Overview
Scale Selenium 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 Selenium WebDriver in AWS Lambda. Once launched, you can connect to the virtual machine via SSH and use the command-line interface (CLI) to set up Selenium WebDriver in AWS Lambda to automate Chromium. The AMI includes all necessary files, configurations, and sample code for Python and Java, 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 Selenium and Chromium in Python or Java using the pre-installed Docker environment.
Find detailed instructions at: https://www.silverlining.cloud/docs/aws/selenium-lambda
Deploy Selenium in Your Lambda Function Now!
Highlights
- Deploy Chromium and Selenium 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 Python or Java.
- 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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Pricing
- $24.00/month
Type | Cost |
|---|---|
EBS General Purpose SSD (gp2) volumes | $0.10/per GB/month of provisioned storage |
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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 development environment to include the deployment of Java 17 based function with Selenium beside the existing Python deployment option. Furthermore Chrome and Chromium are updated to their most recent version.
Additional details
Usage instructions
Click here for detailed usage instructions with tutorials, screenshots, and troubleshooting tips.
Deploy Selenium in a AWS Lambda function:
- Launch the instance
- Create an IAM user allowing deploying to Lambda using SAM
- SSH into instance and navigate either into /home/ec2-user/selenium-docker-python or /home/ec2-user/selenium-docker-java
- Add the IAM user to the instance by 'aws configure'
- Deploy the sample Selenium 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
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Support
Vendor support
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.
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