Category: Amazon Elastic Kubernetes Service

In this post, we explore key considerations, best practices, and architectural decisions hosting applications on EKS in shared tenancy environments while maintaining PCI DSS compliance. Please note this information is for reference purposes only and does not constitute legal or compliance advice—customers remain responsible for making their own independent assessment, and AWS products or services are provided ‘as is’ without warranties, representations, or conditions of any kind.

In this post, we demonstrate how to use session policies to dynamically scope down IAM permissions for your Kubernetes pods without creating additional IAM roles, and discuss important considerations when adopting this feature.

This post demonstrates a real-world example of integrating EKS Hybrid Nodes with NVIDIA DGX Spark, a compact and energy-efficient GPU platform optimized for edge AI deployment. In this post we walk you through deploying a large language model (LLM) for low-latency generative AI inference on-premises, setting up node monitoring and GPU observability with centralized management through Amazon EKS.

This blog post focuses on ACK and kro capabilities. For a deep dive on Amazon EKS capability for Argo CD, check out Deep dive: Streamlining GitOps with Amazon EKS capability for Argo CD.

EKS hybrid nodes is a feature of Amazon Elastic Kubernetes Service (EKS) that allows you to use an EKS managed control plane with worker nodes that reside outside of the AWS cloud. In this blog post, we’ll explore how to run a Docker container that connects to an EKS cluster as a hybrid node.

In this post, we demonstrate a solution that uses Amazon Data Firehose to aggregate logs from the Amazon EKS control plane and data plane, and send them to Amazon Simple Storage Service (Amazon S3). Finally, we use Amazon Q Business and its Amazon S3 connector to synchronize the logs, index the log data in Amazon S3, and enable a chat experience powered by the generative AI capabilities of Amazon Q Business.

In this blog post, you will learn how to implement the elastic high-throughput file system using Amazon Elastic Kubernetes Service (Amazon EKS) and CNCF Fluid, set up efficient data caching mechanisms, and orchestrate training workflows using KubeRay.

This blog post dives deeper into optimizing Amazon EKS Auto Mode clusters using AWS Graviton and Amazon EC2 Spot instances. AWS customers adopt AWS Graviton instances to achieve up to 40% higher price-performance ratio and up to 60% less energy to meet their sustainability goals. Additionally, AWS customers use Amazon EC2 Spot instances for eligible workloads to save up to 90% on Amazon Elastic Compute Cloud (Amazon EC2) On-Demand costs.

In this blog post, we show how to create and manage a fleet of Amazon Elastic Kubernetes Service (Amazon EKS) clusters using Kube Resource Orchestrator (kro), AWS Controllers for Kubernetes (ACK), and Argo CD. These tools allow you to implement a GitOps-based cluster management solution to increase productivity and improve consistency and standardization by using the Kubernetes API for end-to-end operations.

In this post, we walk you through building an end-to-end recovery system, showing you how to configure traffic shifting that protects your applications from Availability Zone impairments while maintaining the high availability that your business demands.