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    Ubuntu 22.04 Desktop and Analytics Workbench

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    Sold by: netCUBED 
    Free Trial
    Securely access Jupyter notebooks, RStudio Server or a Terminal session from your browser. For additional flexibility, connect to a full-featured Ubuntu 22.04 Desktop environment through your browser or a native client. Ships with the latest versions of Google Chrome, Visual Studio Code, Docker.
    Listing Thumbnail

    Ubuntu 22.04 Desktop and Analytics Workbench

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    Sold by: netCUBED 

    Overview

    Securely access Jupyter notebooks, RStudio Server or a Terminal session from your browser. For additional flexibility, connect to a full-featured Ubuntu 22.04 Desktop environment through your browser or a native Remote Desktop client. This image ships with the latest versions of Google Chrome, Visual Studio Code, Docker and many more. Screenshots can be found at http://netcubed-ami.s3-website-us-east-1.amazonaws.com/xworkspace/v1.6.0/ .

    The workspace is ideal for users who require the power of EC2 instances while using a familiar graphical user interface or their preferred IDE. it provides the perfect starting point for any kind of software development, HCP workloads, data science work or use as a bastion host for your VPC.

    No client software needs to be installed to access the remote desktop. All that is required is a modern browser (including Internet Explorer 11) to access the desktop. Additionally, Jupyter, RStudio Server and a Terminal session can be opened through the browser.

    The browser interface as well as the remote desktop protocol support copy and paste between the virtual desktop environment and the client. Files can be uploaded using drag and drop. The environment is multi-user capable and supports a large number of concurrent users on appropriately sized instances.

    This product is also available as Ubuntu 20.04 with Long Term Support at https://aws.amazon.com/marketplace/pp/B07LBG6YGB .

    Highlights

    • ACCESS VIA BROWSER: Launch and access Jupyter, RStudio Server, Terminal and Remote Desktop via web interface.
    • RDP SUPPORT: access workspace on the go through the remote desktop protocol.
    • ALWAYS ENCRYPTED: All web endpoints are proxied through a HTTPS endpoint with strong encryption.

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 22.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (m5.large) in the US East (N. Virginia) Region. View pricing details

    $0.136/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Free trial

    Try this product at no cost for 5 days according to the free trial terms set by the vendor. Usage-based pricing is in effect for usage beyond the free trial terms. Your free trial gets automatically converted to a paid subscription when the trial ends, but may be canceled any time before that.

    Ubuntu 22.04 Desktop and Analytics Workbench

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    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time. Alternatively, you can pay upfront for a contract, which typically covering your anticipated usage for the contract duration. Any usage beyond contract will incur additional usage-based costs.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (185)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t3.small
    $0.02
    $0.021
    $0.041
    t3.medium
    $0.03
    $0.042
    $0.072
    t3.large
    $0.04
    $0.083
    $0.123
    t3.xlarge
    $0.05
    $0.166
    $0.216
    t3.2xlarge
    $0.06
    $0.333
    $0.393
    t3a.small
    $0.02
    $0.019
    $0.039
    t3a.medium
    $0.03
    $0.038
    $0.068
    t3a.large
    $0.04
    $0.075
    $0.115
    t3a.xlarge
    $0.05
    $0.15
    $0.20
    t3a.2xlarge
    $0.06
    $0.301
    $0.361

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp3) volumes
    $0.08/per GB/month of provisioned storage

    Vendor refund policy

    We do not currently support refunds, but you can cancel at any time.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    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

    Updated base operating system to Ubuntu 22.04 from 21.04.

    Additional details

    Usage instructions

    Launch the image on any of the available instance types. Consider increasing the size of the root EBS volume. Make sure that the attached security group allows traffic on port 80 and 443 if you plan to access the server via the browser interface, and port 3389 if you plan to use the Remote Desktop Protocol. Allow a couple of minutes for the instance to boot. The web interface can be accessed through your browser on the public IP (or private IP for enterprise VPCs) of the EC2 instance (e.g. https://18.245.21.43  where 18.245.21.43 is the public IP address of the instance).

    Most browsers will display a certificate warning. This warning is letting you know that the certificate was self-signed instead of signed by a trusted Certificate Authority. You can safely ignore the warning as it doesn't impact the security of the connection by clicking on "Continue to this webpage" (Internet Explorer) or "Advanced" and then "Proceed to website" (Chrome).

    The default user is ubuntu and the default password is the instance ID. Alternatively, you can reach your desktop environment through a Remote Desktop Client (such as the Microsoft Remote Desktop Application, preinstalled on Windows and available on the Apple App Store for MacOS). The hostname is simply the public IP (or private IP for enterprise VPCs). Make sure you enter the username and password before you connect. On Windows, click "Show Options" and fill in the username and password.

    Support

    Vendor support

    For paid support, email sales@netcubed.de  for further information. Free support is provided via support@netcubed.de . For free support, we do not provide a guaranteed response time, however we do our best to respond to questions within 24 hours Monday through Friday. support@netcubed.de 

    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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    Customer reviews

    Ratings and reviews

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    2 AWS reviews
    Jallie

    Friendly AMI for bioinformaticians

    Reviewed on Mar 23, 2020
    Purchase verified by AWS

    This AMI provides a quite pain free environment for an analyst in the fields like bioinformatics, with the most popular RStudio and Jupiter Notebook pre-installed. Data and results are protected by password. It's a good solution for sharing analytic environment between a small group of co-workers working on the same internal projects.

    Michael

    Major Timesaver

    Reviewed on Mar 14, 2020
    Purchase verified by AWS

    I have been using this image for about a year now, in various versions. Their support is first rate, and friendly. It saved me a lot of time from having to configure and manage aspects of my system, such as the graphical interface, that prior to this, were minor projects on their own. It gives me everything I need to do machine learning, as well. But it's also my daily desktop. Yes,you might be able to do this in your own, but why, when they've covered all the bases for you.

    View all reviews