K3s vs kind github reddit. it'll also establish a .

K3s vs kind github reddit It's made by Rancher and is very lightweight. clusters should be kept over provisioned just in case of the "scaling speed throttle". -> I'm trying to learn K3s at home and am finally at the point where I need to make a decision about secret management. I dont want to use them, because i like to lern something Translate English docs to Chinese via Google Translate API. Key Features Comparison: Minikube, Kind, and K3s K3s is compliant k8s but trimmed down and made for limited resources. Participate in the k3s community forums and GitHub project. 2. Most recently used kind, and used minikube before that. k3s is a lightweight K8s distribution and k3d is the kind equivalent for it. Many developers and DevOps teams start by setting up a local Kubernetes cluster for development work. My options are: store secrets encrypted in the public git repo (e. minicube if you have virtualbox but not docker on your system. microk8s vs kind for local test clusters on a single system. g. This article highlights the k3s is a lightweight K8s distribution and k3d is the kind equivalent for it. Reply reply K3S, OKD, etc are find with a single node but they will need the proxy once you scale up two three, and in Kubernetes scaling is 1 or 3. Should not be that hard and you'll learn quite a bit. To set up multiple Kubernetes servers, you'll need to manually configure extra Hello. Our k3s are more or less throwaway clusters. microk8s vs minikube Running Kubernetes locally is a great -> Docker resource limits: true, k3d can't do that, as K3s containers have to run in privileged mode. Lightweight Kubernetes. However, I'm trying to practice GitOps, so I'm trying to store everything in Git, and I need to decide if that should include secrets or not. Even the snapshot-controller was recently added to k3s. The state of the cluster is automatically replicated between clustered nodes, no need for external storage like you invalid signature: parent certificate cannot sign this kind of certificate from @Dridge in #8252 (comment) Hi, wonder if you can help, is it expected that this feature would need a k3s restart? I can&#39;t disable the option at the moment, true or false in the k3s server With k3s v1. Because I only have one hypervisor, I'm only running a single-node k3s cluster (it's the control plane, etcd, and the worker): Other options for install:--cluster - start this server in clustering mode using embedded etcd (embedded HA)--skip-install - if you already have k3s installed, you can just run this command to get the kubeconfig--ssh-key - specify a specific path for the SSH key for remote login--local - Perform a local install without using ssh--local-path - default is . So I've ended up reinstalling the whole cluster on my new machine, just to find myself in the same situation 5 days after. K3s offers a better and more practical "first install" method than exists and is the perfect tool to do both small and remote deployments and learning kubernetes from the ground up vs a normal bare metal cluster with eg kubeadm etc. Or check it out in the app stores so I'm trying to set up a single node k3s cluster on Oracle's free arm instance and I'm facing some problems when trying to install MetalLB (trying to set up subdomains on a single host managed by the ingress). The types of instances used on this tutorial are: t3. It’s about a 1 to 9 ratio (k3s services vs docker stuff) Reply reply guilhermerx7 • I use k3s for selfhosting, right now only a single node. I'm new into Kubernetes and just starting out. hopefully getting https://k3s. We should manually edit nodes and virtual machines for multiple I am going to set up a new server that I plan to host a Minecraft server among other things. I guess the benefits over GKE, EKS (as a managed K3s cloud service) is speed and cost, as it's quicker to install and uses less RAM too. I create the vms using terrafrom so I can take up a new cluster easily, deploy k3s with ansible on the new vms. As I remember, official Ingress is implemented on Nginx, isn't it? Stick on official realizations as much as you can. Contribute to k3s-io/cluster-api-k3s development by creating an account on GitHub. I like to implement some sort of monitoring. It is packaged as a single binary. io/ k3s is a "batteries included" distribution that grows with you. Maybe that's what some people like: it lets them think that they're doing modern gitops when they go into a gui and add something from a public git repo or something like that. I agree though, Kind is good - helped me alot writing MOK. i. should cluster-api-k3s autodiscover the latest k3s revision (and offer the possibility to pin one if the user wants?) I think the problem with this is mainly that there is no guarantee that cluster-api-k3s supports the latest k3s version. I started with minikube then discovered kind and finally landed on microk8s, really like the set of features they support I can’t imagine using Git from an IDE to be productive for example, and they can’t imagine living without their 10+ click process in the UI. This article dives into the specifics of each tool, comparing their K3d, K3s, Kind, MicroK8s, and MiniKube: What sets them apart? Each of these tools provides an easy to use and lightweight local Kubernetes environment for multiple platforms, but a few things set them apart. it'll also establish a Well, kind can't see or use docker images you've built or pulled in Docker For Desktop. 25. Archived post. Let me know about your experiences or other tools that you use to setup a local Kubernetes cluster. PS. Actual behavior: This machine is not listed when I run sudo k3s kubectl get node on master. Mirantis will probably continue to maintain it and offer it to their customers even beyond its removal from upstream, but unless your business model depends on convincing people that the Docker runtime itself has specific value as Kubernetes backend I Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. We're actually about to release a native K8s authentication method sometime this week — this would solve the chicken and egg ("secret zero") problem that you've mentioned here using K8s service account tokens. E. It was called dockershim. - kurokobo/awx-on-k3s I have migrated from dockerswarm to k3s. Github (and the other hosters) allows that several developers spread across different locations work together on the code. /kubeconfig - set the file where K3d is literally K3s in KIND, so it has all the same advantages. An example implementation of AWX on single node K3s using AWX Operator, with easy-to-use simplified configuration with ownership of data and passwords. For me its just fine to have some metrics, i dont really need some kind of alerting. This is advanced stuff but demonstrates that k3s is not a toy. The embedded sqlite doesn't replicate between master nodes. I know could spend time learning manifests better, but id like to just have services up and running on the k3s. Evaluate k3s as a Kubernetes distribution for your production environment. I am actually using secrets for things like URL and API keys. Both seem suitable for edge computing, KubeEdge has slightly more features but the documentation is not straightforward and it doesn't have as many resources as K3S. 21. I started with k8s and was trying to piece it together, then I was trying to use k3s without any of the default options by following various online tutorials that are all in varying stages of out-of-date. But some days ago I was speaking of running HA on Kubernetes with a friend of mine that is actively using it and he told me that most of the devices he uses use MQTT, instead of direct connection (and it makes a lot of sense), so there is not much need for autodiscovery. x, with seemingly no eta on when support is to be expected, or should I just reinstall with 1. If you want a bit more control, you can disable some k3s components and bring your own. large (default), defined in launchtemplate. I find the advantage to Nomad, especially if you’re using the integrated storage, is much easier to setup and manage than K8S. 21; Minikube vs. I give you my opinion on the pros and cons of MiniKube, Kubeadm, Kind and K3S. Step 2: Discover the k3s Automated Update Controller. Also, by looking at k3s, I peak at the docs for Rancher 2. Why is a static IP address needed to connect to k3s? Should not the server cert be sufficient to prove identity? In order to automate provisioning nodes with the k3s agent installed, it seems that I need to edit the k3s systemd file to fetch the EC2 public IP address from Instance Metadata and provide it to k3s on the command line. Kind (Kubernetes in Docker) is a CNCF certified project that installs highly available Kubernetes clusters. The following environment variables are supported on the fleet/device: (server) K3S_TOKEN: Used to authenticate nodes and ensure secure communication between them (server) K3S_URL: HTTPS host and port of the first node(s) that initialized the cluster, e. Correct, the component that allowed Docker to be used as a container runtime was removed from 1. Minikube vs. Some co-workers recommended colima --kubernetes, which I think uses k3s internally; but it seems incompatible with the Apache Solr Operator (the failure mode is that the zookeeper nodes never reach a quorum). There's also a political aspect to it - you need some kind of decent prediction model, like Arima based ones, to get some relevant over provisioning predictions out of scaling metrics. Then restart k3s without that option to force it to add it back (redeploy). I already setup cluster for work and study with k3s, kind, eks, minikube, colima, gke, doks, k3ssup, k3d, k0s, k0sctl and lot of terraform and some ansible variations of it. That Solr Operator works fine on Azure AKS, Amazon EKS, podman-with-kind on this mac, podman-with-minikube on this mac. 4-k3s1r0 ( Alpine ベース) k0s ： WSL 2 上の Alpine 3. Its more like comparing a Toyota Yaris with a Hummer, where the Hummer is equipped with all the equipment you can think of. I've never used secrets with docker itself, but with Kubernetes you can create secrets like {{HOMEPAGE_VAR_JELLYFIN_API_TOKEN}} that will then point to 4832903402 (random string of numbers)! Install K3d/K3s and start a local Kubernetes cluster of a specific version. But I cannot decide which distribution to use for this case: K3S and KubeEdge. Come and join us today! The advantage of HeadLamp is that it can be run either as a desktop app, or installed in a cluster. Now at home I have a single node server for a blog and backup so I was researching best practices for a non-pro system like this and your answer reminded me why compose is so much simpler for the needs. K3d is a wrapper to run K3s in Docker. A question I am often asked is how do I get started with Kubernetes and how can I do my first tests? So I compared four different technologies that you can use to get started with Among these tools, Minikube, Kind, and K3s stand out as popular choices for developers looking to test, develop, and run Kubernetes applications locally. Primarily for the learning aspect and wanting to eventually go on to k8s. I have a couple of dev clusters running this by-product of rancher/rke. So, if you want a fault tolerant HA control plane, you want to configure k3s to use an external I'm trying to create a scenery validation on GitHub action using kind and Kafka, so I need to run a producer pod in a kind instance and a consumer pod in another kind, but each pod need to access the same Kafka. maintain and role new versions, also helm and k8s Nginx for today is kind of standard. The last btw. Because k3s is optimized for resource constrained environments you may not be able to explore all Kubernetes capabilities but it will be enough to get you keep you busy for a long time. 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. This breaks the automatic AMI image lookup logic and requ I would suspect that there are only a few features missing in k3d, as they are not supported in k3s, but for 95% of the development work, it should be totally sufficient. e. I guess the real question is can minikube or something similar give any meaningful workflow improvements over yes, basically scp'ing the latest container image over What's your reason for using openshift vs k3s/k3sup? I've found that k3sup compresses the deployment process, from wiping the incoming node to scheduling pods onto the node, into 2 steps. Want to update to a newer k3s release? Gitops change. k3s – What should I use? (Summary) Evaluate 3 Hey! Co-founder of Infisical here. I kind of have it under control using ansible-pull, but I have the impression that orchestration tools and maybe shared storage like gluster would be easier to maintain in the long run. And nope, that's my actual configuration. 5, I kind of really like the UI and it helps to discover feature and then you can get back to kubectl to get more comfy. New comments cannot be posted and votes cannot be cast. My personal option for create a cluster in a VPS, the fast way to start (and that allow adding nodes after) is k3sup. The advantage of VS Code's kubernetes extension is that it does basically everything that Lens did, and it works in VS Code, if that's your tool of choice. 24? If you're running it installed by your package manager, you're missing out on a typically simple upgrade process provided by the various k8s distributions themselves, because minikube, k3s, kind, or whatever, all provide commands to quickly and simply upgrade the cluster by pulling new container images for the control plane, rather than doing Client-only: No need to install a server backend. docs comparing k3d and kind [11:50 AM] Enrique Gonzalez k3d vs. It has roof box, trailer, machine guns etc, and you basically just need vehicle. In a test run, I created a 500-node Recently set up my first k8s cluster on multiple nodes, currently running on two, with plans of adding more in the near future. I understand that the systemd service k3s and stopping it is reserved for uninterrupted upgrades. The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content. K8s is Kubernetes. Also, a good example is the Civo managed K3s service, as it also abstracts away the control plane and provides uptime guarantee comparable to hyperscalers. Hey there, I am playing around with k3s alot and I am not able to expose a service on Port 80 (because traefik uses this port) via a deployment file. k3d, a featherweight in local Kubernetes deployment, shares a similar approach to kind but opts for deploying a lightweight k3s instead of standard Kubernetes. You're going to get more value IMO. Hi everyone, I am currently running VMs (mainly for docker) and a few LXC containers on a Proxmox cluster without HA. Need some help in deciding a CICD tool for getting things started for a web app project which relies almost AWS Infra (Server less). K3d/K3s are especially good for development and CI purposes, as it takes only 20-30 seconds of time till the cluster is ready. i build a small k3s cluster to lern kubernetes. It is easy to install and requires minimal configuration. The advantage of kind is being able to very quickly create a hermetic, disposable, predictable kubernetes cluster on-demand. --> k3d has "artificial" memory limits for nodes, where we fake meminfo files, so that K3s thinks that the node has less resources available. Oracle Cloud actually gives you free ARM servers in total of 4 cores and 24G memory so possible to run 4 worker nodes with 1 core 6G each or 2 worker nodes with 2 cores and 12GB memory eachthen those of which can be used on Oracle Kubernetes Engine as part of the node pool, and the master node itself is free, so you are technically free Learner Here, Starting a small project and would like to learn and implement CICD for a project . That might be annoying. A couple of downsides to note: you are limited to flannel cni (no network policy support), single master node by default (etcd setup is absent but can be made possible), traefik installed by default (personally I am old-fashioned and I prefer nginx), and finally upgrading it can be quite disruptive. I will make public my Github repo, once I iron all the little issues, with your advice. tf; The other EC2 instance types are defined/overrided in asg. 24. This article highlights and compares two other reliable tools, kind and k3d, to help you run lightweight Kubernetes in local and remote environments. . All materials and instructions will be on I still don't understand why I would assign a pool of IP addresses to a metallb. it'll also manage the k3d cluster and git repos with terraform thats been automated with atlantis. Additional context / logs: I'd really like to hear more of these kind problems. k3d. I was planning on using longhorn as a storage provider, but I've got kubernetes v1. This will remove the traefik ingress. /r/GuildWars2 is the primary community for Guild Wars 2 on Reddit. io. K3d, K3s, Kind, MicroK8s, and MiniKube: What sets them apart? Each of these tools provides an easy to use and lightweight local Kubernetes environment for multiple platforms, but a few things set them apart. K3s vs minikube. If you want to learn normal day-to-day operations, and more "using the cluster" instead of "managing/fixing the cluster", stick with your k3s install. Where is the difference though? The resour I'm currently building my home lab on a new K3s cluster using 8 Raspberry Pi 4B 8GB (3 control planes, 5 nodes), with: Cilium Longhorn MetalLB Prometheus Stack I use Ansible to deploy K3s, as well all above listed components. 4, whereas longhorn only supports up to v1. k3s and explore the pros and cons of each. Also you can have few ingresses. Personally I'm leaning toward a simple git (or rather, pijul, if it works out) + kustomize model for basic deployment/config, and operators for more advanced policy- or Get the Reddit app Scan this QR code to download the app now. K3s, for example, offers a VM based Kubernetes environment. There are two really popular Kubernetes distributions that many like to use for local development, home labs, and smaller environments. Key Features Comparison: Minikube, Kind, and K3s There seem to be a lot of extra applications getting involved here which I’m struggling to see the value of in a k3s setup. Like AWX, it has K3s is a fully conformant production-ready Kubernetes distribution with the following changes:. K3s vs K0s has been the complete opposite for me. When I ran it on docker I had to create a macvlan network for this purpose. K3S is legit. Nomad can even orchestrate any kind of workload and not containers. this is why I say it's great for running experiments, because you can get an environment closer to your target environment, and if it's an issue with the cilium CNI that you're trying to track down, you can run Cilium in your Kind cluster then as well. Cross IDE support: VS Code and the full JetBrains suite is supported. minikube is a Kubernetes SIGs project and has been comparing k3d and kind [11:50 AM] Enrique Gonzalez k3d vs. Always interesting to read about problems other companies are struggling with. I’ve read various things about pros and cons of devops/pipelines vs GitHub actions, but given my specific situation, what would you guys recommend? Someone said actions is less of a headache if you are a full stack developer, that’s the kind of thing I’m wondering. 1. k3d vs k3s vs kind vs microk8s vs minikube : a comprehensive guide to choose for local Kubernetes development !! thechief. k3s vs. K3s: K3s is a lightweight Kubernetes distribution that is specifically designed to run on resource-constrained devices like the Raspberry Pi. Local Kubernetes — MiniKube vs MicroK8s For me the easiest option is k3s. looking at reddit or GitHub it's hard to get any questions around k0s answered in We chose cilium a few years ago because we wanted to run in direct-routing mode to avoid NAT‘ing and the overhead introduced by it. (on a side note, there is k0s project too) Proposed by @svenwal r/k3s: Lightweight Kubernetes. But that’s not HA or fault tolerant. K3s, for example, offers a I've been working on a tool to help dive into Minikube/KIND/k3s/etc logs for tests running on Github and would like some feedback. It adds support for sqlite3 as the default storage backend. DevPod runs solely on your computer. Glad that was helpful. Expected behavior: A playbook is provided to upgrade K3s on all nodes in the cluster. I'm now looking at a fairly bigger setup that will start with a single node (bare metal) and slowly grow to other nodes (all bare metal), and was wondering if anyone had experiences with K3S/MicroK8s they could share. kind. Does Traefic support all of Nginx features? I am almost sure that no. Check out what you can do via k3d help or check the docs @ k3d. This means it inherits k3s’s pros and cons, boasting incredibly In Kind, you can set up multiple node clusters, decide on CNI options for yourself, etc. When it comes to k3s outside or the master node the overhead is non existent. microk8s vs minikube Running Kubernetes locally is a great Docker itself uses containerd as the runtime engine. It is. Both very important for learning. Doing multi-node multi-cluster stuff eacht with a full blown prometheus + loki + tempo + grafana setup has been taking its toll on my poor laptop. At this point, I couldn’t find out why it is For auto discovery of devices. It supports ingress and is a breeze to deploy. 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. If we'd need to update the cluster itself, we probably would just try, if it Each part is in its own git repo right now. Best I can measure the overhead is around half of one Cpu and memory is highly dependent but no more than a few hundred MBs Hi, I've been using single node K3S setup in production (very small web apps) for a while now, and all working great. If you're trying to run k3s in a high availability cluster (meaning 3 control planes) then you have to use etcd. Let’s take a look into Minikube vs. I plan to use Rancher and K3s because I don't need high availability. restart the k3s. kubeadm: kubeadm is a tool provided by Kubernetes that can be used to create a cluster on a single Raspberry Pi. So, looking solely at local use, especially for devs working with macbooks, I believe k3s/d is a great choice Even when kubernetes isn't "doing anything" it is still constantly running control loops to query the state of the system, compare that to the desired state, and determine if anything needs to be changed. , sealed-secrets) If I had to choose between Rundeck and AWX on k3s, I'd choose AWX on k3s. https://192. very nice and repeatable setup. k3s for small (or not so small) production setups. But that was a long time ago. comparing k3d and kind [11:50 AM] Enrique Gonzalez k3d vs. So you can have nginx one, haproxy, traefic at the same time. tf, and are: Step 1: Discover k3s. Though, etcd has mostly faded to the background with kubeadm being as solid as smooth as it is now. This might trigger the autodeploy. But it also comes with some extras out of the box: An ingress is running by default Persistent Volumes work by default Enable a local registry with a single flag (instead of a complex shell script) K3s uses far less resources I once had a kernel module test fail because the host’s netfilter tweaks caused havoc in a kind-managed cluster. Thank you for following along with this comprehensive k3s manual. Kind is another project driven by a Kubernetes SIG. Then most of the other stuff got disabled in favor of alternatives or newer versions. +1 Good answer. It also contains the YAML for the automated update controller and the CRDs for controlling the k3s version itself. To use it, update k3s_version with the desired version in inventory. kind vs. cored Yeah HA isn't really a consideration, mostly because convincing these businesses to 3-4x their sever costs (manager, ingress, app_1_a, app_1_b, ) is a hard sell, even for business critical infrastructure 1. No problem. Or check it out in the app stores to get started with Kubernetes on your own computer. It's a little more simple to use, hence less configurable. I have also set up a k3s cluster incl loadbalancing and HA on a few VMs on top of that to familiarize myself with kubernetes. Yes, k3s is basically a lightweight Kubernetes deployment. 105:6443 (server) EXTRA_K3S_SERVER_ARGS: Optional extra args provided to k3s server, e. So I wiped the server and started over, this time I began creating helm charts and was using K3s. 23, there is always the possibility of a breaking change. Cluster API k3s. Production ready, easy to install, half the memory, all in a binary less than 100 MB. These are Minikube and k3s. 5 does :) Reply reply drakgremlin • You can send me a direct message on kubefirst local will set up a k3d multinode cluster for you locally, then create a gitops git repository and push it to your personal github for you to bootstrap that cluster with a complete platform using argocd gitops. 5, I'm trying to set up a k3s instance on a Raspberry Pi running Debian 12 bookworm. A Linux vm is a Linux vm Additionally, K3s comes with built-in support for Helm, making it easier to manage applications and services within the cluster, and it automatically handles common tasks like managing certificates and networking, which can significantly reduce the operational overhead for users. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. I have a Pi cluster using Flux2 and a gitops repo for all of my helmrelease files. We should investigate and measure if this can speed up our development/testing times and what are the drawbacks of using K3s vs K8s. --tls from this topic #6095 (comment), but it never helped. Also worth considering is ARA for playbook reporting, and then whatever you want for orchestration (Jenkins, Azure Devops, Rundeck, etc). 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 That said, i think we need to be able to express the intention of "just an upgrade of k3s" vs "the need of a restart of the node itself". service and it will redeploy traefik if it is missing If that doesnt work, maybe try forcing it: add "--no-deploy traefik" option when starting k3s. Other IDEs can be connected through ssh. The thing that is not clear is do you actually really need 2 clusters: one for the Rancher admin part (which seems to run k8s itself) and a second cluster for your So is not too different to full K8s now. Single master k3s with many nodes, one vm per physical machine. Additionally, K3s comes with built-in support for Helm, making it easier to manage applications and services within the cluster, and it automatically handles common tasks like managing certificates and networking, which can significantly reduce the operational overhead for users. Try Oracle Kubernetes Engine. I can get k3s installed, but once it's running, none of the containers can be created. 5, while with cluster-api-k3s you need to pass the full qualified version including the k3s revision, like v1. But exposing via kubectl works like a charm. The guy who set up that repo did a really good job in simplifying it without all the complexities of understanding k8s. I would use k3s if running on a Linux host and targeting "roughly the latest Kubernetes API" is sufficient, k3d if running on a MacOS host or if you needed Kind and K3s are Kubernetes tools that leverage Docker containers to provide flexible and scalable Kubernetes distributions compared to their competitors. This isn't really the direction we are taking k3s. kube-vip, I’m not sure what benefit this provides when you can port forward directly to whatever node you’ve allocated as the controller anyway. Example Workflow: Create a new cluster and use it with kubectl. 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. I can't really decide which option to chose, full k8s, microk8s or k3s. Do you have k3s running in kind of a production system for a longer period and if yes how has been your experience regarding reliability, troubleshooting and doing updates? I tested the speed of k3s vs minikube -- k3s was about 3x faster at starting up. Again, the syntax is slightly different depending on whether you installed k3s-ansible with ansible-galaxy or if you run the playbook from within the cloned git repository: k3d or kind combined with skaffold/devspace/tilt. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. github-project-automation bot moved this from New to Done Issue in K3s Development Feb 18, 2025 Sign up for free to join this conversation on GitHub . My single piece of hardware runs Proxmox, and my k3s node is a VM running Debian. k3d cluster create CLUSTER_NAME to create a new single-node cluster (= 1 container running k3s + 1 loadbalancer container) [Optional, included in cluster create] k3d kubeconfig merge CLUSTER_NAME --kubeconfig-switch-context to update your Developed by Rancher, for mainly IoT and Edge devices. For example I use k3s to run HA clusters on prem with kube-vip and nginx (ingress controller). No etcd, only postgres, I don't want that kind of useless write pressure on my node SSDs. microk8s vs. It was my impression previously that minikube was only supported running under / bringing up a VM. minikube | by Aymen Eon Amri | Jul, 2021 | FAUN k3d vs. Dig deeper into Kubernetes concepts like jobs, volumes, Helm etc. Minikube vs kind vs k3s Wrote a little comparison between Minikube, kind and k3s. Install debian and run k3sup join command. Rundeck gives you some nice AWX-like features that are also script agnostic. For my Homelab I'm looking into Rancher rke2 as kind runs everything inside docker and I'm looking to passthrough GPU etc GitHub repository: kubernetes-sigs/kind; GitHub stars: ~8,500; Contributors: 200+ First commit: September 2018; Key developer: Kubernetes SIG; Supported K8s versions: 1. K3S seems more straightforward and more similar to actual Kubernetes. [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. We should investigate and measure if this can speed up our development/testing times and what are the In this post we’ll have a look at three of them, compare their pros and cons and identify use cases for each of them. Given that information, k3OS seems like the obvious choice. It's optimized for CICD testing, not for learning. Kind. Etcd3, MariaDB, MySQL, and Postgres are also supported. On Mac you can create k3s clusters in seconds using Docker with k3d. k3s. But k3s with an alternative backend sure is convenient for the tinker setups! If it's for that kind of thing, meh. 28. My Own Kind k8s cluster is installed on CentOS 7 containers. Why would I ever want to assign a range of ips in production-public-ips pool, to some kind of service object, at the end not Which one did you go with ? I'm also looking at swarm and k3s for my home network as I have a lot of apps ( singleton, no HA ) running in containers now. Let's take for example Requesting Specific IPs subsection from documentation about request assignment from a specific pool, named in this case production-public-ips. I use k3s with kube-vip and cilium (replacing kube-proxy, thats why I need kube-vip) and metallb (will be replaced once kube-vip can handle externalTrafficPolicy: local better or supports the proxy protocol) and nginx-ingress (nginx-ingress is the one i want to replace, but at the moment I know most of the stuff of it). The idea is that you run an action to dump the cluster logs, then you upload them to our servers, and our Github app links to an interactive log viewer in a Get the Reddit app Scan this QR code to download the app now. Um, exactly the opposite. Take a look and let me know which technology you started with. What you learn on k3s will be helpful in any Kubernetes environment. I can spin up a cluster in 1 command and tear it down just as easily. It provides a VM-based Kubernetes environment. This is great and the feature alone is even more important then node-restarts, since it will be used more often. io | K3S_URL=<server ip> K3S_TOKEN=<server token> sh -s - --docker; check on master node: sudo k3s kubectl get node; Expected behavior: K3s agent successfully connected to master. If you want even more control over certain components, that you don't get with k3s, use kubeadm. Pretty amazing I have used k3s in hetzner dedicated servers and eks, eks is nice but the pricing is awful, for tight budgets for sure k3s is nice, keep also in mind that k3s is k8s with some services like trafik already installed with helm, for me also deploying stacks with helmfile and argocd is very easy to. Contribute to k3s-io/k3s development by creating an account on GitHub. I use k3s on my arm boards; other than that; kind is fantastic for development/testing/research. I use k8s in prod and docker compose on my dev machine. However, looking at its GitHub page, it doesn't look too promising. As you can see with your issue about 1. That's why it's called My Own Kind. For my needs k3s/k3d and kind work phenomenally. 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. In this post we’ll have a look at Minikube vs kind vs k3s and compare their pros and cons and identify use cases for each of them Git is the intelligent part - it is the source code version control system GitHub (like Bitbucket, Gitlab, etc) is just a repository hoster - basically a storage location for git repositories - think of it as a backup storage. K3s is a lightweight K8s distribution. There are differences though. Along the way we ditched kube-proxy, implemented BGP via metalLB, moved to a fully eBPF based implementation of the CNI with the last iteration and lately also ditched metalLB (and it‘s kube-router based setup) in favour of cilium-powered I run bone-stock k3s (some people replace some default components) using Traefik for ingress and added cert-manager for Let's Encrypt certs. We are going to continue to focus on and invest in non-etcd solutions for k3s's database. See the repo I posted before. 168. After that, you'll want to make those three nodes control plane nodes and start adding worker nodes from there. For local development of an application (requiring multiple services), looking for opinions on current kind vs minikube vs docker-compose. - able8/translate-docs Installed latest K3s: curl -sfL https://get. As its name suggests, kind spins up k8s clusters in Docker containers called nodes. I use nfs for PVCs anyway and my NAS while fast is a single failure point. For single node installs, the primary motivation for using sqlite is that etcd is much more resource intensive that sqlite. Already have an account? One of the big things that makes k3s lightweight is the choice to use SQLite instead of etcd as a backend. 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. Rich feature set: DevPod already supports prebuilds, auto inactivity shutdown, git & docker credentials sync, with many more features to come. 5+k3s2. If you google monitoring solutions for k3s you always get the full stack via helm oder from some github repos. Unless you have some compelling reason to use docker, I would recommend skipping the multiple additional layers of abstraction and just use containerd directly. Their Job Options feature is like a souped-up version of AWX Surveys, but they work with any kind of scripts and not just playbooks. It uses cri-o instead of containerd, it works with Podman, It's written in Bash. I can only see local Kind clusters in OpenLens :( UPDATE 2: The version 6. io Open. 3 doesn't work with AKS, but the version 6. I'm trying to setup Kubernetes on my home server(s). kubectl apply -f - apiVersion with CAPA, you need to pass a k8s version string like 1. yml and run one of the following commands. Explore the k3s architecture - how the embedded database, agents etc work. Kind vs. I enjoyed the process of over engineering things and so now I present to you UltimateHomeServer - UltimateHomeServer is a user-friendly package of open-source services that combine to create a powerful home server, capable of replacing many of This is a CLI tool designed to make it incredibly fast and easy to create and manage Kubernetes clusters on Hetzner Cloud using k3s, a lightweight Kubernetes distribution from Rancher. It can work on most modern Linux systems. 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