K3s vs docker reddit. Docker is not installed, nor podman is.
K3s vs docker reddit Swarm is 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). Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. io | sh -. It works well. 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. All kinds of file mount issues. Ingress won't work. 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. This means they are in charge of getting the containers running on the various docker servers. 04, and the user-space is repackaged from alpine. 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. 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. Of course we will have to wait and see. Then most of the other stuff got disabled in favor of alternatives or newer versions. Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em down 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). 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. For example, in a raspberry py, you wouldn't run k3s on top of docker, you simply run k3s directly. You can use a tool like kompose to convert docker compose files to kubernetes resources. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. VSCode integration for workflow management and development Months later, I have attempted to use k3s for selfhosting - trying to remove the tangled wires that is 30ish Docker Compose deployments running across three nodes. We used Hashicorp consul for the service discovery so we were able to handle relatively "small size of 1200" in Docker. [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. I don't love Docker, I love simplicity. a Docker Compose container translates to a Kubernetes Deployment, usually. They worked - but getting a good reverse proxy setup involved creating a VPN that spans two instances of Caddy that share TLS and OSCP information through Redis and only use DNS-01 I'm reviving this (old) thread because I was using traefik and just discovered Nginx Proxy Manager. 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. And I put all my config in github to allow me to rebuild with a script to pull it down along with installing k3s. There are other container runtimes (e. Docker Swarm is there because I had my "production" in Docker already and I found it easier to jump from Docker to Swarm. Thanks for sharing. The "advantage" of doing this would be replacing the docker daemon abstraction with systemd Like I said, Docker comes down to one thing: Simplicity. Comtainerd implements CRI (container runtime Interface) while Docker only uses that and wraps the deamon and http Interface around it. For a homelab you can stick to docker swarm. If you want to install a linux to run k3s I'd take a look at Suse. 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. Go with docker-compose and portainer. I tried k3s, alpine, microk8s, ubuntu, k3os, rancher, etc. I understand the basic idea behind Kubernetes I just don't know if it would even work out for my use-case. 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. Docker is not installed, nor podman is. DevPod runs solely on your computer. Client-only: No need to install a server backend. It's an excellent combo. Talos Linux is one of the new 2nd generation distros that handle the concept of ephemeral I have a few apps on a home server that I install with docker - immich, flatnotes. k3s is my go to for quick deployments and is very easily expanded with new nodes while retaining full compatibility with other kubernetes distributions. 8). 04, and running "snap install microk8s --classic". You can make DB backups, container etc. k3s/k8s is great. 3… honestly any tips at all because I went into this assuming it’d be as simple as setting up a docker container and I was wrong. I may purge one of my nodes over the summer and give this a whirl. Management can be done via other tools that are probably more suitable and secure for prod too (kubectl, k9s, dashboard, lens, etc). kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. On Linux you can have a look in /run and you will find both a docker. It also handles multimaster without an external database. KinD is my go-to and just works, they have also made it much quicker than the initial few versions. So where is the win with Podman? Docker swarm is basically dead, when Mirantis acquired docker enterprise they said that they would support it for two years. Also use Docker engine on a Linux VM, rather than Docker desktop on Windows/Mac if you want to explore what's going on. Stuff I was hoping just learning to use K3s in place of Docker compose. I would prefer to not run one VM only for that, and another for the k3s master + agent. It doesn’t feel right to me to add complexity to my homeops without getting any benefits. Docker also uses a socket though!? It's how you communicate with it. K3s is a lightweight certified kubernetes distribution. I would personally go either K3S or Docker Swarm in that instance. K8s is good if you wanna learn how docker actually goes and does all that stuff like orchestration, provisioning volumes, exposing your apps, etc. Unless you have some compelling reason to use docker, I would recommend skipping the multiple additional layers of abstraction and just use containerd directly. 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. But now as Kubernetes has deprecated the dockerd and most of managed K8s cluster are using containerd. 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 We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. 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. 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. For k8s I'd recommend starting with a vanilla distro like Kubeadm. You'll also not get it with docker swarm, which will fight you every step of the way. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. All managed from Portainer with an agent. There is also k0s. Note - I am 'not' going to push any images to docker-hub or the like. I'm using Ubuntu as the OS and KVM as the hypervisor. If you want Docker, just use Docker. 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. I started with swarm and moved to kubernetes. Getting a cluster up and running is as easy as installing Ubuntu server 22. https://k3d. 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 You might find (as I did) that just consolidating under docker-compose on a x86_64 box like a i3 NUC gets you rock solid stability and much more performance. As you mentioned, metallb is what you should use as loadbalancer. 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. DONT run Immich in k3s, you will remember. 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 Out of curiosity, are you a Kubernetes beginner or is this focused towards beginners? K3s vs K0s has been the complete opposite for me. Too big to effectively run stanalone docker daemons, too small to justify dedicated management plane nodes. It can also be deployed inside docker with k3d. and using manual or Ansible for setting up. KR 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. sock in there. Uninstall k3s with the uninstallation script (let me know if you can't figure out how to do this). I like k3s since it's a single binary and it had k3os if you get serious. I have all the k3s nodes on a portgroup with a VLAN tag for my servers. For any customer allowing us to run on the cloud we are defaulting to manage k8s like GKE. Personally, I'm doing both. k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. Then reinstall it with the flags. ChatGPT helped build that script in no time. Personally I’ve had great success running k3s + containerd on bare metal. legacy, alpha, and cloud-provider-specific features), replacing docker with containerd, and using sqlite3 as the default DB (instead of etcd). It can be achieved in docker via the —device flag, and afaik it is not supported in k8s or k3s. When reading up on "Podman vs Docker" most blogs tell the same story. podman) but most tutorials/examples are Docker so it's probably a better choice. sock and a containerd. k3s is great for testing but compared to talos it's night and day. 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. g. Might be also OpenMediaVault (it appears you can run Docker easily on this) or Ubuntu or any other Linux. 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. It's fine. 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. 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. I wonder if using Docker runtime with k3s will help? If you are on windows and just looking to get started, don't leave out Docker Desktop. View community ranking In the Top 1% of largest communities on Reddit. 6/ K3s, Rancher and Swarm are orchestrators. Especially if it's a single node. 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. Each host has it's own role : Strictly for learning purposes - Docker Swarm is kinda like K8s on easy mode. E. 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. personally, and predominantly on my team, minikube with hyperkit driver. In the last two years most of my lab's loads have undergone multiple migrations: VMs > LXC containers > Docker containers (Docker Swarm > Rancher v1. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e. 41 users here now. For k3s, it would be the same as docker. I can run VM, LXC or Docker whenever I want. 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. Swarm use continues in the industry, no idea how/why as its completely unsupported, under maintained, and pretty much feature frozen. We went to Kubernetes for the other things - service meshes, daemonsets. I’ve just rebuilt my docker powered self hosted server with k3s. 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). 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 This is a really cool idea. 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. I've had countless issues with docker from Docker for Desktop when using Minikube. e. Also, RancherOS was a Linux distro that was entirely run from docker containers, even the vast majority of the host system (using privileged containers and multiple Docker daemons etc) These days they've migrated all of that to Kubernetes, and they make k3os which is basically the same as RancherOS was, except k3s (k3s are their lightweight k8s). We can always just keep with what works now with jails and docker compose. Using Vagrant (with VirtualBox) and running Linux in a real VM and from there installing docker+minikube is a MUCH better experience. kind for local test clusters on a single system. Plus k8s@home went defunct. Currently running docker swarm so not sure if jumping over to K3s will be a major benefit other then K3s and K8s are used everywhere these days. 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. The only thing I worry about is my Raspberry handling all of this, because it has 512mb ram. Still, lots of people electing to use it on brand new projects. I like k0s, k3s is nice too. Also, the format isn't all that different. But it's not 100% compatible and there are things done differently. Docker is (IMO) a bare engine, a foundation for more complex tools/platforms that can coincidentally run by itself. But that hasn’t been enough to motivate me. 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. It also has k3s built in. 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 Minikube is much better than it was, having Docker support is a big win, and the new docs site looks lovely. But you can install on virtual or bare metal. This runs an instance of k3s to support all the Knative, Direktiv and container repos. This hardly matters for deciding which tool to create/develop containers with. I’ll have one main VM which will be a Docker host. I'd say it's better to first learn it before moving to k8s. Rich feature set: DevPod already supports prebuilds, auto inactivity shutdown, git & docker credentials sync, with many more features to come. All my devs are still using docker but clusters have been containerd for years. One node is fine. Plenty of 'HowTos' out there for getting the hardware together, racking etc. You are going to have the least amount of issues getting k3s running on Suse. Other 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. And they do a lot more than this, but that's the big piece of it for what you want. 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 can explain the process of getting a docker-enabled app running on a new machine inside of a paragraph. But imo doesnt make too much sense to put it on top of another cluster (proxmox). a community for 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. 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(. Suse releases both their linux distribution and Rancher/k3s. But when running on Kubernetes it seems both Redshift and Docker recommend the same runtime that to my understanding uses a daemon. Docker for basic services and K3s as an experimental platform to enable familiarity with Kubernetes. They keep changing directories names and screwing things up meaning that if you update the k3s you will loose everything (like me). NVME will have a major impact on how much time your CPU is spending in IO_WAIT. 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: ``` Docker is no longer supported as a containerd for K8s. Docker still produces OCI-compliant containers that work just fine in K8s. separated from 'save files'. 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 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. My notes/guide how I setup Kubernetes k3s, OpenFaaS, Longhorn, MetalLB, Private Docker registry The management of the docker compose stacks should be much better. K3s achieves its lightweight goal by stripping a bunch of features out of the Kubernetes binaries (e. Host networking won't work. 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 Jun 24, 2023 · Docker itself uses containerd as the runtime engine. Hello, I currently have a few (9) docker hosts (vm's (2 physical hosts) and one Pi). 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. If you just want to get/keep services running then Docker is proably a much simpler and more appropriate choice. Eh, it can, if the alternative is running docker in a VM and you're striving for high(ish) availability. 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. But that said, k3s seemed to work as advertised when I fiddled with it on a bunch of pi4 and one pi3+ box a while ago. And that's it. x (aka Cattle)) and I'm currently toying with Rancher v2. truenas join leave 39,729 readers. It was entirely manageable with clear naming conventions of service names. 🆕 Cosmos 0. So I just Googled a VS for these two. A port-mapping will be some kind of Service, and a volume is a PersistentVolumeClaim. Should I just install my K3S master node on my docker host server. But I want to automate that process a little bit more, and I'm kinda facing my limits with bash scripting etc. IIUC, this is similar to what Proxmox is doing (Debian + KVM). I tried to expose /run/k3s/containerd Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. Understanding docker made kubernetes much easier to learn It's not supported anywhere as "managed Kubernetes" like standard Kubernetes is with the major cloud providers. You can also use k3s. I'm a Docker (docker-compose) user since quite a while now It served me well so far. for local development on Kubernetes. Rock solid, easy to use and it's a time saver. It is easy to install and requires minimal configuration. Everything has to be LAN-only. It's not good for reimplementing and centralizing what you have. Night and day. k3s has been installed with the shell script curl -sfL https://get. 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). yml file and run it with an ssh command. 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 Aug 8, 2024 · get reddit premium. I recommend Talos Linux, easy to install, You can run it in docker or vm locally on your host. Depends what you want you lab to be for. Ooh that would be a huge job. Add Traefik proxy, a dashboard that reads the docker socket like Flame and Watchtower to auto-download updates (download, not install). Anyone has any specific data or experience on that? Docker is a lot easier and quicker to understand if you don't really know the concepts. It would be interesting to use k3s to learn some k8s. Using older versions of K3S and Rancher is truly recommended. 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. Migrating VMs is always mind-blowing. k3s for small (or not so small) production setups. R. No need for redundancy nor failover at all. As for my recommendation, I really like Ceph for standalone stuff. but since I met Talos last week I stayed with him. As a result, this lightweight Kubernetes only consumes 512 MB of RAM and 200 MB of disk space. So here is what I recommend you do Take 1 host, and install docker, and spin up some containers. Containerd comes bundled alongside other components such as CoreDNS, Flannel etc when installing k3s. 11. kind (kubernetes-in-docker) is what I use on my laptop to Thanks for sharing. Also with swarm, when a node dies, the service has no downtime. minicube if you have virtualbox but not docker on your system. io/v5. Too much work. 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) Finally I glossed over it, but in terms of running the cluster I would recommend taloslinux over k3s. . Podman is more secure because it doesn't use a daemon with root access, but instead uses system and subprocesses. Every single one of my containers is stateful. It seems to be lightweight than docker. Which complicates things. 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. I currently use portainer in my docker jail to install and manage my stacks and would expect that the native solution would be at least as good. k3s. Portainer started as a Docker/Docker Swarm GUI then added K8s support after. Other IDEs can be connected through ssh. A Docker development environment (A Direktiv instance on your laptop or desktop!). 4. I find K8S to be hard work personally, even as Tanzu but I wanted to learn Tanzu so. 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 This will manage storage and shares, as for some reasons I don’t like how Proxmox manage storage. Kubernetes is the "de-facto" standard for container orchestation, it wins over Docker Swarm, Mesosphere, CoreOS Fleet but not over Hashicorp tools. 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. Podman is a Docker replacement that doesn't require root and doesn't run a daemon. So then I was maintaining my own helm charts. K8s/K3s provide diminishing returns for the complexity they pose in a small scale setup. x (aka K8S). We have over 1200 containers running per node in Docker with no problems. Personally- I would recommend starting with Ubuntu, and microk8s. That way Docker services got HA without too much fuss. 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 Docker is also using containerd in the background. k3s and rke in tons of production clusters, each has its place. 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. Swarm is good for pure stateless, replicated nodes. would allow me to ALSO deploy to the cloud easier. 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. Nomad is to me, what Docker Swarm should have been, a simple orchestration solution, just a little more elaborate than Docker Compose. From there, really depends on what services you'll be running. The kernel comes from ubuntu 18. To run the stuff or to play with K8S. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. Cross IDE support: VS Code and the full JetBrains suite is supported. jzcym koozpe jvgtpk kbboss zmnk yvidf axvw bgnhbs wqih rciyob rzqfd licnnc rqdcb hzejceh pxfj