Overview
This is a cloud-native JupyterHub runtime on the Websoft9 DevOps Platform. It is always up-to-date, secure, and ready to use right out of the box with business support from Websoft9.
JupyterHub is a multi-user version of the notebook designed for companies, classrooms and research labs.
Websoft9 is a lightweight, self-hosting PaaS that allows you to deploy multiple applications on your own cloud infrastructure. It employs a GitOps approach and includes an integrated app store that supports one-click deployment of over 200 template applications, as well as the ability to deploy custom applications. Users have complete autonomy, ensuring that applications can be easily configured and continuously deployed even after they are live. Additionally, the web-based interface allows users to effortlessly perform tasks such as domain binding, HTTPS setup, access control, and status monitoring.
Included Components
JupyterHub 5.0/latest , Docker, Websoft9 v2.1.11
Trademark Statement
"Jupyter" and the Jupyter logos are trademarks or registered trademarks of LF Charities, which is not affiliated with, and does not endorse, this product.
Use Cases
Notebook Narratives, JupyterHub Narratives, Building blocks, Data Science, Scientific Computing, Education, Enterprise data science
Ready-to-use related applications
This product enables users to deploy additional applications related to JupyterHub with a one-click, including SuperSet, Python runtime, Redash, Metabase, code-server and others you may need.
EC2 requirements
CPU no less than 2 core, Memory no less than 4G
Highlights
- Docker-based, easy to deploy and upgrade
- One-click deployment of over 200 template applications from the console
- Control panel for installing and managing multiple applications on a single instance
Details
Typical total price
$0.101/hour
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
|---|---|---|---|
t2.nano | $0.00 | $0.006 | $0.006 |
t2.micro AWS Free Tier | $0.039 | $0.012 | $0.051 |
t2.small | $0.039 | $0.023 | $0.062 |
t2.medium Recommended | $0.055 | $0.046 | $0.101 |
t2.large | $0.055 | $0.093 | $0.148 |
t2.xlarge | $0.078 | $0.186 | $0.264 |
t2.2xlarge | $0.11 | $0.371 | $0.481 |
t3.micro AWS Free Tier | $0.055 | $0.01 | $0.065 |
t3.small | $0.055 | $0.021 | $0.076 |
t3.medium | $0.055 | $0.042 | $0.097 |
Additional AWS infrastructure costs
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
Vendor refund policy
Annual Subscriptions: Refunds are allowed if you are canceling a subscription to purchase a new subscription from Websoft9 at the same or higher rate. Hourly Subscriptions: We do not currently support refunds, but you can cancel at any time.
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Jupyterhub running at Websoft9 Console
Additional details
Usage instructions
Once the instance is running, enter the http://Public DNS:9000 provided by AWS into your browser. You will then see the Websoft9 Console.
And refer to the following steps to get started:
- Use SSH to connect your AWS EC2 by user
ubuntu - Run command 'sudo usermod -aG docker ubuntu && sudo passwd ubuntu' to set password and permisson for this user
- Use your EC2 username 'ubuntu' and password to log in Websoft9 Console.
- Go to the "App Store" in the Websoft9 Console and install Jupyterhub with a one-click.
- Once installation is complete, go to "My Apps" to get the port, access url and credentials of Jupyterhub.
Resources
Vendor resources
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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