K3s vs k8s reddit github Primarily for the learning aspect and wanting to eventually go on to k8s. k9s is a CLI/GUI with a lot of nice features. It is a fully fledged k8s without any compromises. Rancher is more built for managing clusters at scale, IE connecting your cluster to an auth source like AD, LDAP, GitHub, Okta, etc. Nginx is very capable, but it fits a bit awkwardly into k8s because it comes from a time when text configuration was adequate, the new normal is API driven config, at least ingresses. My reasoning for this statement it's that there is a lot of infrastructure that's not currently applying all the DevOps/SRE best practices so switching to K3s (with some of the infrastructure still being brittle ) is still a better move GitHub integrates with Cloudflare to secure your environment using Zero Trust security methodologies for authentication. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. Building clusters on your behalf using RKE1/2 or k3s or even hosted clusters like EKS, GKE, or AKS. For my personal apps, I’ll use a GitHub private repo along with Google cloud build and private container repo. k3s is a great way to wrap applications that you may not want to run in a full production Cluster but would like to achieve greater uniformity K3s uses less memory, and is a single process (you don't even need to install kubectl). k8s_gateway, this immediately sounds like you’re not setting up k8s services properly. 04LTS on amd64. Dec 20, 2019 路 k3s-io/k3s#294. Some co-workers recommended colima --kubernetes, which I think uses k3s internally; but it seems incompatible with the Apache Solr Operator (the failure mode is that the zookeeper nodes never reach a quorum). Atlantis for Terraform gitops automations, Backstage for documentation, discord music bot, Minecraft server, self hosted GitHub runners, cloud flare tunnels, unifi controler, grafana observability stack and volsync backup solution as well as cloud native-pg for postgres database and The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. My question is, can my main PC be running k8s, while my Pi runs K3s, or do they both need to run k3s (I'd not put k8s on the Pi for obvious reasons) This thread is archived New comments cannot be posted and votes cannot be cast Kubernetes at home with K3s. Production ready, easy to install, half the memory, all in a binary less than 100 MB. Lightweight git server: Gitea. K3s is easy and if you utilize helm it masks a lot of the configuration because everything is just a template for abstracting manifest files (which can be a negative if you actually want to learn). So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external sql backend or…etcd. If you are going to deploy general web apps and databases at large scale then go with k8s. 5, while with cluster-api-k3s you need to pass the full qualified version including the k3s revision, like v1. ; Node pools for managing cluster resources efficiently. Thanks for sharing and great news I looked for. Openshift vs k8s What do you prefer and why? I'm currently working on private network (without connection to the Internet) and want to know what is the best orchestration framework in this case. My goals are to setup some Wordpress sites, vpn server, maybe some scripts, etc. So there's a good chance that K8S admin work is needed at some levels in many companies. Not just what we took out of k8s to make k3s lightweight, but any differences in how you may interact with k3s on a daily basis as compared to k8s. K3S seems more straightforward and more similar to actual Kubernetes. AFAIK the interaction with the master API is the same, but i'm hardly an authority on this. 8 pi4s for kubeadm k8s cluster, and one for a not so 'nas' share. As you can see with your issue about 1. But K8s is the "industry standard", so you will see it more and more. Cloudflare will utilize your GitHub OAuth token to authorize user access to your applications. I love k3s for single node solutions, I use it in CI gor PR environments, for example, but I wouldn’t wanna run a whole HA cluster with it. There are two major ways that K3s is lighter weight than upstream Kubernetes: The memory footprint to run it is smaller; The binary, which contains all the non-containerized components needed to run a cluster, is smaller Look into k3d, it makes setting up a registry trivial, and also helps manage multiple k3s clusters. I spent weeks trying to getting Rook/Ceph up-and-running on my k3s cluster, and it was a failure. I wonder if using Docker runtime with k3s will help? If you're running it installed by your package manager, you're missing out on a typically simple upgrade process provided by the various k8s distributions themselves, because minikube, k3s, kind, or whatever, all provide commands to quickly and simply upgrade the cluster by pulling new container images for the control plane, rather than doing k3s based Kubernetes cluster. It cannot and does not consume any less resources. Would external SSD drive fit well in this scenario? Haha, yes - on-prem storage on Kuberenetes is a whooping mess. I'd say it's better to first learn it before moving to k8s. I could run the k8s binary but i'm planning on using ARM SBC's with 4GB RAM (and you can't really go higher than that) so the extra overhead is quite meaningful 2. 5+k3s2. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. It can be achieved in docker via the —device flag, and afaik it is not supported in k8s or k3s. I have moderate experience with EKS (Last one being converting a multi ec2 docker compose deployment to a multi tenant EKS cluster) But for my app, EKS seems Dec 13, 2022 路 should cluster-api-k3s autodiscover the latest k3s revision (and offer the possibility to pin one if the user wants?) I think the problem with this is mainly that there is no guarantee that cluster-api-k3s supports the latest k3s version. I use K3S heavily in prod on my resource constricted clusters. Google won't help you with your applications at all and their code. 1st, k3d is not k3s, its a "wrapper" for k3s. The Fleet CRDs allow you to declaratively define and manage your clusters directly via GitOps. 2 with a 2. The k8s pond goes deep, especially when you get into CKAD and CKS. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. Plenty of 'HowTos' out there for getting the hardware together, racking etc. and using manual or Ansible for setting up. If you don't need as much horsepower, you might consider a Raspberry Pi cluster with K8s/K3s. K3s consolidates all metrics (apiserver, kubelet, kube-proxy, kube-scheduler, kube-controller) at each metrics endpoint, unlike the separate metric for the embedded etcd database on port 2831 Oct 24, 2019 路 Some people have asked for brief info on the differences between k3s and k8s. Working with Kubernetes for such a long time, I'm just curious about how everyone pronounces the abbreviation k8s and k3s in different languages? In Chinese, k8s may be usually pronounced as /kei ba es/, k3s may be usually pronounced as /kei san es/. I use iCloud mail servers for Ubuntu related mail notifications, like HAProxy loadbalancer notifications and server unattended upgrades. From reading online kind seems less poplar than k3s/minikube/microk8s though. 5" drive caddy space available should I need more local storage (the drive would be ~$25 on it's own if I were to buy one) For K3S it looks like I need to disable flannel in the k3s. rke2 is a production grade k8s. (no problem) As far as I know microk8s is standalone and only needs 1 node. 馃挌k8s-image-swapper 馃敟馃敟 - k8s-image-swapper is a mutating webhook for Kubernetes, downloading images into your own registry and pointing the images to that new location. 馃挌Kubero 馃敟馃敟馃敟馃敟馃敟 - A free and self-hosted Heroku PaaS alternative for Kubernetes that implements GitOps You still need to know how K8S works at some levels to make efficient use of it. Edited: And after I've read the post, just 1 yr support for the community edition? K3s if i remember correctly is manky for edge devices. I would opt for a k8s native ingress and Traefik looks good. Now I’m working with k8s full time and studying for the CKA. Lens provides a nice GUI for accessing your k8s cluster. Agreed, when testing microk8s and k3s, microk8s had the least amount of issues and have been running like a dream for the last month! PS, for a workstation, not edge device, and on Fedora 31 Reply reply K8s management is not trivial. The middle number 8 and 3 is pronounced in Chinese. In both approaches, kubeconfig is configured automatically and you can execute commands directly inside the runner I started with home automations over 10 years ago, home-assistant and node-red, over time things have grown. I haven't used it personally but have heard good things. I was hoping to make use of Github Actions to kick off a simple k3s deployment script that deploys my setup to google or amazon, and requires nothing more than setting up the account on either of those, and configuring some secrets/tokens and thats it. [AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload Wer'e trying to move our workload from processes running in AWS pambda + EC2s to kubernetes. I use gitlab runners with helmfile to manage my applications. See full list on github. 23, there is always the possibility of a breaking change. Imho if you have a small website i don't see anything against using k3s. I know k8s needs master and worker, so I'd need to setup more servers. This breaks the a No real value in using k8s (k3s, rancher, etc) in a single node setup. If you switch k3s to etcd, the actual “lightweight”ness largely evaporates. Or skip rancher, I think you can use the docker daemon with k3s, install k3s, cluster, and off you go. Counter-intuitive for sure. I also tried minikube and I think there was another I tried (can't remember) Ultimately, I was using this to study for the CKA exam, so I should be using the kubeadm install to k8s. The reason I prefer SOPS w/ AGE ov The right path is: kcna ckad cka cks. 馃憤 1 rofleksey reacted with thumbs up emoji All reactions Or you can drop a rancher server in docker and then cluster your machines, run kubernetes with the docker daemon, and continue to use your current infrastructure. It's similar to microk8s. Kind on bare metal doesn't work with MetalLB, Kind on Multipass fails to start nodes, k3s multi-node setup failed on node networking. Digital Rebar supports RPi clusters natively, along with K8s and K3s deployment to them. At the beginning of this year, I liked Ubuntu's microk8s a lot, it was easy to setup and worked flawlessly with everything (such as traefik); I liked also k3s UX and concepts but I remember that at the end I couldn't get anything to work properly with k3s. There is more options for cni with rke2. Atlantis for Terraform gitops automations, Backstage for documentation, discord music bot, Minecraft server, self hosted GitHub runners, cloud flare tunnels, unifi controler, grafana observability stack and volsync backup solution as well as cloud native-pg for postgres database and Posted by u/devopsnooby - 7 votes and 9 comments That is not k3s vs microk8s comparison. I know some people are using the bitnami Sealed Secrets Operator, but I personally never really liked that setup. I’m sure this has a valid use case, but I’m struggling to understand what it is in this context. If you want, you can avoid it for years to come, because there are still Rancher K3s Kubernetes distribution for building the small Kubernetes cluster with KVM virtual machines run by the Proxmox VE standalone node. Currently running fresh Ubuntu 22. There are few differences but we would like to at a high level explain anything of relevance. I use it for Rook-Ceph at the moment. Reply reply Mar 8, 2021 路 Keeping my eye on the K3s project for Source IP support out of the box (without an external load balancer or working against how K3s is shipped). It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. It uses DID (Docker in Docker), so doesn't require any other technology. So if they had mysql with 2 slaves for DB they will recreate it in k8s without even thinking if they even need replicas/slaves at all. By default (with little config/env options) K3s deploys with this awesome utility called Klipper and another decent util called Traefik. I am planning to build a k8s cluster for a home lab to learn more about k8s, and also run a ELK cluster and import some data (around 5TB). Use kubespray which uses kubeadm and ansible underneath to deploy native k8s cluster. I have a couple of dev clusters running this by-product of rancher/rke. IoT solutions can be way smaller than that, but if your IoT endpoint is a small Linux running ARM PC, k3s will work and it'll allow you things you'll have a hard time to do otherwise: update deployments, TLS shenanigans etc. Despite claims to the contrary, I found k3s and Microk8s to be more resource intensive than full k8s. Hello guys, I want to ask you how is better to start learn k8s and if it s worth to deploy my own cluster and which method is the best ? I have a dell server 64gb ram, 8TB, 2x Intel OCTA Core Xeon E5-2667 v3, already running proxmox from 1 year, and I m looking for best method to learn and install k8s over proxmox, thank you!! I moved my lab from running VMware to k8s and now using k3s. com). Obviously you can port this easy to Gmail servers (I don’t use any Google services). For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. A guide series explaining how to setup a personal small homelab running a Kubernetes cluster with VMs on a Proxmox VE standalone server node. there’s a more lightweight solution out there: K3s It is not more lightweight. Imho if it is not crazy high load website you will usually not need any slaves if you run it on k8s. I'm not sure if it was k3s or Ceph, but even across versions I had different issues for different install routes - discovery going haywire, constant failures to detect drives, console 5xx errors, etc. The subreddit for all things related to Modded Minecraft for Minecraft Java Edition --- This subreddit was originally created for discussion around the FTB launcher and its modpacks but has since grown to encompass all aspects of modding the Java edition of Minecraft. Contribute to sardaukar/k8s-at-home-with-k3s development by creating an account on GitHub. I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. I have used k3s in hetzner dedicated servers and eks, eks is nice but the pricing is awful, for tight budgets for sure k3s is nice, keep also in mind that k3s is k8s with some services like trafik already installed with helm, for me also deploying stacks with helmfile and argocd is very easy to. 2nd , k3s is certified k8s distro. If anyone has successfully set up a similar setup with success I'd appreciate sharing the details. One day I'll write a "mikrok8s vs k3s" review, but it doesn't really matter for our cluster operations - as I understand it, microk8s makes HA clustering slightly easire than k3s, but you get slightly less "out-of-the-box" in return, so mikrok8s may be more suitable for experience users / production edge deployments. Pools can be added, resized, and removed at any time. Node running the pod has a 13/13/13 on load with 4 procs. K3S is legit. K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. Both seem suitable for edge computing, KubeEdge has slightly more features but the documentation is not straightforward and it doesn't have as many resources as K3S. However, looking at reddit or GitHub it's hard to get any questions around k0s answered in-time. Everyone’s after k8s because “thats where the money is” but truly a lot of devs are more into moneymaking than engineering. What is the benefit of using k3s instead of k8s? Isn't k3s a stripped-down version for stuff like raspberry pis and low-power nodes, which can't run the full version? The k3s distribution of k8s has made some choices to slim it down but it is a fully fledged certified kubernetes distribution. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. Wanna try a few k8s versions quickly, easy! Hosed your cluster and need to start over, easy! Want a blank slate to try something new, easy! Before kind I used k3s but it felt more permanent and like something I needed to tend and maintain. charts helm apps k8s hacktoberfest k3s k8s-at-home So now I'm wondering if in production I should bother going for a vanilla k8s cluster or if I can easily simplify everything with k0s/k3s and what could be the advantages of k8s vs these other distros if any. Login to your GitHub account. However I'd probably use Rancher and K8s for on-prem production workloads. For a homelab you can stick to docker swarm. Cilium's "hubble" UI looked great for visibility. I'm sure this will change but I need something where I can rely on some basic support or community, this year. But that's just a gut feeling. Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. I don't regret spending time learning k8s the hard way as it gave me a good way to learn and understand the ins and outs. The same cannot be said for Nomad. If anything you could try rke2 as a replacement for k3s. That Solr Operator works fine on Azure AKS, Amazon EKS, podman-with-kind on this mac, podman-with-minikube on this mac. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. I know could spend time learning manifests better, but id like to just have services up and running on the k3s. If you are looking to run Kubernetes on devices lighter in resources, have a look at the table below. it requires a team of people k8s is essentially SDD (software defined data center) you need to manage ingress (load balancing) firewalls the virtual network you need to repackage your docker containers in to helm or kustomize. maintain and role new versions, also helm and k8s I use k3s as my petproject lab on Hetzner cloud Using terraform for provision network, firewall, servers and cloudflare records and ansible to provision etcd3 and k3s Master nodes: CPX11 x 3 for HA Working perfectly I have migrated from dockerswarm to k3s. My main duty is software development not system administration, i was looking for a easy to learn and manage k8s distro, that isn't a hassle to deal with, well documented, supported and quickly deployed. A subreddit run by Chris Short, author of the once popular DevOps'ish weekly newsletter, Kubernetes… It was a pain to enable each one that is excluded in k3s. I can't really decide which option to chose, full k8s, microk8s or k3s. Does anyone know of any K8s distros where Cilium is the default CNI? RKE2 with Fleet seems like a great option for GitOps/IaC-managed on-prem Kubernetes. File cloud: Nextcloud. How much K8s you need really depends on were you work: There are still many places that don't use K8s. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? I'm in the same boat with Proxmox machines (different resources, however) and wanting to set up a kubernetes type deployment to learn and self host. As a note you can run ingress on swarm. K3s has a similar issue - the built-in etcd support is purely experimental. I appreciate my comments might come across as overwhelmingly negative, that’s not my intention, I’m just curious what these extra services provide in a If skills are not an important factor than go with what you enjoy more. More than 150 million people use GitHub to discover, fork, and contribute to over 420 million projects. Playgrounds are also provided during the training. I read that Rook introduces a whooping ton of bugs in regards to Ceph - and that deploying Ceph directly is a much better option in regards to stability but I didn't try that myself yet. An upside of rke2: the control plane is ran as static pods. Use Nomad if works for you, just realize the trade-offs. This means they can be monitored and have their logs collected through normal k8s tools. Why do you say "k3s is not for production"? From the site: K3s is a highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances I'd happily run it in production (there are also commercial managed k3s clusters out there). I have been running k8s in production for 7 years. md at main · ehlesp/smallab-k8s-pve-guide On the other hand, using k3s vs using kind is just that k3s executes with containerd (doesn't need docker) and kind with docker-in-docker. A couple of downsides to note: you are limited to flannel cni (no network policy support), single master node by default (etcd setup is absent but can be made possible), traefik installed by default (personally I am old-fashioned and I prefer nginx), and finally upgrading it can be quite disruptive. quad core vs dual core Better performance in general DDR4 vs DDR3 RAM with the 6500T supporting higher amounts if needed The included SSD as m. So it shouldn't change anything related to the thing you want to test. But I cannot decide which distribution to use for this case: K3S and KubeEdge. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. I'm either going to continue with K3s in lxc, or rewrite to automate through vm, or push the K3s/K8s machines off my primary and into a net-boot configuration. We ask that you please take a minute to read through the rules and check out the resources provided before creating a post, especially if you are new here. Maybe someone here has more insights / experience with k3s in production use cases. Run K3s Everywhere. 04 use microk8s. Running over a year and finally passed the CKA with most of my practice on this plus work clusters. with CAPA, you need to pass a k8s version string like 1. But if you need a multi-node dev cluster I suggest Kind as it is faster. I was looking for a preferably light weight distro like K3s with Cilium. Contribute to cnrancher/autok3s development by creating an account on GitHub. I have it running various other things as well, but CEPH turned out to be a real hog r/k3s: Lightweight Kubernetes. Eventually they both run k8s it’s just the packaging of how the distro is delivered. But just that K3s might indeed be a legit production tool for so many uses cases for which k8s is overkill. 21. I actually have a specific use case in mind which is to give a container access to a host’s character device, without making it a privileged container. Used to deploy the app using docker-compose, then switched to microk8s, now k3s is the way to go. I am currently using Mozilla SOPS and AGE to encrypt my secrets and push them in git, in combination with some bash scripts to auto encrypt/decrypt my files. Automated Kubernetes update management via System Upgrade Controller. Thanks for sharing. I've noticed that my nzbget client doesn't get any more than 5-8MB/s. md at main · ehlesp/smallab-k8s-pve-guide Pi k8s! This is my pi4-8gb powered hosted platform. The NUC route is nice - but at over $200 a pop - that's well more than $2k large on that cluster. Does anyone know of any K8s distros where Cilium is the default CNI? A guide series explaining how to setup a personal small homelab running a Kubernetes cluster with VMs on a Proxmox VE standalone server node. RPi4 Cluster // K3S (or K8S) vs Docker Swarm? Raiding a few other projects I no longer use and I have about 5x RPi4s and Im thinking of (finally) putting together a cluster. Turns out that node is also the master and k3s-server process is destroying the local cpu: I think I may try an A/B test with another rke cluster to see if it's any better. Note: For setting up Kubernetes local development environment, there are two recommended methods. After setting up the Kubernetes cluster, the idea is to deploy in it the following. . I initially ran a fullblown k8s install, but have since moved to microk8s. I made the mistake of going nuts deep into k8s and I ended up spending more time on mgmt than actual dev. But that is a side topic. com Aug 14, 2023 路 Take a look at the post here on GitHub: Expose kube-scheduler, kube-proxy and kube-controller metrics endpoints · Issue #3619 · k3s-io/k3s (github. Why? Dunno. For example: if you just gave your dev teams VM’s, they’d install k8s the way they see fit, for any version they like, with any configuration they can, possibly leaving most ports open and accessible, and maybe even use k8s services of type NodePort. The only difference is k3s is a single-binary distribution. I have found it works excellent for public and personal apps. 3rd, things stil may fail in production but its totally unrelated to the tools you are using for local dev, but rather how deployment pipelines and configuration injection differ from local dev pipeline to real cluster pipeline. I run traefik as my reverse proxy / ingress on swarm. Mikrok8s fails the MetalLB requirement. Swarm mode is nowhere dead and tbh is very powerful if you’re a solo dev. With K3s, installing Cilium could replace 4 of installed components (Proxy, network policies, flannel, load balancing) while offering observably/security. Saved searches Use saved searches to filter your results more quickly If you really want to get the full blown k8s install experience, use kubadm, but I would automate it using ansible. There do pop up some production k3s articles from time to time but I didn't encounter one myself yet. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. - smallab-k8s-pve-guide/G025 - K3s cluster setup 08 ~ K3s Kubernetes cluster setup. It also has a hardened mode which enables cis hardened profiles. The mumshad mannambeth courses are really well packed. If you look for an immediate ARM k8s use k3s on a raspberry or alike. If you have an Ubuntu 18. While not a native resource like K8S, traefik runs in a container and I point DNS to the traefik container IP. Single master k3s with many nodes, one vm per physical machine. 4K subscribers in the devopsish community. Managing k8s in the baremetal world is a lot of work. My idea was to build a cluster using 3x raspberry PI 4 B (8GB seems the best option) and run K3s, but I dont know what would be the best idea for storage. AMA welcome! I started with home automations over 10 years ago, home-assistant and node-red, over time things have grown. I have both K8S clusters and swarm clusters. But maybe I was using it wrong. I will say this version of k8s works smoothly. Klipper's job is to interface with the OS' iptables tools (it's like a firewall) and Traefik's job is to be a proxy/glue b/w the outside and the inside. It's still fullblown k8s, but leaner and more effecient, good for small home installs (I've got 64 pods spread across 3 nodes) Also while k3s is small, it needs 512MB RAM and a Linux kernel. k3s; minikube; k3s + GitLab k3s is 40MB binary that runs “a fully compliant production-grade Kubernetes distribution” and requires only 512MB of RAM. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. This will enable your GitHub identity to use Single Sign On (SSO) for all of your applications. 04 or 20. vs K3s vs minikube Lightweight Kubernetes distributions are becoming increasingly popular for local development, edge/IoT container management and self-contained application deployments. Full k8s. If you need a bare metal prod deployment - go with Rancher k8s. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. And in case of problems with your applications, you should know how to debug K8S. Docker is a lot easier and quicker to understand if you don't really know the concepts. Most apps you can find docker containers for, so I easily run Emby, radarr, sonarr, sabnzbd, etc. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage.
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