Overview
Get started with Puppeteer in the Cloud with this AMI. Puppeteer controls Chrome and Chromium over the DevTools Protocol, making it a perfect candidate for Performance and Load Testing. We provide solutions for Linux (Headless and Graphical User Interface) as well as Windows.
This AMI comes with detailed documentation, sample code snippets, and email support. Whether you require assistance, wish to explore additional instance types, seek custom pricing solutions, or want to share valuable feedback, our dedicated support team is ready to assist you. Connect with us via email or engage in real-time conversations through live chat on our website. We're here to ensure your experience with us is seamless and tailored to your needs.
Hard Facts for this AMI:
- Ubuntu 20.04 with GUI
- Automate Google Chrome & Chromium
- Puppeteer (+ sample code)
About SilverLining.cloud We are an Independent Software Vendor and IT Development and Consulting company specializing in cloud-based solutions. We provide public cloud solutions to thousands of customers across the globe, day in and day out. Our clients rely on our cost-effective solutions for their simplicity, ease of use, reliability, and scalability.
Product preview image: https://aws3.link/yFYIqi
Highlights
- Browser Automation with Puppeteer
- Automate Google Chrome and Chromium
- Configured and supported by the experts at SilverLining.Cloud
Details
Typical total price
$0.061/hour
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
- ...
Instance type | Product cost/hour | EC2 cost/hour | Total/hour |
---|---|---|---|
t1.micro | $0.021 | $0.02 | $0.041 |
t2.nano | $0.021 | $0.006 | $0.027 |
t2.micro AWS Free Tier | $0.021 | $0.012 | $0.033 |
t2.small | $0.01 | $0.023 | $0.033 |
t2.medium Recommended | $0.015 | $0.046 | $0.061 |
t2.large | $0.015 | $0.093 | $0.108 |
t2.xlarge | $0.021 | $0.186 | $0.207 |
t2.2xlarge | $0.027 | $0.371 | $0.398 |
t3.nano | $0.021 | $0.005 | $0.026 |
t3.micro AWS Free Tier | $0.021 | $0.01 | $0.031 |
Additional AWS infrastructure costs
Type | Cost |
---|---|
EBS General Purpose SSD (gp3) volumes | $0.08/per GB/month of provisioned storage |
Vendor refund policy
Contact per email
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
This major release includes an update from Ubuntu 20.04 to Ubuntu 24.04 LTS, as well as the integration of Visual Studio Code as the main code editor. Furthermore, NodeJS, along with its packages, and the installed browser have been updated to their most recent versions. As always, we're keen to hear from you. Should you encounter any issues or have suggestions for future updates, please reach out to our support team.
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
Contact us at support@silverlining.cloud or chat with our experts live 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.