Meet resource-intensive and unpredictable demand by using AWS Lambda to instantly scale out to more than 18k vCPUs. Build processing workflows quickly and easily with suite of other serverless offerings and event triggers.

Lambda functions - the basic building blocks of Lambda you use to build applications. Lambda runtimes - the language-specific environments that your functions run in. Triggers and event source mappings - ways for other AWS services to invoke your …

Provides a conceptual overview of AWS Lambda, detailed instructions for using the various features, and a complete API reference for developers.

With Lambda, all you need to do is supply your code in one of the language runtimes that Lambda supports. You organize your code into Lambda functions. The Lambda service runs your function only when needed and scales automatically.

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources for you, making it easier to build applications that respond quickly to new information.

AWS Lambda extensions enable easy integration with your favorite monitoring, observability, security, and governance tools. Lambda invokes your function in an execution environment, which provides a secure and isolated runtime where your function code is executed.

2024年8月21日 · You can encrypt filter criteria with Customer managed key (CMK) when you create or update an event source mapping, using AWS Lambda event source mapping API, AWS Management Console, AWS Command Line Interface (AWS CLI), AWS SDK, AWS CloudFormation, and AWS Serverless Application Model (AWS SAM).

2024年11月14日 · 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.

Find AWS Lambda and serverless resources including getting started tutorials, reference architectures, documentation, webinars, and case studies.

Lambda 會管理提供記憶體、CPU、網路和其他資源平衡的運算機群，以執行您的程式碼。由於 Lambda 管理這些資源，因此您無法登入運算執行個體或在提供的執行時間自訂作業系統。Lambda 會代表您執行操作和管理活動，包括管理容量、監控和記錄您的 Lambda 函數。