Remove Architecture Remove Lambda Remove Load Balancer
article thumbnail

Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

By implementing this architectural pattern, organizations that use Google Workspace can empower their workforce to access groundbreaking AI solutions powered by Amazon Web Services (AWS) and make informed decisions without leaving their collaboration tool. This request contains the user’s message and relevant metadata.

article thumbnail

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. API Gateway also provides a WebSocket API.

article thumbnail

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.

article thumbnail

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. In a well-architected microservice architecture, there is a good chance this is true. However, it does have consequences.

AWS 130
article thumbnail

Enhance conversational AI with advanced routing techniques with Amazon Bedrock

AWS Machine Learning - AI

This is done using ReAct prompting, which breaks down the task into a series of steps that are processed sequentially: For device metrics checks, we use the check-device-metrics action group, which involves an API call to Lambda functions that then query Amazon Athena for the requested data. It serves as the data source to the knowledge base.

article thumbnail

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.

article thumbnail

Building Resilient Public Networking on AWS: Part 4

Xebia

Architecture Overview The accompanying diagram visually represents our infrastructure’s architecture, highlighting the relationships between key components. We will also see how this new method can overcome most of the disadvantages we identified with the previous approach. Without further ado, let’s get into the business!

AWS 130