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This Amazon Machine Image (AMI) serves as a workbench virtual machine, enabling you to deploy Puppeteer in an AWS Lambda function to automate Chromium. It includes all necessary files, configurations, and sample code to run Puppeteer on demand with AWS Lambda.
This Amazon Machine Image (AMI) allows you to deploy an EC2 virtual machine that serves as a workbench for deploying Puppeteer in AWS Lambda. Once launched, you can connect to the virtual machine via SSH and use the command-line interface (CLI) to set up Puppeteer 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:
Launch a virtual machine instance using this AMI.
Configure an Identity and Access Management (IAM) user for deployment.
SSH into the virtual machine and configure the IAM user with the AWS CLI tool.
Follow the deployment steps to set up Puppeteer and Chromium in Node.js using the pre-installed Docker environment.
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.
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.
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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).
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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
We have updated our deployment and development environments to use Node.js version 20 and the latest version of the Chromium browser.
Create an IAM user allowing deploying to Lambda using SAM
SSH into instance and navigate into /home/ec2-user/puppeteer-docker-nodejs
Add the IAM user to the instance by 'aws configure'
Deploy the sample Puppeteer 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.
For assistance with deployment issues, configuration, integration, troubleshooting, or feature requests, 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.
This product has charges associated with it for seller support and maintenance. Ready to use minimal CentOS Stream 9 AMI within a default 16 GiB LVM managed instance volume. Login using 'ec2-user' and ssh public key authentication. Cloud-init included. ENA enabled. All CentOS9 Stream updates available at the release date are included.
I've cancelled all the services multiple times, even update my payment info for a dummy one, but they still keep charging me month after month. Next to impossible to cancel and get rid of the payment.