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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. This request contains the user’s message and relevant metadata.

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Securing a Web Application with AWS Application Load Balancer

Stackery

AWS Lambdas don’t let you do that. If you’re still using an Elastic Compute Cloud (EC2) Virtual Machine, enjoy this very useful tutorial on load balancing. That’s what I’m using AWS Application Load Balancer (“ALB”) for, even though I have only a single instance at the moment so there’s no actual load balancing going on.

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Can VPC Lattice replace AWS Transit Gateway?

Xebia

This resembles a familiar concept from Elastic Load Balancing. A target group can refer to Instances, IP addresses, a Lambda function or an Application Load Balancer. It is also possible to refer to an Auto Scaling Group and automatically add or remove instances as it scales.

AWS 130
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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. Shared components refer to the functionality and features shared by all tenants. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator.

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Event-driven compute with AWS Lambda is a good fit for compute-intensive, on-demand tasks such as document embedding and flexible large language model (LLM) orchestration, and Amazon API Gateway provides an API interface that allows for pluggable frontends and event-driven invocation of the LLMs.

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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 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. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers.