K3s vs k8s reddit github. AMA welcome!
I am in the process of learning K8S.
K3s vs k8s reddit github. You signed out in another tab or window.
K3s vs k8s reddit github the k8s APIs are so predictable, that SDEs are almost free to pick their deployment and visualization tools themselves, we're not even tied to k8s-dashboard. Apr 11, 2024 · ServiceLB is an add-on (mostly specific to K3s), only adding a couple of extra rules per LoadBalanced service to handle external traffic. It seems quite viable too but I like that k3s runs on or in, anything. It cannot and does not consume any less resources. Since k3s is coming lots of out of the box features like load balancing, ingress etc. K8S is the industry stand, and a lot more popular than Nomad. com Mar 13, 2025 · use the following search parameters to narrow your results: subreddit:subreddit find submissions in "subreddit" author:username find submissions by "username" site:example. 💚k8s-image-swapper 🔥🔥 - k8s-image-swapper is a mutating webhook for Kubernetes, downloading images into your own registry and pointing the images to that new location. Argocd+Helm templates/kustomize is the real thing. appleboy: 1321: 9: telepresence: Local development against a remote Kubernetes or Feb 26, 2021 · Exactly, I am looking k3s deployment for edge device. it'll also manage the k3d cluster and git repos with terraform thats been automated with atlantis. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? This is a great tool for poking the cluster, and it plays nicely with tmux… but most of the time it takes a few seconds to check something using aliases in the shell to kubectl commands, so it isn’t worth the hassle. Cilium's "hubble" UI looked great for visibility. GitHub Actions/Jenkins/Git Lab pipeline with bash. If anything you could try rke2 as a replacement for k3s. k3s vs microk8s vs k0s and thoughts about their future I need a replacement for Docker Swarm. 2 Ghz, 1 GB RAM 4 Ubuntu VMs running on KVM, 2 vCPUs, 4 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. It's a complex system but the basic idea is that you can run containers on multiple machines (nodes). 25. Currently I am evaluating running docker vs k3s in edge setup. Trust me, it can be a hell if you get stuck with your etcd for a couple of hours. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. So all our secrets are managed in Hashicorp Vault, but we can declare secrets in a relatively normal way inside our git repos, without exposing the secret in git. For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). Docker is a lot easier and quicker to understand if you don't really know the concepts. on my team we recently did a quick tour of several options, given that you're on a mac laptop and don't want to use docker desktop. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. I use helm, or yaml files to make deployments but they all fail for one reason or another. It is a fully fledged k8s without any compromises. @sraillard This is exactly what surprises me when I read about people using k8s and k3s for IoT/edge projects. active-standby mode). 4, whereas longhorn only supports up to v1. Oracle Cloud actually gives you free ARM servers in total of 4 cores and 24G memory so possible to run 4 worker nodes with 1 core 6G each or 2 worker nodes with 2 cores and 12GB memory eachthen those of which can be used on Oracle Kubernetes Engine as part of the node pool, and the master node itself is free, so you are technically Our current choice is Flatcar Linux: deploy with ignition, updates via A/B partition, nice k8s integration with update operator, no package manager - so no messed up OS, troubleshooting with toolbox container which we prepull via DaemonSet, responsive community in Slack and Github issues. My goals are to setup some Wordpress sites, vpn server, maybe some scripts, etc. Digital Rebar supports RPi clusters natively, along with K8s and K3s deployment to them. Obviously you can port this easy to Gmail servers (I don’t use any Google services). Eventually they both run k8s it’s just the packaging of how the distro is delivered. While not a native resource like K8S, traefik runs in a container and I point DNS to the traefik container IP. 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. I run traefik as my reverse proxy / ingress on swarm. Also, following K3s instructions, when I deploy the nvidia kubernetes plugin I get the following logs: I0724 08:38:40. io (and k3d. 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. The advantage of HeadLamp is that it can be run either as a desktop app, or installed in a cluster. No real value in using k8s (k3s, rancher, etc) in a single node setup. rke2 is a production grade k8s. K3s and all of these actually would be a terrible way to learn how to bootstrap a kubernetes cluster. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. Running over a year and finally passed the CKA with most of my practice on this plus work clusters. A local buildx runner is just a local container (vs. Having done some reading, I've come to realize that there's several distributions of it (K8s, K3s, K3d, K0s, RKE2, etc. I do recommend you run self managed k8s clusters in some environments, but a high pressure prod environment is just a risk not worth taking. I would opt for a k8s native ingress and Traefik looks good. Plus k8s@home went defunct. it'll also establish a Rancher K3s Kubernetes distribution for building the small Kubernetes cluster with KVM virtual machines run by the Proxmox VE standalone node. I am running openSUSE MicroOS with k3s managed via Saltstack on the Baremetal and FluxCD/Weave GitOps. Single master k3s with many nodes, one vm per physical machine. I use gitlab runners with helmfile to manage my applications. The computers we're using at the edge are much less Not bad per se, but there's a lot of people out there not using it correctly or keeping it up-to-date. With k3s you get the benefit of a light kubernetes and should be able to get 6 small nodes for all your apps with your cpu count. I've noticed that my nzbget client doesn't get any more than 5-8MB/s. K8s management is not trivial. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. Building clusters on your behalf using RKE1/2 or k3s or even hosted clusters like EKS, GKE, or AKS. It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. 04LTS on amd64. Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. However K8s offers features and extensibility that allow more complex system setups, which is often a necessity. NVME will have a major impact on how much time your CPU is spending in IO_WAIT. I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. Dec 20, 2019 · k3s-io/k3s#294. I was looking for a solution for storage and volumes and the most classic solution that came up was longhorn, I tried to install it and it works but I find myself rather limited in terms of resources, especially as longhorn requires several replicas to work 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. I fully agree that boring is good. I have mixed feelings with k8s, tried several times to move our IT to k8s or even k3s, failed miserably, no tutorials how to just get your service running with traefik. 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. k3s (and k3d) Website: k3s. i tried kops but api K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. com; If you're interested in this project and would like to help in engineering efforts or have general usage questions, we are happy to have you! 27 votes, 37 comments. It is very very stable. so i came to conclusion of three - k0s, k3s or k8s and now it is like either k3s or k8s to add i am looking for a dynamic way to add clusters without EKS & by using automation such as ansible, vagrant, terraform, plumio as you are k8s operator, why did you choose k8s over k3s? what is easiest way to generate a cluster. For this to work, your home DNS server must be configured to forward DNS queries for ${cloudflare_domain} to ${cluster_dns_gateway_addr} instead of the upstream DNS server(s) it normally uses. go:154] Starting FS watcher. 04 or 20. For K3S it looks like I need to disable flannel in the k3s. So it can seem pointless when setting up at home with a couple of workers. K8s Distributions KubeEdge, k3s K8s, k3s, FLEDGE K8s, MicroK8s, k3s K8s, MicroK8s, k3s K8s, MicroK8s, k3s K8s (KubeSpray), MicroK8s, k3s Test Environment 2 Raspberry Pi 3+ Model B, Quad Core 1,2 Ghz, 1 GB RAM, 32 GB MicroSD AMD Opteron 2212, 2Ghz, 4 GB RAM + 1 Raspberry Pi 2, Quad Core, 1. R. (no problem) As far as I know microk8s is standalone and only needs 1 node. io) GitHub repository: k3s-io/k3s (rancher/k3d) GitHub stars: ~17,800 (~2800) Contributors: 1,750+ (50+) First commit: January 2019 (April 2019) Key developer: CNCF (Rancher) Supported K8s versions: 1. Maybe someone here has more insights / experience with k3s in production use cases. 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 Kuberay consists of: helm-chart/ - helm charts for the apiserver, operator and a ray-cluster (recommended) ray-operator/config/ - kustomize templates, which seem more up to date than the helm charts. K3s is going to be a lot lighter on resources and quicker than anything that runs on a VM. Its primary objectives are to efficiently carry out the intended service functions while also serving as a valuable reference for individuals looking to enhance their own Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. 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. Mirantis will probably continue to maintain it and offer it to their customers even beyond its removal from upstream, but unless your business model depends on convincing people that the Docker runtime itself has specific value as Kubernetes backend I can’t imagine Now config files for all the infrastructure live in a git repo and I can rollback and edit things very simply. Which complicates things. Have a nice day ! See full list on github. Node running the pod has a 13/13/13 on load with 4 procs. It uses DID (Docker in Docker), so doesn't require any other technology. My suggestion as someone that learned this way is to buy three surplus workstations (Dell optiplex or similar, could also be raspberry pis) and install Kubernetes on them either k3s or using kubeadm. Swarm mode is nowhere dead and tbh is very powerful if you’re a solo dev. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. Contribute to kubernetes-sigs/kubespray development by creating an account on GitHub. 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 Simplest way I'm my opinion is to have a coupled CI/CD solution. If you have an Ubuntu 18. For a homelab you can stick to docker swarm. I don't know if k3s, k0s that do provide other backends, allow that one in particular (but doubt) Learner Here, Starting a small project and would like to learn and implement CICD for a project . 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 I can't really decide which option to chose, full k8s, microk8s or k3s. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. Counter-intuitive for sure. Hi. 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. And everyone posting on Reddit has strong (often ambiguously derived) opinions about which tools are best to combine in which ways. Reload to refresh your session. true. 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. Mar 10, 2023 · Well, pretty much. 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. Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ Haha, yes - on-prem storage on Kuberenetes is a whooping mess. But if you are in a team of 5 k8s admins, all 5 need to know everything in-and-out? One would be sufficient if this one create a Helm chart which contains all the special knowledge how to deploy an application into your k8s cluster. Try Oracle Kubernetes Engine. When most people think of Kubernetes, they think of containers automatically being brought up on other nodes (if the node dies), of load balancing between containers, of isolation and rolling deployments - and all of those advantages are the same between "full-fat" K8s vs. Need some help in deciding a CICD tool for getting things started for a web app project which relies almost AWS Infra (Server less). Rancher can manage a k8s cluster (and can be deployed as containers inside a k8s cluster) that can be deployed by RKE to the cluster it built out. Sep 13, 2021 · 4. The k8s pond goes deep, especially when you get into CKAD and CKS. K0s vs K3s Time has passed and kubernetes relies a lot more in the efficient watches that it provides, I doubt you have a chance with vanilla k8s. Jan 17, 2024 · I'm in the process of building a bare-metal k3s cluster and I'm trying to understand the differences around when I would need to use something like MetalLB instead of the built-in ServiceLB. 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. I know some people are using the bitnami Sealed Secrets Operator, but I personally never really liked that setup. The only difference is k3s is a single-binary distribution. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. I’m sure this has a valid use case, but I’m struggling to understand what it is in this context. In particular, I need deployments without downtimes, being more reliable than Swarm, stuff like Traefik (which doesn't exist for Docker Swarm with all the features in a k8s context, also Caddy for Docker wouldn't work) and being kind of future-proof. K8S has a lot more features and options and of course it depends on what you need. For use case context, my cluster will be primarily receiving sensor readings via MQTT via VerneMQ . Recently set up my first k8s cluster on multiple nodes, currently running on two, with plans of adding more in the near future. Standard k8s requires 3 master nodes and then client l/worker nodes. I have 2 spare RP4 here that I would like to setup as a K3S cluster. I probably should change the Storageclass to delete, but I would prefer if the pods weren't remove at all I probably should change the Storageclass to delete, but I would prefer if the pods weren't remove at all bootstrap K3s over SSH in < 60s 🚀. If you look for an immediate ARM k8s use k3s on a raspberry or alike. I agree that if you are a single admin for a k8s cluster, you basically need to know it in-and-out. I am more inclined towards k3s but wondering about it’s reliability, stability and performance in single node cluster. It was called dockershim. 24? the k3s local-storage which is not ideal but CNPG will schedule a pod on the same node. ). Also, I'd looked into microk8s around two years ago. Every single one of my containers is stateful. Best OS Distro on a PI4 to run for K3S ? Can I cluster with just 2 PI's ? Best option persistence storage options - a - NFS back to NAS b- iSCSI back to NAS ?? personally, and predominantly on my team, minikube with hyperkit driver. I can get a working cluster, but nothing actually functions on it. Lightweight git server: Gitea. So then I was maintaining my own helm charts. Aug 8, 2024 · However, unlike k8s, there is no “unabbreviated” word form of k3s. It provides a VM-based Kubernetes environment. Before my words I have to tell I really like k3s and rancher to. Jul 6, 2021 · Saved searches Use saved searches to filter your results more quickly k8s_gateway will provide DNS resolution to external Kubernetes resources (i. I'm currently running most services on a Docker Swarm via GitHub and Portainer using a mixed bag of nodes, and it generally works. Everyone’s after k8s because “thats where the money is” but truly a lot of devs are more into moneymaking than engineering. From reading online kind seems less poplar than k3s/minikube/microk8s though. 04 use microk8s. I use iCloud mail servers for Ubuntu related mail notifications, like HAProxy loadbalancer notifications and server unattended upgrades. The reason I prefer SOPS w/ AGE ov Really appreciate the write-up on this. We use ArgoCD for all things deployed and the ArgoCD vault plug-in to get our secrets created on cluster. github has its own buildx cache type that (I think) uses the CI registry for its work) It does impact the local image build experience. com Oct 24, 2019 · Some people have asked for brief info on the differences between k3s and k8s. But I cannot decide which distribution to use for this case: K3S and KubeEdge. com). Jun 30, 2023 · Developed by Rancher, for mainly IoT and Edge devices. Production ready, easy to install, half the memory, all in a binary less than 100 MB. File cloud: Nextcloud. I got some relevant documentation of using jupyter on a local host. In both approaches, kubeconfig is configured automatically and you can execute commands directly inside the runner My take on docker swarm is that its only benefit over K8s is that its simpler for users, especially if users already have experience with only with docker. And the distributed etcd database means my fault tolerance is much greater. 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. So it shouldn't change anything related to the thing you want to test. But maybe I was using it wrong. 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. Currently running fresh Ubuntu 22. Sorry for your experience with Longhorn, but if possible, we want to know about it. . 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. Some people talk about k8s as a silver bullet for everything plus the microservices are both the new way to go on every project. Pi k8s! This is my pi4-8gb powered hosted platform. K3S seems more straightforward and more similar to actual Kubernetes. When folks say "kubernetes" they're usually referring to k8s + 17 different additional software projects all working in concert. Sep 12, 2023 · Before that, here are a few differences between the K3s and K8s: K3s is a lighter version of K8, which has more extensions and drivers. You‘d probably run two machines with haproxy and keepalived to make sure your external LB is also HA ( aka. K3s uses less memory, and is a single process (you don't even need to install kubectl). I use K3S heavily in prod on my resource constricted clusters. There do pop up some production k3s articles from time to time but I didn't encounter one myself yet. 5-turbo model) and automatically installs a git prepare-commit-msg hook. 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). You signed out in another tab or window. 💚Kubero 🔥🔥🔥🔥🔥 - A free and self-hosted Heroku PaaS alternative for Kubernetes that implements GitOps Use k3s for your k8s cluster and control plane. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. If skills are not an important factor than go with what you enjoy more. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. Virtualization is more ram intensive than cpu. It also has a hardened mode which enables cis hardened profiles. I'd say it's better to first learn it before moving to k8s. [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. 21 Dec 5, 2019 · However for my use cases (mostly playing around with tools that run on K8s) I could fully replace it with kind due to the quicker setup time. Dolt – Git for Data: dolthub: 18234: 8: CodeGPT: A CLI written in Go language that writes git commit messages or do a code review brief for you using ChatGPT AI (gpt-4o, gpt-4-turbo, gpt-3. I made the mistake of going nuts deep into k8s and I ended up spending more time on mgmt than actual dev. 👍 1 rofleksey reacted with thumbs up emoji All reactions Jan 27, 2025 · You signed in with another tab or window. RAM: my testing on k3s (mini k8s for the 'edge') seems to need ~1G on a master to be truly comfortable (with some addon services like metallb, longhorn), though this was x86 so memory usage might vary somewhat slightly vs ARM. k9s is a CLI/GUI with a lot of nice features. I have both K8S clusters and swarm clusters. I’ve seen similar improvements when I moved my jail from HDD to NVME pool, but your post seems to imply that Docker is much easier on your CPU when compared to K3s, that by itself doesn’t make much sense knowing that K3s is a lightweight k8s distribution. I use it for Rook-Ceph at the moment. k8s has quality auth and RBAC built in, I can already give my Devs well-managed, restricted accounts on the backplane. I think you've hit the nail on the head referring to the 'metaverse'. 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). Dec 27, 2024 · K3s vs K8s. There is more options for cni with rke2. Atm I am only doing an SSH into the hosts when I want to check something in the filesystem. I've tried things from minikube, to rancher, to k3s, and everything falls short at the same point. We would like to show you a description here but the site won’t allow us. I believe I should have all these same benefits with Proxmox, which is why I asked the question initially. 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. I started with home automations over 10 years ago, home-assistant and node-red, over time things have grown. This includes: Creating all the necessary infrastructure resources (instances, placement groups, load balancer, private network, and firewall). This is the command I used to install my K3s, the datastore endpoint is because I use an external MySQL database so that the cluster is composed of hybrid control/worker nodes that are theoretically HA. k3s. The thing is it's still not the best workflow to wait for building local images (even if I optimized my Dockerfile on occasion builds would take long) but for this you can use mirrord to run your code localy but connecting your service's IO to a pod inside of k8s that doesn't have to run locally but rather can be a shared environment so you don That is not k3s vs microk8s comparison. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. The Elemental Operator and the Rancher System Agent enable Rancher Manager to fully control Elemental clusters, from the installation and management of the OS on the Nodes to the provisioning of new K3s or RKE2 clusters in a centralized way. It is easy to install and requires minimal configuration. After setting up the Kubernetes cluster, the idea is to deploy in it the following. K3s would be great for learning how to be a consumer of kubernetes which sounds like what you are trying to do. a remote one), so build results are local to the runner itself. Source of truth is a private Git repository on gitlab. You would forward raw TCP in the HAProxies to your k8s-API (on port 6443). Too much work. It's quite overwhelming to me tbh. The advantage of VS Code's kubernetes extension is that it does basically everything that Lens did, and it works in VS Code, if that's your tool of choice. Not sure if people in large corporates that already have big teams just for How often have we debugged problems relate to k8s routing, etcd (a k8s component) corruption, k8s name resolution, etc where compose would either not have the problem or is much easier to debug. This depends on what you want to run on your homelab and what your learning goals are. k3s; minikube; k3s + GitLab k3s is 40MB binary that runs “a fully compliant production-grade Kubernetes distribution” and requires only 512MB of RAM. So, while K8s often takes 10 minutes to deploy, K3s can execute the Kubernetes API in as little as one minute, is faster to start up, and is easier to auto-update and learn. 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. 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. I had a full HA K3S setup with metallb, and longhorn …but in the end I just blew it all away and I, just using docker stacks. It can work on most modern Linux systems. Managing k8s in the baremetal world is a lot of work. Deploy a Production Ready Kubernetes Cluster. We should manually edit nodes and virtual machines for multiple K8S servers. I run three independent k3s clusters for DEV (bare metal), TEST (bare metal) and PROD (in a KVM VM) and find k3s works extremely well. The same cannot be said for Nomad. Note: For setting up Kubernetes local development environment, there are two recommended methods. Correct, the component that allowed Docker to be used as a container runtime was removed from 1. 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 Mar 8, 2021 · 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). 17—1. But if you need a multi-node dev cluster I suggest Kind as it is faster. From there, really depends on what services you'll be running. Dev code and helm charts in the same mono repo. There's also a lot of management tools available (Kubectl, Rancher, Portainer, K9s, Lens, etc. Deploying k3s to the nodes. I have it running various other things as well, but CEPH turned out to be a real hog The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. In short: k3s is a distribution of K8s and for most purposes is basically the same and all skills transfer. Follow our Quickstart or see the full docs for more info. Services like Azure have started offering k8s "LTS" but it comes with a cost. Esentially create pods and access it via exec -it command with bash. In the abstract, a K8s "LoadBalancer" is just some method to map an external IP address to a cluster IP and to report that external IP back to the control plane. I do like the RKE and K3S distributions but using the Rancher UI to deploy apps maybe an awesome way to learn K8S but you really want the entire config in GIT. Hello, I'm setting up a small infra k3s as i have limited spec, one machine with 8gb ram and 4cpu, and another with 16gb ram and 8cpu. I'm trying to learn Kubernetes. e. Contribute to alexellis/k3sup development by creating an account on GitHub. points of entry to the cluster) from any device that uses your home DNS server. There are few differences but we would like to at a high level explain anything of relevance. vs K3s vs minikube Lightweight Kubernetes distributions are becoming increasingly popular for local development, edge/IoT container management and self-contained application deployments. I'd looked into k0s and wanted to like it but something about it didn't sit right with me. x, with seemingly no eta on when support is to be expected, or should I just reinstall with 1. Hi I am currently working in a lab who use Kubernetes. AMA welcome! I am in the process of learning K8S. If you are looking to run Kubernetes on devices lighter in resources, have a look at the table below. 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. You switched accounts on another tab or window. 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 However I'd probably use Rancher and K8s for on-prem production workloads. Why? Dunno. With hetzner-k3s, setting up a highly available k3s cluster with 3 master nodes and 3 worker nodes takes only 2-3 minutes. This homelab repository is aimed at applying widely-accepted tools and established practices within the DevOps/SRE world. 8 pi4s for kubeadm k8s cluster, and one for a not so 'nas' share. Aug 14, 2023 · 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. 23 votes, 48 comments. K3s 和 K8s 的主要区别在于： 轻量性：K3s 是 Kubernetes 的轻量版，专为资源受限的环境设计，而 K8s 是功能丰富、更加全面的容器编排工具。 适用场景：K3s 更适合边缘计算（Edge Computing）和物联网（IoT）应用，而 K8s 则更适用于大规模生产部署。 k8s_gateway, this immediately sounds like you’re not setting up k8s services properly. K8s has a frequent release cycle and to do it right usually means a good chunk of a person's time, and an entire team of people in a larger company. k3s is also distributed as a dependency-free, single binary. If you want to distribute containers across multiple hosts then K8S (or K3S) can be nicer than just managing containers imperatively. 24. So would like to hear some thoughts on which tool should I be considering for a smal kubefirst local will set up a k3d multinode cluster for you locally, then create a gitops git repository and push it to your personal github for you to bootstrap that cluster with a complete platform using argocd gitops. 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 been running k8s in production for 7 years. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. The NUC route is nice - but at over $200 a pop - that's well more than $2k large on that cluster. If you don't need as much horsepower, you might consider a Raspberry Pi cluster with K8s/K3s. I was planning on using longhorn as a storage provider, but I've got kubernetes v1. Most of the things that aren't minikube need to be installed inside of a linux VM, which I didn't think would be so bad but created a lot of struggles for us, partly bc the VMs were then K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. com that has both Salt States and k8s But just that K3s might indeed be a legit production tool for so many uses cases for which k8s is overkill. Lens provides a nice GUI for accessing your k8s cluster. If your goal is to learn about container orchestrators, I would recommend you start with K8S. If you are working in an environment with a tight resource pool or need an even quicker startup time, K3s is definitely a tool you should consider. Like gitops. Despite claims to the contrary, I found k3s and Microk8s to be more resource intensive than full k8s. maintain and role new versions, also helm and k8s 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. Grab a k8s admin book, or read the official, and its a bit daunting. Now I’m working with k8s full time and studying for the CKA. But that's just a gut feeling. Full k8s. K8S is very abstract, even more so than Docker. It also supports remote build caches (OCI/image registries, filesystem. there’s a more lightweight solution out there: K3s It is not more lightweight. I believe the audience in r/kubernetes is very wide and you just need to find the right target group. r/k3s: Lightweight Kubernetes. May 13, 2022 · 眼尖的用戶應該馬上就認出它了, 對！就是MicroK8s, 它算是非常輕量也低維運的一種K8s, 它可以單機執行也可以加入多個節點, 具備高可用性的特點, 跟k3s 十分相似卻略有不同, k3s在ARM架構的機器上, 有特別優化並且可以跑在32bits的環境之上, 對於一些環境上有限制的 Hello, I've been struggling for a while now trying it teach myself kubernetes in my homelab. 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. 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. Hopefully a few fairly easy (but very stupid questions). But I've been contemplating moving to k8s (for the experience and also better handling of some components when running across multiple nodes). Provides validations in real time of your configuration files, making sure you are using valid YAML, the right schema version (for base K8s and CRD), validates links between resources and to images, and also provides validation of rules in real-time (so you never forget again to add the right label or the CPU limit to your pod description). Rancher is more built for managing clusters at scale, IE connecting your cluster to an auth source like AD, LDAP, GitHub, Okta, etc. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. 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. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. I know k8s needs master and worker, so I'd need to setup more servers. So what are the differences in using k3s? Support: Questions, bugs, feature requests GitHub Discussions; Slack: Join our slack channel; Forum: community; Twitter: @SideroLabs; Email: info@SideroLabs. Then reinstall it with the flags. This is a shitty thing to avoid every time you can. Hey, this is Sheng from Longhorn team. 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 RKE can set up a fully functioning k8s cluster from just a ssh connection to a node(s) and a simple config file. Use Nomad if works for you, just realize the trade-offs. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. 629293 1 main. 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 K8s is short for Kubernetes, it's a container orchestration platform. As a note you can run ingress on swarm. But getting comfortable with K8S can be a long learning journey, so the benefits of K8S come at a meaningful cost. This can help with scaling out applications and achieving High Availability (HA). But the advantage is that if your application runs on a whole datacenter full of servers you can deploy a full stack of new software, with ingress controllers, networking, load balancing etc to a thousand physical servers using a single configuration file and one command. 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 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. It helps engineers achieve a close approximation of production infrastructure while only needing a fraction of the compute, config, and complexity, which all result in faster runtimes. zvuylsbvsessfoexninojjqywlixcdbztyvrmoqcodxuhngtlsiufgeymagmagqhstdzakhymuaxbmglwz
