Category: Amazon Elastic Kubernetes Service

ReadyOn runs a multi-tenant platform on Amazon EKS that handles highly sensitive enterprise data. This post describes their Four Walls model: four independent layers of tenant isolation combining Kubernetes namespaces, Karpenter node pools, Amazon VPC security groups, and per-tenant Amazon Aurora databases for zero-trust defense in depth.

Equinix, the world’s digital infrastructure company, built a shared services architecture on Amazon EKS to eliminate the operational sprawl of its self-managed Kubernetes environment. Learn how a multi-account North Star architecture centralized governance and shared services, delivering 4x faster deployments and 40% less operational overhead.

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.

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

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.

In this post, you’ll learn how AWS DevOps Agent integrates with your existing observability stack to provide intelligent, automated responses to system events.

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.

This blog post examines how Salesforce, operating one of the world’s largest Kubernetes deployments, successfully migrated from Cluster Autoscaler to Karpenter across their fleet of 1,000 plus Amazon Elastic Kubernetes Service (Amazon EKS) clusters.

In this post, we walk through building a generative AI–powered troubleshooting assistant for Kubernetes. The goal is to give engineers a faster, self-service way to diagnose and resolve cluster issues, cut down Mean Time to Recovery (MTTR), and reduce the cycles experts spend finding the root cause of issues in complex distributed systems.

This post was co-written with Frederic Haase and Julian Blau with BASF Digital Farming GmbH. At xarvio – BASF Digital Farming, our mission is to empower farmers around the world with cutting-edge digital agronomic decision-making tools. Central to this mission is our crop optimization platform, xarvio FIELD MANAGER, which delivers actionable insights through a range […]