Remove Lambda Remove Resources Remove Serverless
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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

However, proper strategies can make managing resources, dependencies, and environments challenging. This blog explores how to optimize feature branch workflows, maintain encapsulated logical stacks, and apply best practices like resource naming to improve clarity, scalability, and cost-effectiveness.

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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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Enhance customer support with Amazon Bedrock Agents by integrating enterprise data APIs

AWS Machine Learning - AI

The solution presented in this post takes approximately 15–30 minutes to deploy and consists of the following key components: Amazon OpenSearch Service Serverless maintains three indexes : the inventory index, the compatible parts index, and the owner manuals index. After deployment, the AWS CDK CLI will output the web application URL.

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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. Tutorial Let’s deploy a small stack including a single Lambda function. But it contains the AWS::Serverless-2016-10-31 transformation. This allows you to use the AWS::Serverless::Function resource.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Such a virtual assistant should support users across various business functions, such as finance, legal, human resources, and operations. This feature of Amazon Bedrock provides a single serverless endpoint for efficiently routing requests between different LLMs within the same model family.

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Use StepFunctions to simplify your serverless applications

Xebia

Use StepFunctions to simplify your serverless applications AWS StepFunctions is a great orchestrating tool for your serverless applications. When you write lambda functions that only contain logic to perform a single task they are easier to test. Especially when there is no orchestration logic within your function.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. API Gateway is serverless and hence automatically scales with traffic. It’s serverless so you don’t have to manage the infrastructure. This implementation overcomes timeout limitations in synchronous REST requests.