K3s vs k8s reddit. Use k3s for your k8s cluster and control plane.

K3s vs k8s reddit As a note you can run ingress on swarm. K3S is legit. And in case of problems with your applications, you should know how to debug K8S. It auto-updates your cluster, comes with a set of easy to enable plugins such as dns, storage, ingress, metallb, etc. e the master node IP. You are going to have the least amount of issues getting k3s running on Suse. It seems quite viable too but I like that k3s runs on or in, anything. e as systemd. harbor registry, with ingress enabled, domain name: harbor. An upside of rke2: the control plane is ran as static pods. But just that K3s might indeed be a legit production tool for so many uses cases for which k8s is overkill. So then I was maintaining my own helm charts. If you use RKE you’re only waiting on their release cycle, which is, IMO absurdly fast. 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. Both provide a cluster management abstra 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. rke2 is a production grade k8s. 04 use microk8s. The first thing I would point out is that we run vanilla Kubernetes. Which complicates things. Rancher seemed to be suitable from built in features. You get a lot with k8s for multi node systems but there is a lot of baggage with single nodes--even if using minikube. Anyone has any specific data or experience on that? 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. I know k8s needs master and worker, so I'd need to setup more servers. If you want to install a linux to run k3s I'd take a look at Suse. Kubernetes inherently forces you to structure and organize your code in a very minimal manner. api-server as one pod, controller as a separate pod The hand-holding did get annoying to me personally with GCP after a while though, since I was already pretty familiar with k8s. The fact you can have the k8s api running in 30 seconds and the basically running kubectl apply -k . From there, really depends on what services you'll be running. I'm using Ubuntu as the OS and KVM as the hypervisor. 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 the 2 external haproxy just send port 80 and 443 to the nodeport of my k8s nodes in proxy protocol. Nov 29, 2024 · K3s vs. Everyone’s after k8s because “thats where the money is” but truly a lot of devs are more into moneymaking than engineering. 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. K3s uses less memory, and is a single process (you don't even need to install kubectl). So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external sql backend or…etcd. You aren’t beholden to their images. Observation: K8s is short for Kubernetes, it's a container orchestration platform. 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). Primarily for the learning aspect and wanting to eventually go on to k8s. 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. Rock solid, easy to use and it's a time saver. Too much work. That is not k3s vs microk8s comparison. When it comes to k3s outside or the master node the overhead is non existent. Plus, look at both sites, the same format and overall look between them. com May 30, 2024 · K8s is that K3s is a lightweight, easy-to-use version of Kubernetes designed for resource-constrained environments, while K8s is a more feature-rich and robust container orchestration tool. This means they can be monitored and have their logs collected through normal k8s tools. k3s. We are Using k3s on our edge app, and it is use as production. But that was a long time ago. In contrast, k8s supports various ingress controllers and a more extensive DNS server, offering greater flexibility for complex deployments. If you want something more serious and closer to prod: Vagrant on VirtualBox + K3S. I can't really decide which option to chose, full k8s, microk8s or k3s. If skills are not an important factor than go with what you enjoy more. Original plan was to have production ready K8s cluster on our hardware. People often incorrectly assume that there is some intrinsic link between k8s and autoscaling. Use k3s for your k8s cluster and control plane. For a homelab you can stick to docker swarm. 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. So there's a good chance that K8S admin work is needed at some levels in many companies. P. 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. In our testing, Kubernetes seems to perform well on the 2gb board. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. But if you need a multi-node dev cluster I suggest Kind as it is faster. Virtualization is more ram intensive than cpu. But imo doesnt make too much sense to put it on top of another cluster (proxmox). 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 2. Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em down 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. 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 migrated from dockerswarm to k3s. 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 1st, k3d is not k3s, its a "wrapper" for k3s. - Rancher managed - In this case, Rancher uses RKE1/2 or k3s to provision the cluster. 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 Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. That being said, I didn’t start with k8s, so I wouldn’t switch to it. Get the Reddit app Scan this QR code to download the app now. The k8s pond goes deep, especially when you get into CKAD and CKS. Currently running fresh Ubuntu 22. It is easy to install and requires minimal configuration. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. run as one unit i. I checked my pihole and some requests are going to civo-com-assets. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. It is a fully fledged k8s without any compromises. 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 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. ams3. It also has a hardened mode which enables cis hardened profiles. Hey! Co-founder of Infisical here. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. local k8s dashboard, host: with ingress enabled, domain name: dashboard. Rancher server works with any k8s cluster. No real value in using k8s (k3s, rancher, etc) in a single node setup. K3s has some nice features, like Helm Chart support out-of-the-box. If you switch k3s to etcd, the actual “lightweight”ness largely evaporates. From reading online kind seems less poplar than k3s/minikube/microk8s though. and using manual or Ansible for setting up. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. when i flip through k8s best practices and up running orielly books, there is a lot of nuances. I'd looked into k0s and wanted to like it but something about it didn't sit right with me. With self managed below 9 nodes I would probably use k3s as long as ha is not a hard requirement. Additionally, K3s is ideal for edge computing and IoT applications, while K8s is better suited for large-scale production deployments. Or check it out in the app stores Don t use minikube or kind for learning k8s. A single vm with k3s k3s vs microk8s vs k0s and thoughts about their future I need a replacement for Docker Swarm. com and news. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? 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. But really digital ocean has so good offering I love them. Single master k3s with many nodes, one vm per physical machine. ” To be honest even for CI/CD can be use as production. 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. 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. RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. Since k3s is a fork of K8s, it will naturally take longer to get security fixes. 4K subscribers in the devopsish community. My goals are to setup some Wordpress sites, vpn server, maybe some scripts, etc. My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. It was my impression previously that minikube was only supported running under / bringing up a VM. too many for me to hope that my company will be able to figure out If you look for an immediate ARM k8s use k3s on a raspberry or alike. 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. But that is a side topic. <tld> to external ips of vpss. It's a complex system but the basic idea is that you can run containers on multiple machines (nodes). K3s does some specific things different from vanilla k8s but you’d have to see if they apply to your use-case. For K3S it looks like I need to disable flannel in the k3s. 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. I run traefik as my reverse proxy / ingress on swarm. I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. Docker is a lot easier and quicker to understand if you don't really know the concepts. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. R. Rancher’s paid service includes k8s support. 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 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. 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. K0s As mentioned above, K3s isn’t the only K8s distribution whose name recalls the main project. / to get an entire node (and because its k8s also multiple nodes) back up is a huge advantage and improvement over other systems. I use K3S heavily in prod on my resource constricted clusters. However K8s offers features and extensibility that allow more complex system setups, which is often a necessity. 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 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 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 disagree, a big reason I moved is the k3s engine chews up resources even when idle. maintain and role new versions, also helm and k8s If anything you could try rke2 as a replacement for k3s. Suse releases both their linux distribution and Rancher/k3s. Installation Jan 20, 2022 · Not only that, K3s can spin up clusters more quickly than K8s. K8s vs. 04 or 20. 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. Having experimented with k8s for home usage for a long time now my favorite setup is to use proxmox on all hardware. It uses DID (Docker in Docker), so doesn't require any other technology. 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. 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 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. Guess and hope that it changed What's the current state in this regard? Sure thing. I made the mistake of going nuts deep into k8s and I ended up spending more time on mgmt than actual dev. That Solr Operator works fine on Azure AKS, Amazon EKS, podman-with-kind on this mac, podman-with-minikube on this mac. Then most of the other stuff got disabled in favor of alternatives or newer versions. Plenty of 'HowTos' out there for getting the hardware together, racking etc. The middle number 8 and 3 is pronounced in Chinese. the haproxy ingress controller in k8s accept proxy protocol and terminates the tls. 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. This can help with scaling out applications and achieving High Availability (HA). (no problem) As far as I know microk8s is standalone and only needs 1 node. Unlike the previous two offerings, K3s can do multiple node Kubernetes cluster. 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/. Digital ocean managed k8s offering in 1. 04LTS on amd64. Also, I'd looked into microk8s around two years ago. It cannot and does not consume any less resources. However, due to technical limitations of SQLite, K3s currently does not support High Availability (HA), as in running multiple master nodes. A subreddit run by Chris Short, author of the once popular DevOps'ish weekly newsletter, Kubernetes… there’s a more lightweight solution out there: K3s It is not more lightweight. 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. e. 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. 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: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. 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. IIUC, this is similar to what Proxmox is doing (Debian + KVM). K8s is a general-purpose container orchestrator, while K3s is a purpose-built container orchestrator for running Kubernetes on bare K3S on the other hand is a standalone, production ready solution suited for both dev and prod workloads. Imho if you have a small website i don't see anything against using k3s. 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 both K8S clusters and swarm clusters. Maybe I am missing something but my plan is to have two A records pointing k8s. 2nd , k3s is certified k8s distro. S. Second, Talos delivers K8s configured with security best practices out of the box. Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. The same cannot be said for Nomad. . I'm either going to continue with K3s in lxc, or rewrite to automate through vm, or push the K3s/K8s machines off my primary and into a net-boot configuration. I get that k8s is complicated and overkill in many cases, but it is a de-facto standard. With sealed secrets the controller generates a private key and exposed to you the public key to encrypt your secrets. k3s/k8s is great. 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. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. Swarm mode is nowhere dead and tbh is very powerful if you’re a solo dev. 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. 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. digitaloceanspaces. While not a native resource like K8S, traefik runs in a container and I point DNS to the traefik container IP. Especially VMWare Virtual Machines given the cost of VMWare licensing. Plus k8s@home went defunct. Rancher can also use node drivers to connect to your VMware, AWS, Azure, GCP, etc. In fact Talos was better in some metric(s) I believe. But I cannot decide which distribution to use for this case: K3S and KubeEdge. If you have an Ubuntu 18. Use Nomad if works for you, just realize the trade-offs. Now I’m working with k8s full time and studying for the CKA. K3s does everything k8s does but strips out some 3rd party storage drivers which I’d never use anyway. 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. Cilium's "hubble" UI looked great for visibility. Still, k3s would be a great candidate for this. The downside is of course that you need to know k8s but the same can The truth of the matter is you can hire people who know k8s, there are abundant k8s resources, third-party tools for k8s, etc. Oh, and even though it's smaller and lighter, it still passes all the K8s conformance tests, so works 100% identical. See full list on cloudzero. Managing k8s in the baremetal world is a lot of work. The only difference is k3s is a single-binary distribution. If you are looking to learn the k8s platform, a single node isn't going to help you learn much. as you might know service type nodePort is the Same as type loadBalancer(but without the call to the cloud provider) Hi, I've been using single node K3S setup in production (very small web apps) for a while now, and all working great. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. You still need to know how K8S works at some levels to make efficient use of it. Standard k8s requires 3 master nodes and then client l/worker nodes. Welcome to /r/SkyrimMods! We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. 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 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 K3s vs K0s has been the complete opposite for me. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. But maybe I was using it wrong. I have been running k8s in production for 7 years. I chose k3s because it's legit upstream k8s, with some enterprise storage stuff removed. So it can't add nodes, do k8s upgrades, etcd backups, etc. “designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. 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. For k8s I expect hot reload without any downtime and as far as I can tell Nginx does not provide that. Eventually they both run k8s it’s just the packaging of how the distro is delivered. Here’s a reminder of how K8s, K3s, and K0s stack up: Used to deploy the app using docker-compose, then switched to microk8s, now k3s is the way to go. 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. Great overview of current options from the article About 1 year ago, I had to select one of them to make disposable kubernetes-lab, for practicing testing and start from scratch easily, and preferably consuming low resources. 6 years ago we went with ECS over K8s because K8s is/was over engineered and all the extra bells and whistles were redundant because we could easily leverage aws secrets (which K8s didn’t even secure properly at the time), IAM, ELBs, etc which also plugged in well with non-docker platforms such as lambda and ec2. 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. For running containers, doing it on a single node under k8s, it's a ton of overhead for zero value gain. 17 because of volume resizing issue with do now. I would opt for a k8s native ingress and Traefik looks good. Google won't help you with your applications at all and their code. The K3s team plans to address this in the future. K3s is easy and if you utilize helm it masks a lot of the configuration because everything is just a template for abstracting manifest files (which can be a negative if you actually want to learn). K3s has a similar issue - the built-in etcd support is purely experimental. Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. What are the benefits of k3s vs k8s with kubeadm? Also, by looking at k3s, I peak at the docs for Rancher 2. Jul 20, 2023 · Ingress Controller, DNS, and Load Balancing in K3s and K8s. Most recently used kind, and used minikube before that. 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. Every single one of my containers is stateful. Imho if it is not crazy high load website you will usually not need any slaves if you run it on k8s. I'd say it's better to first learn it before moving to k8s. K3S seems more straightforward and more similar to actual Kubernetes. 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. 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). When viewing the blog and guides, many requests go to info. Reply reply 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. There is more options for cni with rke2. 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. I have a couple of dev clusters running this by-product of rancher/rke. Portainer started as a Docker/Docker Swarm GUI then added K8s support after. 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 Saw in the tutorial mentioned earlier about Longhorn for K3s, seems to be a good solution. com. 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 use k8s for the structure it provides, not for the scalability features. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. , and provision VMs on your behalf, then lay RKE1/2 or k3s on top of those VMs. 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. I know could spend time learning manifests better, but id like to just have services up and running on the k3s. Using upstream K8s has some benefits here as well. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. 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. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. If you need a bare metal prod deployment - go with Rancher k8s. 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. The lightweight design of k3s means it comes with Traefik as the default ingress controller and a simple, lightweight DNS server. Production readiness means at least HA on all layers. 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. K8s management is not trivial. But in k8s, control plane services run as individual pods i. digitalocean. K3s is only one of many kubernetes "distributions" available. If you lose the private key in the controller you can’t decrypt your secrets anymore. [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. frk pmty gwdec wktfl jjwdw jwhzxy kjb ihzc hegff iylkc fzwwqi sdpl uqzebt inko kuyz