K3d vs k3s reddit I just really got a LOT of value out of k3d + k3s as a beginner. It also is fully API compatible with Kubernetes so you could use it in a dev environment or low capacity production environment (low resource hardware). It uses DID (Docker in Docker), so doesn't require any other technology. felixwiedmann. 21; K3s is a Kubernetes distribution by Rancher with a name similar to K8s but “half as big” to emphasize Get the Reddit app Scan this QR code to download the app now. How To: Deploy K3S using K3D (with all node ports available), and then manage with Portainer. I'd looked into k0s and wanted to like it but something about it didn't sit right with me. This means it btw. Running K3S bare metal is also an option since it doesn’t even use docker at all. On Mac you can create k3s clusters in seconds using Docker with k3d. I run three independent k3s clusters for DEV (bare metal), TEST (bare metal) and PROD (in a KVM VM) and find k3s works extremely well. Minikube vs kind vs k3s - What should I use? brennerm. ” If I use the exact same config but leave KlipperLB For k3s, it would be the same as docker. Open menu Open navigation Go to Reddit Home. But now I'm having bad neighbor problems and want to have an actual cluster using K3s, and I wasn't sure what the best way to go about it was. Docker still uses a VM behind the scenes but it's anyway lightweight. Even though there’s all kinds of fancy stuff out there, these days (like tilt)I still default to k3d when I need to quickly spin up a small throw-away cluster locally. upvotes · K3s does support HA controller nodes out of the box. K3s was great for the first day or two then I wound up disabling traefik because it came with an old version. I can spin up a cluster in 1 command and tear it down just as easily. If you want a bit more control, you can disable some k3s components and bring your own. 5igm4 • Should be, yeah Reply reply More replies More replies More replies. for local development on Kubernetes. Cilium's "hubble" UI looked great for visibility. K3s can be run inside Docker containers using K3D, giving developers flexibility in their development and testing environments. Suse releases both their linux distribution and Rancher/k3s. Kubernetes is pretty easy to use but has a high learning curve. Then most of the other stuff got disabled in favor of alternatives or newer versions. k3d is a wrapper of k3s but one of the apparent differences is that k3s deploys a virtual machine-based Kubernetes cluster while k3d deploys Docker-based k3s Kubernetes clusters. other Kubernetes distributions is its broad compatibility with various container runtimes and Docker images, significantly reducing the complexity associated with managing containers. One of the key differences is that k3d deploys Docker-based k3s Kubernetes clusters while k3s deploys a virtual machine-based Kubernetes cluster. 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). So far I'm experimenting with k3s on multiple photon VMs on the same physical host, for convenience, but I think I'm going to switch to k3s on Raspberry Pi OS on multiple Raspberry Pi 4B nodes for the final iteration. That's handy as all get and opens up a number of interesting possibilities. It is bound to Rancher's k3s Kubernetes distribution. At Get the Reddit app Scan this QR code to download the app now. K3S seems more straightforward and more similar to actual Kubernetes. 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 . Take a look and let me know which technology you started with. Also, I'd looked into microk8s around two years ago. Just bragging a bit here. Installing k3s is simple and is a single binary you download and run. I've already added more replicas of CoreDNS and verified that the necessary ports PS I hate reddit formatting. The embedded sqlite doesn't replicate between master nodes. If you feel the need to do a "proper" k8s installation with kubeadm, go for it. I was trying to decide between MicroK8s and K3s, but I think I have landed on using K3s. Get app Get the Reddit app Log In Log in to Reddit. k3d allows you to easily create single and multi-node k3s clusters for seamless local development and testing of Kubernetes applications while enabling easy k3d 是 k3s 的包装器，顾名思义就是 docker 上的 k3s。 它还提供了额外的功能，例如代码的热重载、构建部署和使用多服务器集群测试 Kubernetes 应用程序。 k3d 部署基于 Docker 的 k3s Kubernetes 集群，而 k3s 部署基于虚拟机的 Kubernetes 集群。 K3d 提供了一个更具可扩展性的 k3s 版本，这可能使其优于标准 k3s View community ranking In the Top 10% of largest communities on Reddit. So far, I have setup K3s itself, Helm, Flux, and a few applications Skip to main content. It took less than a day to throw together. Isn't k3d just for running k3s on docker, similar to kind? Am I missing something? Reply reply koshrf • That was a typo, I meant K3s Reply reply more reply More replies. I've got a K3s cluster running on two machines - one acting as the master and the other as a worker. ). io/v1alpha4 kind: Simple metadata: name: example servers: 3 agents: 3. TLDR; Which one did you pick and why? How difficult is it to apply to an existing bare metal k3s cluster? K3s vs K0s has been the complete opposite for me. I use my Synology NAS as part of the control/data plane for my k3s cluster. 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. So you can not just "run pods" but spin up multiple nodes. k9s - 🐶 Kubernetes CLI To Manage Your Clusters In Style!. Log In / Sign Up; But I cannot decide which distribution to use for this case: K3S and KubeEdge. io) GitHub repository: k3s-io/k3s (rancher/k3d) GitHub stars: ~17,800 (~2800) Contributors: 1,750+ (50+) First commit: January 2019 (April 2019) Key developer: CNCF (Rancher) Supported K8s versions: 1. Nodes of a k3d cluster are docker containers running a k3s image. We ask that you please take a minute to read through the rules and check out the resources provided before creating a post, especially if you are new here. For my needs k3s/k3d and kind work phenomenally. /Edit: u/KRS_33 If you don't mind you could update the title from "RancherOS vs K3S" to "RancherOS vs K3OS" to make it more exact what is compared here. https://k3d. 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 For me the easiest option is k3s. Also k3d is a great tool for managing k3s cluster launch configurations. K3s; K3d; K3s Vs K3d : What is the difference? k3s. We are Reddit's primary hub for all things modding, from troubleshooting for beginners to creation of mods by experts. It is an efficient, lightweight tool designed to run production-level Kubernetes on local machines. x, k3d injects entries to the NodeHosts (basically a hosts file similar to /etc/hosts in Linux, which is managed by K3s) to enable Pods in the cluster to resolve the names of other containers in the same docker network (cluster network) and a special entry called host. Reply reply More replies. io | sh - 书籍遍历链接： 【容器云】K3d vs k3s vs Kind vs Microk8s vs Minikube. That being said, I've got a five node K3s cluster running like a boss. So far, it looks like podman is not entirely supported by k3d. Note: k3d is a community-driven project, that is supported by Rancher (SUSE) and it’s not an official Rancher (SUSE) project. You can choose an environment based on platform support, Unveiling the Kubernetes Distros Side by Side: K0s, K3s, microk8s, and Minikube ⚔️ I took this self-imposed challenge to compare the installation process of these distros, and I'm excited to k3d, a featherweight in local Kubernetes deployment, shares a similar approach to kind but opts for deploying a lightweight k3s instead of standard Kubernetes. NAME ROLE CLUSTER STATUS. I have a raspberry pi 4 (4gb) that I want to cluster w/ an old laptop For a new role at work, production will be on either of Amazon or Azure's hosted Kubernetes; but development will be done locally on a mac. If i gave it a range of IPs; What happens if the range of Initially I did normal k8s but while it was way way heavier that k3s I cannot remember how much. . If you want even more control over certain components, that you don't get with k3s, use kubeadm. There're many mini K8S products suitable for local deployment, such as minikube, k3s, k3d, microk8s, etc. k3s. 9/ Note: I don’t work for/with anybody that’s affiliated with Rancher, k3s, or k3d. For instance it would not generate events for when configs where changed nor was resource limits Both k3s and k3d are lightweight tools that allow you to deploy and run Kubernetes on your local machine with less operational effort compared to deploying k8s. There is more options for cni with rke2. k3d makes it very easy to create single- and multi-node k3s clusters in docker, e. For some reason, if I start rancher desktop’s k3d cluster with KlipperLB disabled and then install metalLB instead, all of my ingresses return “connection refused. vagrant up and you're off to the races. Both very 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. MicroK8S offers more features in terms of usage but it is more difficult to configure and Local Kubernetes environments like Minikube, Kind, Docker Desktop, K3s, and Microk8s provide lightweight, isolated clusters for development and testing. k3s (and k3d) Website: k3s. This means it inherits k3s’s pros and cons, boasting incredibly fast setup times—don’t worry about correctness; just marvel at the speed. Alternatively, if want to run k3s through docker just to get a taste of k8s, take a look at k3d (it's a wrapper that'll get k3s running on 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. Kind is another project driven by a Kubernetes SIG. It is lightweight and has a low memory footprint due to Im using k3s, considering k0s, there is quite a lot of overhead compared to swarm BUT you have quite a lot of freedom in the way you deploy things and if you want at some point go HA you can do it (i plan to run 2 worker + mgmt nodes on RPI4 and ODN2 plus a mgmt only node on pizero) Posted by u/[Deleted Account] - 77 votes and 46 comments As of k3d v5. You are going to have the least amount of issues getting k3s running on Suse. k3d-k3s-default-agent-0 agent k3s-default running That is a pretty decent list. It cannot and does not consume any less resources. The trade-offs include a super-slimmed-down OS (sans glibc), View community ranking In the Top 1% of largest communities on Reddit. It supports ingress and is a breeze to deploy. io (and k3d. Was put off microk8s since the site insists on snap for installation. This being fedora, i wanted to try/use Podman. Wer'e trying to move our workload from processes running in AWS pambda + EC2s to kubernetes. r/kubernetes A chip A close button. They both run kubernetes nodes in docker containers and leave no trace behind after deletion. Read more. I want to add additional agent or server into existing cluster. My problem is it seems a lot of services i want to use like nginx manager are not in the helmcharts repo. We should manually edit nodes and virtual machines for multiple K8S servers. It provides a VM-based Kubernetes environment. Reply reply Top 1% Rank by size . 3 weeks 6 days ago 【安全技术】Barreto-Naehrig曲线和密码配对. My cluster is in AWS. K3s, for example, offers a Get the Reddit app Scan this QR code to download the app now. kind - Kubernetes IN Docker - local clusters for testing Kubernetes . Except you use docker or similar way to separate agent and server. Originally I used Kops but it was way too expensive so I switched to K3s (single node cluster). hetzner-k3s - The easiest and fastest way to create and I ended up spinning up VMs with multipass and setting up k3s on Ubuntu. I find I use the k3d binary as much as I do kubectl. How does this work? I don’t have a bunch of devices i can sparingly use as a stand alone server for its IP. I have looked into k3d and kind, but both of those seems to need Docker installed. kind. 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 to target a very specific release of Using k3s on a Hetzner saves me a load of cash. It seems quite viable too but I like that k3s runs on or in, anything. All Nodes of a k3d cluster are part of the same docker network. That is not k3s vs microk8s comparison. Reply reply Top 2% Rank by size . Ideas from my kubernetes experience: Small Kubernetes for local testing - k0s, MicroK8s, kind, k3s, k3d, and Minikube Posted on February 21, 2022 · 1 minute read I am sure it was neither K3s nor K0s, as there was a comparison to those two. View community ranking In the Top 1% of largest communities on Reddit. g. At this point, I couldn’t find out why it is Overview¶. Members Online. apiVersion: k3d. INFO[0005] Starting Node 'k3d-k3s-default-serverlb' INFO[0005] (Optional) Trying to get IP of the docker host and inject it into the cluster as 'host. 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. k3d covers many of the shortcomings of k3s like speed, difficulty in creating multiple clusters, and scalability. It consumes the same amount of resources because, like it is said in the article, k3s is k8s packaged differently. internal which resolves to the IP of the network gateway (can be used to e. kubespray - Deploy a Production Ready Kubernetes Cluster . Eventually they both run k8s it’s just the packaging of how the distro is delivered. Has anyone successfully gotten pihole-docker to run using k3s+k3d+podman? Podman doesn’t look like it lets you use docker-compose syntax, but k3s has konvert or other utilities for converting a docker-compose. k3d is a wrapper around k3s so you can run it on top of Docker. I run a few GPU intense tasks such as local LLMs, and some graphics work. k3s + k3d - perfect local dev solution. K3d offers a more scalable version of k3s which might make it Last time around when I tried k3d it had a few important feature limitations. Although they serve a similar purpose, there are key differences between the two that are important to consider when choosing the right tool for your needs. k3d. Check out my post on using K3D with k3s here: Install K3s on Ubuntu with K3D in Docker. Log In / Sign Up; Advertise I bought myself a couple of Cobra knockoffs on Ebay to find what size of K3D cage I want. Kubernetes discussion, news, support, 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*. In With k3d, this is possibility and is also fast AF. k0s - k0s - The Zero Friction Kubernetes . You can deploy 3 masters and a couple workers in Docker containers and do your learning on what is a real production looking cluster. More posts you may like r/kubernetes. If the context of your application can do well without the cluster's dependencies it may be worthwhile trying out these local solutions. k3d is a wrapper of k3s but For performance-constraint environments, K3S is easy to use the lightweight Kubernetes implementation. Kubernetes discussion, news, support, and link sharing. de. More posts you may like r/gamedev. k3d [flags] Options¶-h, --help help for k3d --timestamps Enable Log timestamps --trace Enable super verbose output (trace logging) --verbose Enable verbose output (debug logging) --version Show k3d and default k3s version SEE ALSO¶ k3d cluster - there’s a more lightweight solution out there: K3s It is not more lightweight. Expand user menu Open settings menu. I believe you can do everything on it you can on k8s, except scale out the components independently. Once everyone gets accustomed to always Both distributions can be run inside a virtual machine. Reply reply opensrcdev • k3s Reply reply Inverted-Zebra • Everyone’s answers here are great but k3d is a wrapper that allows you to create faster and highly available k3s clusters in Docker containers. k3s vs k3d: What is the difference? Both k3s and k3d are lightweight tools that allow you to deploy and run Kubernetes on your local machine with less operational effort compared to deploying k8s. resolve Harnessing K3s Benefits: What sets K3d apart is its underlying foundation – the K3s distribution. I've seen some solutions such as k3d/UTM/Parallels to run k3s locally. Also note the path you're on can be unsustainable and difficult to untangle. I have a live cluster that already exist, and I wanted to leverage the power of my M1. Specifically my questions are: Should I have a dedicated master? I'm learning K3s at home on a single-node cluster (I don't need redundancy, yet). This seems to be easy solution. Oh, and even though it's smaller and lighter, it still passes all the K8s 124K subscribers in the kubernetes community. k3s vs minikube: What are the differences? Introduction: K3s and Minikube are both tools used to manage Kubernetes clusters and facilitate the deployment of containerized applications. internal' for easy access INFO[0007] Successfully added host record to /etc/hosts in 2/2 k3d, a featherweight in local Kubernetes deployment, shares a similar approach to kind but opts for deploying a lightweight k3s instead of standard Kubernetes. How do i know which is which? I don't want them to get mixed up and there's no visual difference. Hey all, it's not been long since I started playing around k3s. If one were to setup MetalLB on a HA K3s cluster in the “Layer 2 Configuration” documentation states that MetalLB will be able to have control over a range of IPs. k3s cluster setup with k3d . mariadb for 2 HA server nodes and various other apps 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. I have not used k3d yet for creating k3s cluster and all stuffs. # k3d node list. The servers and agents config options are present on older apiVersions as well. Minikube vs. Also, k3s I give you my opinion on the pros and cons of MiniKube, Kubeadm, Kind and K3S. I'm facing a perplexing issue with my K3s cluster and really could use some help troubleshooting. 4. I use k3s as my petproject lab on Hetzner cloud. 1 month ago . r/chastitytraining A chip A close button. Strangely, the worker node seems to have trouble resolving DNS. For just a single node etcd is a bit heavy. :) For K3S it looks like I need to disable flannel in the k3s. ← 【容器云】Calico 组件架构; ⤊ 向上 【容器云】Kubernetes API 访问安全加固(1) →; Article. yml to the k8s config files, so maybe it’s possible? When I tried just to see, I got that I Using k3s at home to learn is great and you won't really be missing out on much, it's just worth learning what k3s actually is and the different ways to run Kubernetes. I was trying to add my MacOS M1 device to the k3s cluster that already exist. Need Help I have migrated from dockerswarm to k3s. By inheriting the performance optimizations and feature set of K3s, K3d benefits from a high level of efficiency and I recently bought the New K3 and noticed the box and the DAC itself looks exactly the same as the regular K3. Microk8s also needs VMs and for that it uses Multipass. Veevoh • What are you trying to achieve with k3s HA? If you are just trying to learn kubernetes basics I would suggest just running it all on a single VM, I am using k3d on my laptop for a couple workloads and learning more about k8s. /Edit: Not possible as titles are immutable If you're trying to run k3s in a high availability cluster (meaning 3 control planes) then you have to use etcd. To download and run the command, type: View community ranking In the Top 1% of largest communities on Reddit. Or check it out in the app stores I usually go for k3d or kind. 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. Or check it out in the app stores I am doing this because I want to and to learn (at some level) how to cluster w/ K8s. And the woooaaah moment for me is when you discover k3d : the tool created by Rancher to create a k3s that runs on docker containers. 5igm4 • I love k3s actually, and we're running it prod on Pi4s. When I restart the cluster, like when I reboot the laptop, the traefik ingress/loadbalancer service comes up with a different IP address. So if you Hey all, it's not been long since I started playing around k3s. Keep in mind, that you'll need a decent machine to run all of this. I am also pretty sure that it wasn’t K2d. Or check it out in the app stores Minikube vs k3d vs MicroK8s - Which is the best for local Kubernetes? upvotes · comments. Installation Complexity: K3s is designed 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. Even the snapshot-controller was recently added to k3s. Security and Automatic Updates Ensuring Security in Kubernetes Distributions k3OS is built for the k3s Kubernetes distribution of Rancher designed for the edge (IoT etc). But we did throw an emergency, one-off production workload on it the other day and it was perfectly fine. If you are more interested in things running on kubernetes, than cluster management, you might want to look into k3s/k3d. It also has a hardened mode which enables cis hardened profiles. What is k3d?¶ k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. k3sup - bootstrap K3s over SSH in < 60s 🚀 . How to optimize your Kubernetes cost? Wrong answers https://k3d. We have a common Vagrant image we maintain that starts K3s plus other container development tools (k9s, docker, dive, etc). K3D has a lot more features than KinD but both are good choices and use very minimal resources. Note that k3s K3s & MetalLB vs Kube-VIP IP Address handling . Note the apiVersion, this config is for the latest K3d version released last week. It can work on most modern Linux systems. Many companies use managed Kubernetes instances in cloud providers, so if you also want to learn that then it's worth getting a free tier account at some of the cloud providers and practicing there. The options according to my research A significant advantage of k3s vs. I know could spend time learning manifests better, but id like to just have services up and running on the k3s. It uses both k3s (kubernetes) and did (docker in docker). Get the Reddit app Scan this QR code to download the app now. Mostly for just hacking around. Basically, I didn't want to spend $150 and get the wrong Skip to main content. io/v5. Installing k3s. rke2 is built with same supervisor logic as k3s but runs all control plane components as static pods. The only difference is k3s is k3s is great for local development and for testing, but I'll not use this for production environment. Can anyone please help me out with the difference it will make, if I create a cluster with k3s and cluster with k3d. 17—1. "Production" workload? I wouldn't go with K3s yet. These are perfect for ephemeral testing environments. I use k3s on my arm boards; other than that; kind is fantastic for development/testing/research. Primarily for the learning aspect and wanting to eventually go on to k8s. Homelab: k3s. r/kubernetes. 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, I second K3s/K3d. Developed by Rancher, for mainly IoT and Edge devices. Should not be that hard and you'll learn quite a bit. When it comes to k3s outside or the master node the overhead is non existent. In order to achieve this, they remove a lot of extra drivers that didn’t need to be part of the core and are easily replace K3S and K3D are awesome! We use it for testing in our baseline infra. Prod: managed cloud kubernetes preferable but where that is unsuitable either k3s or terraform+kubeadm. Update: I though an agent is required. I have moderate experience with EKS (Last one being converting a multi ec2 docker compose k3s is very good and can be run on most distros. We use it to showcase build from scratch gitops pulls. 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. I was considering that in HA for a production Rancher deployment, just K3S: Helmcharts vs Docker-Compose . Or check it out in the app stores But I am not knowledgeable enough to fully grok what the difference is with K3s, minikube, microk8s and even the full k8s. minikube - Run Kubernetes locally . You should try k3d. We use it to box offline presentation clusters. That Solr Operator works One big difference between them that I see is that k3s uses sqlite as the api's datastore. k3s does not have etcd, but uses a lot fewer resources. If you are using plain machines (not the cloud) I recommend you to use rke/rancher instead of k3s. How to run lightweight and efficient WASM workloads on Kubernetes. D part of the support for sqlite you can also use MySQL, PostgreSQL, things that pretend to be them, sqlite variants, or etcd itself. I have k3d created on Alpine. 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). I don't think there's an easy way to run Kubernetes on Mac without VMs. This thread is archived New comments cannot be posted and votes cannot be cast comments sorted by Best Top New Controversial Q&A mwhter • Additional comment actions You can't run a k3s server and a k3s agent on one machine. 4. That's what I am not able to figure out, and the exact differences between creating a cluster with k3s & k3d. $ brew install --cask multipass $ multipass launch --name k3s --mem 4G --disk 40G $ multipass shell k3s ubuntu@k3s:~$ curl -sfL https://get. 最新内容 【安全技术】理解零知识证明：第 5 部分 - 算术电路和 R1CS. comments sorted by Best Top New Controversial Q&A Add a Comment More posts you may like Check out k3d, it’ll spin up k3s clusters in docker on a single machine. I have all the k3s nodes on a portgroup with a VLAN tag for my servers. A new project that aims to bring K3s-in k3d is a lightweight wrapper to run k3s (Rancher Lab’s minimal Kubernetes distribution) in docker. Is there anything else in this space that can fit my description? I am NOT looking for Flatcar K2d K3d K3os K0s K3s Kairos microK8s MicroShift Minikube RancherOS Talos If you want to install a linux to run k3s I'd take a look at Suse. It is suitable for testing the production environment locally. K3s uses less memory, and is a single process (you don't even need to install kubectl). I only briefly used minikube but found pretty much what you're also seeing. service, not sure how disruptive that will be to any workloads already deployed, no doubt it will mean an outage. 6/ View community ranking In the Top 1% of largest communities on Reddit. Can’t access services running on Rancher Desktop’s K3d on Mac when klipperLB is disabled . K3d. Not sure I'd go with DO either, but that could simply be lack of education. Would probably still use minikube for single node work though. It is designed to be a single binary of less than 50MB that completely implements the Kubernetes API. What alternatives do i have to be able to keep podman with peace of mind and at the same time be able to spin a kubernetes cluster on my local laptop? K3S/K3D. r/devops. So it's very handy for local development, tests or experiments since you can create multinode clusters without having to spawn VMs. tyks hkum dqqh kmvsrp vcatg jouvi qvcbdd juk flzkv bcj sio gfi fqxymmy zleqtf hyslv