K3s vs k8s reddit. Ooh that would be a huge job.

K3s vs k8s reddit K8s vs. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. The amount of traction it's getting is insane. The lightweight design of k3s means it comes with Traefik as the default ingress controller and a simple, lightweight DNS server. Plus, look at both sites, the same format and overall look between them. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). But currently, we see K3s or a lightweight Kubernetes distribution which is light, efficient and fast with a dramatically small footprint levelling up. But maybe I was using it wrong. When it comes to k3s outside or the master node the overhead is non existent. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. K3S is legit. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. Google and Microsoft have while teams just dedicated to it. RKE2 is k3s with a more standard etcd setup and in general meant to be closer to upstream k8s. I just migrated a big open source project from docker compose to docker. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. That being said, I didn’t start with k8s, so I wouldn’t switch to it. The price point for the 12th gen i5 looks pretty good but I'm wondering if anyone knows how well it works for K8s , K3s, and if there's any problems with prioritizing the P and E cores. 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. , and provision VMs on your behalf, then lay RKE1/2 or k3s on top of those VMs. maintain and role new versions, also helm and k8s I run a swarm node for all of my services, and the curve on swarm you will find to be much gentler than k8s. But if you need a multi-node dev cluster I suggest Kind as it is faster. I use k8s for the structure it provides, not for the scalability features. I know could spend time learning manifests better, but id like to just have services up and running on the k3s. Hey all, Quick question. So it can't add nodes, do k8s upgrades, etcd backups, etc. Every single one of my containers is stateful. 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 I have been running k8s in production for 7 years. K8s is a lot more powerful with an amazing ecosystem. 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. ams3. 2 with a 2. RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. Then most of the other stuff got disabled in favor of alternatives or newer versions. Virtualization is more ram intensive than cpu. S. “designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. and using manual or Ansible for setting up. The hand-holding did get annoying to me personally with GCP after a while though, since I was already pretty familiar with k8s. 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. Standard k8s requires 3 master nodes and then client l/worker nodes. Ooh that would be a huge job. It's still single-binary with a very sensible configuration mechanism, and so far it's worked quite well for me in my home lab. app. My question is, can my main PC be running k8s, while my Pi runs K3s, or do they both need to run k3s (I'd not put k8s on the Pi for obvious reasons) This thread is archived New comments cannot be posted and votes cannot be cast For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. Businesses nowadays scratch their heads on whether to use K3s or K8s in their production. RKE can set up a fully functioning k8s cluster from just a ssh connection to a node(s) and a simple config file. digitaloceanspaces. If you look for an immediate ARM k8s use k3s on a raspberry or alike. 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) I started with home automations over 10 years ago, home-assistant and node-red, over time things have grown. 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. I know K3s is pretty stripped off of many K8s functionalities but still, if there is a significantly lower usage of CPU & ram when switching to docker-compose I might as well do that. Still, k3s would be a great candidate for this. A lot of the hassle and high initial buy-in of kubernetes seems to be due to etcd. Especially VMWare Virtual Machines given the cost of VMWare licensing. The K3s team plans to address this in the future. I’m sure this has a valid use case, but I’m struggling to understand what it is in this context. com. If you want, you can avoid it for years to come, because there are still I was looking for a preferably light weight distro like K3s with Cilium. digitalocean. 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? K8S has a lot more features and options and of course it depends on what you need. The biggest problem is that it's always massively outdated on stale. This means they can be monitored and have their logs collected through normal k8s tools. I also tried minikube and I think there was another I tried (can't remember) Ultimately, I was using this to study for the CKA exam, so I should be using the kubeadm install to k8s. Plenty of 'HowTos' out there for getting the hardware together, racking etc. It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. My main duty is software development not system administration, i was looking for a easy to learn and manage k8s distro, that isn't a hassle to deal with, well documented, supported and quickly deployed. Installation Go with kubernetes. Nov 29, 2024 · K3s vs. Maybe someone here has more insights / experience with k3s in production use cases. 4 was released. It is a fully fledged k8s without any compromises. Docker is a lot easier and quicker to understand if you don't really know the concepts. I checked my pihole and some requests are going to civo-com-assets. 124K subscribers in the kubernetes community. Our goal is to eliminate the OS essentially, and allow you to focus on the cluster. 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. . g. However K8s offers features and extensibility that allow more complex system setups, which is often a necessity. Saw in the tutorial mentioned earlier about Longhorn for K3s, seems to be a good solution. Bare Metal K8S vs VM-Based Clusters I am scratching my head a bit, wondering why one might want to deploy Kubernetes Clusters on virtual machines. I initially ran a fullblown k8s install, but have since moved to microk8s. 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. as you might know service type nodePort is the Same as type loadBalancer(but without the call to the cloud provider) 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. 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. Hello, I'm setting up a small infra k3s as i have limited spec, one machine with 8gb ram and 4cpu, and another with 16gb ram and 8cpu. I find K8S to be hard work personally, even as Tanzu but I wanted to learn Tanzu so. too many for me to hope that my company will be able to figure out 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. Byond this (aka how k3s/k8s uses the docker engine), is byond even the capabilities of us and iX to change so is pretty much irrelevant. Tools like Rancher make k8s much easier to set up and manage than it used to be. And in case of problems with your applications, you should know how to debug K8S. I use k3s as my petproject lab on Hetzner cloud Using terraform for provision network, firewall, servers and cloudflare records and ansible to provision etcd3 and k3s Master nodes: CPX11 x 3 for HA Working perfectly Original plan was to have production ready K8s cluster on our hardware. i tried kops but api Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ In case you want to use k3s for the edge or IoT applications, it is already production ready. it requires a team of people k8s is essentially SDD (software defined data center) you need to manage ingress (load balancing) firewalls the virtual network you need to repackage your docker containers in to helm or kustomize. I have only tried swarm briefly before moving to k8s. K3s vs K0s has been the complete opposite for me. I am trying to learn K8s/configs/etc but it is going to take a while to learn it all to deploy my eventual product to the… If you really want to get the full blown k8s install experience, use kubadm, but I would automate it using ansible. Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. I will say this version of k8s works smoothly. It uses DID (Docker in Docker), so doesn't require any other technology. Elastic containers, k8s on digital ocean etc. Which complicates things. K3s uses less memory, and is a single process (you don't even need to install kubectl). NixOS just manages k3s, zfs and some cronjobs that aren't migrate to k8s yet. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? 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. But in either case, start with a good understanding of containers before tackling orchestrators. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. But that's just a gut feeling. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. Depends what you want you lab to be for. harbor registry, with ingress enabled, domain name: harbor. Primarily for the learning aspect and wanting to eventually go on to k8s. If you're learning for the sake of learning, k8s is a strong "yes" and Swarm is a total waste of time. I'd looked into k0s and wanted to like it but something about it didn't sit right with me. So then I was maintaining my own helm charts. With self managed below 9 nodes I would probably use k3s as long as ha is not a hard requirement. If you use RKE you’re only waiting on their release cycle, which is, IMO absurdly fast. k3s. But K8s is the "industry standard", so you will see it more and more. K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. RPi4 Cluster // K3S (or K8S) vs Docker Swarm? Raiding a few other projects I no longer use and I have about 5x RPi4s and Im thinking of (finally) putting together a cluster. Portainer started as a Docker/Docker Swarm GUI then added K8s support after. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. If you have an Ubuntu 18. 04 or 20. The first thing I would point out is that we run vanilla Kubernetes. Google won't help you with your applications at all and their code. I would personally go either K3S or Docker Swarm in that instance. K8S is the industry stand, and a lot more popular than Nomad. That is not k3s vs microk8s comparison. Eventually they both run k8s it’s just the packaging of how the distro is delivered. ” To be honest even for CI/CD can be use as production. 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 this is on MicroOS or k3s. Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. Single master k3s with many nodes, one vm per physical machine. 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. 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. If you want, you can avoid it for years to come, because there are still 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. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. That Solr Operator works fine on Azure AKS, Amazon EKS, podman-with-kind on this mac, podman-with-minikube on this mac. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. Reply reply I have migrated from dockerswarm to k3s. k3s/k8s is great. the 2 external haproxy just send port 80 and 443 to the nodeport of my k8s nodes in proxy protocol. With K3s, installing Cilium could replace 4 of installed components (Proxy, network policies, flannel, load balancing) while offering observably/security. SMBs can get by with swarm. Most recently used kind, and used minikube before that. 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 been working on OCP platforms since 3. 04 use microk8s. But just that K3s might indeed be a legit production tool for so many uses cases for which k8s is overkill. com will resolve to your ingress controllers IP, e. If you need a bare metal prod deployment - go with Rancher k8s. 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 Digital ocean managed k8s offering in 1. How much K8s you need really depends on were you work: There are still many places that don't use K8s. 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 Our CTO Andy Jeffries explains how k3s by Rancher Labs differs from regular Kubernetes (k8s). I can't really decide which option to chose, full k8s, microk8s or k3s. Imho if you have a small website i don't see anything against using k3s. K3s does some specific things different from vanilla k8s but you’d have to see if they apply to your use-case. Used to deploy the app using docker-compose, then switched to microk8s, now k3s is the way to go. Anyone has any specific data or experience on that? Jan 18, 2022 · What is K3s and how does it differ from K8s? K3s is a lighter version of the Kubernetes distribution tool, developed by Rancher Labs, and is a completely CNCF (Cloud Native Computing Foundation [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. The middle number 8 and 3 is pronounced in Chinese. Working with 4 has been a breeze in comparison to anything 3. But in k8s, control plane services run as individual pods i. You aren’t beholden to their images. To run the stuff or to play with K8S. / to get an entire node (and because its k8s also multiple nodes) back up is a huge advantage and improvement over other systems. If you want to deploy helm charts in a K8s(k3s) /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app I couldn't find anything on the k3s website regarding swap, and as for upstream kubernetes, only v1. There is also better cloud provider support for k8s containerized workloads. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. Jan 20, 2022 · K8s is a general-purpose container orchestrator, while K3s is a purpose-built container orchestrator for running Kubernetes on bare-metal servers. 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. It seems quite viable too but I like that k3s runs on or in, anything. When viewing the blog and guides, many requests go to info. 1st, k3d is not k3s, its a "wrapper" for k3s. It was my impression previously that minikube was only supported running under / bringing up a VM. The same cannot be said for Nomad. If you're looking to use one in production, evaluate k8s vs HashiCorp Nomad. Here’s a reminder of how K8s, K3s, and K0s stack up: The focus should be how you deploy distributed apps on it, how you expose the services to other internal apps and to external API calls via k8s ingress, what type of ingress controller (ie nginx or istio, or traefik), how to authenticate for you apps (ie how to deploy argocd with keycloak for authentication), how to manage certificates using With sealed secrets the controller generates a private key and exposed to you the public key to encrypt your secrets. Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. 28 added beta support for it. Most likely setting resource limits at all, inherently changes how k3s requests resources to be allocated by default instead of on a as-needed basis. K8s management is not trivial. Do what you're comfortable with though because the usage influences the tooling - not the other way around Also while k3s is small, it needs 512MB RAM and a Linux kernel. 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 K3s & MetalLB vs Kube-VIP IP Address handling If one were to setup MetalLB on a HA K3s cluster in the “Layer 2 Configuration” documentation states that MetalLB will be able to have control over a range of IPs. k3s vs microk8s vs k0s and thoughts about their future I need a replacement for Docker Swarm. 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. K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. However I'd probably use Rancher and K8s for on-prem production workloads. K3s has a similar issue - the built-in etcd support is purely experimental. The general idea is that you would be able to submit a service account token after which Infisical could verify that the service The only thing I worry about is my Raspberry handling all of this, because it has 512mb ram. It was a pain to enable each one that is excluded in k3s. I've setup many companies on a docker-compose dev to kubernetes production flow and they all have great things to say k8s_gateway is a dns server (based on coredns) that runs inside the cluster, it exposes ingress hosts as A records that point to your ingress controllers LB IP, e. The downside is of course that you need to know k8s but the same can 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. If your goal is to learn about container orchestrators, I would recommend you start with K8S. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. It's still fullblown k8s, but leaner and more effecient, good for small home installs (I've got 64 pods spread across 3 nodes) I agree that if you are a single admin for a k8s cluster, you basically need to know it in-and-out. 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. Use Nomad if works for you, just realize the trade-offs. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. If you lose the private key in the controller you can’t decrypt your secrets anymore. when i flip through k8s best practices and up running orielly books, there is a lot of nuances. Cilium's "hubble" UI looked great for visibility. I'd say it's better to first learn it before moving to k8s. If anything you could try rke2 as a replacement for k3s. It just exploded after updating all palates (and k3s was still 7 patch levels behind on that minor version). 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. There is more options for cni with rke2. 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). See full list on cloudzero. You still need to know how K8S works at some levels to make efficient use of it. Rock solid, easy to use and it's a time saver. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. What are the benefits of k3s vs k8s with kubeadm? Also, by looking at k3s, I peak at the docs for Rancher 2. For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. 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). 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. 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 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/. As mentioned above, K3s isn’t the only K8s distribution whose name recalls the main project. IoT solutions can be way smaller than that, but if your IoT endpoint is a small Linux running ARM PC, k3s will work and it'll allow you things you'll have a hard time to do otherwise: update deployments, TLS shenanigans etc. People often incorrectly assume that there is some intrinsic link between k8s and autoscaling. Everyone’s after k8s because “thats where the money is” but truly a lot of devs are more into moneymaking than engineering. If you want to install a linux to run k3s I'd take a look at Suse. Production readiness means at least HA on all layers. I use K3S heavily in prod on my resource constricted clusters. In contrast, k8s supports various ingress controllers and a more extensive DNS server, offering greater flexibility for complex deployments. I'd be using the computer to run a desktop environment too from time to time and might potentially try running a few OSes on a hypervisor with something like Then you have a problem, because any good distributed storage solution is going to be complex, and Ceph is the "best" of the offerings available right now, especially if you want to host in k8s. Currently running fresh Ubuntu 22. Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em down 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. x related, which was an Ansible inventory-shaped nightmare to get deployed. IIUC, this is similar to what Proxmox is doing (Debian + KVM). K8S is very abstract, even more so than Docker. So it can seem pointless when setting up at home with a couple of workers. Rancher server works with any k8s cluster. With Talos you still get the simplified/easy Kubernetes with a superior OS to run it on out of the box. run as one unit i. So if you are up for a challenge, go with k8s, it is where the world is headed. But that is a side topic. Observation: Posted by u/ostridelabs - 1 vote and no comments Kubernetes inherently forces you to structure and organize your code in a very minimal manner. For a homelab you can stick to docker swarm. - Rancher managed - In this case, Rancher uses RKE1/2 or k3s to provision the cluster. 20 Go with kubernetes. 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. Too much work. Guess and hope that it changed What's the current state in this regard? Sure thing. e. 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. 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 Hey! Co-founder of Infisical here. K3s is only one of many kubernetes "distributions" available. Unlike the previous two offerings, K3s can do multiple node Kubernetes cluster. com May 30, 2024 · K3s is a lightweight, easy-to-deploy version of Kubernetes (K8s) optimized for resource-constrained environments and simpler use cases, while K8s is a full-featured, highly scalable platform suited for complex, large-scale applications. I love k3s for single node solutions, I use it in CI gor PR environments, for example, but I wouldn’t wanna run a whole HA cluster with it. 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. 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. Also, I'd looked into microk8s around two years ago. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. It also has a hardened mode which enables cis hardened profiles. P. Want it to be more like what you have now and make the learning curve a bit easier, go with swarm. 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. rke2 is a production grade k8s. K0s. Maybe I am missing something but my plan is to have two A records pointing k8s. However, due to technical limitations of SQLite, K3s currently does not support High Availability (HA), as in running multiple master nodes. An upside of rke2: the control plane is ran as static pods. 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. the haproxy ingress controller in k8s accept proxy protocol and terminates the tls. You are going to have the least amount of issues getting k3s running on Suse. local k8s dashboard, host: with ingress enabled, domain name: dashboard. 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. R. 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 Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. Rancher can also use node drivers to connect to your VMware, AWS, Azure, GCP, etc. K3s has some nice features, like Helm Chart support out-of-the-box. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. K3S seems more straightforward and more similar to actual Kubernetes. But imo doesnt make too much sense to put it on top of another cluster (proxmox). 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. We are Using k3s on our edge app, and it is use as production. So there's a good chance that K8S admin work is needed at some levels in many companies. <tld> to external ips of vpss. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. I would opt for a k8s native ingress and Traefik looks good. Swarm mode is nowhere dead and tbh is very powerful if you’re a solo dev. Does anyone know of any K8s distros where Cilium is the default CNI? Nov 10, 2021 · What is K3s and how does it differ from K8s? K3s is a lighter version of the Kubernetes distribution tool, developed by Rancher Labs, and is a completely CNCF (Cloud Native Computing Foundation) accredited Kubernetes distribution. Then reinstall it with the flags. From there, really depends on what services you'll be running. 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. 04LTS on amd64. e as systemd. Rancher’s paid service includes k8s support. 10. So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external sql backend or…etcd. e the master node IP. 2nd , k3s is certified k8s distro. Managing k8s in the baremetal world is a lot of work. 17 because of volume resizing issue with do now. From reading online kind seems less poplar than k3s/minikube/microk8s though. 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. We're actually about to release a native K8s authentication method sometime this week — this would solve the chicken and egg ("secret zero") problem that you've mentioned here using K8s service account tokens. I know k8s needs master and worker, so I'd need to setup more servers. Use k3s for your k8s cluster and control plane. The fact you can have the k8s api running in 30 seconds and the basically running kubectl apply -k . Since k3s is a fork of K8s, it will naturally take longer to get security fixes. I have a couple of dev clusters running this by-product of rancher/rke. k8s cluster admin is just a bit too complicated for me to trust anyone, even myself, to be able to do it properly. If you switch k3s to etcd, the actual “lightweight”ness largely evaporates. Let’s discuss some of the many things that make both K3s and K8s unique in their ways. But I cannot decide which distribution to use for this case: K3S and KubeEdge. No real value in using k8s (k3s, rancher, etc) in a single node setup. Plus k8s@home went defunct. 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 chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. Look into k3d, it makes setting up a registry trivial, and also helps manage multiple k3s clusters. In our testing, Kubernetes seems to perform well on the 2gb board. That's the direction the industry has taken and with reason imo. 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. 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 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. Hi, I've been using single node K3S setup in production (very small web apps) for a while now, and all working great. Jul 20, 2023 · Compare the differences between k3s vs k8s in our detailed guide, focusing on edge computing, resource usage, scalability, and home labs. 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 In professional settings k8s is for more demanding workloads. This means that YAML can be written to work on normal Kubernetes and will operate as intended against a K3s cluster. But really digital ocean has so good offering I love them. Imho if it is not crazy high load website you will usually not need any slaves if you run it on k8s. But that was a long time ago. Kubernetes discussion, news, support, and link sharing. Rancher seemed to be suitable from built in features. 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 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 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. 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. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. I made the mistake of going nuts deep into k8s and I ended up spending more time on mgmt than actual dev. It's a complex system but the basic idea is that you can run containers on multiple machines (nodes). The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. For K3S it looks like I need to disable flannel in the k3s. It is easy to install and requires minimal configuration. K8s is short for Kubernetes, it's a container orchestration platform. 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. 10. Tbh I don't see why one would want to use swarm instead. Both provide a cluster management abstra K3s does everything k8s does but strips out some 3rd party storage drivers which I’d never use anyway. I've setup many companies on a docker-compose dev to kubernetes production flow and they all have great things to say k8s_gateway, this immediately sounds like you’re not setting up k8s services properly. I'm using Ubuntu as the OS and KVM as the hypervisor. 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 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 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. This can help with scaling out applications and achieving High Availability (HA). mydomain. com and news. Suse releases both their linux distribution and Rancher/k3s. 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. api-server as one pod, controller as a separate pod Jul 20, 2023 · Ingress Controller, DNS, and Load Balancing in K3s and K8s. 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. There do pop up some production k3s articles from time to time but I didn't encounter one myself yet. I run these systems at massive scale, and have used them all in production at scales of hundreds of PB, and say this with great certainty. jzgz xctdnshvq vxwp seheq jbu xlo pknb knucma koduoy drct plmpisph qvp bjat qyn jtmr