K3s vs k8s reddit. It works absolutely fine.

K3s vs k8s reddit K8s: K3s: Performance: K8s’ performance is a general-purpose, high-scale application, and its distribution. And by manage I mean handle upgrades. K3s vs K8s . 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). For all other clusters types, Rancher treats it like an imported cluster where Rancher is really a consumer of the cluster and can’t do anything lower than k8s. Thats a understatement to what OpenShift compared to RKE IMHO. I have seen git’s with tutorials recommending disabling swap, not sure I want to do that as I don’t want to comprise SLURM. You also have the option of using those directly, which are Businesses nowadays scratch their heads on whether to use K3s or K8s in their production. What is your use case for using cilium vs. Prod: managed cloud kubernetes preferable but where that is unsuitable either k3s or terraform+kubeadm. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. I have migrated from dockerswarm to k3s. What are the benefits of k3s vs k8s with kubeadm? Also, by looking at k3s, I peak at the docs for Rancher 2. But imo doesnt make too much sense to put it on top of another cluster (proxmox). That being said, I didn’t start with k8s, so I wouldn’t switch to it. x with zero problems. Sure thing. Virtualization is more ram intensive than cpu. It's just a name of a specific distribution of K8s, which is named that way because it bills itself to be lightweight. If you find that Swarm can't handle it, start looking at k8s, k3s, Rancher. That is not k3s vs microk8s comparison. An upside of rke2: the control plane is ran as static pods. I was trying to decide between MicroK8s and Use k3s for your k8s cluster and control plane. Reply reply This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. A single vm with k3s is great Reply reply Top 2% Rank by size . More posts you may like r/kubernetes. Will initially run some classic homelab workloads (grafana, postgres, traefik and so on). r/radiocontrol • K8 VS 5T. Nothing against cilium but I doubt you'll see the benefits on a cluster like yours This is for learning purposes, my goal is to learn Cilium. Yes, NFS is supported, I've used AWS's EFS for years, and straight NFS for months. maintain and role new versions, also helm and k8s We chose cilium a few years ago because we wanted to run in direct-routing mode to avoid NAT‘ing and the overhead introduced by it. k3s. Have you tried using Hashicorp Vault? I have heard Infiscal has some quirks when it comes to k8s. 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. 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. Managing k8s in the baremetal world is a lot of work. api-server as one pod, controller as a separate pod Get the Reddit app Scan this QR code to download the app now. (Plus biggest win is 0 to CF or full repave of CF in 15 minutes on k8s instead of the hours it can take presently) For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. 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. That’s a bold assumption. And if you want I have been running k8s in production for 7 years. Currently running fresh Ubuntu 22. Do what you're comfortable with though because the usage influences the tooling - not the other way around What is your use case for using cilium vs. 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 In a highly available K3s Cluster, is a load balancer needed or can you utilize the Traefik Ingress Controller and load balancer (Klipper) that’s included in the install? Personnally I disable traefik and Klipper and use Nginx + MetalLb which is another software LB for k8s. r/Proxmox. It's still single-binary with a very sensible configuration mechanism, and so far it's worked quite Since k3s is a fork of K8s, it will naturally take longer to get security fixes. Would probably still use minikube for single node work though. People often incorrectly assume that there is some intrinsic link between k8s and autoscaling. k8s is a container orchestration tool, it will need a registry. This means they can be monitored and have their logs collected through normal k8s tools. 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. For immediate help and problem solving, please join us at https://discourse. e. The first thing I would point out is that we run vanilla Kubernetes. I know could spend time learning manifests better, but id like to just have services up and running on the k3s. I can confirm it works on K3S as well since my dev environment is 8 rasp pi 4s running k3s, and most of my apps get deployed there first before going into production (RKE2). I have a couple of dev clusters running this by-product of rancher/rke. I use k8s for the structure it provides, not for the scalability features. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. r/kubernetes Platform Engineering Landmines. Production Rancher does have a bit of a chicken and egg problem and an extremely steep curve between 'run rancher on a single docker host' to 'run a production-ready rancher instance in k8s' I am curious how others may be tackling the problem of orchestrating production rancher (particularly on vmware). Rancher RKE/RKE2 are K8s distribution. I have a raspberry pi cluster for my university dissertation, it had 3 overlays - MPI, SLURM and K3s. 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. 04 minimal. One production envs requirements isn't another's requirements. The thing that is not clear is do you actually really need 2 clusters: one for the Rancher admin part (which seems to Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. 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 From the perspective of actual applications that you deploy to k8s, there will functionally be no difference at all between local clusters and cloud-provided clusters. 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). 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. 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. K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. But what is K3s, and how does it differ from its larger sibling K8s? Learn the key differences and when to use each platform in this helpful guide. Elastic containers, k8s on digital ocean etc. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. But in k8s, control plane services run as individual pods i. Along the way we ditched kube-proxy, implemented BGP via metalLB, moved to a fully eBPF based implementation of the CNI with the last iteration and lately also ditched metalLB (and it‘s kube-router based setup) in favour of cilium-powered Things like Docker Compose can give you easy DNS resolutions between services, while on K8S that more or less needs to be configured for each of them. K3s is just a lightweight K8s distribution whereas KubeEdge is a K8s-based framework that tries to bring K8s functionalities to the edge, taking into consideration the specific characteristics of Edge Computing (limited computing capabilities, network instability K3s would be great for learning how to be a consumer of kubernetes which sounds like what you are trying to do. x and 20. do many companies still manage their k3s/k8s is great. Was put off microk8s since the site insists on snap for installation. Or check it out in the app stores &nbsp; Self Deployed k8s vs Self Deployed Nomad - oranges. Docker still uses a VM behind the scenes but it's anyway lightweight. Self managed ceph through cephadm is simple to setup, together with the ceph-csi for k8s. SMBs can get by with swarm. (Plus biggest win is 0 to CF or full repave of CF in 15 minutes on k8s instead of the hours it can take presently) RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. But if you want it done for you, Rook is the way. 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. 28 added beta support for it. K3s does everything k8s does but strips out some 3rd party storage drivers which I’d never use anyway. Once you’ve added a bunch of nodes to a cluster, you can add and remove taints. 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. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. 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. It seems like a next step to me in docker (also I'm an IT tech guy who wants to learn) but also then want to run it at home to get a really good feeling with it Another benefit of K3s is how easily you'll have a reverse proxy setup. 04LTS on amd64. View community ranking In the Top 1% of largest communities on Reddit. However K8s offers features and extensibility that allow more complex system setups, which is often a necessity. My next k3s node will likely be fedora but when I add the I run nightscout in RKE2. What is Kubernetes (K8s)? What is K3s? K3s vs K8s: What is the Let’s be clear: K3s is not a fork of K8s. If you really want to go ultra-cheap and/or have maximum node access, and have the spare compute capacity laying around (it doesn't take much -- if you just replaced your laptop recently and still have the old one, that's probably plenty), k3s (the distribution Civo uses for their managed clusters) is easy to get up and running yourself in a I couldn't find anything on the k3s website regarding swap, and as for upstream kubernetes, only v1. These are all things that are super useful to learn since they represent containerization's state of the art, but you need to set aside quite a bit of (human) resources to properly learn and Reddit has long been a hot spot for conversation on the internet. 4, whereas longhorn only supports up to v1. We ask that you please take a minute to read through the rules Homelab: k3s. Eventually they both run k8s it’s just the packaging of how the distro is delivered. Rancher for example can be used to build an opinionated k8s cluster. I have it running various other things as well, but CEPH turned out to be a real hog For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. But if you need a multi-node dev cluster I suggest Kind as it is faster. Below I leave a link to its table of contents. That should work great. K3s is only one of many kubernetes "distributions" available. Hi, I've been using single node K3S setup in production (very small web apps) for a while now, and all working great. Most recently used kind, and used minikube before that. Or check it out in the app stores &nbsp; K3s has a similar issue - the built-in etcd support is purely experimental. Kubernetes, or K8S, is a powerful container orchestration platform. Personally I think k3s has a lot going for it, I really need to start verifying some of my applications/workloads against it. That said most of those systems I'd like to have at least one node available as at least a standby. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. Both k8s and CF have container autoscaling built in, so that's just a different way of doing it in my opinion. Full k8s. Agreed with “why choose unmanaged”, sometimes there are requirements via compliance or federal for it tho :/ But K3s is K8s it isn't an alternative. RKE2 is the successor to RKE and is built out of the best of k3s and RKE and can run in FIPS-140 mode with CIS hardened profiles. Rock solid, easy to use and it's a time saver. I prefer single-node K3s for these Correct, Rancher can be installed on any k8s cluster but for to manage the cluster that it leaves on it must be an RKE2/k3s. OS is Ubuntu 22. 04 This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. I've had plenty of of single node production systems, k8s or non-k8s. setup dev k8s cluster in AWS each developer gets its own namespace, where whole app can run use telepresence to swap single service for one running locally Benefits: no need to run k8s/k3s or whatever locally plugged into fully functional environment Drawbacks: not trivial setup 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 I disagree, a big reason I moved is the k3s engine chews up resources even when idle. Add on-premise k3s node to a managed Kubernetes with dev taint r/Proxmox. In our testing, Kubernetes seems to perform well on the 2gb board. Thanks! I chose k8s over k3s because I want to learn about it. OP might as well give RKE a spin and see for yourself. This is where your container images live. Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content. K3s defaults into a single node approach so the node isn’t tainted for control-plane-only like a regular master node. local I am doing this because I want to and to learn (at some level) how to cluster w/ K8s. Reply reply Both k8s and CF have container autoscaling built in, so that's just a different way of doing it in my opinion. 17 because of volume resizing issue with do now. Edit: I wanted to say thanks to everyone for the great feedback, you've convinced me to go with K3s instead of K8s. The only difference When used with SUSE Rancher, K3s is easy to install and suitable for running production workloads across resource-restrained, remote locations like IoT devices. KubeVIP is a k8s LB that runs as a daemonset in k8s on the same hardware and provide HA for the control plane and worker nodes / applications. x. <tld> to external ips of vpss. 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. With Talos you still get the simplified/easy Kubernetes with a superior OS to run it on out of the box. I give you my opinion on the pros and cons of MiniKube, Kubeadm, Kind and K3S. the more difficult but also more flexible solutions You also mentioned portainer. NET workload to a Linux node group and save yourself a world of pain and I don’t just mean pain from the initial environment formation and deployment but also with I used to create clusters with kubeadm on Proxmox VMs, but I think for two years I'm just using microk8s since I don't need 100% availability. First of all, you know nothing about my company and right away assumed that we don’t have a local K8s offering which is hilariously wrong. Great content! I was planning on throwing k3s on my recently acquired opi5. K3S is legit. Our goal is to I can't really decide which option to chose, full k8s, microk8s or k3s. K3s is just a brand name for a Maybe I am missing something but my plan is to have two A records pointing k8s. K3s and all of these actually would be a terrible way to learn how to bootstrap a kubernetes cluster. 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 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. It also has a hardened mode which enables cis hardened profiles. Bash scripts are included for your convenience. K3s is K8s. The "web" console is just a helm that deploy in your cluster if you want a fancy administration or to help you manage multiple clusters/clouds in k8s. A fork would imply diverging codebases from a common point, when in fact the opposite is true. Microk8s also needs VMs and for that it uses Multipass. Working with Kubernetes for such a long time, I'm just curious about how everyone pronounces the abbreviation k8s and k3s in different languages?. Why? Dunno. Just having one k8s node is kinda pointless in terms of k8s, but to me, it's a way easier to manage than just docker containers OpenShift is to K8s what RHEL is to Linux. It’s an enterprise level distribution if k8s, with support and consulting services. See my write-up on Traefik on my wiki. K8S is very abstract, even more so than Docker. I'd say it's better to first learn it before moving to k8s. But really digital ocean has so good offering I love them. I currently have a cluster running 19. 8+k3s1) on Arch Linux with a single node config, but there's no reason it wouldn't work on a multi-node cluster or any other distro or plain old k8s. x, with seemingly no eta on when support is to be expected, or should I just reinstall with 1. Reply reply So if they had mysql with 2 slaves for DB they will recreate it in k8s without even thinking if they even need replicas/slaves at all. 24. 04 use microk8s. Primarily for the learning aspect and wanting to eventually go on to k8s. When it comes to k3s outside or the master node the overhead is non existent. The process starts with installing k3s, but the network config is based on CNI so it should be the same for k8s. From there, really depends on A lot of the hassle and high initial buy-in of kubernetes seems to be due to etcd. I’ve set up a HA K3s cluster months ago, before getting this in depth on the architecture, etc. Nginx is very capable, but it fits a bit awkwardly into k8s because it comes from a time when text configuration was adequate, the new normal is API driven config, at least ingresses. Or check it out in the app stores &nbsp; &nbsp; TOPICS vm. Though k8s can do vertical autoscaling of the container as well, which is another aspect on the roadmap in cf-for-k8s. Valheim; Genshin Impact; Minecraft; Distributions like k3s make getting up and running comparatively easy, so I think there’s not too much harm in it even if it’s technically overkill. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. If you want a more serious cluster on bare metal I would advise using a hypervisor such as proxmox or perhaps As to the people talking about k3s and external backends, ex: mariadb/mysql, If you go this route you are responsible for providing the HA cluster for thay backend service (load balancer with at min 3 mariadb galera nodes). K3s is going to be a lot lighter on resources and quicker than anything that runs on a VM. Not when it comes to upgrades and what you get out of the box. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. Also OKD is not openshift. Its lightweight but Highly-Available Kubernetes distribution K3s uses less memory, and is a single process (you don't even need to install kubectl). K8s wasn’t meant for tiny workloads. K3s does some specific things different from vanilla k8s but you’d have to see if they apply to your use-case. 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 I've written a guide series where I detail how I turned a low-end consumer grade old PC into a little but rather capable homelab running a K3s Kubernetes cluster. Credit: How K3s In this guide, we’ll explore the differences between K8s and K3s: a popular lightweight option for Kubernetes distribution. k3s by default is a k8s distribution so we’re not comparing like for like Reply reply More Recently set up my first k8s cluster on multiple nodes, currently running on two, with plans of adding more in the near future. So it can seem pointless when setting up at home with a couple of workers. 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. kubeadm for sure , we have a 20 node bare metal k8s cluster built using it , there is no difference between Debian Stable and Ubuntu LTS server (that is not bloated because it's the used to deploy in on-premise and cloud server editions), because k3s try to maintain support on all these. It seems quite viable too but I like that k3s runs on or in, anything. If you're trying to run k3s in a high For Kubernetes on Bare metal, here's a comparison on K3s vs Talos K3s 4 the win. 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). For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. The hand-holding did get annoying to me personally with GCP after a while though, since I was already pretty familiar with k8s. Choosing the right CNI plugin and appropriate networking policies will be essential, along with firewall/IPS at site, host, cluster and pod levels. I don't get it, if k3s is just a stripped down version of k8s, what's different about its memory management so that having swap enabled isn't an issue? Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. And on vps have some kind of reverse proxy/lb (was hoping to us nginx) which will distribute requests to either k8s or to other services running in homelab. Then use k3s to provision kubernetes and use their local-path drivers to create pvc's. These get pulled by k8s when starting a workload on a cluster node, which basically is container(s) inside a pod, controlled by a deployment / statefulset / daemonset Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. Would external SSD drive fit well in this scenario? Just go with Rook, IMHO is the best managed k8s operator solution. More posts you may like. Also, I'd looked into microk8s around two years ago. Then reinstall it with the flags. I know k8s needs master and worker, so I'd need to setup more K3s is a lightweight, easy to install, deploy, and manage version of stock Kubernetes (K8s). Internet Culture (Viral) Amazing; Animals & Pets If you look for an immediate ARM k8s use k3s on a raspberry or alike. But that was a long time ago. Portainer isn't an orchestrator, but rather a GUI for managing SOME orchestrators. Or check it out in the app stores &nbsp; &nbsp; TOPICS Yes upgrading k8s is literally one click on the ui it will be using the RKE2 or k3s projects to actually create clusters on the nodes provided by your VM layer. I also have no real experience with Rancher, but from what I can see its a GUI for K8s. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. Any argument for going full k8s vs k3s? Kubernetes inherently forces you to structure and organize your code in a very minimal manner. Imho if it is not crazy high load website you will usually not need any slaves if you run it on k8s. Maybe now I'd go with k3s, but it's kind the same idea. Or check it out in the app stores &nbsp; &nbsp; TOPICS. For PVCs I simply use NFS. R. You can do everything k8s does plus the weird stuff, like GPU, RDMA, etc We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. Or check it out in the app stores &nbsp; &nbsp; TOPICS Comparing resource consumption on k0s vs K3s vs Microk8s A few folks have been asking about the differences in resource consumption between k0s, k3s, and microk8s. local k8s dashboard, host: with ingress enabled, domain name: dashboard. As I’m fairly familiar with k8s, I thought about going k3s for a cluster. swapiness=0 is a common recommendation for k3s/k8s In htop there are many k3s server instances present they seem to altering between sleeping and running Get the Reddit app Scan this QR code to download the app now and appears to me very simple to setup and manage in comparison with k8s, considering that i can setup k3s/k0s too. dev comments sorted by Best Top New Controversial Q&A Add a Comment. Advertise on Reddit; Shop Collectible Avatars; Kubernetes inherently forces you to structure and organize your code in a very minimal manner. Although K3s is a refined version of Kubernetes (the upstream version), it does not change how Kubernetes works at its core. It auto-updates your cluster, comes with a set of easy 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. We will explain their architectural differences, performance characteristics, disadvantages, and ideal use cases, For me the easiest option is k3s. K3s is a certified Kubernetes distribution. 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. practicalzfs. for the Fortune 500 from “as-a-service” on prem and public cloud to k8s since both AWS and Azure supported k8s, deploy your . RKE2 is k3s with a more standard etcd setup and in general meant to be closer to upstream k8s. With just SLURM and MPI the pi is fine, as soon as k3s is enabled it uses 100% of the swap ram and the pi bricks. Get the Reddit app Scan this QR code to download the app now harbor registry, with ingress enabled, domain name: harbor. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. 18. No real value in using k8s (k3s, rancher, etc) in a single node setup. ). Or check it out in the app stores So I compared four different technologies that you can use to get started with Kubernetes on your own computer. But RKE is not even close to openshift. Everything persistent (whether database, block, or file storage) goes on a separate storage cluster. r/kubernetes AWS has the worst managed K8s offering i have encountered. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. I create the vms using terrafrom so I can take up a new I’ve also been looking at the SELinux capabilities within K8s, which it appears can provide some further isolation between container and host kernel. There is also better cloud provider support for k8s containerized workloads. Despite claims to the contrary, I found k3s and Microk8s to be more resource intensive than full k8s. I would opt for a k8s native ingress and Traefik looks good. I use it for Rook-Ceph at the moment. If you switch k3s to etcd, the actual “lightweight”ness largely evaporates. For immediate help and problem solving, please join Correct, Rancher can be installed on any k8s cluster but for to manage the cluster that it leaves on it must be an RKE2/k3s. s. As far as secret management goes. Use 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 uses DID (Docker in Docker), so doesn't require any other technology. K3s’ lightweight, fast, and self-upgraded abilities are ideal for IoT and edge computing. Imho if you have a small website i don't see anything against using k3s. I think only installing time and experience would be better in RKE compared to openshift. Or check it out in the app stores &nbsp; &nbsp; TOPICS I had a hell of a time trying to get k8s working on CentOS, and some trouble with Ubuntu 18. The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. I generally warn folk not to over rely on NFS; it's pretty good for tasks that can tolerate high latency, but it simply isn't local storage, and developers often make the mistake of treating it like local storage, or (much worse) like a key value store. So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external sql backend oretcd. If you have an Ubuntu 18. Members Online. Portainer started as a Docker/Docker Swarm GUI then added K8s support after. It is easy to install and requires minimal configuration. 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 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. ) [AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload If you are worried about $80/month then k8s is definitely overkill. Or check it out in the app stores &nbsp; I would look at running nginx ingress on k3s as most people run it on k8s whereas k3s uses traefik by default. It works absolutely fine. 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 Depends on your motivation. 04 or 20. For a homelab you can stick to docker swarm. Rancher K3s is also a K8s distribution but just with the minimum that you need and in a light way. The primary argument for using K8s/K3s in the homelab is basically to learn Kubernetes. I recently deployed k3s with a postgres db as the config store and it's simple, well-understood, and has known ops procedures around backups and such. Learning K8s: managed Kubernetes VS k3s/microk8s . For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. We run exclusively on bare metal as well. It's becoming the dominant container runtime for enterprise / production use, and could be a valuable skillset. k8s - while k8s had more going for it as opposed to swarm, we're a very small team (2 people), and As to the people talking about k3s and external backends, ex: mariadb/mysql, If you go this route you are responsible for providing the HA cluster for thay backend service (load balancer with at min 3 mariadb galera nodes). Oh, and even though it's smaller and lighter, it still passes all the 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. The same cannot be said for Nomad. On Mac you can create k3s clusters in seconds using Docker with k3d. Single master k3s with many nodes, one vm per physical machine. run as one unit i. Saw in the tutorial mentioned earlier about Longhorn for K3s, seems to be a good solution. I set this up using k3s (v1. Take a look and let me know which technology you It's a hard requirements for K8s/K3s. Still, k3s would be a great candidate for this. Digital ocean managed k8s offering in 1. I use K3S heavily in prod on my resource constricted clusters. 25. I wouldn’t likely run K3s, myself, but just vanilla K8s at a business, unless it’s just for learning. Standard k8s requires 3 master nodes and then client l/worker nodes. I was planning on using longhorn as a storage provider, but I've got kubernetes v1. If you assign only 1 Ip to metalLb (you can assign a range), you View community ranking In the Top 20% of largest communities on Reddit. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python 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. . Also, I want to make it clear there's two goals here: Learn Kubernetes, but also increase the overall fault tolerance for my self hosted stuff at home. and evaluated swarm v. K3s is a fully CNCF (Cloud Native Computing Compare the differences between k3s vs k8s in our detailed guide, focusing on edge computing, resource usage, scalability, and home labs. Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ I took this self-imposed challenge to compare the installation process of these distros, and I'm excited to share the results with you. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Because it has become the common clustering OS and the kube parts give the same kube interfaces as any other kube there is an endless range of tooling available for it. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. In recent years, Reddit’s array of chats also have been a free teaching aid for companies like Google, OpenAI and Microsoft. It’s for massive container orchestration. 24? We prepared a comprehensive comparison of K0s vs K3s vs K8s, as Kubernetes has become the go-to solution for container orchestration and along with capabilities growth, various distributions have been developed to meet different user needs. With self managed below 9 nodes I would probably use k3s as long as ha is not a hard requirement. Table of contents of the Small homelab K8s cluster on Proxmox VE guide series. All k8s api calls will be routed to this IP. k3s default flannel? Mainly, performance issues with iptables rules (cilium removes the use of iptables) and no network policy support in flannel. With EKS you have to put in more time to build out all the pieces (though they are starting to include some "add-ons" out of the box). Internet Culture (Viral) Amazing Don t use minikube or kind for learning k8s. I'd argue against that there's no such thing. 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. Gaming. In terms of actually running services it's really not going to bring much to the table that Docker doesn't provide. Get the Reddit app Scan this QR code to download the app now. About 57 million people visit the site every day to chat about topics as varied as makeup, video games and pointers for power washing driveways. On the plus side the forced rapid cadence from upstream k8s means that things can improve and there is enormous momentum behind it. In professional settings k8s is for more demanding workloads. "Best linux distro for k8s/docker in 2020? dev/prod" -Reddit Share Add a Comment I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. That Solr Operator works K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. Hi, I’ve got a small stack currently being developed locally with docker and compose. Which it is in many ways, for example forsaking an etcd cluster for SQlite. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. e as systemd. Micro PC Recommendation for k8s (or k3s) Cluster . I'd looked into k0s and wanted to like it but something about it didn't sit right with me. (I would prefer to use glusterfs, but the sole irritation I have with k3s compared to k8s is that k3s has most of the storage drivers, including glusterfs, stripped out. The middle number 8 and 3 is pronounced in Chinese. Let’s discuss some of the many things that make both K3s and K8s unique in their ways. In Chinese, k8s may be usually pronounced as /kei ba es/, k3s may be usually pronounced as /kei san es/. RedHat/MicroShift vs SuSE/k3s vs Canonical/microk8s, fight! Reply reply This little reddit hub is dedicated to Windows Phone 7, 8, Windows 10 Mobile + everything else related to them. Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. In practice I would run K3s for power consumption reasons. In English, k8s might be pronounced as /keits/? And k3s might be Get the Reddit app Scan this QR code to download the app now. Having said that, I would bet you or your boss makes $80+/hr so it’s really small potatoes tbh k3d vs k3s vs kind vs microk8s vs minikube : a comprehensive guide to choose for local Kubernetes development !! The main things are that I want a k3s cluster, I want lightweight to run in a VM in ProxMox, I'd like the OS to handle updates/security for me as a whole package (I think all 3 of the choices do this), and I'd like Rancher to be able to be installed on it. The most significant difference between K3s and K8s is how they are packaged. hey all I want to start learning k8s and I feel like the IT world is all moving towards SaaS/Managed solutions like how cloud providers such as AWS provides EKS and Google provides GKE. The community is relatively tiny compared to K8S, so there's a good chance with a modest production environment that you will be the first to encounter or at Get the Reddit app Scan this QR code to download the app now. com with the ZFS community as well. Counter-intuitive for sure. There is more options for cni with rke2. Speed: K8s handles big data and containers, so its speed is not enough; it takes some minutes for deployment. They should simply use whatever load balancer types are available in the cluster. It cannot and does not consume any less resources. No, it is not a fork of Kubernetes. It's ridiculous amount of overhead for a home server as well as a lot of unneeded complexity - all to deliver a web-based experience that is, in my opinion, one stop short of awful. Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. My only concern is related to whether it’s too much? Maybe I can go with using docker compose and swarm (v3 integrates between the two). The stack consists of nginx, uvicorn/starlette which loads a couple of machine learning models for prediction, a celery to train models separately, psql db, along with redis for pubsub/ cache, and some pgadmin/flower for dashboard (not important). It feels like a much better oiled machine and most of the time you even forget it's there I recommend k3s on Ubuntu Server 22. For immediate help and Docker is a lot easier and quicker to understand if you don't really know the concepts. For a new role at work, production will be on either of Amazon or Azure's hosted Kubernetes; but development will be done locally on a mac. It's stable enough, plus you can use the mounted drives on the nodes directly. earthly. K3s has Traefik built-in, so all you need to do is configure a certificate resolver like Let's Encrypt and create an Ingress for the services you want to expose. Kubernetes and K3s share the same source code (upstream version), but K3s contain fewer dependencies, cloud provider integrations, add-ons, and other components that are not absolutely necessary for installing and running Kubernetes. It was my impression previously that minikube was only supported running under / bringing up a VM. I don't think there's an easy way to run Kubernetes on Mac without VMs. We do have enterprise customers who run their K8s clusters on-prem as well, so no idea what hate/shill you’re on about. 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. This is on vSphere with vSAN for the underlying storage of the VMs which are running k8s deployed via kubeadm and another cluster using k3s. so after that you calculate for the K8s and pods, so less Hello, find in the section 6 of this paper a deep comparison between both options. But that is a side topic. umgb oqspg vczbeh srylua ykj hazh ngqtd ebi vortvcaxg iofiea