kubernetes-deploy vs minikube

Overview

kubernetes-deploy

Stacks11

Followers61

Votes0

minikube

Stacks110

Followers262

Votes3

GitHub Stars31.1K

Forks5.1K

kubernetes-deploy vs minikube: What are the differences?

Installation: Kubernetes-deploy is a tool used for deploying applications on Kubernetes clusters, while Minikube is a lightweight Kubernetes implementation that runs a single-node cluster inside a VM.
Purpose: The primary purpose of kubernetes-deploy is for deploying applications to Kubernetes clusters, whereas Minikube is intended for local development and testing of Kubernetes applications.
Scalability: Kubernetes-deploy is suitable for managing deployments of applications across large-scale production Kubernetes clusters, while Minikube is limited to running a single-node cluster locally for development purposes, which may not be suitable for large-scale applications.
Resource Requirements: Kubernetes-deploy requires a Kubernetes cluster to be already set up and running, whereas Minikube only requires minimal system resources to run a local Kubernetes cluster on a developer's machine.
Network Configuration: Kubernetes-deploy operates within the network configurations of an existing Kubernetes cluster, while Minikube creates a network configuration specific to the local development environment, isolating it from external production setups.
Usage Complexity: Kubernetes-deploy is generally used by DevOps teams or system administrators with experience in managing production Kubernetes clusters, while Minikube is user-friendly and can be easily used by developers for local Kubernetes application testing.

In Summary, Kubernetes-deploy is suited for deploying applications on large-scale production Kubernetes clusters, while Minikube is better for local development and testing of Kubernetes applications on a smaller scale.

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Detailed Comparison

kubernetes-deploy	minikube
kubernetes-deploy is a command line tool that helps you ship changes to a Kubernetes namespace and understand the result. At Shopify, we use it within our much-beloved, open-source Shipit deployment app.	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.
-	Local Kubernetes; LoadBalancer; Multi-cluster
Statistics
GitHub Stars -	GitHub Stars 31.1K
GitHub Forks -	GitHub Forks 5.1K
Stacks 11	Stacks 110
Followers 61	Followers 262
Votes 0	Votes 3
Pros & Cons
No community feedback yet	Pros 1 Let's me test k8s config locally 1 Easy setup 1 Can use same yaml config I'll use for prod deployment
Integrations
Kubernetes Ruby	Windows Linux macOS

What are some alternatives to kubernetes-deploy, minikube?

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 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

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

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 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

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

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

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

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 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.

Related Comparisons

kubernetes-deploy vs minikube: What are the differences?

Installation: Kubernetes-deploy is a tool used for deploying applications on Kubernetes clusters, while Minikube is a lightweight Kubernetes implementation that runs a single-node cluster inside a VM.
Purpose: The primary purpose of kubernetes-deploy is for deploying applications to Kubernetes clusters, whereas Minikube is intended for local development and testing of Kubernetes applications.
Scalability: Kubernetes-deploy is suitable for managing deployments of applications across large-scale production Kubernetes clusters, while Minikube is limited to running a single-node cluster locally for development purposes, which may not be suitable for large-scale applications.
Resource Requirements: Kubernetes-deploy requires a Kubernetes cluster to be already set up and running, whereas Minikube only requires minimal system resources to run a local Kubernetes cluster on a developer's machine.
Network Configuration: Kubernetes-deploy operates within the network configurations of an existing Kubernetes cluster, while Minikube creates a network configuration specific to the local development environment, isolating it from external production setups.
Usage Complexity: Kubernetes-deploy is generally used by DevOps teams or system administrators with experience in managing production Kubernetes clusters, while Minikube is user-friendly and can be easily used by developers for local Kubernetes application testing.

kubernetes-deploy vs minikube

Overview