Remove Infrastructure Remove Lambda Remove Scalability
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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

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. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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From Code to Cloud: AWS Lambda CI/CD with GitHub Actions

Perficient

Introduction: Integrating GitHub Actions for Continuous Integration and Continuous Deployment (CI/CD) in AWS Lambda deployments is a modern approach to automating the software development lifecycle. After this, open AWS Lambda and create a function using Python with the default settings. In our case, we are using ap-south-1.

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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. The code runs in a Lambda function. Implement your business logic in this file.

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Multi-LLM routing strategies for generative AI applications on AWS

AWS Machine Learning - AI

Semantic routing offers several advantages, such as efficiency gained through fast similarity search in vector databases, and scalability to accommodate a large number of task categories and downstream LLMs. These embeddings are then saved as a reference index inside an in-memory FAISS vector store, which is deployed as a Lambda layer.

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

AWS Machine Learning - AI

The Lambda function runs the database query against the appropriate OpenSearch Service indexes, searching for exact matches or using fuzzy matching for partial information. The Lambda function processes the OpenSearch Service results and formats them for the Amazon Bedrock agent.

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Mastering AWS Infrastructure as Code with Pulumi and Python

Perficient

Pulumi is a modern Infrastructure as Code (IaC) tool that allows you to define, deploy, and manage cloud infrastructure using general-purpose programming languages. Pulumi SDK Provides Python libraries to define and manage infrastructure. Backend State Management Stores infrastructure state in Pulumi Cloud, AWS S3, or locally.

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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

Whether youre an experienced AWS developer or just getting started with cloud development, youll discover how to use AI-powered coding assistants to tackle common challenges such as complex service configurations, infrastructure as code (IaC) implementation, and knowledge base integration.

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