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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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Pros of k3s
Pros of minikube
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Replication Controller
  • 2
    Scale Services
  • 2
    Open Source
  • 1
    Let's me test k8s config locally
  • 1
    Can use same yaml config I'll use for prod deployment
  • 1
    Easy setup

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What is k3s?

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.

What is minikube?

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.

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What companies use k3s?
What companies use minikube?
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What are some alternatives to k3s and minikube?
Kind
It is a tool for running local Kubernetes clusters using Docker container “nodes”. It was primarily designed for testing Kubernetes itself, but may be used for local development or CI.
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 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.
Docker
The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
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.
See all alternatives