Remove Load Balancer Remove Resources Remove Serverless
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Koyeb is a serverless platform that integrates with your GitHub repository

TechCrunch

The company is still focused on serverless infrastructure. But it now offers a general purpose serverless platform that you can configure through a simple “git push” command or by using Docker containers. If you need more resources, you can easily scale your app from a slider.

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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. Clean up To avoid incurring additional charges, clean up the resources created during this demo: Open the terminal in your development environment. You can choose it randomly, and it must be kept secret. See the README.md

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

API Gateway is serverless and hence automatically scales with traffic. Load balancer – Another option is to use a load balancer that exposes an HTTPS endpoint and routes the request to the orchestrator. You can use AWS services such as Application Load Balancer to implement this approach.

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

TechCrunch

An open source package that grew into a distributed platform, Ngrok aims to collapse various networking technologies into a unified layer, letting developers deliver apps the same way regardless of whether they’re deployed to the public cloud, serverless platforms, their own data center or internet of things devices.

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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

That’s where the new Amazon EMR Serverless application integration in Amazon SageMaker Studio can help. In this post, we demonstrate how to leverage the new EMR Serverless integration with SageMaker Studio to streamline your data processing and machine learning workflows.

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How to Deploy Tomcat App using AWS ECS Fargate with Load Balancer

Perficient

Fargate: AWS Fargate, which is a serverless infrastructure that AWS administers, Amazon EC2 instances that you control, on-premises servers, or virtual machines (VMs) that you manage remotely are all options for providing the infrastructure capacity. Before that let’s create a load balancer by performing the following steps.

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

AWS Machine Learning - AI

An AWS account and an AWS Identity and Access Management (IAM) principal with sufficient permissions to create and manage the resources needed for this application. Google Chat apps are extensions that bring external services and resources directly into the Google Chat environment.