murder
microk8s
murder | microk8s | |
---|---|---|
3 | 66 | |
2,524 | 8,118 | |
- | 0.7% | |
0.0 | 8.3 | |
over 7 years ago | 8 days ago | |
Ruby | Python | |
GNU General Public License v3.0 or later | 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.
murder
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MicroShift
> I have many thousands of machines running in multiple datacenters and even getting a ~4mb binary distributed onto them without saturating the network (100mbit) and slowing everything else down, is a bit of a challenge.
You may find murder[1] of some use.
[1] https://github.com/lg/murder
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Fork Freshness: Discover Active Forks of Abandoned GitHub Repositories
Is there a repository for Fork Freshness? I could see the twitter account ignoring requests in the future and the same fate could fall to this project. I would recommend releasing the project under AGPL-3.0-or-later to partially solve this issue so the project can continue in the event of abandonment. I could see people contributing code to search for projects in other known forges such as GitLab, Sourceforge, Savannah, Gitea, pagure, and sourcehut as sometimes projects are forked outside of the original forge.
I have noticed this issue that Fork Freshness tries to solve. My example is Twitter's project murder https://github.com/lg/murder When a project becomes unmaintained whether officially or unofficially, the future home is often lost unless the original points to the new home at the top of the README file. You can dig within GitHub in the Insights > Network section to get a visual glimpse of what has changed since. https://github.com/lg/murder/network The original repository put up a notice that the project is unmaintained and archived the project which effectively ends the project in practice. In this case, ervinb's fork seems to be the most active commits before being abandoned. https://github.com/ervinb/murder Other forks also had independent commits that never were pulled into other projects. Looking at the network method fails to differentiate 30 grammar fixes from 30 new features without digging into each promising looking fork. Even then, you may miss a single commit that included more work then the entirety of the other commits. Disclosure: I have not worked on murder.
This is a serious problem and I hope we solve it.
- I have a ~2gb file I need regularly sent to ~300 *Nix servers. What's the best way to do this?
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?
active-forks - Find active github forks of a repo https://git.io/vSnrC
rancher - Complete container management platform
murder - Large scale server deploys using BitTorrent and the BitTornado library
k3s - Lightweight Kubernetes
Better-Github-Forks - Script for finding good forks of any project on Github
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
apt-transport-ipfs - IPFS transport for apt
k3d - Little helper to run CNCF's k3s in Docker
aws-sdk-go-v2 - AWS SDK for the Go programming language.
k0s - k0s - The Zero Friction Kubernetes
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing