Tag: Amazon EKS

As of January 16, we have announced the pricing for extended support for Kubernetes versions. To learn more please refer to our blog post.  Introduction Today, we’re announcing the preview of Amazon Elastic Kubernetes Service (EKS) extended support for Kubernetes versions. You can now run Amazon EKS clusters on a Kubernetes version for up to […]

Introduction In the ever-changing landscape of cloud computing, organizations continue to face the challenge of effectively managing their virtual network environments. To address this challenge, many organizations have embraced shared Amazon virtual private clouds (VPCs) as a means to streamline network administration, and reduce costs. Shared VPCs not only provide these advantages but also enable […]

Introduction The Amazon Elastic Kubernetes Service (Amazon EKS) team is pleased to announce support for Kubernetes version 1.28 for Amazon EKS and Amazon EKS Distro. Amazon EKS Anywhere (release 0.18.0) also supports Kubernetes 1.28. The theme for this version was chosen as a play on words that combines plant and Kubernetes to evoke the image […]

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) add-ons were originally introduced in December 2021. At launch, they provided a mechanism for installing and managing a curated set of add-ons for Amazon EKS clusters. The add-on for CoreDNS was amongst the first add-ons we released because DNS plays such a pivotal role in Kubernetes. When advanced […]

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) has gained significant popularity as a managed Kubernetes service, providing a scalable and reliable platform for running containerized applications. Behind the scenes, Amazon EKS uses etcd, a distributed key-value store, to store cluster configuration, state, and metadata. In this post, we delve into the defragmentation functionality in etcd and discuss the […]

In today’s fast-paced technological landscape, the demand for accelerated computing is skyrocketing, particularly in areas like artificial intelligence (AI) and machine learning (ML). One of the primary challenges the enterprises face is the efficient utilization of computational resources, particularly when it comes to GPU acceleration, which is crucial for ML tasks and general AI workloads. […]

With the Generative Artificial intelligence (GenAI) and machine learning (ML) surge, GPU-intensive tasks such as machine learning, graphics rendering, and high-performance computing are becoming increasingly prevalent. However, many of these tasks do not always require the full performance and resources of a high-end GPU. This underutilization of GPU resources leads to inefficiencies, increased costs, and […]

Introduction Generative Artificial Intelligence (Gen AI) is transforming the way businesses function and is accelerating the pace of innovation. In general, the AI field is changing the way businesses utilize technology. Generative AI technology involves tuning and deploying Large Language Models (LLM), and gives developers access to those models to execute prompts and conversations. Platform […]

Introduction Apache Spark revolutionized big data processing with its distributed computing capabilities, which enabled efficient data processing at scale. It offers the flexibility to run on traditional Central Processing Unit (CPUs) as well as specialized Graphic Processing Units (GPUs), which provides distinct advantages for various workloads. As the demand for faster and more efficient machine […]

Introduction Today, we’re excited to announce the native support for enforcing Kubernetes network policies with Amazon VPC Container Networking Interface (CNI) Plugin. You can now use Amazon VPC CNI to implement both pod networking and network policies to secure the traffic in your Kubernetes clusters. Native support for network policies has been one of the […]