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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. Harbor vs minikube

Harbor vs minikube

OverviewComparisonAlternatives

Overview

minikube
minikube
Stacks110
Followers262
Votes3
GitHub Stars31.1K
Forks5.1K
Harbor
Harbor
Stacks183
Followers185
Votes11
GitHub Stars26.8K
Forks5.0K

Harbor vs minikube: What are the differences?

# Introduction

1. **Deployment Environment**: The key difference between Harbor and minikube is that Harbor is a container registry that allows users to store and distribute Docker images, while minikube is a tool that sets up a single-node Kubernetes cluster locally for development purposes.
2. **Scalability**: Harbor is designed for larger scale usage in production environments and offers features like replication, which allows for multiple instances of Harbor to sync images across different locations. On the other hand, minikube is meant for small-scale development and testing, with a focus on ease of setup and usage on a local machine without the need for a robust infrastructure.
3. **Security Features**: Harbor provides enhanced security features such as vulnerability scanning, role-based access control, and Notary support for image signing and verification. In contrast, minikube does not come with built-in security features tailored for production-grade environments, as it is primarily used for local development.
4. **Community Support**: Harbor is a CNCF (Cloud Native Computing Foundation) project with a large community of contributors and users, which leads to frequent updates, bug fixes, and improvements. Minikube, while supported by the Kubernetes community, has a smaller user base as it is targeted towards developers who need a lightweight Kubernetes environment for testing and experimentation.
5. **Persistent Data Storage**: Harbor allows users to manage storage for images and metadata, supporting various backend storage options like S3, filesystem, and database. Minikube, being a lightweight tool, does not have built-in features for managing persistent data storage for containers and primarily focuses on providing a quick and easy way to run Kubernetes clusters on a local machine.
6. **Networking Capabilities**: Harbor provides features for managing network policies, access control, and ingress/egress traffic for Docker images and their distribution, making it suitable for complex networking environments in production. Minikube, on the other hand, simplifies networking by providing a local cluster with limited networking capabilities for development and testing purposes.

In Summary, Harbor is a production-grade container registry with scalability, security, and community support features, while minikube is a lightweight tool for local Kubernetes cluster setup primarily focused on development and testing. 

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Detailed Comparison

minikube
minikube
Harbor
Harbor

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.

Harbor is an open source cloud native registry that stores, signs, and scans container images for vulnerabilities. Harbor solves common challenges by delivering trust, compliance, performance, and interoperability. It fills a gap for organ

Local Kubernetes; LoadBalancer; Multi-cluster
Multi-tenant content signing and validation;Image replication between instances;Extensible API and graphical UI;Security and vulnerability analysis;Identity integration and role-based access control;Internationalization
Statistics
GitHub Stars
31.1K
GitHub Stars
26.8K
GitHub Forks
5.1K
GitHub Forks
5.0K
Stacks
110
Stacks
183
Followers
262
Followers
185
Votes
3
Votes
11
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
  • 4
    Good on-premises container registry
  • 1
    Support multiple authentication methods
  • 1
    Supports OIDC
  • 1
    Supports LDAP/Active Directory
  • 1
    Vulnerability Scanner
Integrations
Windows
Windows
Linux
Linux
macOS
macOS
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm

What are some alternatives to minikube, Harbor?

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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