AWS Lambda

AWS Lambda is a computing service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own backend services that operate at AWS scale, performance, and security. AWS Lambda can automatically execute code in response to modifications to objects in an Amazon S3 bucket, notifications sent from Amazon SNS, messages arriving in an Amazon Kinesis stream, or updates to tables in Amazon DynamoDB. Lambda runs your code on highly available computing infrastructure and handles all the management of compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code and security patch deployment, as well as code monitoring and logging. All you need to do is supply your code. ### Introducing AWS Lambda Functions The code you run on AWS Lambda is called a "Lambda function." Once you create a Lambda function, it is ready to execute immediately upon being triggered, much like a formula in a spreadsheet. Each function includes your code along with some associated configuration information, such as the function name and resource requirements. Lambda functions are "stateless," with no affinity to the underlying infrastructure, allowing Lambda to rapidly launch as many copies of the function as needed to match the rate of incoming events. After uploading your code to AWS Lambda, you can associate your function with specific AWS resources, such as a particular Amazon S3 bucket, an Amazon DynamoDB table, an Amazon Kinesis stream, or an Amazon SNS notification. Then, whenever the resource changes, Lambda will execute your function and manage the compute resources as needed to keep up with incoming requests.

AWS Lambda is a computing service that runs user code in response to events and automatically manages the underlying compute resources. It enables users to extend other AWS services with custom logic or build backend services that leverage AWS's scale, performance, and security.