Remove Authentication Remove Linux 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

In this post, we explore a practical solution that uses Streamlit , a Python library for building interactive data applications, and AWS services like Amazon Elastic Container Service (Amazon ECS), Amazon Cognito , and the AWS Cloud Development Kit (AWS CDK) to create a user-friendly generative AI application with authentication and deployment.

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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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Azure Virtual Machine Tutorial

The Crazy Programmer

Load balancing – you can use this to distribute a load of incoming traffic on your virtual machine. Login with AAD credentials – If we turn this on then we can also access our virtual machine with the credentials of Azure Active Directory and we can also enforce Multi-Factor Authentication. Management.

Azure 249
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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

The embeddings container component of our solution is deployed on an EC2 Linux server and mounted as an NFS client on the FSx for ONTAP volume. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB). COM" lb-dns-name = "chat-load-balancer-2040177936.elb.amazonaws.com"

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Use LangChain with PySpark to process documents at massive scale with Amazon SageMaker Studio and Amazon EMR Serverless

AWS Machine Learning - AI

Authentication mechanism When integrating EMR Serverless in SageMaker Studio, you can use runtime roles. This process can be further accelerated by increasing the number of load-balanced embedding endpoints and worker nodes in the cluster. latest USER root RUN dnf install python3.11 python3.11-pip jars/livy-repl_2.12-0.7.1-incubating.jar

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Ingesting HTTP Access Logs from AppService

Honeycomb

This is supplemental to the awesome post by Brian Langbecker on using Honeycomb to investigate the Application Load Balancers (ALB) Status Codes in AWS. Since Azure AppService also has a Load Balancer serving the application servers, we can use the same querying techniques to investigate AppService performance.

Azure 64
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Why enterprise CIOs need to plan for Microsoft gen AI

CIO

Microsoft CTO Kevin Scott compared the company’s Copilot stack to the LAMP stack of Linux, Apache, MySQL and PHP, enabling organizations to build at scale on the internet, and there’s clear enterprise interest in building solutions with these services. As in Q3 , demand for Microsoft’s AI services remains higher than available capacity.