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  1. 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 …

  2. 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 …

  3. AWS Lambda Pricing

    Lambda automatically manages instance provisioning, scaling, patching, and lifecycle management, while you retain the familiar Lambda programming model and seamless integration with event …

  4. AWS Lambda – Resources

    In this tutorial, you will learn the basics of running code on AWS Lambda without provisioning or managing servers. Everything done in this tutorial is Free Tier eligible.

  5. AWS Lambda – Getting Started

    Use AWS Lambda on its own or combined with other AWS services to build powerful web applications, microservices and APIs that help you to gain agility, reduce operational complexity, reduce cost and …

  6. How Lambda works - AWS Lambda

    Dec 20, 2024 · Learn about basic Lambda concepts such as functions, execution environments, deployment packages, layers, runtimes, extensions, events, and concurrency.

  7. Serverless Computing - AWS Lambda Features - Amazon Web Services

    AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you.

  8. AWS Lambda Documentation

    With AWS Lambda, you can run code without provisioning or managing servers. You pay only for the compute time that you consume—there's no charge when your code isn't running.

  9. Lambda Managed Instances - AWS Lambda

    Run Lambda functions on Amazon EC2 instances with automatic provisioning, scaling, and management while benefiting from EC2 pricing advantages.

  10. Orchestrating Lambda functions with Step Functions

    Write separate Lambda functions for each task and use Step Functions to manage the workflow. Step Functions coordinates the flow of data between your functions and handles errors at each step.