Sold by: SilverLining.Cloud GmbH
Deployed on AWS
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This Amazon Machine Image (AMI) provides a preconfigured Puppeteer environment on Ubuntu with a graphical user interface (GUI). It includes sample code for executing Puppeteer scripts on preinstalled Chrome using Node.js. Access the GUI via RDP or VNC.
Overview
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Puppeteer on Ubuntu with GUI
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GUI Login Credentials
Video
Connect to Your Ubuntu instance with RDP
Deploy a Preinstalled Puppeteer environment to Automate Chrome
Running it on an EC2 instance is the easiest way to get started with Puppeteer in the cloud. This AMI offers a reliable, ready-to-use environment for test automation, web scraping, routine web task automation, and application monitoring.
Easily connect to the virtual desktop using RDP or VNC. Use the EC2 instance's public IP as the hostname and the instance ID as the initial password for both RDP and VNC. Log in with the username "ubuntu".
For seamless development and execution of Puppeteer scripts, the virtual machine comes with Visual Studio Code preinstalled. You can edit scripts directly in VS Code or transfer your files remotely using tools like WinSCP.
This AMI is designed to be minimal, containing only the necessary installations required to run Puppeteer on a Graphical User Interface (GUI).
Key Features:
- Ubuntu-based with a lightweight Xfce GUI for smooth performance.
- Connect via RDP or VNC to interact with the GUI remotely.
- Self-configures at launch: Use the EC2 instance ID as the initial password for RDP/VNC.
- Automate Preinstalled Chrome Browser
- Preinstalled Visual Studio Code with sample Puppeteer scripts and language bindings for Python, Node.js, and Java.
Watch our video tutorials to get started with this image:
- Connect to Ubuntu with GUI via RDP from Windows
- Connect to Ubuntu with GUI via RDP from Mac
- Transfer files between your PC and Ubuntu with GUI
- Transfer files between your Mac and Ubuntu with GUI
For further assistance, contact our expert cloud team via email at support@silverlining.cloud or through live chat on our website . Detailed documentation for this image is available here: https://www.silverlining.cloud/docs/aws/puppeteer-ubuntu-gui .
Deploy Your Own Puppeteer Server in the Cloud Now!
Highlights
- One-click deployment of Ubuntu with a graphical user interface (GUI) to run Puppeteer scripts in both headless and non-headless mode. Develop and execute Puppeteer scripts with Chrome.
- Easily access the Xfce desktop environment via RDP or VNC. Get started instantly with preinstalled Visual Studio Code, sample Puppeteer scripts, and language bindings for Node.js.
- Configured and supported by the SilverLining.Cloud team. Contact us via live chat on our website or email us at support@silverlining.cloud
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04 LTS
Deployed on AWS
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Pricing
Free trial
Try this product free for 7 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.
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 covers 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.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
t2.medium Recommended | $0.015 |
t3.micro | $0.021 |
t2.micro | $0.021 |
t2.2xlarge | $0.027 |
c6in.8xlarge | $0.021 |
m6a.8xlarge | $0.021 |
m6in.24xlarge | $0.021 |
c6a.24xlarge | $0.021 |
m6a.large | $0.021 |
c5n.4xlarge | $0.021 |
Dimensions summary
You pay by the hour for compute, with no upfront costs or long-term contracts. Charges appear as line items on your AWS invoice. Pricing scales entirely by the EC2 instance type you launch. Each dimension maps to one instance size, from small shared instances like t2.nano up to memory, compute, GPU, and bare-metal options like p5.48xlarge or u-24tb1.112xlarge. Larger instances with more CPU, memory, or accelerators bill at a higher hourly rate. You choose the instance that fits your workload, and the software runs on top of that hourly compute charge.
Top-of-mind questions for buyers
You get a ready-to-use virtual machine running Ubuntu with an Xfce GUI desktop and Puppeteer pre-installed. Puppeteer controls Chrome and Chromium for rendering and performance testing. The machine deploys into your own AWS account in under five minutes, accessible via RDP, VNC, or SSH.
The software meters per running hour, so a fully stopped instance stops accruing hourly software charges. Underlying AWS storage fees may still apply while the volume exists. You pay only for the compute hours the instance actually runs. There are no upfront costs or long-term contracts.
Each dimension maps to one EC2 instance size, so pick the one matching your CPU, memory, or GPU needs. The vendor recommends at least 4 GB of memory to avoid the GUI freezing. Larger instances bill at higher hourly rates, so match the size to your workload.
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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
Fixed a critical out-of-bounds write vulnerability (CVE-2026-32746) in the telnetd LINEMODE SLC suboption handler by adding buffer size validation.
Additional details
Usage instructions
Click here for detailed usage instructions with tutorials, screenshots, and troubleshooting tips.
Default Credentials for GUI connection:
- Username: ubuntu
- Computer Name: Public IPv4 address of your EC2 instance (e.g., 35.173.131.168)
- Password: Instance ID of your EC2 instance (e.g., i-0ed22c98429479e1c)
Connect with RDP (Remote Desktop Protocol) to run the sample code:
- Launch your RDP client software on your local machine.
- Connect using the public IP address of your instance, on port 3389.
- When prompted, enter the username (ubuntu) and the password (your Instance ID). When connecting with Windows Remote Desktop Connection, go to "More Options" and select "Allow me to save credentials." This is the only way the app will prompt you to enter a password.
- Open Visual Studio Code from the Applications panel.
- Select and open the appropriate file and execute the script by clicking Run.
Connect with VNC (Virtual Network Computing) to run the sample code::
- Launch your VNC client on your local machine.
- Connect using the public IP address of your instance, on port 5901.
- When prompted, enter the password (your Instance ID).
- Open Visual Studio Code from the Applications panel.
- Select and open the appropriate file and execute the script by clicking Run.
We keep software installations to a minimum, and no sensitive data is stored on the virtual machine instance. If you encounter any issues or have additional questions, please refer to our documentation or reach out to our support team.
Resources
Vendor resources
Support
Vendor support
If you need help with setup, configuration, integration, troubleshooting, or have a feature request, contact us at support@silverlining.cloud or chat live with our experts on our website.
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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