#AWS Lambda

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#aws-lambda

GitHub - awslabs/llrt: LLRT (Low Latency Runtime) is a lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.

LLRT is a lightweight JavaScript runtime designed for fast and efficient Serverless applications.
The LLRT runtime offers faster startup and lower cost compared to other JavaScript runtimes on AWS Lambda.

New GPT Actions Powered by Components

Using AWS Lambda for API creation enhances cost-efficiency and facilitates maintainability through its pay-as-you-go model and free tier.

New GPT Actions Powered by Components

AWS Lambda enables efficient API creation with cost-effective models and enhances system maintainability with independent components.

How to Share Code Between Serverless Functions

Serverless functions have evolved but face significant challenges in sharing code efficiently.

Efficiently processing batched data using parallelization in AWS Lambda | Amazon Web Services

Optimizing AWS Lambda through batching, distribution, and parallelization enhances resource utilization and reduces costs and function invocation frequency.

New GPT Actions Powered by Components

AWS Lambda and components provide a scalable, maintainable API architecture for dynamic applications.

GitHub - awslabs/llrt: LLRT (Low Latency Runtime) is a lightweight JavaScript runtime designed to address the growing demand for fast and efficient Serverless applications.

LLRT is a lightweight JavaScript runtime designed for fast and efficient Serverless applications.
The LLRT runtime offers faster startup and lower cost compared to other JavaScript runtimes on AWS Lambda.

New GPT Actions Powered by Components

Using AWS Lambda for API creation enhances cost-efficiency and facilitates maintainability through its pay-as-you-go model and free tier.

New GPT Actions Powered by Components

AWS Lambda enables efficient API creation with cost-effective models and enhances system maintainability with independent components.

How to Share Code Between Serverless Functions

Serverless functions have evolved but face significant challenges in sharing code efficiently.

Efficiently processing batched data using parallelization in AWS Lambda | Amazon Web Services

Optimizing AWS Lambda through batching, distribution, and parallelization enhances resource utilization and reduces costs and function invocation frequency.

New GPT Actions Powered by Components

AWS Lambda and components provide a scalable, maintainable API architecture for dynamic applications.
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The most visited AWS DevOps blog posts in 2023 | Amazon Web Services

Unit testing AWS Lambda functions is important for validating individual components.
Amazon CodeWhisperer provides support for using Okta as an external IdP for authentication.

The most visited AWS DevOps blog posts in 2023 | Amazon Web Services

Unit testing AWS Lambda functions is important for validating individual components.
Amazon CodeWhisperer provides support for using Okta as an external IdP for authentication.

The most visited AWS DevOps blog posts in 2023 | Amazon Web Services

Unit testing AWS Lambda functions is important for validating individual components.
Amazon CodeWhisperer provides support for using Okta as an external IdP for authentication.

AWS Lambda : Delete old EBS snapshots using Boto3

AWS Lambda allows you to run code without managing servers
Lambda can be used to automate tasks like deleting old EBS snapshots

How To Effectively Share Code Between AWS Lambda Functions?

Sharing code between Lambda functions in AWS can lead to easier maintenance, smaller bundle sizes, and increased team efficiency.
Bit components provide a novel way of sharing code between frontend and serverless backend in a loosely coupled manner.
Common strategies for sharing code among Lambda functions include putting shared code in one place, using Lambda Layers, and using tools like Serverless Framework and AWS CDK.

How To Effectively Share Code Between AWS Lambda Functions?

Sharing code between Lambda functions in AWS can lead to easier maintenance, smaller bundle sizes, and increased team efficiency.
Bit components provide a novel way of sharing code between frontend and serverless backend in a loosely coupled manner.
Common strategies for sharing code among Lambda functions include putting shared code in one place, using Lambda Layers, and using tools like Serverless Framework and AWS CDK.

How To Effectively Share Code Between AWS Lambda Functions?

Sharing code between Lambda functions in AWS can lead to easier maintenance, smaller bundle sizes, and increased team efficiency.
Bit components provide a novel way of sharing code between frontend and serverless backend in a loosely coupled manner.
Common strategies for sharing code among Lambda functions include putting shared code in one place, using Lambda Layers, and using tools like Serverless Framework and AWS CDK.

Managing AWS Lambda runtime upgrades | Amazon Web Services

AWS Lambda supports multiple programming languages through the use of runtimes.
Lambda is deprecating a number of popular runtimes triggered by end of life of upstream language versions and Amazon Linux 1.
Lambda helps manage runtime deprecations and upgrades by tracking which runtimes you are using and providing notifications.

Node.js 20.x runtime now available in AWS Lambda | Amazon Web Services

AWS Lambda now supports the Node.js 20 runtime.
Powertools for AWS Lambda and Lambda@Edge also support Node.js 20.
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