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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Docker Registry
  5. Harbor vs k3s

Harbor vs k3s

OverviewComparisonAlternatives

Overview

Harbor
Harbor
Stacks183
Followers185
Votes11
GitHub Stars26.8K
Forks5.0K
k3s
k3s
Stacks97
Followers252
Votes16

Harbor vs k3s: What are the differences?

Introduction

Harbor and k3s are two popular technologies used in the world of containerization and Kubernetes. While both provide solutions for managing container images and simplifying Kubernetes deployment, they have key differences that set them apart from each other.

  1. Deployment Architecture: Harbor is a self-contained application that needs to be installed and managed separately from Kubernetes. It can be deployed on a dedicated server and integrated with Kubernetes for handling container images. On the other hand, k3s is a lightweight Kubernetes distribution that comes bundled with its own container runtime, making it a more integrated solution for container management.

  2. Scalability: Harbor is designed to be highly scalable, supporting large-scale deployments with a high number of container images and repositories. It provides features like replication and content trust to ensure security and reliability. In contrast, k3s is optimized for lightweight deployments, making it more suitable for smaller-scale environments where resource constraints may be a consideration.

  3. Policy and Access Control: Harbor offers granular access control and policy management features, allowing administrators to define fine-grained permissions for users and teams. It supports role-based access control (RBAC) and provides features like vulnerability scanning and image signing. In comparison, k3s has a more simplified access control model, providing basic RBAC capabilities but with fewer options for policy management.

  4. Registry and Repository Management: Harbor serves as a container registry, providing features like image promotion, replication, and vulnerability scanning. It also includes a user-friendly web interface for managing repositories and images. On the other hand, k3s relies on external container registries, such as Docker Hub or private registries, for image management, and does not provide built-in registry functionalities.

  5. Ease of Deployment and Management: Harbor requires a separate installation and configuration process, which may involve setting up a dedicated server and integrating it with Kubernetes. It offers more flexibility and customization options, but also requires more effort to deploy and manage. In contrast, k3s aims to simplify the deployment and management of Kubernetes by providing a lightweight distribution that can be easily installed and run on resource-constrained environments.

  6. Community and Ecosystem: Harbor is an open-source project with an active community and ecosystem, offering support for extensions and integrations with various tools and platforms. It is widely adopted and has a mature set of features. On the other hand, k3s is a relatively new project that has gained popularity for its lightweight and easy-to-use nature. While it may have a smaller ecosystem compared to Harbor, it benefits from the broader Kubernetes community and ecosystem.

In Summary, Harbor and k3s differ in terms of their deployment architecture, scalability, policy and access control capabilities, registry and repository management, ease of deployment and management, as well as the size and maturity of their respective communities and ecosystems.

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Detailed Comparison

Harbor
Harbor
k3s
k3s

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

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.

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
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support
Statistics
GitHub Stars
26.8K
GitHub Stars
-
GitHub Forks
5.0K
GitHub Forks
-
Stacks
183
Stacks
97
Followers
185
Followers
252
Votes
11
Votes
16
Pros & Cons
Pros
  • 4
    Good on-premises container registry
  • 1
    Supports LDAP/Active Directory
  • 1
    Vulnerability Scanner
  • 1
    Nice UI
  • 1
    Container Replication
Pros
  • 6
    Lightweight
  • 4
    Easy
  • 2
    Scale Services
  • 2
    Open Source
  • 2
    Replication Controller
Integrations
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm
Kubernetes
Kubernetes
SQLite
SQLite

What are some alternatives to Harbor, k3s?

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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