Remove AWS Remove Lambda Remove Linux
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Cross-Stack RDS User Provisioning and Schema Migrations with AWS Lambda

Xebia

Use identity and access management (AWS IAM). You can compare these credentials with the root credentials of a Linux system or the root account for your AWS account. You could use AWS IAM, and this will give us the ability to be more least privileged. For this, we can use a provisioner lambda function.

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Transcribe, translate, and summarize live streams in your browser with AWS AI and generative AI services

AWS Machine Learning - AI

Recognizing this need, we have developed a Chrome extension that harnesses the power of AWS AI and generative AI services, including Amazon Bedrock , an AWS managed service to build and scale generative AI applications with foundation models (FMs). The user signs in by entering a user name and a password.

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

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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Using Golang for your AWS Lambda Functions

Xebia

I was sparked on a XKE to do a short experiment with using Golang for my AWS Lambda Functions. But the advantage of Python is that you can actually see the source code in the AWS Console and tweak it. Dependencies In python you have the option to do inline code in AWS CloudFormation templates. This also a problem!

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Relative Python imports in a Dockerized lambda function

Xebia

Relative Python imports can be tricky for lambda functions. But recently, I ran into the same issue with Dockerized lambda functions. Project setup Make sure you installed the AWS CDK cli. Project setup Make sure you installed the AWS CDK cli. Project setup Make sure you installed the AWS CDK cli.

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How to Create Your First Lambda Function on AWS

MagmaLabs

In the beginning, the documentation for AWS LAMBDAS can be intimidating at times, but don’t worry, in this post, I will help you with the first steps to create an AWS LAMBDA Function. What’s a Lambda Function??. Here is Lambda documentation for you to look at it. client('lambda') ?

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Automate invoice processing with Streamlit and Amazon Bedrock

AWS Machine Learning - AI

Prerequisites To perform this solution, complete the following: Create and activate an AWS account. Make sure your AWS credentials are configured correctly. This tutorial assumes you have the necessary AWS Identity and Access Management (IAM) permissions. Install Python 3.7 or later on your local machine.