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  1. Stackups
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  5. Kustomize vs minikube

Kustomize vs minikube

OverviewComparisonAlternatives

Overview

minikube
minikube
Stacks110
Followers262
Votes3
GitHub Stars31.1K
Forks5.1K
Kustomize
Kustomize
Stacks73
Followers37
Votes0
GitHub Stars11.8K
Forks2.3K

Kustomize vs minikube: What are the differences?

Introduction

In this article, we will discuss the key differences between Kustomize and minikube, two popular tools used in the Kubernetes ecosystem for managing and orchestrating applications.

  1. Installation and Usage: Kustomize is a native part of the Kubernetes project and comes pre-installed with kubectl. It allows developers to customize and manage their Kubernetes application manifests using overlays. On the other hand, minikube is a tool that creates a single-node Kubernetes cluster on a local machine for development and testing purposes. It needs to be installed separately and provides a local environment to develop, deploy, and test applications.

  2. Scalability: Kustomize is designed to efficiently manage large-scale application deployments and allows for the creation of reusable and modular configuration files. It provides a declarative approach to managing Kubernetes resources and simplifies the management of complex application configurations. In contrast, minikube is primarily focused on providing a local development environment and is not designed for large-scale deployments.

  3. Deployment Workflow: Kustomize follows a GitOps-style deployment workflow that allows declarative deployments and follows the Kubernetes best practices. It allows for easy separation of configuration from application code, simplifying the management of different environments. Minikube, on the other hand, is primarily used for local development and testing, providing a way to quickly spin up a local Kubernetes cluster without the need for a full-blown Kubernetes infrastructure.

  4. Supported Environments: Kustomize can be used with any Kubernetes cluster, whether it is a local cluster or a cloud-managed cluster. It integrates well with other Kubernetes tools and provides a standardized way to manage application configurations. Minikube, on the other hand, is specifically designed for local development and testing, providing an isolated local environment. It is not recommended for production deployments and may not support all the features of a production-grade Kubernetes cluster.

  5. Extensibility: Kustomize provides a flexible and extensible framework that allows developers to customize and extend the behavior of the tool. It supports plugins and allows for the creation of custom transformations and generators. Minikube, on the other hand, is focused on providing a simplified local development environment and does not have the same level of extensibility as Kustomize.

  6. Maintenance and Community Support: Kustomize is an official part of the Kubernetes project and is actively maintained and supported by the Kubernetes community. It has a large user base and benefits from ongoing development and improvements. Minikube, although widely used, is not an official part of Kubernetes and is maintained by the open-source community. While it receives community support, the level of ongoing development and improvements may vary compared to Kustomize.

In summary, Kustomize is a tool focused on managing and customizing Kubernetes application configurations, supporting large-scale deployments and following a declarative GitOps-style workflow. Minikube, on the other hand, provides a local Kubernetes development environment for testing and development purposes, with a focus on simplicity and ease of use.

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Detailed Comparison

minikube
minikube
Kustomize
Kustomize

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.

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.

Local Kubernetes; LoadBalancer; Multi-cluster
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
31.1K
GitHub Stars
11.8K
GitHub Forks
5.1K
GitHub Forks
2.3K
Stacks
110
Stacks
73
Followers
262
Followers
37
Votes
3
Votes
0
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
No community feedback yet
Integrations
Windows
Windows
Linux
Linux
macOS
macOS
Kubernetes
Kubernetes
Argo
Argo
Kubestack
Kubestack

What are some alternatives to minikube, 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.

k3s

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.

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.

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