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  5. k3s vs minikube

k3s vs minikube

OverviewComparisonAlternatives

Overview

minikube
minikube
Stacks110
Followers262
Votes3
GitHub Stars31.1K
Forks5.1K
k3s
k3s
Stacks97
Followers252
Votes16

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. 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.

  1. Installation Complexity: K3s is designed to be lightweight and easy to install compared to Minikube. K3s requires minimal dependencies and can be set up with a single command, making it ideal for small-scale deployments or development environments. On the other hand, Minikube has more complex installation requirements and may require additional configuration steps, making it better suited for larger-scale or production environments.

  2. Resource Utilization: K3s is optimized for resource-constrained environments, such as edge devices or low-powered machines. It consumes less memory and CPU, allowing it to run efficiently on devices with limited resources. Minikube, on the other hand, requires more resources to run smoothly and may not be as suitable for devices with lower specifications.

  3. Cluster Type: K3s is primarily designed for single-node clusters, making it a good choice for small-scale deployments or for running Kubernetes on a single machine. It provides a lightweight and simplified version of Kubernetes that is easier to manage and maintain. Minikube, on the other hand, is more focused on providing a full-fledged Kubernetes cluster on a local machine, allowing developers to test their applications in an environment that closely resembles a production cluster.

  4. Storage Options: K3s offers a wider range of storage options compared to Minikube. It supports various storage providers out of the box, including local storage, NFS, cloud storage, and more. This flexibility allows users to choose the most suitable storage solution for their needs. Minikube, on the other hand, has limited storage options and may require additional configuration to use external storage providers.

  5. Networking Configuration: K3s simplifies networking configuration by providing built-in support for popular networking plugins like Flannel and Calico. This makes it easier to set up and manage network connectivity within the cluster. Minikube, on the other hand, requires manual configuration of networking plugins, which can be more time-consuming and complex.

  6. Community Support: Minikube has a larger and more established community compared to K3s. It has been around for a longer time and has a larger user base, which means that there are more resources, documentation, and community support available. K3s, being a relatively new project, might have a smaller community and fewer resources, although it is gaining popularity rapidly.

In summary, K3s offers a lightweight and simplified version of Kubernetes that is easier to install, consumes fewer resources, and is ideal for single-node clusters. On the other hand, Minikube provides a full-fledged Kubernetes cluster on a local machine, with more storage options and a larger community support. The choice between the two depends on the specific requirements and scale of the deployment.

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Detailed Comparison

minikube
minikube
k3s
k3s

It implements a local Kubernetes cluster on macOS, Linux, and Windows. Its goal is to be the tool for local Kubernetes application development and to support all Kubernetes features that fit.

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Local Kubernetes; LoadBalancer; Multi-cluster
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
GitHub Stars
31.1K
GitHub Stars
-
GitHub Forks
5.1K
GitHub Forks
-
Stacks
110
Stacks
97
Followers
262
Followers
252
Votes
3
Votes
16
Pros & Cons
Pros
  • 1
    Let's me test k8s config locally
  • 1
    Easy setup
  • 1
    Can use same yaml config I'll use for prod deployment
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Replication Controller
  • 2
    Scale Services
  • 2
    Open Source
Integrations
Windows
Windows
Linux
Linux
macOS
macOS
Kubernetes
Kubernetes
SQLite
SQLite

What are some alternatives to minikube, k3s?

Kubernetes

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Portainer

Portainer

It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.

Codefresh

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

Flocker

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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