K3s vs docker reddit. kind (kubernetes-in-docker) is what I use on my laptop to .

K3s vs docker reddit x (aka K8S). I am at the verge of moving to using Kubernetes via k3s and my hardware has expanded by a lot (I even have a RISC-V board in the VisionFive2 now and compiled my own kernel for it - 30 revisions in fact). Management can be done via other tools that are probably more suitable and secure for prod too (kubectl, k9s, dashboard, lens, etc). Docker Swarm is largely alive only thanks to similarity of its manifest format with Docker Compose. 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. So once you have harvester, you will also need an rke2 or k3s cluster running rancher (can be as simple as just the rancher docker container if you prefer). Or skip rancher, I think you can use the docker daemon with k3s, install k3s, cluster, and off you go. RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. I actually have a specific use case in mind which is to give a container access to a host’s character device, without making it a privileged container. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e. They, namely Minikube/K3D/Kind provide faster and easier cluster provisioning for development. The basic install is one binary and one config file. It is not recommended to run docker directly on your Proxmox VE Dec 5, 2019 · Instead put k3s in a container (e. NVME will have a major impact on how much time your CPU is spending in IO_WAIT. If that was not the case, getting things running on it would be as hard as using Hashicorp Nomad - you'd find yourself in an almost total vacuum of examples, tutorials etc. You can practice multi-node concepts without needing separate physical machines and get all the benefits and experience with none of the distractions. I wouldn't mind paying Docker if it was providing some value that I needed (like a public registry that I wanted to use), but now I can just use Rancher and it even gives the option of choosing my backend (containerd or docker) no cost either way which is great, although to be fair I don't know if the containerd backend also works with KinD. Docker compose is great and may be simpler. Most of the things that aren't minikube need to be installed inside of a linux VM, which I didn't think would be so bad but created a lot of struggles for us, partly bc the VMs were then Hi everyone, looking for a little bit of input on revamping my lab to go full k3s instead of doing docker (compose) per individual node like I am. Other IDEs can be connected through ssh. The windows version used to building the image needs to match exactly with the version the worker node is using, otherwise container goes to a crash Docker aims at running a single application in an isolated, self-contained environment. It supports any operating system that can run Docker, including major operating systems like Linux, macOS, and Windows. Then most of the other stuff got disabled in favor of alternatives or newer versions. If you just want to get/keep services running then Docker is proably a much simpler and more appropriate choice. One node is fine. Pick your poison, though if you deploy to K8S on your servers, it makes senses to also use a local K8S cluster in your developer machine to minimize the difference. Especially if it's a single node. And that's it. With Docker, things can automatically update themselves when you use watchtower. Then reinstall it with the flags. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. Finally I glossed over it, but in terms of running the cluster I would recommend taloslinux over k3s. All my devs are still using docker but clusters have been containerd for years. Personally, I'm doing both. Add Traefik proxy, a dashboard that reads the docker socket like Flame and Watchtower to auto-download updates (download, not install). Due to starting a cluster in a docker container, it can start faster compared to the VM alternatives. All kinds of file mount issues. Docker still produces OCI-compliant containers that work just fine in K8s. You could use it with k8s (or k3s) just as well as any other distro that supports docker, as long as you want to use docker! K3OS runs more like a traditional OS. a Docker Compose container translates to a Kubernetes Deployment, usually. Comtainerd implements CRI (container runtime Interface) while Docker only uses that and wraps the deamon and http Interface around it. K3s is a distribution of kubernetes that’s easy to install and self-manage with lower resource use than other distros (making it great for raspberry pi clusters and other edge/embedded environments). I understand the basic idea behind Kubernetes I just don't know if it would even work out for my use-case. I use k3s because I am familiar with kubernetes and it is probably more powerful. I understand I could use docker swarm, but I really want to learn the Kubernetes side of things and with my hardware below I think k3s is (probably?) the right fit. I use Hetzner Cloud and I just provisioned the machine with Ansible with just Ubuntu and Docker, and also with Ansible I set up the master and the workers for K3S. Host networking won't work. would allow me to ALSO deploy to the cloud easier. K3s is a tiny binary that implements the complete Kubernetes Oct 28, 2024 · K3s和Docker各有千秋，选择哪种技术取决于具体的业务需求和场景。 K3s以其轻量级和功能完备的特点，适合需要Kubernetes功能但资源受限的场景；而Docker凭借其简洁的容器化和丰富的生态，适合快速开发和单一应用部署。 I recommend Talos Linux, easy to install, You can run it in docker or vm locally on your host. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. I'm using Ubuntu as the OS and KVM as the hypervisor. Aug 1, 2023 · Also, I have several pieces of content comparing Kubernetes distributions, such as k0s vs k3s and k3s vs k8s, to understand your various options better when spinning up a Kubernetes cluster. But imo doesnt make too much sense to put it on top of another cluster (proxmox). Each host has it's own role : K3s, Rancher and Swarm are orchestrators. While both provide mechanisms to manage and orchestrate containers, they differ in several key aspects. Sort of agree. Every single one of my containers is stateful. I use Docker with Docker-Compose (hand-written separate yaml files) to have ephemeral services with a 'recipe' to spin up in a split second if anything happens to my server and to have service files etc. In terms of updating- HAOS can update itself. I have all the k3s nodes on a portgroup with a VLAN tag for my servers. 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. I'm reviving this (old) thread because I was using traefik and just discovered Nginx Proxy Manager. A Linux vm is a Linux vm Settled for k3s because it's as easy to install as Docker Swarm, even includes Traefik. Same resources, etc. I am the technical lead of Monokle Desktop and I would be more than happy to hop on a call with you to try and figure out what the problem was and see if we can get it working for you. On Linux you can have a look in /run and you will find both a docker. Installing k3s is simple and is a single binary you download and run. Every single tutorial I found was about disabling integrated Traefik and using something else - maybe just because you can. 04, and the user-space is repackaged from alpine. From there, really depends on what services you'll be running. 8). K3s also allows you to schedule apps on the master nodes, I don’t do this but it’s one of the main features of k3s. Hard to speak of “full” distribution vs K3S. IIUC, this is similar to what Proxmox is doing (Debian + KVM). It is primarily optimized for CI pipelines. Just a simple reddit post wont get you far if you want to get into it. So where is the win with Podman? K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. Yes but there's other ways to do it with PXE booting and netboot. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. See if you have a Docker Compose for which there are public Kubernetes manifests, such as the deployments I have in my wiki, and you'll see what I mean with that translation. I wonder if using Docker runtime with k3s will help? Note - I am 'not' going to push any images to docker-hub or the like. Swarm is We would like to show you a description here but the site won’t allow us. The Ryzen 7 node was the first one so it's the master with 32GB but the Ryzen 9 machine is much better with 128GB and the master is soon getting an upgrade to 64GB Raiding a few other projects I no longer use and I have about 5x RPi4s and Im thinking of (finally) putting together a cluster. These days i heard of the k3s and i wondered if is valid to use k3s instead of pure docker in a real production environment aiming low end servers. Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em down I have been using docker-in-docker in kubernetes pod for various docker operations like image building, image pull and push, saving images as tar and extracting it. 2 with a 2. 11. Mar 10, 2023 · Check out our articles on Kubernetes vs Docker and Understanding K3s for a comprehensive comparison and deeper insights into these powerful platforms. If you are paying for RedHat support they probably can help and support cri-o, other than that it doesn't matter what CRI you use as long as it follow the standard. Strictly for learning purposes - Docker Swarm is kinda like K8s on easy mode. by using rancher/k3s) which also allows you to easily run several independent instances. It's a lot more complicated than docker-compose, but also much more powerful. Understanding docker made kubernetes much easier to learn I'm a Docker (docker-compose) user since quite a while now It served me well so far. Thanks for sharing. It's not good for reimplementing and centralizing what you have. And it can get pretty complex. And they do a lot more than this, but that's the big piece of it for what you want. Kubernetes had a steep learning curve, but it’s pretty ubiquitous in the real world and is widespread so there’s good resources for learning and support. 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. Rock solid, easy to use and it's a time saver. Stuff I was hoping just learning to use K3s in place of Docker compose. Podman is more secure because it doesn't use a daemon with root access, but instead uses system and subprocesses. When building the images and running them with Docker everything works fine but after transferring to AKS the problems start. The big difference is that K3S made the choices for you and put it in a single binary. Still, lots of people electing to use it on brand new projects. As a result, this lightweight Kubernetes only consumes 512 MB of RAM and 200 MB of disk space. So for these containers, I'll be using Docker still. Wiping k3s off the OS is very easy and pretty much brings the OS back to its stock state. So here is what I recommend you do Take 1 host, and install docker, and spin up some containers. Any advice on deployment for k3s? I like k0s, k3s is nice too. Ingress won't work. legacy, alpha, and cloud-provider-specific features), replacing docker with containerd, and using sqlite3 as the default DB (instead of etcd). Too big to effectively run stanalone docker daemons, too small to justify dedicated management plane nodes. For immediate help and problem solving, please join us at https://discourse. Check out this post: k0s vs k3s – Battle of the Tiny Kubernetes distros Disclaimer: Hashicorp shilling inbound, but only because we did the hard work going from docker-swarm to k8s and settled on this. We would like to show you a description here but the site won’t allow us. For k3s, it would be the same as docker. So I just Googled a VS for these two. 04, Ubuntu has a strong focus on security, which is crucial for running containers in a production environment. In practice, it's fairly similar to docker-compose, with extra networking options. Docker swarm is basically dead, when Mirantis acquired docker enterprise they said that they would support it for two years. 0 - All in one secure Reverse-proxy, container manager with app store and authentication provider, and integrated VPN now has a Docker backup system + Mac and Linux clients available I might have a really stupid/totally obvious answer question for you, but struggling on it: I try to use docker in docker (dind) on a k3s cluster as container in a pod running rhel8(. 4. It was my impression previously that minikube was only supported running under / bringing up a VM. I've been running a k3s cluster at home for over two years now and there's very little maintanence of the control plane required (though my control plane runs on a single raspberry pi 4 using the k3s etcd shim, so the database is stored locally in sqlite). I am currently wondering if i should learn k3s and host everything on k3s, i know that this will have a learning curve but i can get it working on my free time, and when it is ready enough migrate all the data, or should i use the docker chart from truecharts and run everything with docker-compose as i was used to. It's meant to take your docker containers, and manage them: load balance, scaling, keep them running, run tasks, balance resources between nodes, etc. I started with swarm and moved to kubernetes. io | sh -. Plus k8s@home went defunct. Too much work. practicalzfs. These are generally referred to as “Application Containers”, rather than “System Containers”. k3s and rke in tons of production clusters, each has its place. Suse releases both their linux distribution and Rancher/k3s. Personally I am running Rancher in my homelab on worse hardware (late 2014 Mac mini) with k3s on Ubuntu Server and while it's not particularly fast, the performance of my Plex server is completely fine (and I'm not sure how much performance cost I am paying for Rancher). Ooh that would be a huge job. So far I'm experimenting with k3s on multiple photon VMs on the same physical host, for convenience, but I think I'm going to switch to k3s on Raspberry Pi OS on multiple Raspberry Pi 4B nodes for the final iteration. That way Docker services got HA without too much fuss. the limited single-process container approach of Docker is the main reason I chose lxd over Docker. A port-mapping will be some kind of Service, and a volume is a PersistentVolumeClaim. g. 10. Go with docker-compose and portainer. But when running on Kubernetes it seems both Redshift and Docker recommend the same runtime that to my understanding uses a daemon. Finally, Ubuntu's package We would like to show you a description here but the site won’t allow us. This hardly matters for deciding which tool to create/develop containers with. minicube if you have virtualbox but not docker on your system. Rich feature set: DevPod already supports prebuilds, auto inactivity shutdown, git & docker credentials sync, with many more features to come. Out of curiosity, are you a Kubernetes beginner or is this focused towards beginners? K3s vs K0s has been the complete opposite for me. lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. Docker Compose and k3s are two widely used tools in the containerization landscape. You can also use k3s. You manage a Docker instance from the host, using the Docker Engine command line interface. My only concern is related to whether it’s… too much? Maybe I can go with using docker compose and swarm (v3 integrates between the two). I want to make the switch as the tooling in kubernetes is vastly superior but I'm worried about cluster stability in k3s compared to docker swarm. k3s. Single node kubernetes is basically just docker with the declarative config. docker-compose is a Docker utility to run multiple containers and let them share volumes and networking via the docker engine features, runs locally to emulate service composition and remotely on Aug 8, 2024 · get reddit premium. x (aka Cattle)) and I'm currently toying with Rancher v2. You can make DB backups, container etc. K3s is a lightweight certified kubernetes distribution. Easily create multi-node Kubernetes clusters with K3s, and enjoy all of K3s's features Upgrade manually via CLI or with Kubernetes, and use container registries for distribution upgrades Enjoy the benefits of an immutable distribution that stays configured to your needs kind for local test clusters on a single system. It uses docker + k3s to create a multi-node setup right on your single machine. K3d is an open-source lightweight tool that allows you to create k3s clusters on docker containers. It can be achieved in docker via the —device flag, and afaik it is not supported in k8s or k3s. docker swarm (via docker-compose) will do things like scaling, but it doesn't go as far as k8s as for validating the health of your pods. . R. Cross IDE support: VS Code and the full JetBrains suite is supported. Portainer started as a Docker/Docker Swarm GUI then added K8s support after. Minikube/K3D/Kind all can work from Docker. Yes, it is possible to cluster the raspberry py, I remember one demo in which one guy at rancher labs create a hybrid cluster using k3s nodes running on Linux VMs and physical raspberry py. Qemu becomes so solid when utilizing kvm! (I think?) The qemu’s docker instance is only running a single container, which is a newly launched k3s setup :) That 1-node k3s cluster (1-node for now. https://k3d. If you have to have an on-prem docker solution, I cannot recommend Nomad highly enough. I then proceed and create 3 other VMs, create a new cluster via the Rancher UI and ran the provided docker command and boom, a cluster easy with a nice little GUI. 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. Docker streamlines the delivery of applications by isolating them from the infrastructure. I choose not to PXE boot because of the overhead due to the only thing I have installed on Debian 12 is k3s. While perhaps not as mainstream as the other options currently, it does have the best feature i've seen in agesa simple, single button push to reset your cluster to completely default and empty (quite valuable when you are testing things) I continue to think I have to learn/do all this probably full time job level hard devops crap to deploy to google, amazon, etc. It runs k8s inside a docker container. 24 kubernetes so i had to install 1. docker is a container engine, it makes you build and run usually no more than one container at most, locally on your PC for development purposes. Which complicates things. What's the advantage of microk8s? I can't comment on k0s or k3s, but microk8s ships out of the box with Ubuntu, uses containerd instead of Docker, and ships with an ingress add-on. Debian is still the best rock solid, trustworthy and secure DEB Linux distro. com with the ZFS community as well. 6+k3s1 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 Mar 13, 2023 · Docker is an open-source containerization platform that helps build, deploy, and manage containers. DevPod runs solely on your computer. It seems to be lightweight than docker. K8s is good if you wanna learn how docker actually goes and does all that stuff like orchestration, provisioning volumes, exposing your apps, etc. I’ll have one main VM which will be a Docker host. To run the stuff or to play with K8S. Reply reply Apr 5, 2022 · k3s version v1. xyz. Most recently used kind, and used minikube before that. K8S is very abstract, even more so than Docker. This includes Cloud hosted Options such as EKS, AKS and GKE and the upstream kubeadm. 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. k3s is great for testing but compared to talos it's night and day. I've tinkered with Docker Swarm, however it seems most of the information on web is really focused on K8s. In the case of a system that is not big but have a potential to grow, makes sense to use k3s and build a infrastructe model compatible with Kubernetes and be prepared to use k8s if it realy grows ? We would like to show you a description here but the site won’t allow us. One feature that stands out is called auto deployment . So it can seem pointless when setting up at home with a couple of workers. From my knowledge Minikube can also use VirtualBox. And I put all my config in github to allow me to rebuild with a script to pull it down along with installing k3s. Currently, that cluster must be a k3s or RKE2 cluster tho. My CI/CD is simple, I build my app image in CI, and for CD I just push (scp) to my VPS the docker-compose. a community for K8s/K3s provide diminishing returns for the complexity they pose in a small scale setup. Plenty of 'HowTos'… Apr 8, 2024 · K3s as an alternative. Apr 20, 2024 · You might notice the similarities between the names "K3s" and "K3d"; well, that's because it's basically k3s running on Docker. Docker is a lot easier and quicker to understand if you don't really know the concepts. Alternatively, if want to run k3s through docker just to get a taste of k8s, take a look at k3d (it's a wrapper that'll get k3s running on I’ve just rebuilt my docker powered self hosted server with k3s. Теперь пробуем подключиться к нашему кластеру: k3s_server:~$ sudo k3s kubectl get node NAME STATUS ROLES AGE VERSION k3s_server Ready control-plane,master 82s v1. Other Just a fyi, you don't really need k3d, you can just install k3s with the --docker option and it does the same and you get the official release. I've seen a lot of people talking about running Docker in an LXC container or a VM but I've not found any discussions comparing the two. In the last two years most of my lab's loads have undergone multiple migrations: VMs > LXC containers > Docker containers (Docker Swarm > Rancher v1. sock in there. 41 users here now. , and couldn't just take a docker-compose. This will manage storage and shares, as for some reasons I don’t like how Proxmox manage storage. I’ve seen similar improvements when I moved my jail from HDD to NVME pool, but your post seems to imply that Docker is much easier on your CPU when compared to K3s, that by itself doesn’t make much sense knowing that K3s is a lightweight k8s distribution. I did not find a single tutorial how to just deploy a service and enable routing by sub-domain with Traefik. If the developers are already using docker and a makefile, can they switch to using k3s local with a kaniko running? Or rancher desktop which install a K3s (but it uses more memory and create a VM). You'll also not get it with docker swarm, which will fight you every step of the way. Docker Swarm Rocks has a good guide that i modeled a lot after, but subdomains was a bit of a pain, which is why im looking at nginx manager. It also has a wide range of pre-built images available on Docker Hub, making it easier for users to get started with Docker and deploy containers quickly. I used Ubuntu for 15y or so, I lost the trust on it. They are pretty much the same, just backed by different companies, containerd is backed by docker (and used by docker) and cri-o is backed by RedHat. Both docker, k8s, and haos, ALL just runs a container. I can run VM, LXC or Docker whenever I want. Possibly because I'm bored and want to learn new tools and information I'm interested in learning about HA setups. There're many mini K8S products suitable for local deployment, such as minikube, k3s, k3d, microk8s, etc. If you want to install a linux to run k3s I'd take a look at Suse. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. k3s/k8s is great. I've had countless issues with docker from Docker for Desktop when using Minikube. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. yml file and run it with an ssh command. Im also having trouble getting Rancher or Kubernetes Dashboard working for my external host. Developers looking for a middle ground between Docker Swarm’s lightweight simplicity and Kubernetes’ heavy complexity, might want to consider a new platform, K3s. So then I was maintaining my own helm charts. Some people in the comments are recommending docker-compose for similar reasons. To download and run the command, type: Based on the article install docker-compose ubuntu 20. 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) In terms of efficiency, its the same. As you mentioned, metallb is what you should use as loadbalancer. and the future rke2 I've had in the lab with shares much with k3s, it don't use docker and comes with its own containerd, you can feel the overlap in RKE2, but it was built for FIPS compliance in government/financial clusters so they are targeting different areas that really need Oct 20, 2024 · Moved my stack to Kubernetes (running on K3S) about 8 months ago, mostly as an excuse to get up to speed with it in a practical sense (we have a Jun 30, 2023 · It means Kubernetes-IN-Docker. Might be also OpenMediaVault (it appears you can run Docker easily on this) or Ubuntu or any other Linux. and god bless k3d) is orchestrating a few different pods, including nginx, my gf’s telnet BBS, and a containerized K3s achieves its lightweight goal by stripping a bunch of features out of the Kubernetes binaries (e. Depends what you want you lab to be for. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. There is also k0s. E. Docker for basic services and K3s as an experimental platform to enable familiarity with Kubernetes. not true - Rancher can be installed on any CNCF certified Kubernetes distro. ChatGPT helped build that script in no time. sock and a containerd. Using Vagrant (with VirtualBox) and running Linux in a real VM and from there installing docker+minikube is a MUCH better experience. The only thing I worry about is my Raspberry handling all of this, because it has 512mb ram. I tried to expose /run/k3s/containerd Hey, thanks for the reply. It would only make a difference when you run say a dozen Docker containers sharing kernel resources vs a dozen jails but this gets deep into the “VM vs Docker” performance debate. docker-compose is just running docker with YAML definitions. In addition to the distribution, there is also a k3d utility that manages k3s nodes running in a Docker container. I'm sorry to hear that you had difficulty connecting to your on-prem K3s clusters and that the UI didn't provide enough feedback for you to troubleshoot the issue. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). Docker is not installed, nor podman is. io/v5. As for my recommendation, I really like Ceph for standalone stuff. 23 🆕 Cosmos 0. It is developed by official Kubernetes project maintainers. I would personally go either K3S or Docker Swarm in that instance. At the moment ive only used Portainer, which I loathe. But in short the Docker deployment enables separating applications from infrastructure. Sep 13, 2021 · In the simplest case, you can use Docker Desktop to run the cluster as part of a single node (no fully-fledged virtualization system is required). My biggest problems so far have been related to host OS compatibility. It works well. But you can install on virtual or bare metal. k3s for small (or not so small) production setups. This rancher cluster which can run anywhere including on top of harvester in vms is then your mgmt cluster and imports the harvester cluster. But that was a long time ago. From my (albiet very limited) experience from managing LXC containers, they aren't a solution to deploying NextCloud from a docker-compose-like file. If you are on windows and just looking to get started, don't leave out Docker Desktop. Yesterday I upgraded talos on my 3 node cluster (one at a time). Homebox is what I needed and works well. I find K8S to be hard work personally, even as Tanzu but I wanted to learn Tanzu so. That way they can also use kubectl and build local and push to the registry. Nomad is to me, what Docker Swarm should have been, a simple orchestration solution, just a little more elaborate than Docker Compose. Everything has to be LAN-only. but then realized that rancher cant run on 1. Client-only: No need to install a server backend. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. But I want to automate that process a little bit more, and I'm kinda facing my limits with bash scripting etc. Sort of disagree. 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. k3s has been installed with the shell script curl -sfL https://get. But why stop there? Take your knowledge to the next level with our free Kubernetes course , complete with demos and real-world scenarios to help you master this essential tool. No need for redundancy nor failover at all. Personally I’ve had great success running k3s + containerd on bare metal. Containerd comes bundled alongside other components such as CoreDNS, Flannel etc when installing k3s. Anyone has any specific data or experience on that? personally, and predominantly on my team, minikube with hyperkit driver. Ive got an unmanaged docker running on alpine installed on a qemu+kvm instance. 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 Docker is no longer supported as a containerd for K8s. But now as Kubernetes has deprecated the dockerd and most of managed K8s cluster are using containerd. k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. It supports high availability and multi node clusters. It's not supported anywhere as "managed Kubernetes" like standard Kubernetes is with the major cloud providers. 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 I can say, what you're looking for you're not going to get with docker and docker-compose without building out your own infrastructure. Is it possible to just remove the agent I currently have on my master node, and use docker runtime, so that I can then use docker/docker-compose to run apps there side by side with k3s agent? I tried following this by doing something like: ``` Getting started locally is ridiculously easy, either with minikube or k3s. Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. Talos Linux is one of the new 2nd generation distros that handle the concept of ephemeral Or you can drop a rancher server in docker and then cluster your machines, run kubernetes with the docker daemon, and continue to use your current infrastructure. Efficiency is the same. The kernel comes from ubuntu 18. Rancher can only provision RKE/RKE2 and k3s but can manage ANY distro and can be installed on any distro via Helm. That should work great. 6+k3s1 (3228d9cb) go version go1. Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. I would prefer to not run one VM only for that, and another for the k3s master + agent. K3s is compliant k8s but trimmed down and made for limited resources. With Kubernetes, you can use keel to automate updating things. It allows you to deploy your Kubernetes manifests and Helm charts by putting them in a specific directory. I gave it a quick shot and I was able to start the Rancher UI in a VM. e. Also with swarm, when a node dies, the service has no downtime. kind (kubernetes-in-docker) is what I use on my laptop to Docker is also using containerd in the background. And k3d isn't the 'container' version of it, it just change the backend from containerd to docker. This means it can take only a few seconds to get a fully working Kubernetes cluster up and running after starting off with a few barebones VPS runn I've lost all my pictures 3 times and decided to create an ubuntu VM with Docker for the ame reason as the other comments. Swarm is good for pure stateless, replicated nodes. For basic use cases, 15 hours of study and practice will get most professionals in a place where they can replace docker-compose. Jul 24, 2023 · A significant advantage of k3s vs. In a way, K3S bundles way more things than a standard vanilla kubeadm install, such as ingress and CNI. Running on k3s also allows us to work with a more uniform deployment method then if we would run on docker swarm or something similar. Night and day. I don't love Docker, I love simplicity. I can explain the process of getting a docker-enabled app running on a new machine inside of a paragraph. Do you need the full suite of tools provided by docker? If not, using containerd is also a good option that allows you to forego installing docker. Knowing what a pod is and how a service works to expose a group of them and you're already past what docker-compose could do for you. Kubernetes is the "de-facto" standard for container orchestation, it wins over Docker Swarm, Mesosphere, CoreOS Fleet but not over Hashicorp tools. You are going to have the least amount of issues getting k3s running on Suse. It just so happened I needed new clusters during the suse fallout and certain project future were unclear. As I’m fairly familiar with k8s, I thought about going k3s for a cluster. With Docker, developers can package and run applications alongside their dependencies in loosely isolated environments known as containers. The "advantage" of doing this would be replacing the docker daemon abstraction with systemd Like I said, Docker comes down to one thing: Simplicity. It's basically an entire OS that just runs k8s, stripped down and immutable which provides tooling to simplify upgrades and massively reduce day 2 ops headaches. Thank you for your detailed post! I discovered all the other services you're using and I'm somehow interested to level up a bit my setups (right now only docker-compose with traefik). Docker Compose vs k3s: What are the differences? Introduction. This means they are in charge of getting the containers running on the various docker servers. I myself am using just a simple docker host for my hobby needs since i never wanted to get into kubernetes but since im interested in it now for work im learning it. for local development on Kubernetes. Background: I've been running a variety of docker-compose setups for years on the LAN and was thinking of trying again to spin up a k3s instance to compare it with. For example, in a raspberry py, you wouldn't run k3s on top of docker, you simply run k3s directly. Nearly like the first time learning linux. All managed from Portainer with an agent. If you already have something running you may not benefit too much from a switch. I just started playing with docker but I've been using Linux for an eternity. When reading up on "Podman vs Docker" most blogs tell the same story. Installing k3s. One node decided to use the wrong nic for ntp which stalled the reboot process. then realized i was running 32bit after installing k3s so i had to install 64bit and then install it. DONT run Immich in k3s, you will remember. separated from 'save files'. For any customer allowing us to run on the cloud we are defaulting to manage k8s like GKE. K3S on its own will require separate VMs/metal nodes to spin up a multi-node cluster. ah yeah see i originally had my one RP4 as a docker container host and had pihole installed with unbound as a system service and i completely forgot about it. 6/ Hello, I currently have a few (9) docker hosts (vm's (2 physical hosts) and one Pi). It also has k3s built in. I've recently watched a lot videos on Consul and K3s and it seems like a lot of the concepts with these setups are the same. 22. K3s eliminates the complexity of Kubernetes and provides a lighter, more accessible experience. Sideros Talos is taking over for me where k3s and rancher once stood. 16. KinD is my go-to and just works, they have also made it much quicker than the initial few versions. It is easy to install and requires minimal configuration. truenas join leave 39,729 readers. yml file from the repository and This post was just to illustrate how lighweight K3s is vs something like Proxmox with VMs. on my team we recently did a quick tour of several options, given that you're on a mac laptop and don't want to use docker desktop. Docker Swarm is there because I had my "production" in Docker already and I found it easier to jump from Docker to Swarm. KR Swarm use continues in the industry, no idea how/why as its completely unsupported, under maintained, and pretty much feature frozen. It's an excellent combo. Both provide a cluster management abstra Minikube is much better than it was, having Docker support is a big win, and the new docs site looks lovely. While the "industry" uses Ubuntu to run docker and everything else related to it, I prefer Debian (minimalist text only install). Hello thanks for using wazuh, The benefits of using one or the other will depend on your needs, but you can read about the pros and cons here. other Kubernetes distributions is its broad compatibility with various container runtimes and Docker images, significantly reducing the complexity associated with managing containers. I'd say it's better to first learn it before moving to k8s. k3s is my go to for quick deployments and is very easily expanded with new nodes while retaining full compatibility with other kubernetes distributions. Since k3s is a single binary, it is very easy to install itself directly on nodes, plus you have less requirements (no need for existing docker, containerd built-in, less system resource usage, etc). but since I met Talos last week I stayed with him. They keep changing directories names and screwing things up meaning that if you update the k3s you will loose everything (like me). I run multiple nodes, some cloud, two on-site with Ryzen 7 and Ryzen 9 CPUs respectively. Migrating VMs is always mind-blowing. For a homelab you can stick to docker swarm. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. Docker is (IMO) a bare engine, a foundation for more complex tools/platforms that can coincidentally run by itself. So it's been going well! In terms of management of all sorts of things though, I am dropping Monica. My experience is that somehow Docker applications require less resources so I can run more servers before performance suffers compared to say running a bunch of KVMs. As long as your oracle/ec2 are in a public subnet or you use a site to site vpn with tailscale there is no difference.