K3s vs docker reddit. In docker-compose you can just share a local directory.

K3s vs docker reddit. In docker-compose you can just share a local directory.

K3s vs docker reddit . We've discussed the docker-compose vs kubernetes with iX quite a lot and the general consensus (which also spawned our Docker-Compose App project), was that we both agreed that docker-compose users should have a place on SCALE. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e. Distributions like k3s make getting up and running comparatively easy, so I think there’s not too They, namely Minikube/K3D/Kind provide faster and easier cluster provisioning for development. practicalzfs. Presently k3s kicks the docker compose off port 443; or at the least the two fight over it rendering no access to Jenkins or Wekan. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. K3S on its own will require separate VMs/metal nodes to spin up a multi-node cluster. Docker is containerization software, it lets you define a container, define a container image, run a container. legacy, alpha, and cloud-provider-specific features), replacing docker with containerd, and using sqlite3 as the default DB (instead For k3s, it would be the same as docker. Im also having trouble getting Rancher or Kubernetes Dashboard working for my external host. It might je be something kubernetes is doing dynamically in the background, specific to using the docker engine. This means they are in charge of getting the containers running on the various docker servers. Selling points of podman (AFAIK) security and having each container (pod) not relying on a system deamon to be up (opposite of containerd). Any information found by docker inspect is not correct,(or only usable by the k3s team) the correct information should be aquired by using kubectl instead. It's an excellent combo. 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. 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 For containerised environments, I’ve dealt mainly with local compose, writing different docker images for different types of backends (python, node, php, maven build), some experience with docker service but all standalone services that run a 2 or 3 replicas, and containerised automated tests/deployments on gitlab CI. TrueNAS uses k3s built on top of containerd. But I want to automate that process a little bit more, and I'm kinda facing my limits with bash scripting etc. If you want to compare docker to something strictly containerd related it'd be crictl or ctr, but obviously docker is a lot more familiar and has Get the Reddit app Scan this QR code to download the app now. If you are on windows and just looking to get started, don't leave out Docker Desktop. The same I've done with docker-swarm. Get the Reddit app Scan this QR code to download the app now. Podman is a Docker replacement that doesn't require root and doesn't run a daemon. Night and day. but now there's some company sitting between you and them. Have had a look at Immich recently, and it seems to be quite amazing. 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. I agree. It's a very flexible set up. docker is more comparable with something like podman rather than with containerd directly, they operate at different levels. 3 honestly any tips at all because I went into this assuming it’d be as simple as setting up a docker container CPU use of k3s is, for a big portion, not in control of iX-Systems. 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 . K3d works pretty well too and Note that for a while now docker runs a containerd-shim underneath since 1. 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. From testing out the major 3, I ended up going with Traefik. This command does the environment setup for you, after which docker commands should just work. I had to use a fork to get k3s v1. Had a swarm which also worked great but went back to 1 box because of electricity costs vs bragging rights. I used Ubuntu for 15y or so, I lost the trust on it. and also I think a lot of us use Kubernetes at work so we’re familiar with it. , and couldn't just take a docker-compose. I never created a mixed architecture cluster, be sure to taint your nodes and use the good node selectors in your apps to not endup with x86 apps trying to use the arm nodes and vis versa Rancher is awesome - its shipped as a docker container, so install docker, do a docker run command, and you can do the rest (setup cluster etc) in the web UI that the initial docker container provides. Plenty of 'HowTos' out there for getting the hardware together, racking etc. 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). this is primarily used for quick debugging and not stable enough for purpose built applications. Docker and Podman are OCI compliant so they are using more or less the same APIs (meaning can be used with other projects that uses this type of APIs eg kubernetes and sons k3s, openshift etc etc). x (aka Cattle)) and I'm currently toying with Rancher v2. Which complicates things. 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 have 2 clusters in my homelab, and its been rock solid for me. About 57 million people visit the site every day to chat about topics as varied as makeup, video games and pointers for power washing driveways. This (somewhat) differs from docker in that docker is an imperative (things are usually done via command line commands like docker run) stateful (workloads are intended to be persisted) container and configuration manager. Ive got an unmanaged docker running on alpine installed on a qemu+kvm instance. Im just wondering why would I chose the Docker option over the "normal" installation? My environment is a home env. 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. The big difference is that K3S made the choices for you and put it in a single binary. TLDR: in production use RKE2, in Homeland or development use whatever suits you,for example minikube. Ingress won't work. 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. with about 20 agents. If you are going with Docker swarm or k3s, there is no reason to use Proxmox HA. So here is what I recommend you do Take 1 host, and install docker, and spin up some containers. Docker is (IMO) a bare engine, a foundation for more complex tools/platforms that can coincidentally run by itself. x (aka K8S). However for local use, I think microk8s is not really an option, and then k3s dockerized kind beats minikube in overhead and resources, and I think a little better than kind. I agree with the spirit of your comment though, Kubernetes is great, but it's Reddit has long been a hot spot for conversation on the internet. 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. In recent years, Reddit’s array of chats also have been a free teaching aid for companies like Google, OpenAI and Microsoft. Reddit's original DIY Audio subreddit to discuss speaker and amplifier projects of all types, share plans and schematics, and link to interesting projects. You can also use k3s. It also has k3s built in. You usually use dockers for a single program, that you want to 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). I figured I might as well clean up my 30+ Docker Compose deployments and use every bit of spare compute I have at my home and remotely and build myself a mighty k3s cluster as well. 2/ Local vs cloud. (Please note that K8s can be used statefully, but that's against the initial use case. If you have use of k8s knowledge in work or want to start using AWS etc, you should learn it. Same resources, etc. K3s is a lightweight certified kubernetes distribution. Or check it out in the app stores &nbsp; &nbsp; TOPICS Thoughts on Docker vs Podman? Share Add a Comment. Another option I'd consider is k3s, because it has the same workflow as Kubernetes itself while abstracting all Also if you are just wanting experence but for what they would consider edge computing you could looking into k3s as well. All managed from Portainer with an agent. Most recently used kind, and used minikube before that. Or check it out in the app stores &nbsp; containerd is backed by docker (and used by docker) and cri-o is backed by RedHat. There is also k0s. While the "industry" uses Ubuntu to run docker and everything else related to it, I prefer Debian (minimalist text only install). For example look at vm database vs docker database speeds. Stuff I was hoping just learning to use K3s in place of Docker compose. Open comment sort options k3s might be appropriate once it matures. RKE, Rancher and k3s either work brilliantly or they crash and burn with you in it, only works for happy path EDIT: RKE now works beautifully again, I just had to pin a specific docker-version, which was perfectly documented, I was just too thick-headed to read it and follow it. Stumped on a tech problem? Ask the community and try to help others with their problems as well. It's just very painful to use and the inconsistency between use of verbs, lack of obvious filters, inconsistency in output formats (only some objects are `-json`) `nomad job status -short` vs. Note: Reddit is dying due to terrible leadership from CEO /u/spez. k3s is great for testing but compared to talos it's night and day. This rancher cluster which can run anywhere including on top of harvester in vms is then your mgmt cluster and imports the Kubernetes is the "de-facto" standard for container orchestation, it wins over Docker Swarm, Mesosphere, CoreOS Fleet but not over Hashicorp tools. Everything has to be LAN-only. but since I met Talos last week I stayed with him. 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 ? Finally I glossed over it, but in terms of running the cluster I would recommend taloslinux over k3s. So, looking solely at local use, especially for devs working Get the Reddit app Scan this QR code to download the app now. You can use both. I do a lot with containers build create run kill compose and so on. Management can be done via other tools that are probably more suitable and secure for prod too (kubectl, k9s, dashboard, lens, etc). Internet Culture (Viral) Amazing; Animals & Pets; Cringe & Facepalm Don't forget k3d -- dead simple and lightning fast k3s in docker, for development. as I understand it the flow goes like this - I'm working with docker to create an image, and I'm using docker-compose to work with multiple images. Didn't really like Nginx too much but honestly you can't go wrong with either of them. 11-- docker's runtime is containerd now. 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. I've tinkered with Docker Swarm, however it seems most of the information on web is really focused on K8s. Host networking won't 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) K3s, Rancher and Swarm are orchestrators. I like k3s since it's a single binary and it had k3os if you get serious. Reply reply Docker does not run exactly as it should and those that claim otherwise lack experience to run large codebases and systems, a lot of 3rd party code fails and guess what they don't have to answer because they don't officially support docker, good luck asking for help when the failure of a package is only inside docker; kubernetes moved away from Hard to speak of “full” distribution vs K3S. A reddit dedicated to the 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. To help make your choice a little easier, let's briefly explore some of comparison between Docker Swarm and Kubernetes so that you can better decide which one will fit Get the Reddit app Scan this QR code to download the app now. For any customer allowing us to run on the cloud we are defaulting to manage k8s like GKE. You can use a tool like kompose to convert docker compose files to kubernetes resources. Talos Linux is one of the new 2nd generation distros that handle the concept of ephemeral RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. From time to time I set up a kubernetes-cluster on my four RP4's but only for learning the commands again, as well as the 'container-setting-files'. E. I'm pretty sure this is an amateur question, but a lot of searching has not provided me with any clear insights on this. This hardly matters for deciding which tool to create/develop containers with. I am running ym first installation and came across two methods. Anyone with more knowledge want to chime in? I’ll love to put microk8s or even k3s in LXC for an ultra-lightweight Kube cluster but everything I’ve seen around this makes Docker Swarm is largely alive only thanks to similarity of its manifest format with Docker Compose. We have plans to provide better Docker support in the near future. K3s has the same easy cluster building as Docker Swarm ("join"), but so far I have not found a single tutorial of how to simply use bundled Traefik and just start a service with sub-domain as label and have automatic routing to it. Now I got my third, 'home-server' and I can finally move After quite a bit of experimentation, I personally went with 3 proxmox hypervisors and k3s on virtual machines. Please use our Discord server instead of supporting a company that You are mixing up docker compose with docker. Plus k8s@home went defunct. Each host has it's own role : Docker is a lot easier and quicker to understand if you don't really know the concepts. Then on the ashes of old-timers, RKE2 rancher standalone Kubernetes distribution was born. For immediate help and problem solving, please join us at https://discourse. Second Docker does not necessarily give you a performance boost, quite the contrary. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. If you already have something running you may not benefit too much from a switch. https just watched the demo for k0s. 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. Amassador. I've had countless issues with docker from Docker for Desktop when using Minikube. When reading up on "Podman vs Docker" most blogs tell the same story. 04, and the user-space is repackaged from alpine. One each proxmox you can put 2 VM's for k3s 1 master node vm 1 work node vm other vm's ( like rancher manager or K8s/K3s provide diminishing returns for the complexity they pose in a small scale setup. 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. theres no groundbrealing differences but overall it hides less from you while maintaining similar ease of Get the Reddit app Scan this QR code to download the app now. Docker for basic services and K3s as an experimental platform to enable familiarity with Kubernetes. The kernel comes from ubuntu 18. 1. It's a lot more complicated than docker-compose, but also much more powerful. 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. In docker-compose you can just share a local directory. My notes/guide how I setup Kubernetes k3s, OpenFaaS, Longhorn, MetalLB, Private Docker registry, Redis and more on 9x Raspberry 4 :) rpi4cluster I have a few questions! (Docker, SWAG vs. I just started playing with docker but I've been using Linux for an eternity. Podman is more secure because it doesn't use a daemon with root access, but instead uses system and subprocesses. install pihole natively vs docker 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. Every single one of my containers is stateful. github has its own buildx cache type that (I think) uses the CI registry for its work) It does impact The 'Rancher in Docker' method is a single container running k3s and the Rancher helm chart installed inside so you get rancher on k3s all in one box. Add Traefik proxy, a dashboard that reads the docker socket like Flame and Watchtower to auto-download updates (download, not install). They are separate technologies. The main things are that I want a k3s cluster, I want lightweight to run in a VM in ProxMox, I'd like the OS to handle updates/security for me as a whole package (I think all 3 of the choices do this), and I'd like Rancher to be able to be installed on it. So where is the win with Podman? 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. So then I was maintaining my own helm charts. Any advice on deployment for k3s? Hello, I currently have a few (9) docker hosts (vm's (2 physical hosts) and one Pi). It worked well enough. Please read the rules prior to posting! For example, in a raspberry py, you wouldn't run k3s on top of docker, you simply run k3s directly. Also, Docker compose dir is replicated around via seafile. Docker also uses a socket though!? It's how you communicate with it. In a way, K3S bundles way more things than a standard vanilla kubeadm install, such as ingress and CNI. Or check it out in the app stores &nbsp; Aside from using k3s instead of docker, it's a system configured for a specific use case before anything. com with Hi. It is easy to install and requires minimal configuration. yml file from the repository and But if you have little resources and don't need all the fancy stuff, I would just go with Docker Swarm. separated from 'save files'. So don't expect any improvement on . It uses DID (Docker in Docker), so doesn't require any other technology. It was my impression previously that minikube was only supported running under / bringing up a VM. I've tried to adjust the service manually, but kubectl says that it a) doesn't like my port changes, and b) I shouldn't be updating the system manually. 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). Nope can't do that, gotta go back around and dig the docs. With Kubernetes, you can use keel to automate updating things. , Docker, Hyper-V, VirtualBox) for running a Kubernetes node. so what is the difference between MicroK8s v K3s v K0s ? is it just different vendors packaging the requirements together? the one benifit I noticed with K3s is it seems to be geared towards ARM. But you're running into conclusions on a level you shouldn't. 27. I'm a Docker (docker-compose) user since quite a while now It served me well so far. Go with docker-compose and portainer. docker run --privileged --rm tonistiigi/binfmt --install amd64. Caddy was also very good, but ultimately I liked traefik a bit more. Or check it out in the app stores Now i’m wondering if i should install Kubernetes or Docker for running containers where i’m going to migrate my current services to. Possibly because I'm bored and want to learn new tools and information I'm interested in learning about HA setups. KR View community ranking In the Top 1% of largest communities on Reddit. k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. Minikube needs to be running and you need to use envirnment variables so that the docker cli tool can contact minikube. But that was a long time ago. I use Portainer mainly to check logs and to use the terminal within specific containers, it's great for that. and god bless k3d) is orchestrating a few different pods, including nginx, my gf’s telnet K3s uses less memory, and is a single process (you don't even need to install kubectl). Oh, and even though it's smaller and lighter, it still passes all the K8s I recommend Talos Linux, easy to install, You can run it in docker or vm locally on your host. 3+k3s-9d376dfb-dirty (9d376dfb). Or check it out in the app stores &nbsp; &nbsp; TOPICS just use docker-compose on your server. yml file and run it with an ssh command. If you want Docker, K3s achieves its lightweight goal by stripping a bunch of features out of the Kubernetes binaries (e. For immediate Requires virtualization (e. View community ranking In the Top 1% of largest communities on Reddit [AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload 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 like overkill, cost Windows 11 pc on nvme Unraid setup with array/cache drives (gpu, nvme, usb pass through for gaming pc or windows in vm same drive/os) Moved home assistant to docker for now. Efficiency is the same. This post was just to illustrate how lighweight K3s is vs something like Proxmox with VMs. The officially unofficial VMware community on Reddit. I run multiple nodes, some cloud, two on-site with Ryzen 7 and Ryzen 9 CPUs respectively. 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. All my services are dockerized, so 3-5 lines is all I need in each docker-compose file to get any service through traefik. One thing to note though is that TrueNAS doesn't actually support docker. When most people think of Kubernetes, they think of containers automatically being brought up on other nodes (if the node dies), of load balancing between containers, of isolation and rolling Get the Reddit app Scan this QR code to download the app now. But it's not 100% compatible and there are things done differently. I'd say it's better to first learn it before moving to k8s. A port-mapping will be some kind of Service, and a volume is a PersistentVolumeClaim. The difference you'll probably run into is PVCs and PVs for container storage. for local development on Kubernetes. But I'm torn between hosting it directly as a TrueNAS App (using the built-in k3s stack) and using docker-compose, as is recommended by the Immich devs. etc. A tier 1 hypervised vm has 10X faster and more consistent responses on mongodb. No need for redundancy nor failover at all. `nomad deployment list -json`. Other Minikube is much better than it was, having Docker support is a big win, and the new docs site looks lovely. The Ryzen 7 node was the first one so it's the master Ceph takes care of this problem but you are going to need >1Gbe between nodes and somewhat faster drives like old enterprise SSDs with PLP. I'm also running a bunch of services (VPN, Reverse Proxy, Home Automation, ) on a single-board ARM computer with Portainer. Most self hosted apps have well documented docker-compose files out there but finding What's the problem you're trying to solve? K3s/K8s is built for scale, but in your case each host I found k0s' architectural decisions slightly better than k3s', Mirantis bought Docker's enterprise business, so they need to present asap a viable upgrade path for Docker Swarm which means this thing must be easy and straight-forward, It took me some time to learn Docker, but it's so elegant that as soon as You Moved my stack to Kubernetes (running on K3S) about 8 months ago, mostly as 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. But when running on Kubernetes it seems both Redshift and Docker recommend the same runtime that to my understanding uses a daemon. g. Too much work. a Docker Compose container translates to a Kubernetes Deployment, usually. All kinds of file mount issues. would allow me to ALSO deploy to the Too big to effectively run stanalone docker daemons, too small to justify dedicated management plane nodes. podman is essentially docker with the benefit of hindsight (and without the push to upsell which sometimes hinders interoperability). Till now I've managed everything with docker-compose and traefik. One node is fine. RKE and docker swarm lost, Kubernetes won. eval $(minikube docker-env) Maybe I've misunderstood, but you don't have to pick one between Portainer and docker-compose. There're many mini K8S products suitable for local deployment, such as minikube, k3s, k3d, microk8s, etc. Both docker, k8s, and haos, ALL just runs a container. If you run commands like `docker run`, `docker build`, etc you can use `nerdctl run`, `nerdctl build`, etc. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. So I need to translate docker-compose file into kubernetes instructions, using tools like `Kompose`. PC 2: Windows 11 - desk pc. buildx supports a kubernetes builder that I played with a little bit last year. There are many different pros and cons when I understand the basic idea behind Kubernetes I just don't know if it would even work out for my use-case. I tried asking in r/k3s but the sub doesn't seem to active, thought I'd try my luck here. 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). I have all the k3s nodes on a portgroup with a VLAN tag for my servers. In terms of updating- HAOS can update itself. To make all the stuff work in the cloud I would need kubernetes. Heck it's just one command to start a K3s server, then you can hook it into a Rancher dashboard if you want. Or check it out in the app stores &nbsp; &nbsp; TOPICS. Not that it won't work on weaker hardware but you might experience intermittent issues when the r/w to the storage is high. It seems to be lightweight than docker. It supports a superset of docker build and can use builders defined on remote hosts as well as w/in a kube cluster. Most things will basically migrate "as is". Minikube/K3D/Kind all can work from Docker. Well, pretty much. Debian is still the best rock solid, trustworthy and secure DEB Linux distro. NPM, blueiris, Home Assistant, VPNs) Note - I am 'not' going to push any images to docker-hub or the like. It also handles multimaster without an external database. Next time around I'll probably start with debian and put docker and proxmox on top, the one VM is all I need usually, but it would be nice to have proxmox to handle other one-offs as Get the Reddit app Scan this QR code to download the app now. Using Vagrant (with VirtualBox) and running Linux in a real VM and from there installing docker+minikube is a MUCH better experience. 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. One place this differs for you is, if you ssh into the node, whether you type "crictl images" or "docker images" to see what was downloaded. Especially if it's a single node. It's RISC-V. It can also be deployed inside docker with k3d. I say "ish" because there are some features and flags that are not yet implemented. Wazuh in Docker VS on the Host . And they do a lot more than this, but that's the big piece of it for what you want. All my devs are still using docker but clusters have been containerd for years. I start all of my docker containers using docker-compose and they all show up in Portainer. Or check it out in the app stores which isn't possible in Docker Desktop, although docker desktop is getting some nice upgrades with extensions from e. Docker still produces OCI-compliant containers that work just fine in K8s. NVME will have a major impact on how much time your CPU is spending in IO_WAIT. With Docker, things can automatically update themselves when you use watchtower. Cluster: Rpi4a -(kube master) just installed rpios 64 bit and k3s Rpi4b - ? Incoming: odroid n2+ (my though was to move home assistant here) K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. This is a sub-project of containerd and provides a Docker compatible-ish CLI. From my Hello! Don't worry about etcd, you'll not manage it, in k3s it's embedded[0], for me, I decided to use an external DB instead, I used postgresql instead, k3s don't support external etcd . and using manual or In terms of efficiency, its the same. Nomad is to me, what Docker Swarm should have been, a simple orchestration solution, just Ok so first always use a tier 1 hyperviser for your vms. At the moment ive only used Portainer, which I loathe. when you run say a dozen Docker containers sharing kernel resources vs a dozen jails but this gets deep into the “VM vs Docker Should I just install my K3S master node on my docker host server. From a practical standpoint this difference doesn't matter for most use cases, but certain things like pterodactyl and certain containers expecting rootful privileges won't work on TrueNAS Scale because of this. If the context of your application can do well without the cluster's dependencies it may be worthwhile trying out these local solutions. 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. Single binary (<100 MB) Supported Platforms: Windows, macOS, and Linux. I'm setting up a home cluster using k3s/k3os on some old but reasonably specced machines: 2 laptops with i7s and 16gb of ram 1 tower with an E3 and 32gb of ram Does it matter for performance (or any other considerations) if I setup a HA cluster by making all of them masters vs having 1 be a master and the other 2 as worker nodes? All that said, I do think k3s (and k3d specifically / kind) can help a lot with testing against a local cluster - *when it makes sense*. It also supports remote build caches (OCI/image registries, filesystem. So my situation is this: I have a publicly exposed vps and a NAT'ed homelab server, they are connected through wireguard running on the vps (the homelab connects to the vps and has a keepalive set). Swarm is Deciding whether to go with Docker Swarm or Kubernetes can be tricky. I've recently View community ranking In the Top 1% of largest communities on Reddit. 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. KinD is my go-to and just works, they have also made it much quicker than the initial few versions. Docker Desktop vs Docker within WSL2 . "Best linux distro for k8s/docker in 2020? dev/prod" -Reddit Share Add a Comment In the last two years most of my lab's loads have undergone multiple migrations: VMs > LXC containers > Docker containers (Docker Swarm > Rancher v1. Is there a recommended method to move from a docker swarm based environment, heavily built around Docker Stacks, to Nomad? There are tons of offerings that make self-hosted K8s painless these days. Sort by: Best. Docker is used in multiple parts of the software lifecycle (local development environments, as part of the CICD pipeline, and as part of a deployed system). K3s is a fully compliant Kubernetes distribution, it just has all the components combined into a single binary, even etcd if you choose that storage backend. 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. Using Docker CLI. Docker is no longer supported as a containerd for K8s. As you mentioned, metallb is what you should use as loadbalancer. For a homelab you can stick to docker swarm. And that's it. tltq lxrh wbx kobzlxx vhojg amtwxltd rwiyc pyl lxrd urdss cvwlfu sfz fme yfwkrjdc vdwsut