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

Harbor vs Octant

OverviewComparisonAlternatives

Overview

Harbor
Harbor
Stacks182
Followers185
Votes11
GitHub Stars26.8K
Forks5.0K
Octant
Octant
Stacks11
Followers45
Votes2

Harbor vs Octant: What are the differences?

Introduction: Harbor and Octant are two popular tools used in the Kubernetes ecosystem for different purposes. It is important to understand the key differences between them to choose the right tool for specific tasks.

  1. Purpose: Harbor is an open-source container image registry that allows users to store, sign, and distribute container images. On the other hand, Octant is a tool for developers to understand how applications are running on a Kubernetes cluster. While Harbor focuses on managing container images, Octant provides insights into the overall Kubernetes environment.

  2. Functionality: Harbor primarily deals with container image management, including features like vulnerability scanning, image replication, and access control. In contrast, Octant provides a graphical user interface to visualize and troubleshoot Kubernetes clusters, offering features such as pod and node details, logs, and events.

  3. Userbase: Harbor is more commonly used by DevOps teams, developers, and organizations that require a secure and scalable container registry solution. Octant, on the other hand, is popular among developers and Kubernetes administrators who need a user-friendly interface to monitor and debug applications running on Kubernetes.

  4. Deployment: Harbor is typically deployed as a dedicated service within a Kubernetes cluster, offering secure storage and distribution of container images. Octant, in contrast, is a standalone application that can be used to interact with any Kubernetes cluster, providing a convenient way to manage and monitor workloads.

  5. Integration: Harbor can be integrated with various CI/CD pipelines, container orchestration tools, and Kubernetes platforms to streamline the development and deployment process. On the other hand, Octant integrates seamlessly with Kubernetes clusters, allowing users to interact with resources directly from the graphical interface.

In Summary, understanding the key differences between Harbor and Octant is crucial for making informed decisions when it comes to container image management and Kubernetes cluster monitoring.

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Detailed Comparison

Harbor
Harbor
Octant
Octant

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

A tool for developers to understand how applications run on a Kubernetes cluster. It aims to be part of the developer's toolkit for gaining insight and approaching complexity found in Kubernetes.

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
Resource Viewer; Summary View; Port Forward; Log Stream; Label Filter; Cluster Navigation; Plugin System
Statistics
GitHub Stars
26.8K
GitHub Stars
-
GitHub Forks
5.0K
GitHub Forks
-
Stacks
182
Stacks
11
Followers
185
Followers
45
Votes
11
Votes
2
Pros & Cons
Pros
  • 4
    Good on-premises container registry
  • 1
    Support multiple authentication methods
  • 1
    Supports OIDC
  • 1
    Supports LDAP/Active Directory
  • 1
    Vulnerability Scanner
Pros
  • 1
    Open Source
  • 1
    Web-based and on compatible with common OS
Integrations
Docker
Docker
Kubernetes
Kubernetes
Helm
Helm
gRPC
gRPC
Kubernetes
Kubernetes
Linux
Linux
Windows
Windows
macOS
macOS

What are some alternatives to Harbor, Octant?

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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