This Amazon Machine Image (AMI) provides a preconfigured Playwright environment on Ubuntu with a graphical user interface (GUI). It includes sample code for executing Playwright scripts on preinstalled Chromium, Firefox, and Webkit using Python, Node.js, and Java. Access the GUI via RDP or VNC.
Deploy a Preinstalled Playwright environment to Automate Chromium, Firefox, and Webkit
Running it on an EC2 instance is the easiest way to get started with Playwright 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 Playwright 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 Playwright 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 Browser Engines: Chromium (Chrome), Firefox and Webkit (Safari).
Preinstalled Visual Studio Code with sample Playwright scripts and language bindings for Python, Node.js, and Java.
Watch our video tutorials to get started with this image:
Deploy Your Own Playwright Server in the Cloud Now!
Highlights
One-click deployment of Ubuntu with a graphical user interface (GUI) to run Playwright scripts in both headless and non-headless mode. Develop and execute Playwright scripts across Chromium (Chrome), Firefox and WebKit (Safari).
Easily access the Xfce desktop environment via RDP or VNC. Get started instantly with preinstalled Visual Studio Code, sample Playwright scripts, and language bindings for Python, Node.js, and Java.
Configured and supported by the SilverLining.Cloud team. Contact us via live chat on our website or email us at support@silverlining.cloud
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.
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.
You pay by the hour for this software, billed through AWS Marketplace based on the EC2 instance type you run. Each dimension maps to a specific instance size, from small general-purpose types like t2.micro to large compute, memory, and GPU instances. Your hourly rate scales with the instance you pick, so more powerful hardware costs more per hour. You choose one instance type at launch and pay only while it runs. The vendor recommends an instance with at least 4 GB of memory for the GUI desktop. No upfront commitment or fixed term applies.
Top-of-mind questions for buyers
What does one hourly unit cover for this product?
One hourly unit covers the running time of a single EC2 instance of the type you select at launch. You pay for each hour that instance runs. The rate reflects the specific instance size, so a larger instance carries a higher hourly rate than a smaller one.
Am I charged when the instance is stopped or paused?
Software charges meter running hours only. When you stop the instance, the hourly software charge stops accruing. A stopped instance may still incur separate AWS storage fees for its attached disk, but those are AWS charges, not the software charge you see here.
How do I stop being billed for this product?
Two actions matter. Stop or terminate the EC2 instance to halt the hourly software charge. To end the listing entirely, cancel the subscription in the AWS Marketplace Console under Manage, then Actions, then Cancel subscription. Canceling the subscription does not by itself stop a running instance.
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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.
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.
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.
Support for automating Chromium, Firefox, and WebKit browser engines with execution capabilities in both headless and non-headless modes
Remote Desktop Access
Remote desktop connectivity via RDP or VNC protocols to interact with the graphical user interface
Multi-Language Support
Preinstalled language bindings and sample scripts for Python, Node.js, and Java for Playwright script development
Integrated Development Environment
Preinstalled Visual Studio Code with sample Playwright scripts for script editing and development
Lightweight GUI Environment
Ubuntu-based operating system with Xfce desktop environment optimized for minimal resource consumption
Dual Remote Access Methods
RDP connectivity on port 3389 compatible with Microsoft Remote Desktop, Remmina, and FreeRDP clients, plus web-based browser access on port 8080 requiring no additional client software installation
Operating System and Desktop Environment
Ubuntu 22.04 LTS (Jammy Jellyfish) with Gnome Desktop Environment, supported with security updates through April 2027, and automatic security updates enabled by default
Encryption and Security Protocols
RDP connections encrypted via TLS and web interface served over HTTPS, with configurable AWS Security Groups for restricting ingress to known IP ranges on ports 3389, 8080, and 22
Pre-installed Software Stack
xRDP Server for RDP connectivity, web-based remote access interface, Firefox web browser, and standard Ubuntu system utilities including file browser and system tools
Cloud Integration and Management
Integration with AWS Systems Manager for patch management and Amazon CloudWatch for instance monitoring and usage tracking
Operating System Version
Ubuntu 22.04 (Jammy Jellyfish) LTS with graphical user interface
Pre-installed Productivity Applications
Includes LibreOffice, GIMP, Firefox, and access to additional software through package manager
Cloud Platform Optimization
Fully optimized for AWS Cloud Platform deployment with maximum performance and reliability
System Architecture Support
Available on X86 architecture
Customizable Desktop Environment
Fully customizable Linux desktop environment with ability to install and configure additional software and tools
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