Remove Architecture Remove Load Balancer Remove Serverless
article thumbnail

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.

article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Securing a Web Application with AWS Application Load Balancer

Stackery

Editor’s note: while we love serverless at Stackery, there are still some tasks that will require the use of a virtual machine. If you’re still using an Elastic Compute Cloud (EC2) Virtual Machine, enjoy this very useful tutorial on load balancing. The protocol between the load balancer and the instance is HTTP on port 80.

article thumbnail

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.

Firewall 240
article thumbnail

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

AWS Machine Learning - AI

The solution we explore consists of two main components: a Python application for the UI and an AWS deployment architecture for hosting and serving the application securely. The AWS deployment architecture makes sure the Python application is hosted and accessible from the internet to authenticated users. See the README.md

article thumbnail

AoAD2 Practice: Evolutionary System Architecture

James Shore

Evolutionary System Architecture. What about your system architecture? By system architecture, I mean all the components that make up your deployed system. Your network gateways and load balancers. When you do, you get evolutionary system architecture. 2 Is your architecture more complex than theirs?

article thumbnail

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).