Category: Compute

Exploring the effect of Topology Aware Hints on network traffic in Amazon Elastic Kubernetes Service

Topology Aware Hints (TAH) is a feature that available in Amazon EKS version 1.24. It’s intended to provide a mechanism that attempts to keep traffic closer to its origin within the same AZ on in another location. In this post, we’ll explore how this feature can be used with Amazon EKS, its effects on how traffic is routed between pods within an Amazon EKS cluster when using multiple AZs, and whether this functionality allows Amazon EKS customers to optimize the latency and inter-AZ data transfer costs in this architecture.

How Condé Nast modernized its container platform on Amazon Elastic Kubernetes Service

This post was co-written with Emily Atkinson, Senior Engineering Manager at Condé Nast. About Condé Nast Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. In 2014, Condé Nast started their journey in […]

How Sentra manages data workflows using Amazon EKS, Dagster, and Karpenter to maximize cost-efficiency with minimal operational overhead

By Yael Grossman Sr Compute Specialist Solutions Architect at AWS, Roei Jacobovich Software Engineer at Sentra Introduction In this post, we’ll illustrate how Sentra utilizes Amazon Elastic Kubernetes Service (Amazon EKS), AWS Fargate , EC2 Spot, Karpenter, and an open-source version of Dagster, a cloud-native orchestrator, to run efficient and scalable data processing workloads on […]

AWS Lambda for the containers developer

Introduction When building an application on AWS, one of the common decision points customers encounter is building on AWS Lambda versus building on a containers product like Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). To make this decision, there are many factors to consider such as cost, scaling properties, […]

Start Pods faster by prefetching images

Introduction Many AWS customers use Amazon Elastic Kubernetes Service (Amazon EKS) to run machine learning workloads. Containerization allows machine learning engineers to package and distribute models easily, while Kubernetes helps in deploying, scaling, and improving. When working with customers that run machine learning training jobs in Kubernetes, we ‘ve seen that as the data set […]

Enable continuous deployment based on semantic versioning using AWS App Runner

Introduction In this modern cloud era, customers automatically build, test, and deploy the new version of their application multiple times a day. This common scenario in the software development life cycle creates faster delivery of features, bug fixes, and other updates to end users. One key aspect of continuous deployment is semantic versioning, a system […]

Implement Amazon ECS Anywhere enhanced workload resilience in disconnected scenarios

Introduction Amazon Elastic Container Service (ECS) Anywhere is a feature of Amazon ECS that lets you run and manage container workloads on your infrastructure. This feature helps you meet compliance requirements and scale your business without sacrificing your on-premises investments. When extending Amazon ECS to customer-managed infrastructure, external instances are registered to a managed Amazon […]

Managing edge-aware Service Mesh with Amazon EKS for AWS Local Zones

Introduction In a previous post, Deploy geo-distributed Amazon EKS cluster on AWS Wavelength, we introduced how to extend Amazon Elastic Kubernetes Service (Amazon EKS) clusters closer to end-users for 5G network-connected applications. However, this exact pattern of using self-managed node groups also applies to AWS Local Zones, an infrastructure solution that brings AWS compute and […]

Tradeshift’s migration to Amazon EKS without downtime using Linkerd

This post was co-written by Ricardo Amato, Staff DevOps Engineer at Tradeshift, and Andreas Lindh, Specialist Solutions Architect, Containers at AWS. Introduction Tradeshift is a cloud-based business network and platform, which has run our applications in AWS using self-hosted Kubernetes for a number of years. In 2022, a decision was made to migrate from the […]

Using Windows Authentication with gMSA on Linux Containers on Amazon ECS

Introduction Today, we are announcing the availability of Credentials Fetcher integration with Amazon Elastic Container Service (Amazon ECS). This integration makes it easier for developers to implement Windows Authentication in Linux containers running on Amazon ECS using Microsoft Active Directory (AD) group Managed Service Account (gMSA). The Credentials Fetcher daemon allows containers running on Linux […]