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# [Stackery]([link] Machine Learning Image Recognition Example This is an example machine learning image recognition stack using AWS Lambda Container Images. Lambda container images can include more source assets than traditional ZIP packages (10 GB vs 250 MB image sizes), allowing for larger ML models to be used. Close the palette.  helped to pioneer what is commonly referred to as serverless today with AWS Lambda, which was first announced back in 2015. Lambda is just one component of a modern serverless stack.
AWS Lambda is a serverless computing service provided by Amazon Web Services (AWS) that allows you to run code without provisioning or managing servers. Together, AWS Lambda and Node.js can be used to create a RESTful API that can be triggered by events such as an HTTP request.
AWS Lambda handles the REST API integration, processing the requests and invoking the appropriate AWS services. To set up the integration, follow these steps: Create an AWS Lambda function with Python runtime and below code to be the backend for the API. Follow the tutorial to deploy the API and take note of the APIs invoke URL.
Today’s entry into our exploration of public cloud prices focuses on AWS Lambda pricing. In this article, we’ll take a look at the Lambda pricing model, and some things you need to keep in mind when estimating costs for serverless infrastructure. How AWS Lambda Pricing Works. AWS Lambda pricing is based on what you use.
Steps to Create a Lambda Function. We can do it through a single click by creating a function in AWS lambda. In this post, I will cover how to call instances of meta-data using Lambda. Without any additional configuration, AWS Lambda scales the infrastructure without difficulty. Select the use case as Lambda.
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