- K3s vs k8s reddit I'm trying to learn Kubernetes. rke2 is a production grade k8s. 3… honestly any tips at all because I went into this assuming it’d be as simple as setting up a docker container and I was wrong. 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. Eventually they both run k8s it’s just the packaging of how the distro is delivered. In case you want to use k3s for the edge or IoT applications, it is already production ready. local metallb, ARP, IP address pool only one IP: master node IP F5 nginx ingress controller load balancer external IP is set to the IP provided by metallb, i. Do what you're comfortable with though because the usage influences the tooling - not the other way around If you want to go through the complexity and pain of learning every single moving part of k8s + the Aws-specific pains of integrating a self-hosted cluster with AWS’s plumbing, go k3s on EC2, and make sure you’re prepared for the stress. k3s. I have been running k8s in production for 7 years. Alternatively, if want to run k3s through docker just to get a taste of k8s, take a look at k3d (it's a wrapper that'll get k3s running on I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. Best I can measure the overhead is around half of one Cpu and memory is highly dependent but no more than a few hundred MBs 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 Use k3s for your k8s cluster and control plane. Since k3s is a fork of K8s, it will naturally take longer to get security fixes. Using older versions of K3S and Rancher is truly recommended. Using upstream K8s has some benefits here as well. I guess it's just easy to have it in my cluster repo if I use it anyways. A subreddit run by Chris Short, author of the once popular DevOps'ish weekly newsletter, Kubernetes… K8S is very abstract, even more so than Docker. From reading online kind seems less poplar than k3s/minikube/microk8s though. (no problem) As far as I know microk8s is standalone and only needs 1 node. I have other stateless clusters, which can be restored directly from a Gitlab CI/CD kicking an external ArgoCD server. For a homelab you can stick to docker swarm. Jun 30, 2023 · Minikube vs Kind vs K3S; Reddit — K3S vs MicroK8S vs K0S; K3S Setup on Local Machine; K3S vs MicroK8S What is the Difference; 5 K8S Distributions for Local Environments; 2023 Lightweight Kubernetes Distributions The upside with Rancher is that it can completely blow up, and your underlying k8s cluster will remain completely usable as long as you have auth outside Rancher. IIUC, this is similar to what Proxmox is doing (Debian + KVM). Then, when Google started to work with open source developers to prepare an open version of Borg, etcd was just picked by the contributors from Red Hat as it was their configuration store of choice at that moment. 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. k3s used to do things like strip out alpha features (I think they added that back years ago). But imo doesnt make too much sense to put it on top of another cluster (proxmox). I run traefik as my reverse proxy / ingress on swarm. With K3s, installing Cilium could replace 4 of installed components (Proxy, network policies, flannel, load balancing) while offering observably/security. It's similar to microk8s. Use kubespray which uses kubeadm and ansible underneath to deploy native k8s cluster. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. x. 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. the IoT industry don't have the "enterprise" mentality that Redhat promote with Openshift. 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. , and provision VMs on your behalf, then lay RKE1/2 or k3s on top of those VMs. Ooh that would be a huge job. K8S is the industry stand, and a lot more popular than Nomad. 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. when k3s from Rancher and k0s from Mirantis were released, they were already much more usable and Kubernetes certified too, and both ones already used in IoT environments. 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. The lightweight design of k3s means it comes with Traefik as the default ingress controller and a simple, lightweight DNS server. maintain and role new versions, also helm and k8s K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). The middle number 8 and 3 is pronounced in Chinese. Docker is a lot easier and quicker to understand if you don't really know the concepts. 4, whereas longhorn only supports up to v1. In contrast, k8s supports various ingress controllers and a more extensive DNS server, offering greater flexibility for complex deployments. Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. 2nd , k3s is certified k8s distro. 25. In professional settings k8s is for more demanding workloads. K3s has a similar issue - the built-in etcd support is purely experimental. It was a continuation of the systemd philosophy at Red Hat initially. There's also a lot of management tools available (Kubectl, Rancher, Portainer, K9s, Lens, etc. From there, really depends on what services you'll be running. But maybe I was using it wrong. Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. Should I just install my K3S master node on my docker host server. Overall I would recommend skipping Rancher if you're using cloud k8s like EKS, and instead just use something like OpenLens for the convenient UI, and manage users through regular AWS R. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. the haproxy ingress controller in k8s accept proxy protocol and terminates the tls. It is easy to install and requires minimal configuration. 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. S. 24. Rancher server works with any k8s cluster. 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. I was planning on using longhorn as a storage provider, but I've got kubernetes v1. 17 because of volume resizing issue with do now. 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. It cannot and does not consume any less resources. Would external SSD drive fit well in this scenario? RKE can set up a fully functioning k8s cluster from just a ssh connection to a node(s) and a simple config file. When it comes to k3s outside or the master node the overhead is non existent. 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. Otherwise we just install it with a cloud-config, run some script for k3s, reboot and it works although there was a problem recently with the selinux-profile for k3s. Rock solid, easy to use and it's a time saver. The same cannot be said for Nomad. The only difference is k3s is a single-binary distribution. I would opt for a k8s native ingress and Traefik looks good. If you are going to deploy general web apps and databases at large scale then go with k8s. api-server as one pod, controller as a separate pod Hi, I've been using single node K3S setup in production (very small web apps) for a while now, and all working great. / to get an entire node (and because its k8s also multiple nodes) back up is a huge advantage and improvement over other systems. It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. To run the stuff or to play with K8S. So it can't add nodes, do k8s upgrades, etcd backups, etc. But just that K3s might indeed be a legit production tool for so many uses cases for which k8s is overkill. The K3s team plans to address this in the future. 24? It depends. 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. Even in this setting you will learn a lot about K8S that transfers to more professional settings. Does anyone know of any K8s distros where Cilium is the default CNI? Hi. Initially, I thought that having no SSH access to the machine would be a bigger problem, but I can't really say I miss it! You get the talosctl utility to interact with the system like you do with k8s and there's overall less things to break that would need manual intervention to fix. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. K3s uses less memory, and is a single process (you don't even need to install kubectl). Get the Reddit app Scan this QR code to download the app now. Understanding the differences in architecture, resource usage, ease of management, and scalability can help you choose the best tool for your specific Apr 5, 2022 · Другое ключевое отличие k3s от k8s заключается в способе управления состоянием кластера 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 Here is what I did that has worked out well. Installation I can't really decide which option to chose, full k8s, microk8s or k3s. [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. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. The downside is of course that you need to know k8s but the same can If you're learning for the sake of learning, k8s is a strong "yes" and Swarm is a total waste of time. k3s/k8s is great. The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. K3S is legit. So then I was maintaining my own helm charts. SMBs can get by with swarm. 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. People often incorrectly assume that there is some intrinsic link between k8s and autoscaling. as you might know service type nodePort is the Same as type loadBalancer(but without the call to the cloud provider) That is not k3s vs microk8s comparison. Reply reply RKE2 goal is intended as a standard secure k8s distro which was originally a Government focused offering, k3s is intended for light-weight or edge use cases. Rancher seemed to be suitable from built in features. 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. e the master node IP. local k8s dashboard, host: with ingress enabled, domain name: dashboard. It's becoming the dominant container runtime for enterprise / production use, and could be a valuable skillset. 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 K8S has a lot more features and options and of course it depends on what you need. The fact you can have the k8s api running in 30 seconds and the basically running kubectl apply -k . k3s. If you have an Ubuntu 18. If you're really constrained about resources, k3s is a really good choice. If you switch k3s to etcd, the actual “lightweight”ness largely evaporates. I use both, and only use Longhorn for apps that need the best performance and HA. 2 with a 2. It is a fully fledged k8s without any compromises. But in k8s, control plane services run as individual pods i. Try Oracle Kubernetes Engine. Production readiness means at least HA on all layers. 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. In fact Talos was better in some metric(s) I believe. I don't know if k3s, k0s that do provide other backends, allow that one in particular (but doubt) personally, and predominantly on my team, minikube with hyperkit driver. k8s cluster admin is just a bit too complicated for me to trust anyone, even myself, to be able to do it properly. K3s is only one of many kubernetes "distributions" available. Sep 14, 2024 · In conclusion, K0s, K3s, and K8s each serve distinct purposes, with K8s standing out as the robust, enterprise-grade solution, while K3s and K0s cater to more specialized, lightweight use cases. K3s is equally well-suited to local development use, IoT deployments, and large cloud-hosted clusters that run publicly accessible apps in production. If anything you could try rke2 as a replacement for k3s. 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). run as one unit i. Mar 10, 2023 · Well, pretty much. If you need a bare metal prod deployment - go with Rancher k8s. K3S seems more straightforward and more similar to actual Kubernetes. e. 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 etcd wasn't originally designed for Kubernetes. I use k8s for the structure it provides, not for the scalability features. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. There is more options for cni with rke2. 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/. 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. So it can seem pointless when setting up at home with a couple of workers. I have both K8S clusters and swarm clusters. A place to discuss and share your addressable LED pixel creations, ask for help, get updates, etc. K8s is a general-purpose container orchestrator, while K3s is a purpose-built container orchestrator for running Kubernetes on bare Jul 20, 2023 · Ingress Controller, DNS, and Load Balancing in K3s and K8s. Which complicates things. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. 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. Or check it out in the app stores Don t use minikube or kind for learning k8s. 04LTS on amd64. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. But really digital ocean has so good offering I love them. Digital ocean managed k8s offering in 1. Still, k3s would be a great candidate for this. K3s vs K0s has been the complete opposite for me. ” To be honest even for CI/CD can be use as production. This means they can be monitored and have their logs collected through normal k8s tools. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. 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. 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 use it to get practices with some lower level K8S concepts that don't come up very often with managed services like AWS EKS or GCP's GKE. But if you need a multi-node dev cluster I suggest Kind as it is faster. So what are the differences in using k3s? harbor registry, with ingress enabled, domain name: harbor. It was my impression previously that minikube was only supported running under / bringing up a VM. 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. I'd say it's better to first learn it before moving to k8s. In our testing, Kubernetes seems to perform well on the 2gb board. 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. RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. Here's the GitHub link - CRI is container run time interface, so, yeah the runtime, it is what K8s speaks, the popular ones are containerd and cri-o, but they aren't the only ones. Everyone’s after k8s because “thats where the money is” but truly a lot of devs are more into moneymaking than engineering. 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. Or regular rancher. For K3S it looks like I need to disable flannel in the k3s. For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. It's quite overwhelming to me tbh. Elastic containers, k8s on digital ocean etc. A single vm with k3s With sealed secrets the controller generates a private key and exposed to you the public key to encrypt your secrets. This community is for users of the FastLED library. But that was a long time ago. What are the benefits of k3s vs k8s with kubeadm? Also, by looking at k3s, I peak at the docs for Rancher 2. K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. Helm release management, cluster management, k8s application management, fined grained access control and much more. Also, I'd looked into microk8s around two years ago. Unlike the previous two offerings, K3s can do multiple node Kubernetes cluster. Longhorn handles everything and has been doing so for a while. If you lose the private key in the controller you can’t decrypt your secrets anymore. Suse releases both their linux distribution and Rancher/k3s. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. The proper, industry-standard way, to use something like k8 on top of a hypervisor is to set up a VM's on each node to run the containers that are locked on that node and VM that is the controller and is allowed to HA migrate. Also: MicroOS is really nice. 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 started with home automations over 10 years ago, home-assistant and node-red, over time things have grown. The same Dockerfile that compose builds locally is the same file that Jenkins builds for prod. If you use RKE you’re only waiting on their release cycle, which is, IMO absurdly fast. I use K8S professionally and also in my homelab (K3S). too many for me to hope that my company will be able to figure out No real value in using k8s (k3s, rancher, etc) in a single node setup. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. 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. It seems quite viable too but I like that k3s runs on or in, anything. I'm using Ubuntu as the OS and KVM as the hypervisor. 7GB, weave-net is not the lightest CNI, etc) So it really depends on your resources constraints: if you can run three or four VMs with 4GB RAM or more, 2 cores or more, it'll do the job. Now I’m working with k8s full time and studying for the CKA. I use K3S heavily in prod on my resource constricted clusters. That way they can also use kubectl and build local and push to the registry. A subreddit run by Chris Short, author of the once popular DevOps'ish weekly newsletter, Kubernetes… You are having issues on a Raspberry Pi…. Working with 4 has been a breeze in comparison to anything 3. e as systemd. But in either case, start with a good understanding of containers before tackling orchestrators. The advantage of HeadLamp is that it can be run either as a desktop app, or installed in a cluster. Rancher can also use node drivers to connect to your VMware, AWS, Azure, GCP, etc. Sure thing. Having done some reading, I've come to realize that there's several distributions of it (K8s, K3s, K3d, K0s, RKE2, etc. Then reinstall it with the flags. Both provide a cluster management abstra 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. 04 or 20. For the benefits of terraform: It has a big community, I can use the helm provider (which allows staggered deploys compared to k3s helm operator) and it's declarative allowing for easier IaC. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? The OS will always consume at least 512-1024Mb to function (can be done with less but it is better to give some room), so after that you calculate for the K8s and pods, so less than 2Gb is hard to get anything done. Portainer started as a Docker/Docker Swarm GUI then added K8s support after. 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 am trying to understand the difference between k3s and k8s, One major difference I think of is scalability, In k3s, all control plane services like apiserver, controller, scheduler. An upside of rke2: the control plane is ran as static pods. 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. 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. Depends what you want you lab to be for. 4K subscribers in the devopsish community. But I cannot decide which distribution to use for this case: K3S and KubeEdge. I made the mistake of going nuts deep into k8s and I ended up spending more time on mgmt than actual dev. I'm now looking at a fairly bigger setup that will start with a single node (bare metal) and slowly grow to other nodes (all bare metal), and was wondering if anyone had experiences with K3S/MicroK8s they could share. The first thing I would point out is that we run vanilla Kubernetes. Rancher’s paid service includes k8s support. . “designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Standard k8s requires 3 master nodes and then client l/worker nodes. The only reason cri-o exist is because RedHat is RedHat and try to get total control of their products and half the time it ends in a bad way when the leave them and deprecate them, they I was looking for a preferably light weight distro like K3s with Cilium. K8S is very abstract, even more so than Docker. Hey, if you are looking for managing Kubernetes with a Dashboard, do try out Devtron. Plus k8s@home went defunct. If you're looking to use one in production, evaluate k8s vs HashiCorp Nomad. 1st, k3d is not k3s, its a "wrapper" for k3s. the 2 external haproxy just send port 80 and 443 to the nodeport of my k8s nodes in proxy protocol. 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 K8s management is not trivial. There is no benefit to Kubernetes from running on VMs if if you are running in HA configuration, with 3 masters and 3 node etcd (although you said K3s so it would be no K8s and each master running SQLite). Not sure if this is on MicroOS or k3s. 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). While not a native resource like K8S, traefik runs in a container and I point DNS to the traefik container IP. 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 Recently set up my first k8s cluster on multiple nodes, currently running on two, with plans of adding more in the near future. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. I wouldn’t likely run K3s, myself, but just vanilla K8s at a business, unless it’s just for learning. Depending on your network & NFS server, performance could be quite adequate for your app. K3s has some nice features, like Helm Chart support out-of-the-box. That said, NFS will usually underperform Longhorn. 04 use microk8s. I like Rancher Management server if you need a GUI for your k8s but I don’t and would never rely on its auth mechanism. However K8s offers features and extensibility that allow more complex system setups, which is often a necessity. Help your fellow community artists, makers and engineers out where you can. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. Swarm mode is nowhere dead and tbh is very powerful if you’re a solo dev. Currently running fresh Ubuntu 22. k3s vs microk8s vs k0s and thoughts about their future I need a replacement for Docker Swarm. x related, which was an Ansible inventory-shaped nightmare to get deployed. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. I believe the audience in r/kubernetes is very wide and you just need to find the right target group. 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. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. I'd looked into k0s and wanted to like it but something about it didn't sit right with me. Use Nomad if works for you, just realize the trade-offs. Most recently used kind, and used minikube before that. For context I run many PostgreSQL instances inside the cluster (reluctantly) and several other databases and a MinIO standalone on k8s. 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 Original plan was to have production ready K8s cluster on our hardware. Guess and hope that it changed What's the current state in this regard? Cons: it's not on the lighter side (vanilla k8s, ISO is 1. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. If skills are not an important factor than go with what you enjoy more. If your goal is to learn about container orchestrators, I would recommend you start with K8S. With self managed below 9 nodes I would probably use k3s as long as ha is not a hard requirement. So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external sql backend or…etcd. 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. I had a hell of a time trying to get k8s working on CentOS, and some trouble with Ubuntu 18. 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. P. 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. - Rancher managed - In this case, Rancher uses RKE1/2 or k3s to provision the cluster. It's 100% open-source k8s dashboard that gives you everything you need for a dashboard. Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ there’s a more lightweight solution out there: K3s It is not more lightweight. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. It uses DID (Docker in Docker), so doesn't require any other technology. Virtualization is more ram intensive than cpu. If you want to install a linux to run k3s I'd take a look at Suse. In terms of actually running services it's really not going to bring much to the table that Docker doesn't provide. K3s if i remember correctly is manky for edge devices. NET workload to a Linux node group and save yourself a world of pain and I don’t just mean pain from the initial Kubernetes inherently forces you to structure and organize your code in a very minimal manner. NFS gets a bad rap, but it is easy to use with k8s and doesn't require any extra software. OK, so I am going to have to pipe in with lots of salt. 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. We are Using k3s on our edge app, and it is use as production. I have a couple of dev clusters running this by-product of rancher/rke. Enables standardizing on one K8s distribution for every environment: K3s is ideal if you want to use the same K8s distribution for all your deployments. as someone who has been using Longhorn with Micro Thinkcentre nodes w/ NVME SSD storage Longhorn has been the easiest, most reliable k8s storage interface I’ve used. 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. Sep 13, 2021 · K3S + K3D = K8S : a new perfect match for dev and test; K8s on macOS with K3s, K3d and Rancher; k3s vs microk8s vs k0s and thoughts about their future; K3s, minikube or microk8s? Environment for comparing several on-premise Kubernetes distributions (K3s, MicroK8s, KinD, kubeadm) MiniKube, Kubeadm, Kind, K3S, how to get started on Kubernetes? If the developers are already using docker and a makefile, can they switch to using k3s local with a kaniko running? Or rancher desktop which install a K3s (but it uses more memory and create a VM). The k8s pond goes deep, especially when you get into CKAD and CKS. My goals are to setup some Wordpress sites, vpn server, maybe some scripts, etc. 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. 5, I kind of really like the UI and it helps to discover feature and then you can get back to kubectl to get more comfy. K3s obvisously does some optimizations here, but we feel that the tradeoff here is that you get upstream Kubernetes, and with Talos' efficiency you make up for where K8s is heavier. 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 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). You are going to have the least amount of issues getting k3s running on Suse. 2. As a note you can run ingress on swarm. There is also better cloud provider support for k8s containerized workloads. true. 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. Not sure if people in large corporates that already have big teams just for Yes upgrading k8s is literally one click on the ui The only drawback I can note about that is that you don’t have the very last versions of k8s immediately available No docs sorry, but the docs online about rancher/rke2 are good (a bit sparse sometimes though) Great overview of current options from the article About 1 year ago, I had to select one of them to make disposable kubernetes-lab, for practicing testing and start from scratch easily, and preferably consuming low resources. 6 years ago we went with ECS over K8s because K8s is/was over engineered and all the extra bells and whistles were redundant because we could easily leverage aws secrets (which K8s didn’t even secure properly at the time), IAM, ELBs, etc which also plugged in well with non-docker platforms such as lambda and ec2. Second, Talos delivers K8s configured with security best practices out of the box. x, with seemingly no eta on when support is to be expected, or should I just reinstall with 1. when i flip through k8s best practices and up running orielly books, there is a lot of nuances. I find K8S to be hard work personally, even as Tanzu but I wanted to learn Tanzu so. We use docker-compose locally. Every single one of my containers is stateful. I would personally go either K3S or Docker Swarm in that instance. 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. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. It also has a hardened mode which enables cis hardened profiles. com Jan 20, 2022 · Not only that, K3s can spin up clusters more quickly than K8s. I've been working on OCP platforms since 3. Then most of the other stuff got disabled in favor of alternatives or newer versions. Rancher is not officially supported to run in a talos cluster (supposed to be rke, rke2, k3s, aks or eks) but you can add a talos cluster as a downstream cluster for management You’ll have to manage the talos cluster itself somewhat on your own in that setup though; none of the node and cluster configuration things under ranchers “cluster We would like to show you a description here but the site won’t allow us. Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. 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) 27 votes, 37 comments. Too much work. 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. ). Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em down 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. If you look for an immediate ARM k8s use k3s on a raspberry or alike. Cilium's "hubble" UI looked great for visibility. com See full list on cloudzero. However, due to technical limitations of SQLite, K3s currently does not support High Availability (HA), as in running multiple master nodes. That Solr Operator works fine on Azure AKS, Amazon EKS, podman-with-kind on this mac, podman-with-minikube on this mac. Observation: As a former “softie” from the Windows Server team and as someone who has moved workloads for the Fortune 500 from “as-a-service” on prem and public cloud to k8s since both AWS and Azure supported k8s, deploy your . Doing high availability with just VMs in a small cluster can be pretty wasteful if you're running big VMs with a lot of containers because you need enough capacity on any given node to If you want to get skills with k8s, then you can really start with k3s; it doesn't take a lot of resources, you can deploy through helm/etc and use cert-manager and nginx-ingress, and at some point you can move to the full k8s version with ready infrastructure for that. 4 was released. Managing k8s in the baremetal world is a lot of work. The primary argument for using K8s/K3s in the homelab is basically to learn Kubernetes. I know k8s needs master and worker, so I'd need to setup more servers. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. You aren’t beholden to their images. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. scoerjw ievk uap qqe mbtisr wrjblxw cldzsur vyrrm iwhxwri jxbyul rmrnue musuzi ddmg exja rtix