K3s vs k8s reddit. Rancher seemed to be suitable from built in features.

K3s vs k8s reddit When it comes to k3s outside or the master node the overhead is non existent. 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. 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. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. Observation: the 2 external haproxy just send port 80 and 443 to the nodeport of my k8s nodes in proxy protocol. From reading online kind seems less poplar than k3s/minikube/microk8s though. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. But that is a side topic. 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. As a note you can run ingress on swarm. Imho if you have a small website i don't see anything against using k3s. With K8s, you can reliably manage distributed systems for your applications, enabling declarative configuration and automatic deployment. But that's just a gut feeling. Eventually they both run k8s it’s just the packaging of how the distro is delivered. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. Google won't help you with your applications at all and their code. May 5, 2021 · Since k3s is a fork of K8s, it will naturally take longer to get security fixes. 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. Get the Reddit app Scan this QR code to download the app now. ” To be honest even for CI/CD can be use as production. It's stable enough, plus you can use the mounted drives on the nodes directly. But in k8s, control plane services run as individual pods i. 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. OK, so I am going to have to pipe in with lots of salt. In this respect, K3s is a little more tedious to use than Minikube and MicroK8s, both of which provide a much simpler process for adding nodes. And it is obvious that this is not a production ready tool. 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. 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). Was put off microk8s since the site insists on snap for installation. And in case of problems with your applications, you should know how to debug K8S. 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 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. What's the difference between k3 vs microk8's? Mar 10, 2023 · Kubernetes, or K8S, is a powerful container orchestration platform. 04 use microk8s. Sure thing. Personnally I disable traefik and Klipper and use Nginx + MetalLb which is another software LB for k8s. However, due to technical limitations of SQLite, K3s currently does not support High Availability (HA), as in running multiple master nodes. Then reinstall it with the flags. K3S is a small, self-contained k8s distribution. It uses DID (Docker in Docker), so doesn't require any other technology. Depends what you want you lab to be for. 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. With sealed secrets the controller generates a private key and exposed to you the public key to encrypt your secrets. A subreddit run by Chris Short, author of the once popular DevOps'ish weekly newsletter, Kubernetes… 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. 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. Despite claims to the contrary, I found k3s and Microk8s to be more resource intensive than full k8s. Will initially run some classic homelab workloads (grafana, postgres, traefik and so on). Maybe I am missing something but my plan is to have two A records pointing k8s. It is a fully fledged k8s without any compromises. 04, and running "snap install microk8s --classic". 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. Microk8s also needs VMs and for that it uses Multipass. Quick question. Does K8S or K3s has any benchmarks published in terms of scaling, performance, HA and resources for multi-cluster node deployments. Reply reply 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. It is much more involved then Docker. Tbh I don't see why one would want to use swarm instead. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. Use Nomad if works for you, just realize the trade-offs. K3s has a similar issue - the built-in etcd support is purely experimental. api-server as one pod, controller as a separate pod K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. There is also better cloud provider support for k8s containerized workloads. On the plus side the forced rapid cadence from upstream k8s means that things can improve and there is enormous momentum behind it. Currently running fresh Ubuntu 22. Would external SSD drive fit well in this scenario? Great content! I was planning on throwing k3s on my recently acquired opi5. Ubuntu was super easy, but ultimately decided on Rocky for my HA setup, but there is a few more paper cuts. local k8s dashboard, host: with ingress enabled, domain name: dashboard. Single master k3s with many nodes, one vm per physical machine. Vanilla Kubernetes deployed with Kubespray on RHEL VMs in a private cloud (spread across three data centers). That Solr Operator works fine on Azure AKS, Amazon EKS, podman-with-kind on this mac, podman-with-minikube on this mac. NET workload to a Linux node group and save yourself a world of pain and I don’t just mean pain from the initial I have a raspberry pi cluster for my university dissertation, it had 3 overlays - MPI, SLURM and K3s. In the mean time, I was trying to set up a local K3s similar to how it would run in production. No real value in using k8s (k3s, rancher, etc) in a single node setup. P. The only difference is k3s is a single-binary distribution. Which complicates things. To run the stuff or to play with K8S. 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. If anything you could try rke2 as a replacement for k3s. K3s is a certified K8s distribution that packages upstream components into a self-contained binary, alongside customizations that optimize IoT, edge, and local development use cases. It was my impression previously that minikube was only supported running under / bringing up a VM. But it has to be underlined three times that it is also a single user tool, best for a developer who needs something simple on the their own rig, to integrate 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. I'd say it's better to first learn it before moving to k8s. I don't think there's an easy way to run Kubernetes on Mac without VMs. 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 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. Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. Yes, NFS is supported, I've used AWS's EFS for years, and straight NFS for months. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. That's the direction the industry has taken and with reason imo. Prod: managed cloud kubernetes preferable but where that is unsuitable either k3s or terraform+kubeadm. If skills are not an important factor than go with what you enjoy more. 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). One thing that might help answer your question of "why is this not default in k8s?" Podman was developed by Red Hat originally and these things are default in their version of k8s (OpenShift). There is more options for cni with rke2. run as one unit i. Below I leave a link to its table of contents. My goals are to setup some Wordpress sites, vpn server, maybe some scripts, etc. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. Do what you're comfortable with though because the usage influences the tooling - not the other way around. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ 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. / to get an entire node (and because its k8s also multiple nodes) back up is a huge advantage and improvement over other systems. This means they can be monitored and have their logs collected through normal k8s tools. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. I got rid of all my ancient MicroServers (they sold in 2021 for more than I bought them for in 2014!) and replaced the stuff they did with a NAS and two raspi's - not using k3s/k8s anywhere because of the same 'no workload = large CPU' overhead. Hey! Co-founder of Infisical here. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. The fact you can have the k8s api running in 30 seconds and the basically running kubectl apply -k . Make sure you have your DNS in order o Both k8s and CF have container autoscaling built in, so that's just a different way of doing it in my opinion. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. The downside is of course that you need to know k8s but the same can K8s is short for Kubernetes, it's a container orchestration platform. Aug 24, 2022 · K3s is a fully compliant Kubernetes distribution, it just has all the components combined into a single binary, even etcd if you choose that storage backend. Maybe someone here has more insights / experience with k3s in production use cases. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. I know k8s needs master and worker, so I'd need to setup more servers. Ah slow reply, sorry. As for k8s vs docker-compose: there are a few things where k8s gives you better capabilities over compose: actionable health checks (compose runs the checks but does nothing if they fail), templating with helm, kustomize or jsonnet, ability to patch deployments and diff changes, more advanced container networking, secrets management, storage Hi All- Trying to find some information about the best way to shutdown my entire k3s cluster. So there's a good chance that K8S admin work is needed at some levels in many companies. 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. Kubernetes inherently forces you to structure and organize your code in a very minimal manner. RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows 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. Both provide a cluster management abstra Yeah, for many smaller teams or projects, k8s is simply an overkill. Posted by u/ostridelabs - 1 vote and no comments https://kurl. 2 with a 2. But if you need a multi-node dev cluster I suggest Kind as it is faster. 4K subscribers in the devopsish community. Any argument for going full k8s vs k3s? 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 . Kubernetes, or K8s, is an open-source, portable, and scalable container orchestration platform. I find K8S to be hard work personally, even as Tanzu but I wanted to learn Tanzu so. 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. Saw in the tutorial mentioned earlier about Longhorn for K3s, seems to be a good solution. 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. If you have an Ubuntu 18. Apr 15, 2023 · While k3s and k0s showed by a small amount the highest control plane throughput and MicroShift showed the highest data plane throughput, usability, security, and maintainability are additional factors that drive the decision for an appropriate distribution. Virtualization is more ram intensive than cpu. 9+k3s1 Hello guys, I want to ask you how is better to start learn k8s and if it s worth to deploy my own cluster and which method is the best ? I have a dell server 64gb ram, 8TB, 2x Intel OCTA Core Xeon E5-2667 v3, already running proxmox from 1 year, and I m looking for best method to learn and install k8s over proxmox, thank you!! Ooh that would be a huge job. e. K3S seems more straightforward and more similar to actual Kubernetes. 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 However I'd probably use Rancher and K8s for on-prem production workloads. You still need to know how K8S works at some levels to make efficient use of it. RKE can set up a fully functioning k8s cluster from just a ssh connection to a node(s) and a simple config file. Why? Dunno. rke2 is a production grade k8s. 04LTS on amd64. Production readiness means at least HA on all layers. Imho if it is not crazy high load website you will usually not need any slaves if you run it on k8s. Every single one of my containers is stateful. An upside of rke2: the control plane is ran as static pods. I believe you can do everything on it you can on k8s, except scale out the components independently. 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. How do you manage docker without K8s, since containers are ephemeral. But imo doesnt make too much sense to put it on top of another cluster (proxmox). It cannot and does not consume any less resources. Jul 10, 2024 · Differences between K3s and K8s: While K3s is compatible with Kubernetes and supports most Kubernetes APIs and features, there are several key differences that set it apart: Resource Consumption: K3s has a significantly smaller footprint compared to a full-fledged Kubernetes cluster. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. e the master node IP. IIUC, this is similar to what Proxmox is doing (Debian + KVM). A lot of the hassle and high initial buy-in of kubernetes seems to be due to etcd. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. I have migrated from dockerswarm to k3s. I have only tried swarm briefly before moving to k8s. Docker is a lot easier and quicker to understand if you don't really know the concepts. By self-contained I mean it ships with containerd embedded in it, so you don't even need to install that. CNI is Cilium (love it) and PortWorx is used for distributed storage. On Mac you can create k3s clusters in seconds using Docker with k3d. 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. maintain and role new versions, also helm and k8s k3s vs microk8s vs k0s and thoughts about their future I need a replacement for Docker Swarm. Esentially create pods and access it via exec -it command with bash. Tools like Rancher make k8s much easier to set up and manage than it used to be. The general idea is that you would be able to submit a service account token after which Infisical could verify that the service Hi I am currently working in a lab who use Kubernetes. 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. Personally- I would recommend starting with Ubuntu, and microk8s. I have a couple of dev clusters running this by-product of rancher/rke. Homelab: k3s. That is not k3s vs microk8s comparison. Sep 12, 2023 · Here are the key differences between K3s and K8s — and when you should use each. Cilium's "hubble" UI looked great for visibility. This can help with scaling out applications and achieving High Availability (HA). <tld> to external ips of vpss. May 5, 2021 · Since k3s is a fork of K8s, it will naturally take longer to get security fixes. 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. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. too many for me to hope that my company will be able to figure out 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. But just that K3s might indeed be a legit production tool for so many uses cases for which k8s is overkill. In professional settings k8s is for more demanding workloads. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? K3s has some nice features, like Helm Chart support out-of-the-box. when i flip through k8s best practices and up running orielly books, there is a lot of nuances. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. Reddit has long been a hot spot for conversation on the internet. 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 So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external sql backend or…etcd. If you look for an immediate ARM k8s use k3s on a raspberry or alike. 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 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. K3S is legit. 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. Would probably still use minikube for single node work though. S. 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. but alas, also taking a while to learn how to set everything up. Hi, I've been using single node K3S setup in production (very small web apps) for a while now, and all working great. k8s cluster admin is just a bit too complicated for me to trust anyone, even myself, to be able to do it properly. Original plan was to have production ready K8s cluster on our hardware. From there, really depends on what services you'll be running. The first thing I would point out is that we run vanilla Kubernetes. The K3s team plans to address this in the future. Take a look and let me know which I tried k3s, alpine, microk8s, ubuntu, k3os, rancher, etc. We use docker-compose locally. So then I was maintaining my own helm charts. 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 Get the Reddit app Scan this QR code to download the app now. 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. If you assign only 1 Ip to metalLb (you can assign a range), you don't even need DNS round-robin, you've got a one single entrypoint IP for your whole cluster. Here is what I did that has worked out well. May 4, 2022 · sudo k3s server & If you want to add nodes to your cluster, however, you have to set K3s up on them separately and join them to your cluster. 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. Plus k8s@home went defunct. I use k8s for the structure it provides, not for the scalability features. If you switch k3s to etcd, the actual “lightweight”ness largely evaporates. 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 have both K8S clusters and swarm clusters. The same cannot be said for Nomad. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. But maybe I was using it wrong. Or check it out in the app stores Don t use minikube or kind for learning k8s. At least the non-root containers part is default. 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. Standard k8s requires 3 master nodes and then client l/worker nodes. K3s is only one of many kubernetes "distributions" available. Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em down harbor registry, with ingress enabled, domain name: harbor. The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. In our testing, Kubernetes seems to perform well on the 2gb board. It is easy to install and requires minimal configuration. 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/. Though k8s can do vertical autoscaling of the container as well, which is another aspect on the roadmap in cf-for-k8s. I use it for Rook-Ceph at the moment. I had a hell of a time trying to get k8s working on CentOS, and some trouble with Ubuntu 18. To recap, K8s is shorthand for Kubernetes, an open-source system for operating containerized apps in distributed environments. e as systemd. I disagree, a big reason I moved is the k3s engine chews up resources even when idle. 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. It requires less memory, CPU, and disk space, making it more 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. . I got some relevant documentation of using jupyter on a local host. Rancher seemed to be suitable from built in features. We are Using k3s on our edge app, and it is use as production. In recent years, Reddit’s array of chats also have been a free teaching aid for companies like Google, OpenAI and Microsoft. K3s uses less memory, and is a single process (you don't even need to install kubectl). 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. Counter-intuitive for sure. What are the benefits of k3s vs k8s with kubeadm? Also, by looking at k3s, I peak at the docs for Rancher 2. 04 or 20. Elastic containers, k8s on digital ocean etc. The best thing is, they show an example installation with minikube. If you are looking to run Kubernetes on devices lighter in resources, have a look at the table below. It also has a hardened mode which enables cis hardened profiles. With that said the only reason I would ever deal with K3s is for highly availability. Just using docker-compose for a few services and it's working great. If you lose the private key in the controller you can’t decrypt your secrets anymore. I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. x. 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. (no problem) As far as I know microk8s is standalone and only needs 1 node. Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. 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. 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. (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 me the easiest option is k3s. SMBs can get by with swarm. Understanding the differences in architecture, resource usage, ease of management, and scalability can help you choose the best tool for your specific 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 could spend time learning manifests better, but id like to just have services up and running on the k3s. It's a complex system but the basic idea is that you can run containers on multiple machines (nodes). K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. k3s/k8s is great. sh is an open source CNCF certified K8S distro / installer that lets you also install needed add-ons (like cert-manager or a container registry) and manage upgrades easily. Primarily for the learning aspect and wanting to eventually go on to k8s. Docker still uses a VM behind the scenes but it's anyway lightweight. 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. 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 2. RKE2 is k3s with a more standard etcd setup and in general meant to be closer to upstream k8s. Table of contents of the Small homelab K8s cluster on Proxmox VE guide series. I'm currently building my home lab on a new K3s cluster using 8 Raspberry Pi 4B 8GB (3 control planes, 5 nodes), with: Cilium Longhorn MetalLB Prometheus Stack I use Ansible to deploy K3s, as well all above listed components. Use k3s for your k8s cluster and control plane. May 19, 2021 · Deep dive arch and capabilities differences between K8S & K3S, which one to prefer when. I use K3S heavily in prod on my resource constricted clusters. 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'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 haproxy ingress controller in k8s accept proxy protocol and terminates the tls. In case you want to use k3s for the edge or IoT applications, it is already production ready. vs K3s vs minikube Lightweight Kubernetes distributions are becoming increasingly popular for local development, edge/IoT container management and self-contained application deployments. Unlike the previous two offerings, K3s can do multiple node Kubernetes cluster. Getting a cluster up and running is as easy as installing Ubuntu server 22. The same Dockerfile that compose builds locally is the same file that Jenkins builds for prod. I have it running various other things as well, but CEPH turned out to be a real hog I'm an experienced Linux user but very new to Kubernetes. I'm using Ubuntu as the OS and KVM as the hypervisor. there’s a more lightweight solution out there: K3s It is not more lightweight. “designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. 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. Most recently used kind, and used minikube before that. Our goal is to eliminate the OS essentially, and allow you to focus on the cluster. Some context about my setup: version: v1. I run traefik as my reverse proxy / ingress on swarm. If you want a more serious cluster on bare metal I would advise using a hypervisor such as proxmox or perhaps microstack. Jul 20, 2023 · Compare the differences between k3s vs k8s in our detailed guide, focusing on edge computing, resource usage, scalability, and home labs. With Talos you still get the simplified/easy Kubernetes with a superior OS to run it on out of the box. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. While not a native resource like K8S, traefik runs in a container and I point DNS to the traefik container IP. K8s is a lot more powerful with an amazing ecosystem. It also lets you choose your K8S flavor (k3s, k0s) and install into air gapped Vms. 25. 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. Too much work. Guess and hope that it changed What's the current state in this regard? But I cannot decide which distribution to use for this case: K3S and KubeEdge. People often incorrectly assume that there is some intrinsic link between k8s and autoscaling. It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. I can't really decide which option to chose, full k8s, microk8s or k3s. 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. But that was a long time ago. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. A single vm with k3s For K3S it looks like I need to disable flannel in the k3s. 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. as you might know service type nodePort is the Same as type loadBalancer(but without the call to the cloud provider) R. There do pop up some production k3s articles from time to time but I didn't encounter one myself yet. 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. I would personally go either K3S or Docker Swarm in that instance. 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 Still, k3s would be a great candidate for this. k3s. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. The middle number 8 and 3 is pronounced in Chinese. Or check it out in the app stores Kubeadm, Kind and K3S. Is there a better way? I find it hard how anyone can deploy a single docker container without K8s. If you need a bare metal prod deployment - go with Rancher k8s. 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. 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 I signed up for AWS over a year ago, I played around a bit (not sure if I ever played around with their K8s service) So I essentially just wasted the free 1 year of most things. Then use k3s to provision kubernetes and use their local-path drivers to create pvc's. For a homelab you can stick to docker swarm. Full k8s. 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 cloud using K8s. coi wine kmkv drylmvi vkn aci bpq miso maqzaubc exuuc