Remove Authentication Remove Infrastructure Remove Load Balancer
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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning. The custom header value is a security token that CloudFront uses to authenticate on the load balancer.

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Deploy Meta Llama 3.1-8B on AWS Inferentia using Amazon EKS and vLLM

AWS Machine Learning - AI

Before running the following commands, make sure you authenticate towards AWS : export AWS_REGION=us-east-1 export CLUSTER_NAME=my-cluster export EKS_VERSION=1.30 Before running the following commands, make sure you authenticate towards AWS : export AWS_REGION=us-east-1 export CLUSTER_NAME=my-cluster export EKS_VERSION=1.30

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It contains services used to onboard, manage, and operate the environment, for example, to onboard and off-board tenants, users, and models, assign quotas to different tenants, and authentication and authorization microservices. You can use AWS services such as Application Load Balancer to implement this approach.

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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. For Authentication Audience , select App URL , as shown in the following screenshot.

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Infrastructure as code, part 02: build Docker images and deploy to Kubernetes

CircleCI

In this series, I’ll demonstrate how to get started with infrastructure as code (IaC). Since Docker Hub requires authorization to access the service, we need to use the login command to authenticate. The { } blocks are empty because we’ll be handling the authentication requirements with a different process. The provider.tf

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Why you must extend Zero Trust to public cloud workloads

CIO

A recent study shows that 98% of IT leaders 1 have adopted a public cloud infrastructure. However, it has also introduced new security challenges, specifically related to cloud infrastructure and connectivity between workloads as organizations have limited control over those connectivity and communications. 8 Complexity.

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Build a custom UI for Amazon Q Business

AWS Machine Learning - AI

The workflow includes the following steps: The user accesses the chatbot application, which is hosted behind an Application Load Balancer. After the user logs in, they’re redirected to the Amazon Cognito login page for authentication. Additionally, it creates and configures those services to run the end-to-end demonstration.