite its complexity.

https://github.com/kelseyhightower/kubernetes-the-hard-way

I recently published Kubernetes the Harder Way, a guide loosely based on Kelsey Hightower's Kubernetes the Hard Way, but lenghtier, more explanatory, broader in scope, and - most importantly - harder, by targeting a local machine instead of Google Cloud Platform.

How about this? It will setup a kubernetes cluster on GCP with 3 worker nodes?

https://github.com/kelseyhightower/kubernetes-the-hard-way

Some costs here but click on the google cloud calc as it seems to have gone up since he wrote this:

If you wanna go all in: https://github.com/kelseyhightower/kubernetes-the-hard-way

Oh, and both: "Kubernetes up and Running" and "Production Kubernetes" are great books.

Using Kubernetes The Hard Way is a great way to learn it deeply and quickly.

If you wanna learn it deeply and quickly, Kelsey Hightower's Kubernetes the hard way is fantastic!

Hey guys, I want to share a guide I’m pretty proud of which is talking about setting up kubernetes which leverages https://kubespray.io/#/ and https://metallb.universe.tf/ so you can host this yourself most people when spinning up kubernetes opt for k3s or get stuck with all the options or unable to setup the external ips for their services so these tools will eliminate the problem.

Have a closer look at MetallLB.

To avoid that, you can use a combination of haproxy and keepalived, an enterprise grade load balancer like the one from F5 or Citrix. Besides that you can also work with https://kube-vip.io or https://metallb.universe.tf.

Not sure if klipper is usable in a cluster with multiple nodes, as it binds to one port only. You may want to use MetalLB instead: https://metallb.universe.tf/

Then deploy MetalLB https://metallb.universe.tf/

What issue do you see with the load balancer? For self hosted clusters, one can use MetalLB for example to have such single outfacing IP which will failover to another node keeping the same IP if a node dies.

Quoting from their docs:

metalLB to manage bare-metal LoadBalancer services - WIP - Only L2 configuration can be set-up via playbook.