Minikube vs docker desktop
![minikube vs docker desktop minikube vs docker desktop](https://d33wubrfki0l68.cloudfront.net/dd7b0abd857c585b87fdd51b1a50103464c9e059/ad9dc/images/blog/2019-03-28-running-kubernetes-locally-on-linux-with-minikube/module_01_cluster.png)
If you are working in an environment with a tight resource pool or need an even quicker startup time, K3s is definitely a tool you should consider.Īll in all these three tools are doing the job while using different approaches and focusing on different use cases. However for my use cases (mostly playing around with tools that run on K8s) I could fully replace it with kind due to the quicker setup time. You create the cluster, wait a few minutes and you are good to go. I was a long time minikube user as there where simply no alternatives (at least I never heard of one) and to be honest…it does a pretty good job at being a local Kubernetes development environment. Just create/update your configuration and K3s makes sure to keep your deployments up to date. This is especially useful for CI pipelines and IoT devices (both target use cases of K3s). K3s watches for changes and takes care of applying them without any further interaction. It allows you to deploy your Kubernetes manifests and Helm charts by putting them in a specific directory. One feature that stands out is called auto deployment. by using rancher/k3s) which also allows you to easily run several independent instances. I discourage you from running them on your workstation as this leads to some clutter in your local filesystem. The former acts as a manager while the latter is responsible for handling the actual workload. The application is split into the K3s server and the agent. This results in a single binary with a size of around 60 MB. sqlite3 instead of etcd3) they achieved a significant downsizing. By removing dispensable features (legacy, alpha, non-default, in-tree plugins) and using lightweight components (e.g. K3s is a minified version of Kubernetes developed by Rancher Labs. If you want to get to know more have a look at the GoDocs and check out how KUDO uses kind for their integration tests. If you are looking for a way to programmatically create a Kubernetes cluster, kind kindly (you have been for waiting for this, don’t you :P) publishes its Go packages that are used under the hood. With a simple kind load docker-image my-app:latest the image is available for use in my cluster. This saves me a few extra steps of setting up a registry and pushing my image each and every time I want to try out my changes. One feature that I personally enjoy is the ability to load my local images directly into the cluster. By using different names ( -name) kind allows you to create multiple instances in parallel. Executing kind create cluster, playing the waiting game and afterwards you are good to go. This leads to a significantly faster startup speed compared to spawning VM.Ĭreating a cluster is very similar to minikube’s approach.
![minikube vs docker desktop minikube vs docker desktop](https://blog.alexellis.io/content/images/2019/10/sat.jpg)
As the name suggests it moves the cluster into Docker containers. Kind is another Kubernetes SIGs project but is quite different compared to minikube. This is being achieved by minikube’s addon system that helps you integrating things like, Helm, Nvidia GPUs and an image registry with your cluster. With a simple minikube dashboard the application will open up giving you a nice overview of everything that is going on in your cluster. If you are new to Kubernetes the first class support for its dashboard that minikube offers may help you. A list of supported versions can be found here. To specify a Kubernetes version you can use the -kubernetes-version flag. You start the cluster using minikube start, wait a few minutes and your kubectl is ready to go. This also allows you to create multiple instances in parallel.įrom a user perspective minikube is a very beginner friendly tool. Due to the support for a bunch of hypervisors it can be used on all of the major operating systems.
![minikube vs docker desktop minikube vs docker desktop](https://www.bogotobogo.com/DevOps/Docker/images/DockerCheat/docker-lifecycle.png)
It takes the approach of spawning a VM that is essentially a single node K8s cluster. Minikube is a Kubernetes SIGs project and has been started more than three years ago. 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. every developer to have their own local cluster instance running to play around with it, deploy their application or execute tests against applications running in K8s during CI/CD. These days there are a few tools that claim to (partially) replace a fully fledged Kubernetes cluster.