kubernetes-the-hard-way
microk8s
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kubernetes-the-hard-way | microk8s | |
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126 | 66 | |
38,683 | 8,118 | |
- | 1.5% | |
0.0 | 8.3 | |
15 days ago | 4 days ago | |
Python | ||
Apache License 2.0 | Apache License 2.0 |
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kubernetes-the-hard-way
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Continuous Learning in Kubernetes: My Voyage of Discovery
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.
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Upgrading Hundreds of Kubernetes Clusters
Another resource that I found pretty helpful was "Kubernetes the Hard Way" by Kelsey Hightower despite its complexity.
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The Hater's Guide to Kubernetes
https://github.com/kelseyhightower/kubernetes-the-hard-way
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Kubernetes the Harder Way, on a local Mac or Linux
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.
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Ask HN: Is there a low cost way to learn real K8s, after exhausting minikube?
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:
- Has anyone ever tried to learn how k8s works?
- Anyone has experience with windows k8 ?
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Ask HN: How to Learn Kubernetes
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.
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Someone got some links of K8s hands-on lab for beginner to intermediate ?
Using Kubernetes The Hard Way is a great way to learn it deeply and quickly.
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Fastest way to set up an k8s environment ?
If you wanna learn it deeply and quickly, Kelsey Hightower's Kubernetes the hard way is fantastic!
microk8s
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You get what you Measure: Understanding your applications health with Grafana, Loki and Prometheus
If you want hands-on practice you should have a running Kubernetes cluster (I used MicroK8s for this tutorial) and Helm (see how to install on Installing Helm tutorial). It is important that you understand the basics of these tools to fully understand.
- MicroK8s – Zero-ops Kubernetes for developers, edge and IoT
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Deploying a Web Service on a Cloud VPS Using Kubernetes MicroK8s: A Comprehensive Guide
And install microk8s:
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Running workloads at the edge with MicroK8s
MicroK8s is a lightweight, batteries included Kubernetes distribution by Canonical designed for running edge workloads which also happens to be developer-friendly and a great choice for building your own homelab. The following lab covers how to install and run MicroK8s on your own edge node running Ubuntu 22.04 LTS, deploy the NGINX web service and exposing your NGINX website to the Internet with SSL/TLS enabled using AWS resources included within the Free Tier.
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Seeking Guidance for Transitioning to Kubernetes and SRE/DevOps for traditional infrastructure team
One quick and easy win I can recommend, is microk8s.
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Canonical Launches MicroCloud to Deploy Your Own "Fully Functional Cloud"
I had the same problem (and there's a github issue about this: https://github.com/canonical/microk8s/issues/2186). I swapped to k3s and the usage was half of what microk8s used.
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Cuber: Deploy your apps on Kubernetes easily
microk8s currently has a showstopping issue that makes it guaranteed to have an irrecoverable failure in HA mode. see https://github.com/canonical/microk8s/issues/3227
k0s is better but also has a lot of bugs. it's the closest to vanilla kubernetes among all the distributions.
> like the simplest GPU support
linux users should be ready to install the nvidia device plugin. if they can't do that, they're never going to succeed in running a gpu accelerated application on their cluster anyway.
> like bootstrapping
in my experience, writing all the bootstrap scripts is painful. but now that there's chatgpt, so much of the drudgery as gone away.
- MicroK8s – Low-ops, minimal Kubernetes, for cloud, clusters, Edge and IoT
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I turn my company’s PC into my own “Vercel-like” platform
MicroK8S to spin up a Kubernetes cluster
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Picked up this HP EliteDesk 800 G2 SFF for 60 EUR! Runs OpenBSD like a charm.
They now power my microk8s/x86 cluster (in addition to my 8-node Raspberry Pi4 ARM64 microk8s cluster), microceph cluster and my LXD cluster, and all are configured with WOL, so I can bring up the cluster from any machine in the homelab, on demand.
What are some alternatives?
kubeadm - Aggregator for issues filed against kubeadm
rancher - Complete container management platform
k3d - Little helper to run CNCF's k3s in Docker
k3s - Lightweight Kubernetes
kubespray - Deploy a Production Ready Kubernetes Cluster
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
testssl.sh - Testing TLS/SSL encryption anywhere on any port
awesome-home-kubernetes - ⚠️ Deprecated: Awesome projects involving running Kubernetes at home
k0s - k0s - The Zero Friction Kubernetes
metallb - A network load-balancer implementation for Kubernetes using standard routing protocols
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing