Category: Amazon Elastic Kubernetes Service

This post explores how to implement progressive delivery using Amazon VPC Lattice, Amazon CloudWatch Synthetics, and Argo Rollouts for canary deployments in Amazon EKS environments. The solution enables gradual traffic shifting between service versions, real-time health monitoring through synthetic tests, and automated rollbacks if issues are detected, providing a comprehensive approach to safe and reliable application updates.

This post guides readers through integrating Tailscale with Amazon EKS Hybrid Nodes to simplify and secure network connectivity between on-premises infrastructure and AWS. The integration enables encrypted point-to-point connections using the WireGuard protocol, creating a peer-to-peer mesh network that streamlines the network architecture needed for EKS Hybrid Nodes.

Organizations are increasingly adopting IPv6 for their Amazon Elastic Kubernetes Service (Amazon EKS) deployments, driven by three key factors: depletion of private IPv4 addresses, the need to streamline or eliminate overlay networks, and improved network security requirements on Amazon Web Services (AWS). In IPv6-enabled EKS clusters, each pod receives a unique IPv6 address from the […]

In this post, we dive deep into cluster networking configurations for Amazon EKS Hybrid Nodes, exploring different Container Network Interface (CNI) options and load balancing solutions to meet various networking requirements. The post demonstrates how to implement BGP routing with Cilium CNI, static routing with Calico CNI, and set up both on-premises load balancing using MetalLB and external load balancing using AWS Load Balancer Controller.

This post was co-authored by Shyam Jeedigunta, Principal Engineer, Amazon EKS; Apoorva Kulkarni, Sr. Specialist Solutions Architect, Containers and Raghav Tripathi, Sr. Software Dev Manager, Amazon EKS. Today, Amazon Elastic Kubernetes Service (Amazon EKS) announced support for clusters with up to 100,000 nodes. With Amazon EC2’s new generation accelerated computing instance types, this translates to […]

We’re excited to announce that Amazon Elastic Kubernetes Service (Amazon EKS) now supports up to 100,000 worker nodes in a single cluster, enabling customers to scale up to 1.6 million AWS Trainium accelerators or 800K NVIDIA GPUs to train and run the largest AI/ML models. This capability empowers customers to pursue their most ambitious AI […]

This post was co-authored by Ashok Srirama, Principal Container Specialist SA and George John, Senior Product Manager EKS.  Introduction Today, we’re excited to announce a significant enhancement to Amazon EKS Pod Identity –streamlined cross-account access for Kubernetes applications. This new feature simplifies the process of granting pods permission to access AWS resources in other accounts. […]

This post was co-authored with Chad Chapman of NVIDIA. Introduction In the fast-paced world of artificial intelligence and machine learning, GPU resources are both critical and in high demand. In this blog, we will cover key challenges related to GPU utilization in Artificial Intelligence and Machine Learning applications, and how NVIDIA Run:ai fractional GPU technology […]

This blog post was jointly authored by Carlos Santana, Sr. Solution Architect, Containers; Sriram Ranganathan, Sr. Product Manager, Kubernetes; Sabari Sawant, Product Marketing Manager, Kubernetes; and Frank Carta, Sr. GTM specialist, Containers. As organizations grow their Kubernetes infrastructure across AWS Regions and accounts, they face increasing challenges in maintaining oversight of their Kubernetes clusters. Without […]

This blog post was jointly authored by Vara Bonthu, Principal OSS Specialist Solutions Architect and Omri Shiv, Senior Open Source ML Engineer Introduction We’re excited to announce the launch of AI on EKS: a new open source initiative from Amazon Web Services (AWS) designed to help customers deploy, scale, and optimize artificial intelligence/machine learning (AI/ML) […]