AWS Architecture Blog

This post explores how ALS GeoAnalytics successfully deployed LITHOLENS ™ with Amazon Elastic Kubernetes Service (Amazon EKS) to scale model training and inference while minimizing cost.

This post introduces a video decoding optimization technique that we have ideated in collaboration with Synthesia Research Engineering team, which we call Asynchronous Frame Generation Pipeline. Adopting this technique allows you to overlap GPU compute, device-to-host (D2H) data transfer, and host-side post-processing. In this post, we apply this technique to the VAE decoder of a Wan video generation model as an example, where our benchmarks on G7e show increased GPU kernel utilization from 82% to 99.9%, in turn leading to an 8.2% decrease in latency (and increase in throughput) for video decoding. We expect this technique to benefit any customer with a chunked video generation pipeline that transfers frames to host memory.

In this post, we demonstrate an approach we used to address this challenge for a customer by implementing an AWS Lambda transformation function that streams Amazon CloudWatch metrics directly to internal OpenTelemetry collectors running within a VPC.

In this post, we show you how to build a hybrid multi-tenant architecture that provides strong tenant isolation without requiring per-tenant AWS accounts. You learn how to configure Route 53 weighted routing to distribute traffic across multiple accounts, deploy Application Load Balancer listener rules for tenant-specific routing, create dedicated ECS clusters per tenant, and establish AWS PrivateLink connectivity to shared dependencies.

Organizations face critical architectural decisions that can impact their operations for years to come such as: Is it better to maintain a single organization or implement multiple organizations? In this post, I explain the key advantages and disadvantages of both approaches and the scenarios where each model fits best.

In this post, we explore how Deloitte used Amazon EKS and vCluster to transform their testing infrastructure.

This post extends IBM’s approach to real-time KYC validation using generative AI, as previously discussed in the post IBM Digital KYC on AWS uses Generative AI to transform Client Onboarding and KYC Operations. It transforms compliance operations through autonomous decision-making and intelligent automation using agentic AI, event-driven architecture, and AWS serverless services. The solution addresses the fundamental limitations of traditional rule-based systems. It provides autonomous decision-making, dynamic adaptation, and intelligent automation that transforms compliance operations.

This post explores how PACIFIC enables multi-tenant, sovereign PCF exchange on the Catena-X data space using Amazon Elastic Container Service (Amazon ECS) on AWS Fargate, Amazon Cognito, and AWS Identity and Access Management (IAM) to deliver measurable environmental impact and competitive advantage in a carbon-conscious marketplace.

This post explores how Oldcastle used AWS services to transform their analytics and AI capabilities by integrating Infor ERP with Amazon Aurora and Amazon Quick Sight. We discuss how they overcame the limitations of traditional cloud ERP reporting to deploy real-time dashboards and build a scalable analytics system. This practical, enterprise-grade approach offers a blueprint that organizations can adapt when extending ERP capabilities with cloud-native analytics and AI.

In this post, we demonstrate how you can build a scalable, multi-tenant configuration service using the tagged storage pattern, an architectural approach that uses key prefixes (like tenant_config_ or param_config_) to automatically route configuration requests to the most appropriate AWS storage service. This pattern maintains strict tenant isolation and supports real-time, zero-downtime configuration updates through event-driven architecture, alleviating the cache staleness problem.