The Amazon EKS Auto Mode workshop offers hands-on training for deploying workloads using Amazon Elastic Kubernetes Service (EKS) Auto Mode, which simplifies Kubernetes operations on AWS. Participants will learn to enable Auto Mode, deploy applications, and manage upgrades while gaining insights into migrating existing workloads. The workshop is designed for users with a basic understanding of Kubernetes and is accessible through AWS accounts or hosted events.

Amazon EKS has announced support for ultra scale clusters with up to 100,000 nodes, enabling significant advancements in artificial intelligence and machine learning workloads. The enhancements include architectural improvements and optimizations in the etcd data store, API servers, and overall cluster management, allowing for better performance, scalability, and reliability for AI/ML applications.

Automating incident response for Amazon EKS on Amazon EC2 is crucial for minimizing the impact of security events. The article outlines the differences between EC2 and EKS resources, emphasizes the use of automated solutions for incident response, and provides guidance on capturing forensic evidence and isolating compromised resources to enhance security protocols.

Amazon EKS has launched a new catalog of community add-ons, allowing users to easily find, configure, and manage popular open-source Kubernetes tools like metrics-server and cert-manager. Each add-on is packaged and validated for compatibility, with secure hosting in EKS's private Amazon ECR. This feature enhances the management experience by integrating AWS, AWS Marketplace, and community add-ons directly through various EKS interfaces.

Migrating Kubernetes clusters to Amazon EKS involves assessment, mobilization, and modernization phases, with cost estimation being a key challenge. Karpenter, an open-source autoscaler, and KWOK, a toolkit for simulating Kubernetes nodes, can help organizations optimize resource provisioning and estimate costs during this process without incurring actual infrastructure expenses. The article describes a method to simulate migrations and analyze Karpenter’s provisioning decisions to facilitate accurate cost estimations.