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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.

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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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CBRE and AWS perform natural language queries of structured data using Amazon Bedrock

AWS Machine Learning - AI

In this post, we describe how CBRE partnered with AWS Prototyping to develop a custom query environment allowing natural language query (NLQ) prompts by using Amazon Bedrock, AWS Lambda , Amazon Relational Database Service (Amazon RDS), and Amazon OpenSearch Service. A Lambda function with business logic invokes the primary Lambda function.

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Managing Running Instances Made Easier with AWS Lambda

Cloud That

Permissions Required to Perform the Task. Steps to Create a Lambda Function. We can do it through a single click by creating a function in AWS lambda. In this post, I will cover how to call instances of meta-data using Lambda. Without any additional configuration, AWS Lambda scales the infrastructure without difficulty.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. This request contains the user’s message and relevant metadata.

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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

Refer to Supported Regions and models for batch inference for current supporting AWS Regions and models. To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions.

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Analysis Performance of Applications Using AWS DLT service

Perficient

For more info, please refer to AWS documentation: [link] Fig: Distributed Load Testing on AWS architecture Learn more about DLT and AWS architecture. Reference : [link] Step 1: Create a CloudFormation stack for the DLT web console so users can access the dashboard and perform load tests. Please refer to the information below.

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