microk8s
microshift
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microk8s | microshift | |
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66 | 9 | |
8,103 | 630 | |
1.3% | 2.5% | |
8.5 | 9.9 | |
5 days ago | 2 days ago | |
Python | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
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.
microshift
- Microshift: Small form factor OpenShift/Kubernetes
- new MicroShift releases [4.12.x]!
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Running Kubernetes on Raspberry Pi 4 8GB
Another good option is Microshift: https://github.com/openshift/microshift
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Install k8s on single node bare metal
RPM RHEL derivatives I recommend: https://microshift.io
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Manage Multiple Kubernetes Clusters with ArgoCD
If you are moving to edge you can try microshift (https://microshift.io/). There is also option to run a single node ocp (https://docs.openshift.com/container-platform/4.9/installing/installing_sno/install-sno-installing-sno.html).
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OpenShift is open source, is OpenShift Local too?
There is also microshift. https://microshift.io/
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How many use snap on fedora?
I use one snap, but not on Fedora, instead with RHEL. It is the only way to use Microk8s, which is a quite full-featured distribution of Kubernetes that has a small footprint. Red Hat recently came out with an early offering called MicroShift, but it's not really ready yet. When it can satisfy my needs, you'll bet I'm switching.
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MicroShift
This is an open source project from the start (as most things red hat creates), you can find the coffee here: https://github.com/redhat-et/microshift
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Aperçu de Microshift, une implémentation légère d’OpenShift …
GitHub - redhat-et/microshift: A small form factor OpenShift/Kubernetes optimized for edge computing
What are some alternatives?
rancher - Complete container management platform
Openshift Origin - Conformance test suite for OpenShift
k3s - Lightweight Kubernetes
okd - The self-managing, auto-upgrading, Kubernetes distribution for everyone
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
microk8s - MicroK8s is a small, fast, single-package Kubernetes for developers, IoT and edge. [Moved to: https://github.com/canonical/microk8s]
k3d - Little helper to run CNCF's k3s in Docker
kubeedge - Kubernetes Native Edge Computing Framework (project under CNCF)
k0s - k0s - The Zero Friction Kubernetes
runtime - Kata Containers version 1.x runtime (for version 2.x see https://github.com/kata-containers/kata-containers).
kops - Kubernetes Operations (kOps) - Production Grade k8s Installation, Upgrades and Management
IngressMonitorController - A Kubernetes controller to watch ingresses and create liveness alerts for your apps/microservices in UptimeRobot, StatusCake, Pingdom, etc. – [✩Star] if you're using it!