roadmap
microk8s
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roadmap | microk8s | |
---|---|---|
49 | 66 | |
1,445 | 8,118 | |
2.6% | 1.5% | |
2.6 | 8.3 | |
2 months ago | 4 days ago | |
Python | ||
Creative Commons Zero v1.0 Universal | 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.
roadmap
- Docker considering flatpak and snap apps for Linux (please upvote)
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Apple unveils M3, M3 Pro, and M3 Max, the most advanced chips for a PC
x86-64 containers?
https://github.com/docker/roadmap/issues/384 is still open. :(
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Debugging Slim Containers: A quick tutorial using the "Docker Labs Debug Tools" extension
Request features or give feedback: https://github.com/docker/roadmap/issues/524
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"The docker container stop command is deprecated" - is this true?
Nothing in the road map [Github] returned by searching 'stop'.
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How do I get real client IP inside docker container for logging to the database
Further reading online revealed that host network mode is not available for swarm started with docker stack deploy. (Possible related open issue: github link).
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Serious Question: why use Docker Desktop? (from a Linux user)
Single-click k8s install. Extensions. Init. And there are people who just prefer an app-based experience for their own reasons - I think it was the most "upvoted" request ever on their public roadmap.
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Ask HN: Is MacBook Pro 14 M1 16/512 still a great choice?
In case you need to run x86 containers: Docker has Rosetta support now but it's buggy.
https://github.com/docker/roadmap/issues/384
Without Rosetta it uses relatively slow Qemu emulation.
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Docker's deleting Open Source images and here's what you need to know
https://github.com/docker/roadmap/issues/44
So, at the moment, any public organization images are doomed to be lost, if they won't pay.
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How's the M2 Max for Docker development?
I've been watching this GitHub issue for damn near 3 years. Filesystem performance is pretty bad, depending on what you're doing. I had to kludge together workarounds to my DX at my last role where we used Docker for development. It was really, really painful and distracting.
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Launch HN: Moonrepo (YC W23) – Open-source build system
[2] https://github.com/docker/roadmap/issues/7
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?
podman-compose - a script to run docker-compose.yml using podman
rancher - Complete container management platform
multipass - Multipass orchestrates virtual Ubuntu instances
k3s - Lightweight Kubernetes
swarmkit - A toolkit for orchestrating distributed systems at any scale. It includes primitives for node discovery, raft-based consensus, task scheduling and more.
docker - Moby Project - a collaborative project for the container ecosystem to assemble container-based systems [Moved to: https://github.com/moby/moby]
k3d - Little helper to run CNCF's k3s in Docker
toolbox - The Docker Toolbox
k0s - k0s - The Zero Friction Kubernetes
lima - Linux virtual machines, with a focus on running containers
microshift - A small form factor OpenShift/Kubernetes optimized for edge computing