Microk8s vs docker reddit. do many companies still manage their .

Microk8s vs docker reddit Whilst MicroK8s installed, i was unable to run ANY MicroKs8s commands. There are many reasons for wanting a local Kubernetes cluster, like being able to test the deploymentmethod you’re using, checking how your application interacts with mo Horizontal scaling or vertical scaling is your choice. k8s generally sounds way over-complicated for this, something to manage docker containers might be better, but if you're I found k0s' architectural decisions slightly better than k3s', Mirantis bought Docker's enterprise business, so they need to present asap a viable upgrade path for Docker Swarm which means Microk8s is similar to minikube in that it spins up a single-node Kubernetes cluster with its own set of add-ons. Other than a tiny bit of cpu to run Docker itself (ie the orchestration of starting and stopping containers) there is, zero additional overhead to running something in Docker compared to running it directly on the box. Had a swarm which also worked great but went back to 1 box because of electricity costs vs bragging rights. If you go the Container route, you end up doing For most use cases, you won’t feel a difference between using Docker Desktop and a cloud provider; however, in the cases where you would normally make some special configurations to Kubernetes, you’re out of luck. For k8s I'd recommend starting with a vanilla distro like Kubeadm. do many companies still manage their k3s versus just using docker containers . If you are not using Docker for Desktop, you can remove the pauses. The memory and CPU overhead is minimal and you only need to learn a minimal number of concepts to get most applications running. If you are going to deploy general web apps and databases at large scale then go with k8s. reddit's new API changes kill third party apps that offer accessibility features, mod tools, and other features not It also offers features, that are not present in docker, but somebody wanting to migrate, there are hurdles: the API does not support network configs, yet and therefore tools like traefik will not work with the docker provider currently docker compose Kata Containers v. probably some years ago I would say plain docker/dcompose, but today there are so many helm charts ready to use that use k8s (maybe lightweight version like k3s,microk8s and others) even on single node is totally reasonable for me. I don’t know how performant or simple is swarm compared to k3s but I do know that it lacks features like ingress. Its low-touch UX automates or simplifies operations such MicroK8s and Docker Desktop are two popular tools for managing containerized applications on your local machine. With Docker, things can automatically update themselves when you use watchtower. IEEE cloud computing, 1, 3, 81--84. Docker just manages containers on Linux - so Docker is a component of Kube, not an alternative. IMO Longhorn is easiest when starting from scratch. The Dockerfile is basically instructions on what/how to run the actual program. K3d works pretty well too and sometimes I mix between those two. This hardly matters for deciding which tool to create/develop containers with. Under normal circumstances, Docker client is likely configured to talk to Docker Engine daemon from Docker Desktop. Since Strangely 'microk8s get pods', 'microk8s get deployment' etc. Community seems to be set on kubernetes with no other options. View community ranking In the Top 1% of largest communities on Reddit. Use kubespray which uses kubeadm and ansible underneath to deploy native k8s cluster. i hope they still offer good old fashioned ways to run apps. And if you screw it up you can issue a rebuild of the stack with two clicks. Docker still produces OCI-compliant containers that work just fine in K8s. You can even run docker within Proxmox VMs. Podman wins for security. minikube has --vm-driver=none which will just use Docker compose dir is replicated around via seafile. With Kubernetes, you can use keel to automate updating things. David Bernstein. If you're running Docker on MacOS or Windows (usually for development) then it does spin up a Linux VM sidecar to your main OS but within the VM the dockerized apps are not virtualized themselves but segmented using LXC, chroot, cgroups, Docker Swarm is largely alive only thanks to similarity of its manifest format with Docker Compose. Kubernetes can manage docker, for example (it can also manage other container systems - microk8s uses containerd for example). UPDATE The commands for setting up the cluster vary between microk8s, k3s, k8s etc (so deployment is different), but once your cluster is up and running, it should be the same (kubectl). UnRAID had a nice "appstore" with UI for all your docker config needs if you don't want to run docker or docker-compose from the shell. , and couldn't just take a docker-compose. deploy some „echoserver“ and learn basic kubectl usage. I don’t think they have the same role. k3s and microk8s there's really no merit to the argument that kubernetes is complicated anymore. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. At Portainer (where im from) we have an edge management capability, for managing 1000’s of docker/kube clusters at the edge, so we tested all 3 kube distros. . I checked about docker and followed a 2 hours long video (The Indian guy that appears first when you look for a docker tutorial) that introduces docker. One for restarting docker. Reddit's original DIY Audio subreddit to discuss speaker and amplifier projects of all types, share plans and schematics, and link to Clearly microk8s-hostpath is not a standard storage class that I can use if tomorrow I decide to move to full-fledged Kubernetes. VSCode feels unobtrusive and performant, docker gives me a wide variety of software with very little work on my part. I think manually managed kubernetes vs Microk8s is like Tensorflow vs PyTorch (this is not a direct comparison, because tensorflow and PyTorch have different internals). I would need to go back and look at what’s running to figure out my configuration choices, but it’s backed by my internal self-signed CA for https, and I’m able to pull from it into microk8s. In this case, docker-compose is more declarative, but arguably doesn't add many advantages for a simple container or two. Hello, I'm really new to docker and I'm currently working on a university project about migrating a lab from a platform into another platform (Edge-net) using docker and kubernetes. Deploying microk8s is basically "snap install microk8s" and then "microk8s add-node". Then on the ashes of old-timers, RKE2 rancher standalone Kubernetes distribution was born. MicroK8S Glad to know it wasn’t just me. I must say that there are many interesting challenges using Pi-hole in kubernetes, especially on Ubuntu, so I figured I would document my process and share it! I wrote a guide for Pi-Hole using microk8s, which Reddit has long been a hot spot for conversation on the internet. work but I cannot access the dashboard or check version or status of microk8s Running 'microk8s dashboard-proxy' gives the below: internal error, please report: running "microk8s" failed: timeout waiting for snap system profiles to get updated. Google Scholar [5 Hi, absolute noob here. Most people just like to stick to practices they are already accustomed to. 04 on WSL2. In terms of efficiency, its the same. I strongly recommend using the docker-compose option, as it lets you spin up an entire stack at once, and you can still use the Dockerfile you had Docker - think of this like a shipping container you put all your code and run instructions into. In recent years, Reddit’s array of chats also have been a free teaching aid for companies like Google, OpenAI and Microsoft. I need to set up a cluster in microk8s with 2 docker containers i have on ubuntu. Want to add nodes? Microk8s join. That said, I don't advise using docker-compose for production when microk8s now exists Of course, it all comes down to use case CSCareerQuestions protests in solidarity with the developers who made third party reddit apps. This is why, imo, Docker (as a container platform) is dying - when it was only the docker around, many of its design flaws were overlooked. Need Help If HA is important to you, might as well bite the bullet and go K8S (or K3S, or microk8s, etc) Reply reply More replies. This subreddit has gone Restricted and reference-only as part of a mass Get the Reddit app Scan this QR code to download the app now. Essentially, Kubernetes is a way to manage multiple machines that can run containers. Proxmox is virtualization software so a heavier emphasis on VMs. There's the a lot of small shops don't need distributed computing. g. Containers and cloud: from lxc to docker to kubernetes. MicroK8s and Docker Desktop are two popular tools for managing containerized applications on your local machine. After adding a node to a MicroK8s cluster, I started getting connection-related errors on each invocation of the microk8s kubectl Hi, I'm pretty new to docker and one of the things that I find most troublesome are cron jobs inside docker containers. That's really important for learning purposes. Thank you! Got it! It’s weird that, even when docker is running in rootless mode, pushing image is working fine when microk8s is running inside multipass. Some of the distributions like k3s/k0s/microk8s and each clouds managed service has takes away a lot of the icky complexity by being opinionated on networking, routing, and storage. Microk8s monitored by Prometheus and scaled up accordingly by a Mesos service. Share Among other things this is needed to run dockerd straight from WSL without any Docker for Desktop shenanigans. Quite disheartening when it seems everyone is starting to move to docker for their releases. all pretty much same same. As soon as you hit 3 nodes the cluster becomes HA by magic. Or check it out in the app stores   Installing Kubernetes on WSL with Microk8s. I never encountered a situation where Docker Desktop felt like it was bogging my system down. The ramp up to learn OpenShift vs deploying a microk8s cluster is way steeper. The processes run on the same kernel as if they were running 'native'. podman) but most tutorials/examples are Docker so it's probably a better choice. Also I'm using Ubuntu 20. It's like a layer on top of Docker. MicroK8s is the easiest way to consume Kubernetes as it abstracts away much of the complexity of managing the lifecycle of clusters. Docker Desktop: a comparison. Talos, JuJu, Canonical's Microk8s, even Portainer nowadays, anything that will set up the cluster quickly and get basic functions like the load For me the easiest option is k3s. but now there's some company sitting between you and them. 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 is no longer supported as a containerd for K8s. Mostly for personal/educational projects or proof of concepts for work. One is running PostgreSQL the other is running apache with a Perl CGI script. The officially unofficial VMware community on Reddit. minikube and others just significantly simplify the k8s setup process and run best when they have their own VM to work with. Expand user menu Open settings then moved to Docker, and now to Kubernetes. I use the pauses because the CMD calling the PowerShell script to restart docker doesn't wait and just dies. I decided to switch my compose setup to k3s on my pi server. In order to create a cluster, you first need permissions to create Docker containers and networks. r/Proxmox. While MicroK8s provides a platform for learning concepts (so does minikube and many other projects derived in some way from Kubernetes), the resources on it are rather limited compared to what's out there for Kubernetes. k3d vs k3s vs kind vs microk8s vs minikube : a comprehensive guide to choose for local Kubernetes development !! Get the Reddit app Scan this QR code to download the app now. For immediate help and problem solving, please join us at https://discourse The contribution of this paper is a comparison of MicroK8s, k3s, k0s, and MicroShift, investigating their minimal resource usage as well as control plane and data plane performance in stress scenarios. The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content. DIY self-hosted portainer does not have licensing fees and you can manage your k3 or K8 however you want. Docker still uses a VM behind the scenes but it's anyway lightweight. Hey Reddit, TLDR: Looking for any tips, tricks or know how on mounting an iSCSI volume in Microk8s. kubernetes is much more powerful. try to understand cluster internal networking concepts. All you need for dokuwiki is a the docker Apache + PHP container. I think the team did a lot of work to simplify the experience for consumers. I spend most of my time in tmux / Vim inside WSL 2. Of course, Microk8s also has serious downsides. Last time I checked there was a for a local quickstart, use kind (kubernetes in docker) to get a close to vanilla k8s cluster running locally on docker. Its low-touch UX automates or simplifies operations such as deployment, clustering, and enabling of auxiliary services required for a I was interested in exploring microk8s in general and as an option for CI/CD workloads. I am running a Microk8s, Raspberry Pi cluster on Ubuntu 64bit and have run into the SQLite/DBLite writing to NFS issue while deploying Sonarr. See also Understanding Difference between Docker Swarm(Classic), Swarm Mode & SwarmKit. When using a managed platform using their native CSP is usually quickest (I'm guessing vSphere CSI Driver in your I got both running and I'd say the only step to get it running on my local sine node microk8s setup was mounting an unformatted partition. My main reason to switch to kubernetes from docker swarm even for smaller projects these days is that I have big concerns about the future of Docker Swarm project. I've just used longhorn and k8s pvcs, and or single nodes and backups. Don't forget that a ton of docker users are utilizing something like UnRAID or some other GUI that makes it stupid simple to use. These restarts clear the busy file issue. Sometimes that doesn't work for me so I will do a standalone docker installation and just use the standalone docker partainer install. What are your thoughts on the matter? MicroK8s is the easiest way to consume Kubernetes as it abstracts away much of the complexity of managing the lifecycle of clusters. 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 It's a 100% open source Kubernetes Dashboard and recently it released features like Kubernetes Resource Browser, Cluster Management, etc to easily manage your applications and cluster across multiple clouds/ on-prem clusters like k3s, microk8s, etc. on my team we recently did a quick tour of several options, given that you're on a mac laptop and don't want to use docker desktop. I literally just started diving into Docker without any prior knowledge and currently trying to find out if Docker is a viable solution for me or not. Still working on dynamic nodepools and managed NFS. Doing some research it seems there have been mainly three different approaches to solve this problem: use Dockerfile HEALTHCHECK create a bash infinite loop use the host system cron and docker exec I've been using WSL with Docker Desktop since it became available with WSL 1 a few years ago and now use Docker Desktop with a WSL 2 back-end while I use WSL 2. We did so to be capable of building Docker images outside of Multipass VM, on our Mac. Just be aware of the 'limitations' of running in docker vs using the home assistant OS. The security issue RKE and docker swarm lost, Kubernetes won. microk8s; MicroK8s vs. While they share some similarities, they cater to different Portainer plus microk8s gives you a batteries included solution that is easy to use and manage. Both docker, k8s, and haos, ALL just runs a container. 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. You can run docker/k8s directly within your Ubuntu guest, yes. Most of the things that aren't minikube need to be installed inside of a linux VM, which I didn't think would be so bad but created a lot of struggles for us, partly bc the VMs were then under-resourced so e. Vlans created automatically per tenant in CCR. Posted by u/ngocng - 1 vote and no comments Building Docker images in Multipass VM If you look back into cloud-init config, you may also notice we provided SSH public key. a HA NAS; not tried that. My solution ended up being completely out of band, a private docker registry running in a tiny vm. The CSP you select should fit your operating environment. 04, and running "snap install microk8s --classic". Some examples: pulling data from my old man's WeatherLink via site-to-site tunnel (or any data source, really), push data into Kafka, SingleStore Pipeline reads from Kafka Topic, data is transformed into a It doesnt need docker like kind or k3d and it doesnt add magic like minikube/microk8s to facilitate ease of provisioning a cluster. Proxmox and Kubernetes aren't the same thing, but they fill similar roles in terms of self-hosting. Archived post. The majority aren't using a CLI. Kubernetes setup; tbh not if you use something like microk8s, or my preferred k0s. I tried k3s, alpine, microk8s, ubuntu, k3os, rancher, etc. Drop the dokuwiki files in the document root and you’re done. The official Python community for Reddit! Stay up to date with the latest news, packages, and meta information relating to the Python programming language. All my devs are still using docker but clusters have been containerd for years. Thus the manual hotkey. hey all I want to start learning k8s and I feel like the IT world is all moving towards SaaS/Managed solutions like how cloud providers such as AWS provides EKS and Google provides GKE. In terms of updating- HAOS can update itself. vs Docker on unraid. Even supports auto updates of docker apps. 12 with Docker ( & containerd in MicroK8s). Ansible is quite easy to learn. Efficiency is the same. New comments cannot be posted and votes cannot be cast. Cluster is up and going. k3s vs microk8s vs k0s and thoughts about their future; K3s, minikube or microk8s? Environment for comparing several on-premise Kubernetes distributions (K3s, MicroK8s, KinD, kubeadm) stripped down virtual machines called containers It's not a virtual machine, containers are segmented using the Linux kernel. Microk8s is kubernetes (maybe think of it as a k8s distro?). 2014. Docker is basically chroot, it's not virtualisation. (docker installation variant) they are still have many bugs. It Get the Reddit app Scan this QR code to download the app now. Edit: I think there is no obvious reason to why one must avoid using Microk8s in production. I don't think there's an easy way to run Kubernetes on Mac without VMs. VS and the like now also support user secrets but I can't speak to them. gitinclude file to disallow adding of those files to the repo. Personally- I would recommend starting with Ubuntu, and microk8s. I contacted Canonical to ask their advice about the above, and was told that by default, MicroK8s installs the Calico network driver and Docker images today are just OCI images, pretty much all images are. TLDR: in production use RKE2, in Homeland or development use whatever suits you,for example minikube. Environment variables getting passed through from local, and those same values registered in your CI tool of choice. That easy. Or check it out in the app stores I just installed 2 node cluster via microk8s with single command and it was super easy. run it in debug mode and study kubeadm config files being used under the hood. Its why we see Docker and Docker Swarm used by most PLC vendors that offer containers on I don't see much advantage of docker-compose over just docker run in a shell script for single containers, or even a group of containers that have very little cross interaction and are mostly independent. In this post, we'll explore a comparison of MicroK8s and Docker Desktop through In this article we compare two popular ways to install a local K8s cluster on a Mac - Minikube and Docker desktop Primarily designed to test Kubernetes, Kind (Kubernetes in Docker) helps you run Kubernetes clusters locally and in CI pipelines using Docker containers as "nodes". Very much doubt php and docker run --privileged --rm tonistiigi/binfmt --install amd64. (put it on a separate single node k3s cluster or docker host, docker will use less memory but only k3s can be upgraded to a HA setup) if you want an even Microk8s would be the next step. While they share some similarities, they cater to different use cases and offer distinct features. I would prefer to use Kubernetes instead of Docker Swarm because of its repository activity (Swarm's repository has been rolling tumbleweeds for a while now), its seat above Swarm in the container orchestration race, and because it is the ubiquitous standard currently. My understanding of Docker and its potential applications is very rudimentary and I was hoping for an ELI5 explanation regarding Docker vs. . One for running the backup script. Getting a cluster up and running is as easy as installing Ubuntu server 22. I submitted this as an issue on the MicroK8s GitHub page, but decided to duplicate it here in case anyone has any insights. It is an open source CNCF certified Kubernetes installer that supports highly available multi-node clusters and builds Kubernetes release builds from its source. If your goal is writing software against S3 API in a home environment then minio is a good choice imo. That's why I love dokuwiki, no muss, no fuss, drop shite, start, be done. Boom. No pre-req, no fancy architecture. Background: . In my opinion, the choice to use K8s is personal preference. 19 RKE now works beautifully again, I just had to pin a specific docker-version, which was perfectly documented, I was just too thick-headed to read it and Maybe I can go with using docker compose and swarm (v3 integrates between the two). sandbox specifically. Same resources, etc. For Performance and popularity, Docker wins over Podman. MicroK8s. Or check it out in the app stores power vs ease of use trade off at work docker swarm is simpler. Like minikube, microk8s is limited to a single-node Kubernetes cluster, with the added limitation of only running on Linux and only Before comparing the tools themselves, it’s important to understand why you want a local Kubernetes development solution in the first place. I don't have too much experience with Proxmox, but Kubernetes is fully integrated with container runtimes like Containerd and Docker. You get NAS functionality (file server) with built in docker and VM support. Need Advice Migrating from Docker (with Docker-Compose) to K8s r/Proxmox. You largely have to forego network abstractions with the latter, or use filthy hacks. I tried it and shared my experience, so other trying out microk8s are aware of the unexpected implications that I ran into myself. Or check it out in the app stores MicroK8s is pretty complete: see all the features that you get with the install of 1. I started working on a new Whilst docker and microk8s can cohabit on the same server (for dev purposes) I am seeing that activities in docker can upset microk8s’ accessibility, particularly when docker I can't comment on k0s or k3s, but microk8s ships out of the box with Ubuntu, uses containerd instead of Docker, and ships with an ingress add-on. env files for docker-compose maybe and a . The Proxmox route is more capable but requires more knowledge thus can be harder for some users. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. Please read the rules prior to posting! Mesos, Openvswitch, Microk8s deployed by firecracker, few mikrotik CRS and CCRs. TL;DR good performance is tied to your backend implementation & easy to use is tied to your infrastructure's management complexity. Look into UnRAID or Proxmox to get the best of both worlds. That said, deciding between Podman and Docker depends on various factors, including but not limited to the specific needs and preferences of the user, the complexity and size of the application or system, the level of security required, and the technical expertise of the team. Microk8s also needs VMs and for that it uses Multipass. IIUC, this is similar to what Proxmox is doing (Debian + KVM). On the Mac, filesystem performance when sharing files between docker and host has generally been abysmal, There's all sort of workarounds, which work for some workflows. So if you want containerization, Docker Compose is still available. Never used by me. You can run them with any compatible runtime - if you get something today from Docker Hub, then it is an OCI image. OpenShift is great but it's quite a ride to set up. Also, I assigned a couple Windows hot keys. Additionally, simply the way you manage Proxmox vs Kubernetes is very different. V2 under way If you want to experiment with Kata Containers + Docker (or containerd in Microk8s), just fork & run this script with GitHub CI/CD from repo: KIND would be something much closer to upstream than whatever Docker for Mac/Docker for Windows packages, as would Minikube. 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 Minikube is much better than it was, having Docker support is a big win, and the new docs site looks lovely. I’m actually using ansible to deploy docker hosts and docker containers. I see ansible as a tool to handle low level stuff (bootstrap machines, install basic softwares like docker, traefik etc) then docker is used to deploy apps on these prepared hosts. On Mac you can create k3s clusters in seconds using Docker with k3d. you cant mount a running docker container to the pod but you can load a docker image from any registry. Therefore, it is crucial to There are other container runtimes (e. This means it can take only a few seconds to get a fully working Kubernetes cluster up and running after starting off with a few barebones VPS running Ubuntu by means of apt install microk8s. on Reddit but I am today Get app Get the Reddit app Log In Log in to Reddit. It does give you easy management with options you can just enable for dns and rbac for example but even though This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Learning K8s: managed Kubernetes VS k3s/microk8s . k0sctl allows you to setup, and reset clusters - I use it for my homelab; it's "just" some yaml listing the hosts, plus any extra settings. yml file from the repository and Consider microk8s - when I was transitioning from docker swarm I found microk8s to be most similar to it in its philosophy. Anyone with more knowledge want to chime in? I’ll love to put microk8s or even k3s in LXC for an ultra-lightweight Kube cluster but everything I’ve seen around this makes Get the Reddit app Scan this QR code to download the app now. For immediate I'm using Ubuntu as the OS and KVM as the hypervisor. Also use Docker engine on a Linux VM, rather than Docker desktop on Windows/Mac if you want to explore what's going on. For my raspberry pi cluster, for instance it's: Under the hood, the OS is downloading a Docker image, configuring a container and then starting it for you. Chances are that you’ll find an answer to most of your questions when working with Docker Desktop. There are things you can do though. It's similar to microk8s. lkxg crdj gehkun gzy vpgz upyvbn ndvf ypihd lihd kgzok