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    Playwright in AWS Lambda

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    AWS Free Tier
    This Amazon Machine Image (AMI) serves as a workbench virtual machine, enabling you to deploy Playwright in an AWS Lambda function to automate Chromium. It includes all necessary files, configurations, and sample code to run Playwright on demand with AWS Lambda.
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    Playwright in AWS Lambda

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    Overview

    Scale Playwright to Infinity with AWS Lambda

    This Amazon Machine Image (AMI) allows you to deploy an EC2 virtual machine that serves as a workbench for deploying Playwright in AWS Lambda. Once launched, you can connect to the virtual machine via SSH and use the command-line interface (CLI) to set up Playwright in AWS Lambda to automate Chromium. The AMI includes all necessary files, configurations, and sample code for Node.js, along with a detailed step-by-step installation guide.

    How It Works:

    1. Launch a virtual machine instance using this AMI.
    2. Configure an Identity and Access Management (IAM) user for deployment.
    3. SSH into the virtual machine and configure the IAM user with the AWS CLI tool.
    4. Follow the deployment steps to set up Playwright and Chromium in Node.js using the pre-installed Docker environment.

    Find detailed instructions at: https://www.silverlining.cloud/docs/aws/playwright-lambda 

    Deploy Playwright in Your Lambda Function Now!

    Highlights

    • Deploy Chromium and Playwright to AWS Lambda using this workbench AMI. SSH into the virtual machine and follow our detailed step-by-step guide.
    • Preconfigured and preinstalled for easy deployment of a Docker image to an AWS Lambda function running 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

    Delivery method

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

    Latest version

    Operating system
    AmazonLinux 2

    Features and programs

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    Pricing

    Playwright in AWS Lambda

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    Pricing is based on a fixed monthly subscription cost. You pay the same amount each month for unlimited usage of the product. Pricing is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Subscription cost

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    $19.00/month

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Contact per email

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    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

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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

    We have updated our deployment and development environments to use Node.js version 20 and the latest version of the Chromium browser.

    Additional details

    Usage instructions

    Click here for detailed usage instructions with tutorials, screenshots, and troubleshooting tips. 

    Deploy Selenium in a AWS Lambda function:

    1. Launch the instance
    2. Create an IAM user allowing deploying to Lambda using SAM
    3. SSH into instance and navigate into /home/ec2-user/playwright-docker-nodejs
    4. Add the IAM user to the instance by 'aws configure'
    5. Deploy the sample Playwright script with Docker

    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

    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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