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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

Feature branches and stack-based development approaches offer powerful ways to isolate changes, test effectively, and ensure seamless integration. When you are done, you can thoroughly test your changes before merging them into the main branch. This example applies to the more traditional lift and shift approaches.

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

AWS Machine Learning - AI

With this solution, you can interact directly with the chat assistant powered by AWS from your Google Chat environment, as shown in the following example. Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message.

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

AWS Machine Learning - AI

Although the principles discussed are applicable across various industries, we use an automotive parts retailer as our primary example throughout this post. The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information.

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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. py touch lib/functions/hello-world/requirements.txt touch lib/functions/hello-world/Dockerfile Now you will need to fill the Dockerfile, like this: FROM public.ecr.aws/lambda/python:3.12

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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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Using design patterns in AWS Lambda

Xebia

In this blog post I will go over some reasons why you should be using design patterns in your Lambda functions Getting started To get started with AWS Lambda is quite easy, and this is also the reason why some crucial steps are skipped. Or use a compiled language like golang for your Lambda functions.

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How GoDaddy built a category generation system at scale with batch inference for Amazon Bedrock

AWS Machine Learning - AI

For example: Input: Fruit by the Foot Starburst Output: color -> multi-colored, material -> candy, category -> snacks, product_line -> Fruit by the Foot, GoDaddy used an out-of-the-box Meta Llama 2 model to generate the product categories for six million products where a product is identified by an SKU.