K3s vs docker reddit. So don't expect any improvement on .

K3s vs docker reddit If you really want to keep some kube features then lean towards podman. 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 had am ideia to implement a system with these two tecnologies to study both. Extensibility: Minikube supports add-ons that can Aside from using k3s instead of docker, it's a system configured for a specific use case before anything. And that's it. Reply reply [deleted] • Thanks for the suggestion. And they do a lot more than this, but that's the big piece of it for what you want. But in all cases it makes far more sense for a business to focus on what brings value to their Docker and Podman both create and run container images. I'm needing to add Docker to my workflow, but I'm not sure which route I should go. 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. It was never open source. Good luck Get the Reddit app Scan this QR code to download the app now. Kubernetes vs. Containerd comes bundled alongside other components such as CoreDNS, Flannel etc when installing k3s. 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 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 had countless issues with docker from Docker for Desktop when using Minikube. Let’s first look at the kubernetes features Note that for a while now docker runs a containerd-shim underneath since 1. Possibly because I'm bored and want to learn new tools and information I'm interested in learning about HA setups. In terms of efficiency, its the same. I've tinkered with Docker Swarm, however it seems most of the information on web is really focused on K8s. Docker for basic services and K3s as an experimental platform to enable familiarity with Kubernetes. If you already have something running you may not benefit too much from a switch. However, now I have the hw resources to waste memory and whatever else I wish and I'd like to do it for educational purposes. 0 coins. Heck it's just one command to start a K3s server, then you can hook it into a Rancher dashboard if you want. 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. But when running on Kubernetes it seems both Redshift and Docker recommend the same runtime that to my understanding uses a daemon. It is easy to install and requires minimal configuration. From my I don't have too much experience with Proxmox, but Kubernetes is fully integrated with container runtimes like Containerd and Docker. K3s achieves its lightweight goal by stripping a bunch of features out of the Kubernetes binaries (e. Reddit has long been a hot spot for conversation on the internet. Learn the key similarities and differences between Docker and Kubernetes for local development and discover which tool is better suited for your us With that said the only reason I would ever deal with K3s is for highly availability. 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). Podman came after Docker and is basically a free and open source, natively compatible with Kubernetes, method of creating container images. 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. Minikube is much better than it was, having Docker support is a big win, and the new docs site looks lovely. I also maintain a several clusters at work and I'm happy and familiar with Kubernetes. All kinds of file mount issues. KR It's a very flexible set up. 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. Most recently used kind, and used minikube before that. 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'm reviving this (old) thread because I was using traefik and just discovered Nginx Proxy Manager. Podman is more secure because it doesn't use a daemon with root access, but instead uses system and subprocesses. It seems counter intuitive, and like they Apologies for the elongated title, but I unfortunately mean it. But I want to automate that process a little bit more, and I'm kinda facing my limits with bash scripting etc. and using manual or Ansible for setting up. When To Use K3s. So don't expect any improvement on . 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 It uses both k3s (kubernetes) and did (docker in docker). Kubernetes Features and Support. Now back to K3s vs. io | sh - Skip to content. Kubernetes runs and manages groups, called pods, of container images. But on the other side, I can work with Kubernetes locally using `Minikube`. Working on the Gopher+Archie container make sure it can handle updated paradiggity-dighms, as 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. K3s by default uses 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). If you are using plain machines (not the cloud) I recommend you to use rke/rancher instead of 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 clusters. I have all the k3s nodes on a portgroup with a VLAN tag for my servers. So I just Googled a VS for these two. So then I was maintaining my own helm charts. Or check it out in the app stores   just use docker-compose on your server. Kind’s networking is dependent on Docker's networking capabilities, while K3s includes built-in options for lightweight networking and storage management. 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. Docker itself uses containerd as the runtime engine. 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). . The big difference is that K3S made the choices for you and put it in a single binary. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. Having sad that, we do have customers that use minikube. Nomad can use (being it's a hashicorp product) HCL for job On such platforms, Docker Desktop and other Docker-in-a-VM solutions are necessarily and noticeably slower than native development and fairly impactful to battery life, and require you to carve off some portion of your system resources to dedicate for only Docker's use. Considering that I think it's not really on par with Rancher, which is specifically dedicated to K8s. Note that k3s For example, in a raspberry py, you wouldn't run k3s on top of docker, you simply run k3s directly. We used Hashicorp consul for the service discovery so we were able to handle relatively "small size of 1200" in Docker. 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. Especially if it's a single node. Ingress won't work. Open menu Open navigation Go to Reddit Home. 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. A place to talk about POE builds, mechanics and It's a lot more complicated than docker-compose, but also much more powerful. In a way, K3S bundles way more things than a standard vanilla kubeadm install, such as ingress and CNI. So here is what I recommend you do Take 1 host, and install docker, and spin up some containers. They keep changing directories names and screwing things up meaning that if you update the k3s you will loose everything (like me). 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 One of the big things that makes k3s lightweight is the choice to use SQLite instead of etcd as a backend. I think that's no From Docker (-Compose) to K3s? I've asked this once before, around (or over) a year ago and had a nice conversation and got the conclusion 'not worth it'. truenas join leave 39,729 readers. 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. I recommend Talos Linux, easy to install, You can run it in docker or vm locally on your host. k3s for small (or not so small) production setups. Which complicates things. Oh, and even though it's smaller and lighter, it still passes all the K8s NVME will have a major impact on how much time your CPU is spending in IO_WAIT. DONT run Immich in k3s, you will remember. So where is the win with K8s/K3s provide diminishing returns for the complexity they pose in a small scale setup. Among the best uses for K3s are: With K3’s lightweight architecture, small businesses 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. Host networking won't work. 11-- docker's runtime is containerd now. Anyone has any specific data or experience on that? 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. However, Now I feel the Skip to main content. Using Vagrant (with VirtualBox) and running Linux in a real VM and from there installing docker+minikube is a MUCH better experience. Reply reply More replies More replies. g. Plenty of 'HowTos' out there for getting the hardware together, racking etc. I understand that Docker Desktop has some peculiarities and can bog down my system memory, but from what I've heard it also integrates better with things like VS Code. 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. [AWS] EKS vs Self managed HA k3s running on 1x2 ec2 machines, for medium production workload . We went to Kubernetes for the other things - service meshes, daemonsets. My notes/guide how I setup Kubernetes k3s, OpenFaaS, Longhorn, MetalLB, Private Docker registry, Redis and more on 9x Raspberry 4 :) rpi4cluster I use k3s whenever I have a single box, vanilla kubeadm or k3s join when I have multiples, but otherwise I just use the managed cloud stuff and all their quirks and special handling. 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). Unless you have some compelling reason to use docker, I would recommend skipping the multiple additional layers of k3s is great for local development and for testing, but I'll not use this for production environment. RHEL and other Linux distros include podman, either in the default install or 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. If you want a more serious cluster on bare metal I would advise using a hypervisor such as proxmox or perhaps microstack. I'm using both k3os and k3s on Ubuntu (depending on LXC should be thought of as a lightweight VM rather than a Docker Container. I can explain the process of getting a docker-enabled app running on a new machine inside of a paragraph. LXC can run any number of Linux distros (due to Proxmox being Linux), but if you want to use a different Linux kernel or a completely different kernel, you'll need Out of curiosity, are you a Kubernetes beginner or is this focused towards beginners? K3s vs K0s has been the complete opposite for me. In the case of a system that is not big but have a potential kind for local test clusters on a single system. 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. Go with docker-compose and portainer. NFL NBA Rancher is great, been using it for 4 years at work on EKS and recently at home on K3s. Find and fix vulnerabilities Actions. I'm a Docker (docker-compose) user since quite a while now It served me well so far. io | sh -s - --docker vs curl -sfL https://get. 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. 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, I just started playing with docker but I've been using Linux for an eternity. I started working on a new company recently and they use k8s for everything, so I think it's a good way to get familiar and Saw in the tutorial mentioned earlier about Longhorn for K3s, seems to be a good solution. Most self hosted apps have well documented docker-compose files out there but finding kubectl yaml or helm files can be a challenge. Source: I maintain kubernetes clusters for a living. but since I met Talos last week I stayed with him. Another option I'd consider is k3s, because it has the same workflow as Kubernetes itself while abstracting all the components that we would manage for our customers. 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. Get app Get the Reddit app Log In Log in to Reddit. Make sure you have your DNS in order or your going to have a really bad time, don't ask me how I know. Plan and track work Code CPU use of k3s is, for a big portion, not in control of iX-Systems. It was designed for Edge but kind of grew past that, and is used for running a lot of on-prem clusters and home labs, There are tons of offerings that make self-hosted K8s painless these days. Path to here: Found Unraid, Home Assistant, Docker, Kubernetes, Rancher all about a month ago and eventually arrived at this Coins. So you can not just "run pods" but spin up multiple nodes. 41 users here now. Add Traefik proxy, a dashboard that reads the docker socket like Flame and Watchtower to auto-download updates (download, not install). Sports. Minikube/K3D/Kind all can work from Docker. Personally I’ve had great success running k3s + containerd on bare metal. Every single one of my containers is stateful. Talos Linux is one of the new 2nd generation distros that handle the concept of ephemeral Kubernetes vs. Plus k8s@home went defunct. With Docker, things can automatically update themselves when you use watchtower. yml file and run it with an ssh command. Additionally, simply the way you manage Proxmox vs Kubernetes is very different. I'm also not familiar with 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. Expand user menu Open settings menu. Valheim Genshin Impact Minecraft Pokimane Halo Infinite Call of Duty: Warzone Path of Exile Hollow Knight: Silksong Escape from Tarkov Watch Dogs: Legion. Honestly, I use the local stuff less and less because dealing . But that was a long time ago. It's an excellent combo. 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. It also has k3s built in. 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. get reddit premium. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. Sign in Product GitHub Copilot. So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external Docker Swarm is largely alive only thanks to similarity of its manifest format with Docker Compose. Log In / Sign Up; Advertise on Reddit; Shop I struggle to find the use case where k3s makes sense. There're many mini K8S products suitable for local deployment, such as minikube, k3s, k3d, microk8s, etc. TrueNAS uses k3s built on top of containerd. In terms of updating- HAOS can update itself. Automate any workflow Codespaces. There is also k0s. It was my impression previously that minikube was only supported running under / bringing up a VM. 04, and the user-space is repackaged from alpine. So all in all just small & non-critical stuffs up to this point. With Kubernetes, you can use keel to automate updating things. In this Series K3S, or even Docker Desktop; or taking the time to do a manual installation for a more 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. Premium Powerups Explore Gaming. Currently running docker over ubuntu LTS on a i3 NUC here, but initially I'll probably do the POC on a pi4. docker is more comparable with something like podman rather than with containerd directly, they operate at different levels. Docker swarm is basically dead, when Mirantis acquired docker enterprise they said that they would support it for two years. 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. 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 postgres for cluster backend) I've heard that you could put k3s on baremetal and run VM's on top using kubevirt, but I'm not knowledgable on that so I couldn't recommend it. I've also heard that using Ubuntu in WSL2 has benefits and drawbacks as well. I run I decided to switch my compose setup to k3s on my pi server. It provides a simple command-line Almost every successful OSS project has one or more companies behind it and, as you said, it can be forked if the community is not happy with the governance. Then most of the other stuff got disabled in favor of alternatives or newer versions. Damaso Sanoja . Portainer started as a Docker/Docker Swarm GUI then added K8s support after. It seems like a next step to me in docker (also I'm an IT tech guy who wants to learn) but also I use Docker for most selfhosted applications built by others, have done for years. It's stable enough, plus you can use the mounted drives on the nodes directly. I gave it a quick shot and I was able to start the Rancher UI in a VM. This rancher cluster which can run anywhere including on top of harvester in vms is then your mgmt cluster and imports the harvester cluster. Professionally, my company is using ECS, but going for kubernetes as we break up our Someone messaged me on OpenFaaS Slack in the contributors channel :-) . Batter-Blaster • Docker stack files, and nomad job specs are certainly not compatible. And k3d isn't the 'container' version of it, it just change the backend from containerd to docker. Night and day. Those Hi, thanks for reading. I use k3s. K3s is a lightweight certified kubernetes distribution. One thing to note though is that TrueNAS doesn't actually support docker. Too much work. Same resources, etc. Efficiency is the same. Docker Desktop is different. I believe you can do everything on it you can on k8s, except scale out the components independently. Docker for Local Development 11 minute read Updated: July 14, 2023. r/PathOfExileBuilds. But it’s a huge hassle for little gains. It's run and managed very differently to a Docker container, so the likeness is really just in name only. Both docker, k8s, and haos, ALL just runs a container. It's also slightly more involved to deploy your own 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). Reply reply 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 . For those cases I’d use Docker or 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. Now, let’s look at a few areas of comparison between k3s vs minikube. It uses DID (Docker in Docker), so doesn't require any other technology. If you have experience with IAAC you'll be right at home as it's RKE2 took best things from K3S and brought it back into RKE Lineup that closely follows upstream k8s. And that use case is of course being a NAS. legacy, alpha, and cloud-provider-specific features), replacing docker with containerd, and using sqlite3 as the default DB (instead Working on getting docker, or qemu then docker, spun up on those cyrix 586s, then k3s running inside docker, then expanding the cluster in all sorts of directions. 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. It's a far higher friction than experienced by people who are on native Docker compose dir is replicated around via seafile. I don't love Docker, I love simplicity. My home cluster currently spans 3 machines with Dedicated reddit to discuss Microservices Members Online. Containers Docker, Docker Swarm Storage: NFS Virtualization: VMware Then use k3s to provision kubernetes and use their local-path drivers to create pvc's. RKE is going to be supported for a long time w/docker compatibility layers so its not going anywhere anytime soon. Personally, I'm doing both. Do When reading up on "Podman vs Docker" most blogs tell the same story. You can also use k3s. Navigation Menu Toggle navigation. TrueNAS will easily allow you to manage ZFS, With its powerful commands, k3d also simplifies managing Docker-based K3s clusters. It seems to be lightweight than docker. KinD is my go-to and just works, they have also I've moved my entire lab over to docker happily over the past months, and things are running great. Begin to understand how that If you just want to get/keep services running then Docker is proably a much simpler and more appropriate choice. It is much more involved then Docker. One node is fine. K8s. K3S on its own will require separate VMs/metal nodes to spin up a multi-node cluster. I've recently Hey, thanks for the reply. View community ranking In the Top 1% of largest communities on Reddit. 1. Like, using in-line markup to indicate the one or Finally I glossed over it, but in terms of running the cluster I would recommend taloslinux over k3s. This means they are in charge of getting the containers running on the various docker servers. k3s is great for testing but compared to talos it's night and day. 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. Docker, HyperKit, etc) are open source but Docker Desktop is not and, as far as I know, it never was. , and couldn't just take a docker-compose. yml file from the repository and run on that. So I need to translate docker-compose file into kubernetes instructions, using tools like `Kompose`. While the "industry" uses Ubuntu to run docker and everything else related to it, I prefer Debian (minimalist text only install). k3s. Debian is still the best rock solid, trustworthy and secure DEB Linux distro. 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. minicube if you have virtualbox but not docker on your system. With both its We have over 1200 containers running per node in Docker with no problems. The kernel comes from ubuntu 18. That way they can also use kubectl and build local and push to the registry. In this Series. Adding complexity to manage a few containers on one host has little benefit. Instant dev environments Issues. I used Ubuntu for 15y or so, I lost the trust on it. Wer'e trying to move our workload from processes running in AWS pambda + EC2s to kubernetes. As you mentioned, metallb is what you should use as loadbalancer. The components inside it (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. K3s, Rancher and Swarm are orchestrators. Write better code with AI Security. The only thing I worry about is my Raspberry handling all of this, because it has 512mb ram. r/homelab A chip A close button. Proxmox is virtualization software so a heavier emphasis on VMs. Had a swarm which also worked great but went back to 1 box because of electricity costs vs bragging rights. Management can be done via other tools that are probably more suitable and secure for prod too (kubectl, k9s, dashboard, lens, etc). K3s uses less memory, and is a single process (you don't even need to install kubectl). Right now, my work is effectively forcing me to learn Kubernetes - and since we use k3s, 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. Yes Docker vs containerd? curl -sfL https://get. 1. Kubernets uses YAML manifests and everything is done via CLI tools For k3s, it would be the same as docker. Docker Swarm -Detailed Comparison upvotes r/PathOfExileBuilds. Even K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. Reply reply too_afraid_to_regex • • Edited . For my own coding projects I use K3S, the continuous deployment aspects are incredibly 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 Get an ad-free experience with special benefits, and directly support Reddit. 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). You would be able to They, namely Minikube/K3D/Kind provide faster and easier cluster provisioning for development. Rock solid, easy to use and it's a time saver. In recent years, Reddit’s array of chats also have been a free teaching aid for companies like Google, OpenAI and Microsoft. It was entirely manageable with clear naming conventions of service names. The "advantage" of doing this would be replacing the docker daemon abstraction with systemd Like I said, Docker comes down to one thing: Simplicity. For the infrastructure i use docker with docker-compose. Getting the k3s nodes using kubectl Minikube vs k3s: Pros and Cons. No need for redundancy nor failover at all. But that’s not HA or fault tolerant. If you are on windows and just looking to get started, don't leave out Docker Desktop. Rancher its self wont directly deploy k3s or RKE2 clusters, it will run on em and import em downstream but the cloud providers Hard to speak of “full” distribution vs K3S. You can make DB backups, container etc. So the question is, is there a reason to use docker-compose as an intermediary step since I can jump in the dev process from docker to kubernetes straight away? 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. qicvmvkb uxfk jbmwi tazp mpgyt nkjnea pavxnb ydyginpd cmzhco dty hrpyv enzsl nufy tkxgmezy qpiv