AWS Compute Blog

Tag: Kubernetes

Updates to Amazon EKS Version Lifecycle

Contributed by Nathan Taber and Michael Hausenblas At re:Invent 2017 we introduced the Amazon Elastic Container Service for Kubernetes, or Amazon EKS for short. We consider these tenets as valid today as they were at launch: EKS is a platform to run production-grade workloads. This means that security and reliability are our first priority. After that we […]

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Making Cluster Updates Easy with Amazon EKS

Kubernetes is rapidly evolving, with frequent feature releases, functionality updates, and bug fixes. Additionally, AWS periodically changes the way it configures Amazon Elastic Container Service for Kubernetes (Amazon EKS) to improve performance, support bug fixes, and enable new functionality. Previously, moving to a new Kubernetes version required you to re-create your cluster and migrate your […]

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Run your Kubernetes Workloads on Amazon EC2 Spot Instances with Amazon EKS

Contributed by Madhuri Peri, Sr. EC2 Spot Specialist SA, and Shawn OConnor, AWS Enterprise Solutions Architect Many organizations today are using containers to package source code and dependencies into lightweight, immutable artifacts that can be deployed reliably to any environment. Kubernetes (K8s) is an open-source framework for automated scheduling and management of containerized workloads. In […]

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Running GPU-Accelerated Kubernetes Workloads on P3 and P2 EC2 Instances with Amazon EKS

This post contributed by Scott Malkie, AWS Solutions Architect Amazon EC2 P3 and P2 instances, featuring NVIDIA GPUs, power some of the most computationally advanced workloads today, including machine learning (ML), high performance computing (HPC), financial analytics, and video transcoding. Now Amazon Elastic Container Service for Kubernetes (Amazon EKS) supports P3 and P2 instances, making […]

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Application Tracing on Kubernetes with AWS X-Ray

This post was contributed by Christoph Kassen, AWS Solutions Architect With the emergence of microservices architectures, the number of services that are part of a web application has increased a lot. It’s not unusual anymore to build and operate hundreds of separate microservices, all as part of the same application. Think of a typical e-commerce […]

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The re:Invent 2017 Containers After-party Guide

Feeling uncontainable? re:Invent 2017 might be over, but the containers party doesn’t have to stop. Here are some ways you can keep learning about containers on AWS. Learn about containers in Austin and New York Come join AWS this week at KubeCon in Austin, Texas! We’ll be sharing best practices for running Kubernetes on AWS […]

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Manage Kubernetes Clusters on AWS Using CoreOS Tectonic

There are multiple ways to run a Kubernetes cluster on Amazon Web Services (AWS). The first post in this series explained how to manage a Kubernetes cluster on AWS using kops. This second post explains how to manage a Kubernetes cluster on AWS using CoreOS Tectonic. Tectonic overview Tectonic delivers the most current upstream version of Kubernetes […]

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Manage Kubernetes Clusters on AWS Using Kops

Any containerized application typically consists of multiple containers. There are containers for the application itself, a database, possibly a web server, and so on. During development, it’s normal to build and test this multi-container application on a single host. This approach works fine during early dev and test cycles but becomes a single point of […]

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