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  5. Kustomize vs k3s

Kustomize vs k3s

OverviewComparisonAlternatives

Overview

k3s
k3s
Stacks97
Followers252
Votes16
Kustomize
Kustomize
Stacks73
Followers37
Votes0
GitHub Stars11.8K
Forks2.3K

Kustomize vs k3s: What are the differences?

Introduction Kustomize and k3s are two popular tools utilized in the realm of Kubernetes. While both tools have similarities, there are significant differences that set them apart. In this markdown code, we will explore and highlight six key differences between Kustomize and k3s.

  1. Deployment Approach: Kustomize primarily focuses on the management and customization of Kubernetes resource configurations. It allows users to modify and manage YAML files for efficient deployment and update of applications. On the other hand, k3s is a lightweight Kubernetes distribution that simplifies the deployment and management of Kubernetes clusters, incorporating numerous components required for running Kubernetes.

  2. Resource Management: Kustomize works by leveraging base and overlay configurations. The base configuration defines the common resources that are shared among different deployments, while the overlay configuration specifies the modifications made for specific environments or use cases. In contrast, k3s provides a simplified way of managing resources by abstracting away the complexity of dealing with individual YAML files, allowing users to interact with Kubernetes resources more directly.

  3. Installation Requirements: Kustomize is a standalone tool that can be used with any Kubernetes installation, including k3s. It requires minimal setup and can be integrated into existing workflows seamlessly. Conversely, k3s is a complete Kubernetes distribution that can be installed and utilized directly without the need for additional Kubernetes components. This lightweight nature of k3s makes it particularly suitable for constrained and resource-constrained environments.

  4. Footprint and Performance: Kustomize operates at the resource configuration level and does not impact the runtime performance of Kubernetes clusters. It allows for efficient management of resources without introducing any additional overhead. In contrast, k3s is designed to be a significantly lightweight Kubernetes distribution, utilizing fewer resources and having a smaller footprint compared to the standard Kubernetes setup. This lightweight nature translates to improved performance and faster boot times.

  5. Cluster Provisioning: While Kustomize mainly focuses on resource configuration and management, it does not offer built-in cluster provisioning capabilities. Users need to have a pre-existing Kubernetes cluster in order to utilize Kustomize effectively. On the other hand, k3s simplifies the cluster provisioning process by automatically setting up a fully functional Kubernetes cluster with minimal effort. This feature makes k3s an ideal solution for developers and users looking for a quick and hassle-free way to set up Kubernetes environments.

  6. Community and Adoption: Kustomize is an official subproject of the Kubernetes ecosystem, supported and maintained by the Kubernetes community. It has gained significant traction and is widely adopted among Kubernetes users. Conversely, k3s, although a popular tool, is not an official Kubernetes project. It is developed and maintained by Rancher Labs, an independent organization specializing in container management platforms.

In summary, Kustomize focuses on resource customization and management at the configuration level and requires an existing Kubernetes cluster, while k3s simplifies the deployment and management of Kubernetes clusters, providing a lightweight and resource-efficient solution with built-in cluster provisioning capabilities.

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Detailed Comparison

k3s
k3s
Kustomize
Kustomize

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.

It introduces a template-free way to customize application configuration that simplifies the use of off-the-shelf applications. Now, built into kubectl as apply -k.

ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Purely declarative approach to configuration customization; Natively built into kubectl; Manage an arbitrary number of distinctly customized Kubernetes configurations; Available as a standalone binary for extension and integration into other services; Every artifact that kustomize uses is plain YAML and can be validated and processed as such
Statistics
GitHub Stars
-
GitHub Stars
11.8K
GitHub Forks
-
GitHub Forks
2.3K
Stacks
97
Stacks
73
Followers
252
Followers
37
Votes
16
Votes
0
Pros & Cons
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
No community feedback yet
Integrations
Kubernetes
Kubernetes
SQLite
SQLite
Kubernetes
Kubernetes
Argo
Argo
Kubestack
Kubestack

What are some alternatives to k3s, Kustomize?

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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