Remove Lambda Remove Load Balancer Remove Performance
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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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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. Refer to Perform AI prompt-chaining with Amazon Bedrock for more details.

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Securing S3 Downloads with ALB and Cognito Authentication

Xebia

This would cache the content closer to your users, making sure that your users have the best performance. I am using an Application Load Balancer to invoke a Lambda function. In this case, we can use the native Cognito integration of the application load balancer. We will use a Lambda function to check this.

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Building Resilient Public Networking on AWS: Part 4

Xebia

One of the key differences between the approach in this post and the previous one is that here, the Application Load Balancers (ALBs) are private, so the only element exposed directly to the Internet is the Global Accelerator and its Edge locations. These steps are clearly marked in the following diagram.

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AWS Lambda Versioning and Aliases

Linux Academy

The course has three new sections (and Lambda Versioning and Aliases plays an important part in the Lambda section): Deployment Pipelines. AWS Lambda, and. AWS Lambda and Serverless Concepts. Now to be clear, it is not Lambda’s sole purpose to work with CloudFormation, but it is certainly a common use case.

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Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

Amazon Bedrock is a fully managed service that offers a choice of high-performing foundation models (FMs) from leading AI companies like AI21 Labs, Anthropic, Cohere, Meta, Stability AI, and Amazon using a single API, along with a broad set of capabilities you need to build generative AI applications with security, privacy, and responsible AI.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. As such, there is no change in cloud performance even when the VMs are being migrated. Access to a Diverse Range of Tools. Live Migration.