Category: Amazon Elastic Kubernetes Service

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 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 […]

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 […]

Introduction The Amazon Elastic Kubernetes Service (Amazon EKS) team is pleased to announce support for Kubernetes version 1.26 for Amazon EKS and Amazon EKS Distro. Amazon EKS Anywhere (release 0.15.1) also supports Kubernetes 1.26. The theme for this version was chosen to recognize both the diverse components that the project comprises and the individuals who […]

Introduction This is Part 3 in a series of blogs that demonstrates how to build an extensible and flexible GitOps system, based on a hub-and-spoke model to manage the lifecycles of Amazon Elastic Kubernetes Service (Amazon EKS) clusters, applications deployed to these clusters as well as their dependencies on other AWS managed resources. It’s recommended […]

Introduction This is Part 2 in a series that demonstrates how to build an extensible and flexible GitOps system, based on a hub-and-spoke model to manage the lifecycles of Amazon Elastic Kubernetes Service (Amazon EKS) clusters, workloads deployed to these clusters as well as their dependencies on other AWS-managed resources. It’s recommended that you read Part […]

Introduction GitOps is a way of managing application and infrastructure deployment so that the whole system is described declaratively in a Git repository. It’s an operational model that offers you the ability to manage the state of multiple Kubernetes clusters using the best practices of version control, immutable artifacts, and automation. Organizations have adopted GitOps […]

Introduction Today, AWS announces the general availability of Amazon VPC Lattice a new feature of Amazon Virtual Private Cloud (Amazon VPC) that gives you a consistent way to connect, secure, and monitor communication between your services. As part of the launch of Amazon VPC Lattice, we’re excited to introduce the AWS Gateway API controller, an […]

Introduction AWS customers building cloud-native applications or modernizing applications using microservices architecture can adopt Amazon Elastic Kubernetes Service (Amazon EKS) to accelerate innovation and time to market while lowering their total cost of ownership. Many customers operate multiple Amazon EKS clusters to provide better tenant isolation and to meet organizational requirements. Often, there’s a need […]

Introduction We are thrilled to introduce Data on EKS (DoEKS), a new open-source project aimed at streamlining and accelerating the process of building, deploying, and scaling data workloads on Amazon Elastic Kubernetes Service (Amazon EKS). With DoEKS, customers get access to a comprehensive range of resources including Infrastructure as Code (IaC) templates, performance benchmark reports, […]