K3s vs k8s reddit github 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. 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 think you've hit the nail on the head referring to the 'metaverse'. I know k8s needs master and worker, so I'd need to setup more servers. It is very very stable. Building clusters on your behalf using RKE1/2 or k3s or even hosted clusters like EKS, GKE, or AKS. Follow our Quickstart or see the full docs for more info. I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. Deploy a Production Ready Kubernetes Cluster. 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. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. 23 votes, 48 comments. 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. For a homelab you can stick to docker swarm. Source of truth is a private Git repository on gitlab. k9s is a CLI/GUI with a lot of nice features. It can work on most modern Linux systems. 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. Sorry for your experience with Longhorn, but if possible, we want to know about it. 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. No real value in using k8s (k3s, rancher, etc) in a single node setup. Sep 13, 2021 · 4. File cloud: Nextcloud. 👍 1 rofleksey reacted with thumbs up emoji All reactions Jan 27, 2025 · You signed in with another tab or window. 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). Use Nomad if works for you, just realize the trade-offs. Contribute to alexellis/k3sup development by creating an account on GitHub. Plus k8s@home went defunct. 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. 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. 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. 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. But I've been contemplating moving to k8s (for the experience and also better handling of some components when running across multiple nodes). Lens provides a nice GUI for accessing your k8s cluster. 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. Also, I'd looked into microk8s around two years ago. 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. Grab a k8s admin book, or read the official, and its a bit daunting. With hetzner-k3s, setting up a highly available k3s cluster with 3 master nodes and 3 worker nodes takes only 2-3 minutes. 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. 24. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. Need some help in deciding a CICD tool for getting things started for a web app project which relies almost AWS Infra (Server less). 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. k3s; minikube; k3s + GitLab k3s is 40MB binary that runs “a fully compliant production-grade Kubernetes distribution” and requires only 512MB of RAM. If anything you could try rke2 as a replacement for k3s. 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. Single master k3s with many nodes, one vm per physical machine. Trust me, it can be a hell if you get stuck with your etcd for a couple of hours. e. 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 cannot and does not consume any less resources. 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 goals are to setup some Wordpress sites, vpn server, maybe some scripts, etc. Node running the pod has a 13/13/13 on load with 4 procs. K8S is the industry stand, and a lot more popular than Nomad. And the distributed etcd database means my fault tolerance is much greater. 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). K3S seems more straightforward and more similar to actual Kubernetes. 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. Hi. We would like to show you a description here but the site won’t allow us. 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. K8S is very abstract, even more so than Docker. Pi k8s! This is my pi4-8gb powered hosted platform. 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. Digital Rebar supports RPi clusters natively, along with K8s and K3s deployment to them. 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. K3s and all of these actually would be a terrible way to learn how to bootstrap a kubernetes cluster. Eventually they both run k8s it’s just the packaging of how the distro is delivered. K3s is going to be a lot lighter on resources and quicker than anything that runs on a VM. (no problem) As far as I know microk8s is standalone and only needs 1 node. Despite claims to the contrary, I found k3s and Microk8s to be more resource intensive than full k8s. k8s has quality auth and RBAC built in, I can already give my Devs well-managed, restricted accounts on the backplane. Production ready, easy to install, half the memory, all in a binary less than 100 MB. 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. Before my words I have to tell I really like k3s and rancher to. 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 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. @sraillard This is exactly what surprises me when I read about people using k8s and k3s for IoT/edge projects. I use K3S heavily in prod on my resource constricted clusters. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. There are few differences but we would like to at a high level explain anything of relevance. Try Oracle Kubernetes Engine. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). 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. Managing k8s in the baremetal world is a lot of work. If skills are not an important factor than go with what you enjoy more. When folks say "kubernetes" they're usually referring to k8s + 17 different additional software projects all working in concert. 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. 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. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. 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. 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. This includes: Creating all the necessary infrastructure resources (instances, placement groups, load balancer, private network, and firewall). 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). You would forward raw TCP in the HAProxies to your k8s-API (on port 6443). Services like Azure have started offering k8s "LTS" but it comes with a cost. io (and k3d. Everyone’s after k8s because “thats where the money is” but truly a lot of devs are more into moneymaking than engineering. 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. I am running openSUSE MicroOS with k3s managed via Saltstack on the Baremetal and FluxCD/Weave GitOps. 25. I've noticed that my nzbget client doesn't get any more than 5-8MB/s. 04LTS on amd64. So it can seem pointless when setting up at home with a couple of workers. 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. Like gitops. com). 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. 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. Jun 30, 2023 · Developed by Rancher, for mainly IoT and Edge devices. 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. 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. It is easy to install and requires minimal configuration. But maybe I was using it wrong. 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 agree that if you are a single admin for a k8s cluster, you basically need to know it in-and-out. Full k8s. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. Now I’m working with k8s full time and studying for the CKA. 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. I've tried things from minikube, to rancher, to k3s, and everything falls short at the same point. For K3S it looks like I need to disable flannel in the k3s. This can help with scaling out applications and achieving High Availability (HA). GitHub Actions/Jenkins/Git Lab pipeline with bash. I'd say it's better to first learn it before moving to k8s. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. The only difference is k3s is a single-binary distribution. Argocd+Helm templates/kustomize is the real thing. I use helm, or yaml files to make deployments but they all fail for one reason or another. 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 🚀. 💚Kubero 🔥🔥🔥🔥🔥 - A free and self-hosted Heroku PaaS alternative for Kubernetes that implements GitOps Use k3s for your k8s cluster and control plane. I made the mistake of going nuts deep into k8s and I ended up spending more time on mgmt than actual dev. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. Recently set up my first k8s cluster on multiple nodes, currently running on two, with plans of adding more in the near future. K8s management is not trivial. Some people talk about k8s as a silver bullet for everything plus the microservices are both the new way to go on every project. 8 pi4s for kubeadm k8s cluster, and one for a not so 'nas' share. I’m sure this has a valid use case, but I’m struggling to understand what it is in this context. While not a native resource like K8S, traefik runs in a container and I point DNS to the traefik container IP. If you look for an immediate ARM k8s use k3s on a raspberry or alike. 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. Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ Haha, yes - on-prem storage on Kuberenetes is a whooping mess. Counter-intuitive for sure. appleboy: 1321: 9: telepresence: Local development against a remote Kubernetes or Feb 26, 2021 · Exactly, I am looking k3s deployment for edge device. 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 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. 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. The advantage of HeadLamp is that it can be run either as a desktop app, or installed in a cluster. As a note you can run ingress on swarm. 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. Cilium's "hubble" UI looked great for visibility. 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. The NUC route is nice - but at over $200 a pop - that's well more than $2k large on that cluster. 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. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. 04 or 20. Why? Dunno. Correct, the component that allowed Docker to be used as a container runtime was removed from 1. 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. k3s (and k3d) Website: k3s. We use ArgoCD for all things deployed and the ArgoCD vault plug-in to get our secrets created on cluster. Deploying k3s to the nodes. Have a nice day ! See full list on github. Which complicates things. Hi I am currently working in a lab who use Kubernetes. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. Currently running fresh Ubuntu 22. From reading online kind seems less poplar than k3s/minikube/microk8s though. Contribute to kubernetes-sigs/kubespray development by creating an account on GitHub. But that's just a gut feeling. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. 4, whereas longhorn only supports up to v1. I know some people are using the bitnami Sealed Secrets Operator, but I personally never really liked that setup. 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. I was planning on using longhorn as a storage provider, but I've got kubernetes v1. i tried kops but api K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. 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. I fully agree that boring is good. 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. com Oct 24, 2019 · Some people have asked for brief info on the differences between k3s and k8s. points of entry to the cluster) from any device that uses your home DNS server. I would opt for a k8s native ingress and Traefik looks good. I got some relevant documentation of using jupyter on a local host. You‘d probably run two machines with haproxy and keepalived to make sure your external LB is also HA ( aka. 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. If you have an Ubuntu 18. Note: For setting up Kubernetes local development environment, there are two recommended methods. 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. Mar 10, 2023 · Well, pretty much. AMA welcome! I am in the process of learning K8S. 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. Atm I am only doing an SSH into the hosts when I want to check something in the filesystem. It's quite overwhelming to me tbh. But I cannot decide which distribution to use for this case: K3S and KubeEdge. 17—1. You signed out in another tab or window. 💚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. 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. . Hey, this is Sheng from Longhorn team. there’s a more lightweight solution out there: K3s It is not more lightweight. K3s uses less memory, and is a single process (you don't even need to install kubectl). 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. Dec 20, 2019 · k3s-io/k3s#294. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. K3s would be great for learning how to be a consumer of kubernetes which sounds like what you are trying to do. If your goal is to learn about container orchestrators, I would recommend you start with K8S. Running over a year and finally passed the CKA with most of my practice on this plus work clusters. Esentially create pods and access it via exec -it command with bash. R. Too much work. However K8s offers features and extensibility that allow more complex system setups, which is often a necessity. r/k3s: Lightweight Kubernetes. 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 . Dec 27, 2024 · K3s vs K8s. 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. Lightweight git server: Gitea. But if you need a multi-node dev cluster I suggest Kind as it is faster. Standard k8s requires 3 master nodes and then client l/worker nodes. 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. 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. I started with home automations over 10 years ago, home-assistant and node-red, over time things have grown. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. I am more inclined towards k3s but wondering about it’s reliability, stability and performance in single node cluster. It is a fully fledged k8s without any compromises. I have both K8S clusters and swarm clusters. Maybe someone here has more insights / experience with k3s in production use cases. Dev code and helm charts in the same mono repo. I run traefik as my reverse proxy / ingress on swarm. active-standby mode). It provides a VM-based Kubernetes environment. Docker is a lot easier and quicker to understand if you don't really know the concepts. 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 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. Virtualization is more ram intensive than cpu. Reload to refresh your session. K8S has a lot more features and options and of course it depends on what you need. Aug 8, 2024 · However, unlike k8s, there is no “unabbreviated” word form of k3s. 04 use microk8s. 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. 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. 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. 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. I believe the audience in r/kubernetes is very wide and you just need to find the right target group. 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. k3s vs microk8s vs k0s and thoughts about their future I need a replacement for Docker Swarm. Rancher is more built for managing clusters at scale, IE connecting your cluster to an auth source like AD, LDAP, GitHub, Okta, etc. 24? the k3s local-storage which is not ideal but CNPG will schedule a pod on the same node. Also, following K3s instructions, when I deploy the nvidia kubernetes plugin I get the following logs: I0724 08:38:40. 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. In short: k3s is a distribution of K8s and for most purposes is basically the same and all skills transfer. We should manually edit nodes and virtual machines for multiple K8S servers. The k8s pond goes deep, especially when you get into CKAD and CKS. I use gitlab runners with helmfile to manage my applications. Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. From there, really depends on what services you'll be running. Since k3s is coming lots of out of the box features like load balancing, ingress etc. The same cannot be said for Nomad. Having done some reading, I've come to realize that there's several distributions of it (K8s, K3s, K3d, K0s, RKE2, etc. ). 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. Swarm mode is nowhere dead and tbh is very powerful if you’re a solo dev. 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. 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. I'd looked into k0s and wanted to like it but something about it didn't sit right with me. 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. 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. 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. Hopefully a few fairly easy (but very stupid questions). If you are looking to run Kubernetes on devices lighter in resources, have a look at the table below. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. And everyone posting on Reddit has strong (often ambiguously derived) opinions about which tools are best to combine in which ways. There is more options for cni with rke2. true. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. 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. 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. There's also a lot of management tools available (Kubectl, Rancher, Portainer, K9s, Lens, etc. x, with seemingly no eta on when support is to be expected, or should I just reinstall with 1. There do pop up some production k3s articles from time to time but I didn't encounter one myself yet. 629293 1 main. rke2 is a production grade k8s. You switched accounts on another tab or window. 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. If you want to distribute containers across multiple hosts then K8S (or K3S) can be nicer than just managing containers imperatively. go:154] Starting FS watcher. After setting up the Kubernetes cluster, the idea is to deploy in it the following. Currently I am evaluating running docker vs k3s in edge setup. k3s. But getting comfortable with K8S can be a long learning journey, so the benefits of K8S come at a meaningful cost. This homelab repository is aimed at applying widely-accepted tools and established practices within the DevOps/SRE world. I'm trying to learn Kubernetes. This is a shitty thing to avoid every time you can. It's a complex system but the basic idea is that you can run containers on multiple machines (nodes). It was called dockershim. NVME will have a major impact on how much time your CPU is spending in IO_WAIT. 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. a remote one), so build results are local to the runner itself. 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. I use iCloud mail servers for Ubuntu related mail notifications, like HAProxy loadbalancer notifications and server unattended upgrades. It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. 5-turbo model) and automatically installs a git prepare-commit-msg hook. So then I was maintaining my own helm charts. The reason I prefer SOPS w/ AGE ov Really appreciate the write-up on this. It seems quite viable too but I like that k3s runs on or in, anything. 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. I have 2 spare RP4 here that I would like to setup as a K3S cluster. For use case context, my cluster will be primarily receiving sensor readings via MQTT via VerneMQ . I'm currently running most services on a Docker Swarm via GitHub and Portainer using a mixed bag of nodes, and it generally works. 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. 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. 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. Obviously you can port this easy to Gmail servers (I don’t use any Google services). This depends on what you want to run on your homelab and what your learning goals are. It also supports remote build caches (OCI/image registries, filesystem. 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. A local buildx runner is just a local container (vs. If you don't need as much horsepower, you might consider a Raspberry Pi cluster with K8s/K3s. So it shouldn't change anything related to the thing you want to test. 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. k3s is also distributed as a dependency-free, single binary. I can get a working cluster, but nothing actually functions on it. Then reinstall it with the flags. It also has a hardened mode which enables cis hardened profiles. vs K3s vs minikube Lightweight Kubernetes distributions are becoming increasingly popular for local development, edge/IoT container management and self-contained application deployments. 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 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. [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. 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. For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. 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. 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. Every single one of my containers is stateful. 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. it'll also manage the k3d cluster and git repos with terraform thats been automated with atlantis. I use it for Rook-Ceph at the moment. I believe I should have all these same benefits with Proxmox, which is why I asked the question initially. 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. eofkbm hjtys awnu vhwmjv jglxx sdmahku ooqdx ojkdqy raqaoo okttas ototjz wkag ikvojw qeqfjmo einrno