Category: Amazon Elastic Kubernetes Service

This post was coauthored by Christos Skevis, Senior Engineering Manager, Delivery Hero; Giovanny Salazar, Senior Systems Engineer, Delivery Hero; Miguel Mingorance, Senior Systems Engineer at Delivery Hero at the time the blog post was written; Cristian Măgherușan-Stanciu, Senior Specialist Solutions Architect, Flexible Compute, AWS; and Sascha Möllering, Principal Specialist Solutions Architect, Containers, AWS. This post […]

AWS customers have a number of options they can use to deploy Amazon Elastic Kubernetes Service (Amazon EKS) clusters. They can use the EKS console workflows, the eksctl CLI, the AWS Cloud Development Kit (AWS CDK), or several other options. There is often a single Ops-savvy user (or team) picking one of these options to […]

This post was coauthored by David Peer, DevOps Specialist, AI Engineering, Mobileye and Tsahi Duek, Specialist Solutions Architect for AWS Container services. This blog post reviews how Mobileye’s AI Engineering Group seamlessly runs their workflows on Amazon Elastic Kubernetes Service (Amazon EKS), supporting around 250 workflows daily. What is Mobileye? Mobileye develops self-driving technology and […]

The interest in Kubernetes spiked in the fall of 2019, according to Google Trends. The US Department of Defense’s announcement that they had deployed Kubernetes on an F-16 could have attributed to the surge in interest. Today, Kubernetes is found in virtually every industry; from building Blockchain networks to 5G networks, customers use Kubernetes to […]

Amazon Elastic Kubernetes Service (Amazon EKS) is a managed service that you can use to run Kubernetes on AWS without needing to install, operate, and maintain your own Kubernetes control plane or nodes. When running containerized workloads on Amazon EKS, it is common to store the stateful parts of the application outside of the Kubernetes […]

Many AWS customers use Amazon Elastic Kubernetes Service (Amazon EKS) to run container workloads on AWS Fargate because it offers reduced operational complexity with right-sized, on-demand compute for containers. As customers scale their deployments on Fargate, they have expressed a need to track consumption with more specificity, such as usage from individual pods, namespaces, clusters, […]

This post was co-written by Mark Taylor, OpenShift Systems Engineer, IBM Consulting; Ian Packer, Chief AWS Architect, IBM Consulting; and Arnaud Lauer, Partner Solutions Architect, AWS. Customers are putting greater focus on portability as part of their strategies when adopting cloud computing. Red Hat OpenShift Service on AWS (ROSA) platform provides an agile and flexible […]

Red Hat OpenShift Service on AWS (ROSA) is a fully managed OpenShift service, jointly supported by both Red Hat and Amazon Web Services (AWS) and managed by the Red Hat SRE team. This relieves customers of cluster lifecycle management, allowing them to focus on building applications rather than maintaining the OpenShift clusters. ROSA has recently […]

AWS Controllers for Kubernetes (ACK) is an open-source project that allows you to define and create AWS resources directly from within OpenShift. Using ACK, you can take advantage of AWS-managed services to complement the application workloads running in OpenShift without needing to define resources outside of the cluster or run services that provide supporting capabilities like […]

This blog provides a step-by-step guide on how to monitor your containerized workload running on Amazon EKS Anywhere by publishing metrics to Amazon Managed Service for Prometheus and using Amazon Managed Grafana to visualize. Amazon EKS Anywhere is a deployment option for Amazon EKS that enables you to easily create and operate Kubernetes clusters on a customer-managed […]