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

AWS Machine Learning - AI

AWS provides a powerful set of tools and services that simplify the process of building and deploying generative AI applications, even for those with limited experience in frontend and backend development. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users.

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

AWS Machine Learning - AI

AWS offers powerful generative AI services , including Amazon Bedrock , which allows organizations to create tailored use cases such as AI chat-based assistants that give answers based on knowledge contained in the customers’ documents, and much more. The following figure illustrates the high-level design of the solution.

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

Kaseya

In addition, you can also take advantage of the reliability of multiple cloud data centers as well as responsive and customizable load balancing that evolves with your changing demands. In this blog, we’ll compare the three leading public cloud providers, namely Amazon Web Services (AWS), Microsoft Azure and Google Cloud.

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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. A VPC where you will deploy the solution.

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

Xebia

Visualization and AWS There are many paid options to dynamically visualize your AWS environment as a complete diagram. These diagrams serve as a briefing of your infrastructure, allowing a general picture of every provisioned part without swapping around services in the AWS console. Follow the installation procedure for your OS.

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Deploy a Clojure web application to AWS using Terraform

CircleCI

AWS account - Amazon Web Services provides on-demand computing platforms. Note: The infrastructure we are going to build will involve a small cost in standing up the AWS services we require. Create an AWS account & credentials. First, we need to sign up for an AWS account. AWS infrastructure using Terraform.

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Build, test, and deploy a Go application to AWS ECS

CircleCI

Create and configure an Amazon Elastic Load Balancer (ELB) and target group that will associate with our cluster’s ECS service. Configure CircleCI using the circleci/aws-ecr@6.2.0 Configure CircleCI using the circleci/aws-ecs@0.0.11 First things first, create and activate an AWS Account. EC2 instance type : t2.medium.

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