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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

With just a few clicks, you can effortlessly deploy multiple ESB instances on the Integration Platform. You can also monitor and troubleshoot both singular instances and entire clusters through a centralized dashboard. The ESB instances run in lightweight Docker containers, enhancing resource efficiency and responsiveness compared to traditional virtual machines. Leveraging the robust Kubernetes framework, the platform quickly identifies and restarts any failed instances within seconds. You have the flexibility to scale computing power by adding or removing physical or virtual machines without affecting existing components. The IPS dashboard allows for streamlined management of ESB clusters, projects, configurations, and user permissions, alongside monitoring statistics and debugging instances. Additionally, you can integrate project-specific dashboards to effectively oversee and manage the platform and individual projects from one cohesive interface. This unified approach not only simplifies management but also enhances overall operational efficiency.

Description

JupyterHub allows users to establish a multi-user environment that can spawn, manage, and proxy several instances of the individual Jupyter notebook server. Developed by Project Jupyter, JupyterHub is designed to cater to numerous users simultaneously. This platform can provide notebook servers for a variety of purposes, including educational environments for students, corporate data science teams, collaborative scientific research, or groups utilizing high-performance computing resources. It is important to note that JupyterHub does not officially support Windows operating systems. While it might be possible to run JupyterHub on Windows by utilizing compatible Spawners and Authenticators, the default configurations are not designed for this platform. Furthermore, any bugs reported on Windows will not be addressed, and the testing framework does not operate on Windows systems. Although minor patches to resolve basic Windows compatibility issues may be considered, they are rare. For users on Windows, it is advisable to run JupyterHub within a Docker container or a Linux virtual machine to ensure optimal performance and compatibility. This approach not only enhances functionality but also simplifies the installation process for Windows users.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
JetBrains DataSpell
Jupyter Notebook
JupyterLab
Kubernetes
NeevCloud
OpenHexa
Quantinuum Nexus
Timbr.ai
Train in Data
UltraESB
Vast.ai
Wizata

Integrations

Azure Marketplace
Cleanlab
Coiled
DataOps.live
Docker
JetBrains DataSpell
Jupyter Notebook
JupyterLab
Kubernetes
NeevCloud
OpenHexa
Quantinuum Nexus
Timbr.ai
Train in Data
UltraESB
Vast.ai
Wizata

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

AdroitLogic

Founded

2010

Country

Sri Lanka

Website

www.adroitlogic.com/products/ips/

Vendor Details

Company Name

JupyterHub

Founded

2014

Website

github.com/jupyterhub/jupyterhub

Product Features

Enterprise Service Bus (ESB)

Data Source Connectors
Electronic Data Interchange (EDI)
Enterprise Application Integration
Enterprise Integration Patterns (EIP)
Integrations Management
Messaging

Product Features

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