Overview
This Amazon Machine Image (AMI) enables you to deploy Chromium and the Browser Automation Framework Selenium to a Lambda Function.
- Start an instance of this AMI
- Configure an Identity Access Management (IAM) user for deployment
- Run the predefined code in this instance.
Scale Selenium to infinity by using this serverless architecture!
We offer the following deployment options:
- Minimalist Chromium build to Lambdas default Python runtime (cold start up time ~ 5 sec.)
- Full featured Chromium via custom images to deploy to a Python, NodeJS or Java runtime (cold start up time ~ 40 sec.
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.
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Highlights
- Deploy Chromium and Selenium to AWS Lambda by using our workbench AMI.
- Use default Lambda Runtime (Python) or deploy via custom images (Python, NodeJS and Java)
- Developed and Supported by SilverLining.cloud
Details
Pricing
- $24.00/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
Legal
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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
Updated included Lambda function code to Python 3.12
Additional details
Usage instructions
Find detailed documentation at https://www.silverlining.cloud/docs/aws/selenium-lambda
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Launch the instance
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Create an IAM user allowing deploying to Lambda using SAM
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SSH into instance and navigate into /home/ec2-user/selenium-python
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Add the IAM user to the instance by 'aws configure'
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Deploy the sample script by 'sam build --use-container' and 'sam deploy --guided'
Resources
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Support
Vendor support
Email: support@silverlining.cloud
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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