Remove Cloud 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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Streamlining Workflows with Feature Branches and Logical Stacks

Xebia

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. However, we always advise modernizing to reap all the benefits of the cloud. These stacks should have a minimal number of dependencies.

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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. It can be a local machine or a cloud instance.

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We are still early with the cloud

Erik Bernhardsson

And today, the cloud is obviously here… I mean, despite what some people may think about cloud adoption 2. it's clear that building technology is vastly different today than it was a decade ago, and the cloud deserves a big part of the credits for it. Infinite scalability. We've seen Cloud 1.0 Lower costs.

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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

Amazon DynamoDB is a fully managed NoSQL database service that provides fast and predictable performance with seamless scalability. AWS Lambda is an event-driven compute service that lets you run code for virtually any type of application or backend service without provisioning or managing servers.

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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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