What are the Features of AWS Lambda?

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What are the Features of AWS Lambda

AWS Lambda is a computing service that enables you to run code without the need for you to setup or manage servers. Lambda executes your code on a high availability compute infrastructure and manages all compute resource administration, such as server and capacity provisioning and automatic scaling, operating system upkeep, and reporting. All you have to do with Lambda is provide your code in one of the language runtimes supported by Lambda. To know more about AWS Lambda, join FITA Academy‘s AWS Training in Chennai, which will provide you with a diverse skill set and the best Placement Training. This blog will explain What are the Features of AWS Lambda. 

When to use Lambda?

Lambda is a compute service for application scenarios that require rapid scaling up and rapid scaling down when not in use. Lambda, for example, can be used for:

File processing: After an upload, use Amazon Simple Storage Service (Amazon S3) to initiate Lambda data processing in real time.

Stream processing: Process real-time streaming data with Lambda and Amazon Kinesis for application activity tracking, clickstream analysis, transaction order processing, data cleansing, log filtering, social media analysis, indexing, Internet of Things (IoT) device data telemetry, and metering.

Web applications: Combining Lambda with other AWS services allows you to create sophisticated web apps that scale up and down automatically and run in a highly available configuration across several data centers.

IoT backends: Create serverless backends for web, mobile, IoT, and third-party API queries with Lambda.

Mobile backends: To authenticate and process API requests, create backends with Lambda and Amazon API Gateway. AWS Amplify makes it simple to combine your iOS, Android, Web, and React Native frontends.

Features of AWS Lambda

The following major capabilities assist you in developing scalable, secure, and easily expandable Lambda applications:

Configuring function options

Use the console or AWS CLI to configure your Lambda function.

Environment variables

Use environment variables to adjust your functions behavior without updating code.

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Lambda Versions

Versions allow you to manage your function deployment so that a new function, for example, can be used for beta testing without impacting users of the stable version.

Container images

Develop a container image for a Lambda function using an AWS provided base image or an alternative base image, allowing you to leverage your existing container tooling or deploy larger workloads with significant dependencies, such as machine learning.

Layers

Package libraries and other dependencies to reduce deployment archive size and speed up code deployment.

Lambda extensions

Enhance your Lambda functions with monitoring, observability, security, and governance capabilities.

Function URLs

Create an HTTP(S) endpoint for your Lambda function.

Response streaming

Configure your Lambda function URLs to stream Node.js function response payloads back to clients, enhance time to first byte (TTFB) efficiency, or return larger payloads.

Concurrency and scaling controls

Fine-grained management is used to manage the scale and responsiveness of your production apps.

Database access and proxy

To manage a array of database connections and relay queries from a function, create an Amazon RDS Proxy database proxy. Your function can achieve large concurrent levels using a proxy without draining database connections.

File system access

Configure a function to mount an Amazon Elastic File System (Amazon EFS) to a local directory, allowing your function code to safely and concurrently access and alter shared resources.

Lambda SnapStart for Java

Improve startup efficiency for Java runtimes by up to 10x at no extra cost, with no changes to your function code in most cases.

Finally, you enjoyed this blog and now understand everything about AWS Lambda, including What are the Features of AWS Lambda. 

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