Amazon Lambda Documentation

Amazon Lambda is a serverless compute service that lets you run code without provisioning or managing servers, creating workload-aware cluster scaling logic, maintaining event integrations, or managing runtimes. You can upload your code as a ZIP file or container image, and Lambda is designed to automatically and allocate compute execution power and run your code based on the incoming request or event. You can set up your code to trigger from services of Amazon Web Services China Regions and SaaS applications or call it directly from any web or mobile app. You can write Lambda functions in your favorite language (Node.js, Python, Go, Java, and more) and use both serverless and container tools, such as Amazon SAM or Docker CLI, to build, test, and deploy your functions.

The code you run on Amazon Lambda is called a “Lambda function.” After you create your Lambda function, it is ready to run as soon as it is triggered, similar to a formula in a spreadsheet. Each function includes your code as well as some associated configuration information, including the function name and resource requirements. Lambda functions are “stateless”, with no affinity to the underlying infrastructure, so that Lambda can launch as many copies of the function as needed to scale to the rate of incoming events.

Amazon Lambda allows you to add custom logic to Amazon Web Services resources such as Amazon S3 buckets and Amazon DynamoDB tables, making it easier to apply compute to data as it enters or moves through the cloud.

You can use Amazon Lambda to create new backend services for your applications that are triggered on-demand using the Lambda API or custom API endpoints built using Amazon API Gateway.

With Amazon Lambda, there are no new languages, tools, or frameworks to learn. You can use third-party libraries, even native ones. You can also package code (frameworks, SDKs, libraries, and more) as a Lambda Layer, and manage and share them across multiple functions. Lambda natively supports Java, Go, PowerShell, Node.js, C#, Python, and Ruby code, and provides a Runtime API which allows you to use additional programming languages to author your functions.

Amazon Lambda manages the core infrastructure to run your code on highly available, fault-tolerant infrastructure, freeing you to focus on building differentiated backend services.

Amazon Lambda maintains compute capacity across multiple Availability Zones in each China Region to help you protect your code against individual machine or data center facility failures. Both Amazon Lambda, and the functions running on the service, provide predictable and reliable operational performance. Amazon Lambda is designed to provide high availability for both the service itself and the functions it operates.

Amazon Lambda supports packaging and deploying functions as container images, making it easier for customers to build Lambda-based applications by using familiar container image tooling, workflows, and dependencies.

Amazon Lambda invokes your code only when needed, and automatically scales to support the rate of incoming requests. Amazon Lambda typically starts running your code within milliseconds of an event.

Use Amazon RDS Proxy to take advantage of managed connection pools for relational databases. RDS Proxy efficiently manages thousands of concurrent database connections to relational databases, making it easier to build highly scalable, secure, Lambda-based serverless applications that need to interact with relational databases.

When enabled, Provisioned Concurrency keeps functions initialized. Provisioned Concurrency is ideal for any application built using Amazon Lambda that needs greater control over function start time. You can configure the appropriate amount of concurrency that your application needs. You can increase the level of concurrency during times of high demand and lower it, or turn it off completely, when demand decreases. Taking advantage of Provisioned Concurrency requires no changes to your code.

With Amazon Elastic File System for Amazon Lambda, you can securely read, write, and persist large volumes of data at low latency, at scale. You don't need to write code to download data to temporary storage in order to process it. This saves time and simplifies the code, allowing you to focus on your business logic.

With Lambda@Edge, Amazon Lambda can run your code across Amazon Web Services China locations in response to Amazon CloudFront events, such as content requests to or from origin servers and viewers.

You can coordinate multiple Amazon Lambda functions for complex or long-running tasks by building workflows with Amazon Step Functions. Step Functions lets you define workflows that trigger a collection of Lambda functions using sequential, parallel, branching, and error-handling steps. With Step Functions and Lambda, you can build stateful, long-running processes for applications and backends.

Amazon Lambda allows your code to securely access other services of Amazon Web Services China Regions through its built-in Amazon SDK and integration with Amazon Identity and Access Management (IAM). Amazon Lambda runs your code within a VPC by default. You can optionally also configure Amazon Lambda to access resources behind your own VPC, allowing you to leverage custom security groups and network access control lists to provide your Lambda functions access to your resources within a VPC.

Code Signing for Amazon Lambda offers trust and integrity controls which allow you to verify that unaltered code published by approved developers is deployed in your Lambda functions. You can create digitally signed code artifacts and configure your Lambda functions to verify the signatures at deployment.

You choose the amount of memory you want to allocate to your functions, and Amazon Lambda allocates proportional CPU power, network bandwidth, and disk I/O.

Amazon Lambda extensions allow you to integrate Lambda with your favorite tools for monitoring, observability, security, and governance. Lambda extensions run within Lambda’s execution environment, which is where your function code is executed. With Lambda extensions, you can capture fine-grained diagnostic information and send function logs, metrics, and traces to a location of your choice. You can also integrate security agents within Lambda’s execution environment.

For additional information about service controls, security features and functionalities, including, as applicable, information about storing, retrieving, modifying, restricting, and deleting data, please see https://docs.amazonaws.cn/en_us/. This additional information does not form part of the Documentation for purposes of the Sinnet Customer Agreement for Amazon Web Services (Beijing Region), Western Cloud Data Customer Agreement for Amazon Web Services (Ningxia Region) or other agreement between you and Sinnet or NWCD governing your use of services of Amazon Web Services China Regions.