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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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.

Lambda 81
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Choice Hotels’ all-in cloud journey to sustainable business value

CIO

Choice Hotels International’s early and big bet on the cloud has allowed it to glean the many benefits of its digital transformation and devote more energies to a key corporate value — sustainability, its CIO maintains. It also helped reduce energy consumption and costs.

Hotels 362
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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning - AI

Cloud technologies are progressing at a rapid pace. You need to establish proper security guardrails in the cloud environment and create a proactive monitoring practice to strengthen your cloud security posture and maintain required compliance standards. However, security is a big risk when adopting the latest technologies.

Lambda 67
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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.

Cloud 273
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How Planview built a scalable AI Assistant for portfolio and project management using Amazon Bedrock

AWS Machine Learning - AI

This approach is both architecturally and organizationally scalable, enabling Planview to rapidly develop and deploy new AI skills to meet the evolving needs of their customers. Application teams manage their agents using Lambda functions that interact with Amazon Bedrock.

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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.