AWS Architecture Blog
Category: Compute
How ALS GeoAnalytics LITHOLENS ™ revolutionizes core logging through machine learning with Amazon EKS
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.
How Synthesia optimizes generative AI video inference on Amazon EC2 G7e instances
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.
Building hybrid multi-tenant architecture for stateful services on AWS
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.
Deloitte optimizes EKS environment provisioning and achieves 89% faster testing environments using Amazon EKS and vCluster
In this post, we explore how Deloitte used Amazon EKS and vCluster to transform their testing infrastructure.
PACIFIC enables multi-tenant, sovereign product carbon footprint exchange on the Catena-X data space using AWS
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.
Build a multi-tenant configuration system with tagged storage patterns
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.
How Generali Malaysia optimizes operations with Amazon EKS
In this post, we look at how Generali is using Amazon EKS Auto Mode and its integration with other AWS services to enhance performance while reducing operational overhead, optimizing costs, and enhancing security.
AI-powered event response for Amazon EKS
In this post, you’ll learn how AWS DevOps Agent integrates with your existing observability stack to provide intelligent, automated responses to system events.
Digital Transformation at Santander: How Platform Engineering is Revolutionizing Cloud Infrastructure
Santander faced a significant technical challenge in managing an infrastructure that processes billions of daily transactions across more than 200 critical systems. The solution emerged through an innovative platform engineering initiative called Catalyst, which transformed the bank’s cloud infrastructure and development management. This post analyzes the main cases, benefits, and results obtained with this initiative.
6,000 AWS accounts, three people, one platform: Lessons learned
This post describes why ProGlove chose a account-per-tenant approach for our serverless SaaS architecture and how it changes the operational model. It covers the challenges you need to anticipate around automation, observability and cost. We will also discuss how the approach can affect other operational models in different environments like an enterprise context.









