Category: Containers

Introduction In 2014, AWS announced Amazon Elastic Container Service (Amazon ECS), a fully managed service that helps you orchestrate, deploy, and scale containerized applications. Although Amazon ECS serves a wide variety of customers from different segments, sizes, and verticals, there are cases where the applications need to run locally. For example, this often occurs in […]

Introduction HardenEKS is an open source Python-based Command Line Interface (CLI). We created HardenEKS to make it easier to programmatically validate if an Amazon Elastic Kubernetes Service (Amazon EKS)  cluster follows best practices defined in AWS’ EKS Best Practices Guide (EBPG). The EBPG is an essential resource for Amazon EKS operators who seek easier Day […]

Introduction The Amazon Elastic Kubernetes Service (Amazon EKS) team is pleased to announce support for Kubernetes version 1.27 for Amazon EKS and Amazon EKS Distro. Amazon EKS Anywhere (release 0.16.0) also supports Kubernetes 1.27. The theme for this version was chosen to recognize the fact that the release was pretty chill. Hence, the fitting release […]

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.

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]