Remove Construction Remove Lambda Remove Scalability
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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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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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Introducing AWS MCP Servers for code assistants (Part 1)

AWS Machine Learning - AI

This AI-driven approach is particularly valuable in cloud development, where developers need to orchestrate multiple services while maintaining security, scalability, and cost-efficiency. Todays AI assistants can understand complex requirements, generate production-ready code, and help developers navigate technical challenges in real time.

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Create generative AI agents that interact with your companies’ systems in a few clicks using Amazon Bedrock in Amazon SageMaker Unified Studio

AWS Machine Learning - AI

Lets look at an example solution for implementing a customer management agent: An agentic chat can be built with Amazon Bedrock chat applications, and integrated with functions that can be quickly built with other AWS services such as AWS Lambda and Amazon API Gateway. The agent has the capability to: Provide a brief customer overview.

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A Beginner’s Guide To Building Microservices With AWS Lambda

Dzone - DevOps

When used to construct microservices, AWS Lambda provides a route to craft scalable and flexible cloud-based applications. AWS Lambda supports code execution without server provisioning or management, rendering it an appropriate choice for microservices architecture.

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How BQA streamlines education quality reporting using Amazon Bedrock

AWS Machine Learning - AI

Amazon SQS serves as a buffer, enabling the different components to send and receive messages in a reliable manner without being directly coupled, enhancing scalability and fault tolerance of the system. The text summarization Lambda function is invoked by this new queue containing the extracted text.

Education 103
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Accelerate IaC troubleshooting with Amazon Bedrock Agents

AWS Machine Learning - AI

Error retrieval and context gathering The Amazon Bedrock agent forwards these details to an action group that invokes the first AWS Lambda function (see the following Lambda function code ). This contextual information is then sent back to the first Lambda function. Provide the troubleshooting steps to the user.

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