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Serverless Computing - AWS Lambda - Amazon Web Services With AWS Lambda, you can build and operate powerful web and mobile back-ends that deliver consistent, uninterrupted service to end users by automatically scaling up and down based on real-time needs
What is AWS Lambda? When using Lambda, you are responsible only for your code Lambda runs your code on a high-availability compute infrastructure and manages all the computing resources, including server and operating system maintenance, capacity provisioning, automatic scaling, and logging
Python 3. 13 runtime now available in AWS Lambda Lambda now supports Python 3 13 as a managed language runtime This release uses the Amazon Linux 2023 OS and includes Python 3 13 language additions including data model improvements, typing changes, and updates to the standard library
Working with layers for Python Lambda functions - AWS Lambda For more examples of how to use Lambda layers, see the layer-python sample application in the AWS Lambda Developer Guide GitHub repository This application includes two layers that contain Python libraries
Handling billions of invocations – best practices from AWS Lambda AWS Lambda is a highly scalable and resilient serverless compute service With over 1 5 million monthly active customers and tens of trillions of invocations processed, scalability and reliability are two of the most important service tenets