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AWS Lambda Benchmarking

Xebia

In this blog post, we examine the relative costs of different language runtimes on AWS Lambda. Many languages can be used with AWS Lambda today, so we focus on four interesting ones. Rust just came to AWS Lambda in November 2023 , so probably a lot of folks are wondering whether to try it out. The payload itself.

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Lambda Calculus Through JavaScript, Part 2

Xebia

The previous post in this series introduced the constraints we had to obey to use JavaScript as untyped lambda calculus , and then we relaxed some of those constraints via currying (for functions of more than one argument) and translation (to turn const local variables into a combination of functions).

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Lambda Calculus Through JavaScript, Part 4

Xebia

This is the fourth post in the Lambda Calculus Through JavaScript series. If you’re just joining us, make sure to go back and start with Lambda calculus through JavaScript, part 1. As usual, we’ll discover that lambda calculus gives us the ingredients to introduce this concept without extending the language, just by translation.

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High-performance computing on AWS

Xebia

How does High-Performance Computing on AWS differ from regular computing? For this HPC will bring massive parallel computing, cluster and workload managers and high-performance components to the table. It’s built on serverless services (API Gateway / Lambda) and provides the same functionality as the CLI tool pcluster.

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Stubbing AWS Service calls in Golang

Xebia

I used the following code to do this: package main import ( "context" "github.com/aws/aws-sdk-go-v2/config" "github.com/aws/aws-sdk-go-v2/service/s3" "time" "log" "os" ) type Request struct {} type Response struct {} type Lambda struct { s3Client *s3.Client PutObjectInput) (*s3.PutObjectOutput,

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Instrumenting Lambda with Traces: A Complete Example in Python

Honeycomb

We’re big fans of AWS Lambda at Honeycomb. As you may have read , we recently made some major improvements to our storage engine by leveraging Lambda to process more data in less time. For this project, that meant getting instrumentation out of Lambda and into Honeycomb. The instrumentation performance tax.

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Revolutionize logo design creation with Amazon Bedrock: Embracing generative art, dynamic logos, and AI collaboration

AWS Machine Learning - AI

Integrating it with the range of AWS serverless computing, networking, and content delivery services like AWS Lambda , Amazon API Gateway , and AWS Amplify facilitates the creation of an interactive tool to generate dynamic, responsive, and adaptive logos. This API will be used to invoke the Lambda function.

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