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

AWS Machine Learning - AI

The emergence of generative AI has ushered in a new era of possibilities, enabling the creation of human-like text, images, code, and more. Solution overview For this solution, you deploy a demo application that provides a clean and intuitive UI for interacting with a generative AI model, as illustrated in the following screenshot.

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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. For instructions, refer to How do I integrate IAM Identity Center with an Amazon Cognito user pool and the associated demo video. Review all the steps and create the application.

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Top 10 Most Popular Hands-On Labs

Linux Academy

Setting Up an Application Load Balancer with an Auto Scaling Group and Route 53 in AWS. In this hands-on lab, you will set up an Application Load Balancer with an Auto Scaling group and Route 53 to make our website highly available to all of our users. First, you will create and configure an Application Load Balancer.

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AWS Open Source Observability: Visualization and Security Auditing with CloudMapper (Part 1)

Xebia

They are often the adequate choice for corporate production environments due to several reasons: Tested, business reliable software, and updated to customer expectations. CloudMapper – demo Let’s get into action and try the tool. Also, you can see that the load balancers are exposed to the Internet.

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AWS vs. Azure vs. Google Cloud: Comparing Cloud Platforms

Kaseya

A cloud service provider generally establishes public cloud platforms, manages private cloud platforms and/or offers on-demand cloud computing services such as: Infrastructure-as-a-Service (IaaS) Software-as-a-Service (SaaS) Platform-as-a-Service (PaaS) Disaster Recovery-as-a-Service (DRaaS). What Is a Public Cloud? Greater Security.

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Scaling BGP Peering in Kentik's SaaS Environment

Kentik

This offered us greater stability and, due to hashes having higher entropy than IPs, uniform-enough distribution. Persist all the states in our configuration management code tree. Simplify day-to-day operations such as adding a node, removing a node, and code deploys — and keep all these operations transparent to customers.

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Deploy Django apps to AWS Elastic Beanstalk

CircleCI

Your software development team has an enormous number of tools available to them. You simply upload your application, and Elastic Beanstalk automatically handles the details of capacity provisioning, load balancing, scaling, and application health monitoring. Cloning the demo project. Reviewing the deployment strategy.

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