Category: Amazon Elastic Kubernetes Service

Amazon Elastic Kubernetes Service (Amazon EKS) makes it easy to deploy, manage, and scale containerized applications using Kubernetes. Okta is an API service that allows developers to create, edit, and securely store user accounts and user account data and connect them with one or multiple applications. Okta helps you provide access to the AWS Management […]

This post was contributed by Yuling Zhou, Eduardo Lopez Biagi, and Paavan Mistry. Today, we introduced server-side encryption of ephemeral storage in AWS Fargate platform version 1.4. The ephemeral task storage is automatically encrypted with industry-standard AES-256 encryption algorithm using AWS Fargate-managed keys for the updated platform version. This feature requires no additional configuration from […]

Containers are a method of operating system virtualization that allow you to run an application and its dependencies in resource-isolated processes. Containers allow you to easily package an application’s code, configurations, and dependencies into easy-to-use building blocks that deliver environmental consistency, operational efficiency, developer productivity, and version control. Using Windows containers allows you to get […]

This blog post is deprecated and the solution is no longer valid. Please refer to the new solution that uses CSI Driver posted in the following blog post: Using SMB CSI Driver on Amazon EKS Windows nodes. Recently, we published a blog post on using Amazon FSx for Windows File Server as persistent storage for […]

Authors: Simon Woldemichael, Associate Solutions Architect, WWPS Solution Architecture Josh Jiang, Associate Cloud Developer, Professional Services Shared Delivery Teams Learning Level: 300 Controlling resource deployments in your Kubernetes cluster can become a difficult challenge. For instance, pushing changes to a production environment can run the risk of installing an incompatible package or vulnerable dependency that […]

We recently announced an updated Amazon EKS console experience to create clusters, management, and supporting documentation. In this blog post, we dive into the updates we have made and how they aim to help our customers and cluster administrators when creating clusters using the Amazon EKS console. 1. Multi-step cluster create flow EKS now includes […]

At AWS, we’ve seen customers rapidly adopt Kubernetes to deploy applications globally, train machine learning models at scale, and standardize how they deliver innovation across data centers and the cloud. Using Kubernetes, customers are building automated tooling to replace manual processes, implementing operational pipelines for every piece of their infrastructure, and empowering development teams with […]

Imaya Kumar Jagannathan, Justin Gu, Marc Chéné, and Michael Hausenblas Update 2020-09-08: The feature described in this post is now in GA, see details in the Amazon CloudWatch now monitors Prometheus metrics from Container environments What’s New item. Earlier this week we announced the public beta support for monitoring Prometheus metrics in CloudWatch Container Insights. […]

Introduction Kubernetes enables machine learning teams to run training jobs distributed across fleets of powerful GPU instances like Amazon EC2 P3, reducing training time from days to hours. However, distributed training comes with limitations compared to the more traditional microservice based applications typically associated with Kubernetes. Distributed training jobs are not fault tolerant, and a […]

Apache Spark is an open source project that has achieved wide popularity in the analytical space. It is used by well-known big data and machine learning workloads such as streaming, processing wide array of datasets, and ETL, to name a few. Kubernetes is a popular open source container management system that provides basic mechanisms for […]