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

AWS Machine Learning - AI

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. The custom header value is a security token that CloudFront uses to authenticate on the load balancer. See the README.md

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Patroni 3.0 & Citus: Scalable, Highly Available Postgres

The Citus Data

Citus is a PostgreSQL extension that makes PostgreSQL scalable by transparently distributing and/or replicating tables across one or more PostgreSQL nodes. done Creating demo-work1-2. done Creating demo-coord2. done Creating demo-coord3. done Creating demo-work1-1. done Creating demo-etcd2. 1 ( Debian 15.

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Ngrok, a service to help devs deploy sites, services and apps, raises $50M

TechCrunch

Effectively, Ngrok adds connectivity, security and observability features to existing apps without requiring any code changes, including features like load balancing and encryption. With Ngrok, developers can deploy or test apps against a development backend, building demo websites without having to deploy them.

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

Kaseya

The public cloud infrastructure is heavily based on virtualization technologies to provide efficient, scalable computing power and storage. Cloud adoption also provides businesses with flexibility and scalability by not restricting them to the physical limitations of on-premises servers. Scalability and Elasticity.

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Citus 11 for Postgres goes fully open source, with query from any node

The Citus Data

is a new major release, which means that it comes with some very exciting new features that enable new levels of scalability. You still do your DDL commands and cluster administration via the coordinator but can choose to load balance heavy distributed query workloads across worker nodes. Citus 11.0 Figure 2: A Citus 11.0

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

AWS Machine Learning - AI

Although we previously demonstrated a usage scenario that involves a direct chat with the Amazon Bedrock application, you can also invoke the application from within a Google chat space, as illustrated in the following demo. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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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. It enables developers to deploy and manage scalable applications that run on groups of servers, called clusters, through application programming interface (API) calls and task definitions.

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