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

AWS Machine Learning - AI

You can download Python from the official website or use your Linux distribution’s package manager. The custom header value is a security token that CloudFront uses to authenticate on the load balancer. The AWS Command Line Interface (AWS CLI). Choose a different stack name for each application. See the README.md

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Creating Your Own Serverless Cloud with Fn Project

Gorilla Logic

In this Fn Project tutorial, you will learn the basic features of Fn Project by creating a serverless cloud and installing it on your own infrastructure. This will illustrate some of the most useful concepts of Fn Project and help you get familiarized with this lightweight and simple serverless platform. . What is Serverless? .

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Are Cloud Serverless Functions Exposing Your Data?

Prisma Clud

More than 25% of all publicly accessible serverless functions have access to sensitive data , as seen in internal research. The question then becomes, Are cloud serverless functions exposing your data? Security Risks of Serverless as a Perimeter Choosing the right serverless offering entails operational and security considerations.

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Build RAG-based generative AI applications in AWS using Amazon FSx for NetApp ONTAP with Amazon Bedrock

AWS Machine Learning - AI

Our solution uses an FSx for ONTAP file system as the source of unstructured data and continuously populates an Amazon OpenSearch Serverless vector database with the user’s existing files and folders and associated metadata. The chatbot application container is built using Streamli t and fronted by an AWS Application Load Balancer (ALB).

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Deploy a serverless workload on Kubernetes using Knative and ArgoCD

CircleCI

Creating a pipeline to continuously deploy your serverless workload on a Kubernetes cluster. The serverless approach to computing can be an effective way to solve this problem. Serverless allows running event-driven functions by abstracting the underlying infrastructure. This tutorial covers: Setting up Knative and ArgoCD.

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The Rise of Managed Services for Apache Kafka

Confluent

Moreover, to create a VPC, the user must own the compute and network resources (another aspect of a hosted solution) and ultimately prove that the service doesn’t follow serverless computing model principles. Serverless computing model. In other words, Confluent Cloud is a truly serverless service for Apache Kafka.

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The Good and the Bad of Docker Containers

Altexsoft

You can also run your own private registry to store commercial and proprietary images and to eliminate the overhead associated with downloading images over the Internet. The Docker daemon downloads images from the registries using the docker pull request. Then deploy the containers and load balance them to see the performance.