Remove Load Balancer Remove Policies Remove Serverless
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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

Architecting a multi-tenant generative AI environment on AWS A multi-tenant, generative AI solution for your enterprise needs to address the unique requirements of generative AI workloads and responsible AI governance while maintaining adherence to corporate policies, tenant and data isolation, access management, and cost control.

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

AWS Machine Learning - AI

Consider integrating Amazon Bedrock Guardrails to implement safeguards customized to your application requirements and responsible AI policies. Performance optimization The serverless architecture used in this post provides a scalable solution out of the box.

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Mastering AWS Infrastructure as Code with Pulumi and Python

Perficient

The goal is to deploy a highly available, scalable, and secure architecture with: Compute: EC2 instances with Auto Scaling and an Elastic Load Balancer. Implement Role-Based Access Control (RBAC): Use IAM roles and policies to restrict access. AWS Lambda : Serverless computing service for event-driven applications.

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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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Can VPC Lattice replace AWS Transit Gateway?

Xebia

This is a simple and often overlooked strategy that gives the best of both worlds: strict separation of IAM policies and cost attribution with simple inter-connection at the network level. This resembles a familiar concept from Elastic Load Balancing. IAM policies allow for fine-grained authorization at the API level.

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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.