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Build and deploy a UI for your generative AI applications with AWS and Python

AWS Machine Learning - AI

The custom header value is a security token that CloudFront uses to authenticate on the load balancer. Choose a different stack name for each application. For your first application, you can leave the default value. You can choose it randomly, and it must be kept secret. This deployment is intended as a starting point and a demo.

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F5 Delivers on NGINX One Platform Promise

DevOps.com

F5 this week made generally available an integrated application networking platform that centralizes the management of load balancing, web and application servers, application programming interface (API) gateways and cybersecurity.

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Mastering AWS Infrastructure as Code with Pulumi and Python

Perficient

Pulumi is a modern Infrastructure as Code (IaC) tool that allows you to define, deploy, and manage cloud infrastructure using general-purpose programming languages. The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic Load Balancer.

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Using Generative AI to Build Generative AI

O'Reilly Media - Ideas

You can move the slider forward and backward to see how this code runs step-by-step: AI Chat for Python Tutors Code Visualizer Way back in 2009 when I was a grad student, I envisioned creating Python Tutor to be an automated tutor that could help students with programming questions (which is why I chose that project name).

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How to Use Python Programming: Top Python Use Cases and Applications in the Real World

Mobilunity

Introduction Python is a general-purpose, high-level, interpreted programming language that has not only maintained its popularity ever since its foundation in 1991 but also set records among all coding languages. So, what’s the secret sauce of this programming language and how is Python used in the real world?

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Broadcom Pinnacle Partners: Guiding enterprises throughout their cloud journeys

CIO

The Broadcom Expert Advantage Partner Program reflects the resulting commitment to simplify what is needed to create an optimal VMware Cloud Foundation cloud environment at scale, regardless of whether an organization is just embarking on its cloud journey or perfecting a sophisticated cloud environment.

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Tutorial 4 – Microservices – Discovery Client, LoadBalancer Client and Feign Client.

Perficient

Load Balancer Client Component (Good, Perform Load Balancing). Feign Client Component (Best, Support All Approached, and Load Balancing). However, we desire one instance of the target microservice (producer microservice) that has a lower load factor. Load balancing is not feasible].