Containers
Category: Amazon Elastic Kubernetes Service
Powering the Next Generation of AI Workloads on Amazon EKS with Anyscale
Ray is an open-source framework that manages, executes, and optimizes compute needs for AI workloads. It is designed to make it easy to write parallel and distributed Python applications by providing a simple and intuitive API for distributed computing. Ray unifies infrastructure by leveraging any compute instance and accelerator on AWS via a single, flexible […]
Announcing AWS Neuron Helm Chart
Introduction We are pleased to announce the launch of the Neuron Helm Chart, which streamlines the deployment of AWS Neuron components on Amazon Elastic Kubernetes Service (Amazon EKS). With this new Helm Chart, you can now seamlessly install the necessary Kubernetes artifacts needed to run training and inference workloads on AWS Trainium and AWS Inferentia instances. Until now, […]
Migrating from AWS App Mesh to Amazon VPC Lattice
After careful consideration, we have made the decision to discontinue AWS App Mesh, effective September 30th, 2026. Until this date, existing AWS App Mesh customers will be able to use the service as normal, including creating new resources and onboarding new accounts via the AWS CLI and AWS CloudFormation. Additionally, AWS will continue to provide […]
AWS and Kubecost Collaborate to Deliver Kubecost 2.0 for Amazon EKS Users
Introduction In August 2022, Amazon Elastic Kubernetes Service (Amazon EKS) announced the availability of an Amazon EKS-optimized bundle of Kubecost for cluster cost visibility. The bundle is available to Amazon EKS users free of charge and enables users to gain deeper cost insights into Kubernetes resources, such as namespace, cluster, pod, and organizational concepts (for […]
Announcing Karpenter 1.0
Introduction In November 2021, AWS announced the launch of v0.5 of Karpenter, “a new open source Kubernetes cluster auto scaling project.” Originally conceived as a flexible, dynamic, and high-performance alternative to the Kubernetes Cluster Autoscaler, in the nearly three years since then Karpenter has evolved substantially into a fully featured, Kubernetes native node lifecycle manager. […]
Yleisradio enhances digital services with Amazon EKS and IPv6 Adoption
Yleisradio is a Finnish broadcasting company running most of its online and mobile services – which roughly 2.1 million Finns use every day – on AWS. Like many organizations, they use IP Address Management (IPAM) systems to allocate IP addresses across their AWS environment to make sure routing works, even between AWS and their on-premises […]
How Getir optimized their Amazon EKS compute using Karpenter
Introduction Getir is the pioneer of ultrafast grocery delivery. Getir was founded in 2015 and revolutionized last-mile delivery with its grocery in-minutes delivery proposition. Today, Getir is a conglomerate incorporating nine verticals under the same brand. Challenge Getir uses Amazon Elastic Kubernetes Service (Amazon EKS) to host applications on AWS. One of the foremost challenges […]
Ensuring fair bandwidth allocation for Amazon EKS Workloads
Independent Service Vendor (ISV) users often offer their end-user solutions hosted on a multi-tenant architecture to reduce cost and operational management. However, this approach can lead Kubernetes clusters to resource exhaustion or network starvation issues that impact neighboring workloads. By default, Kubernetes provides capabilities to enforce resource availability such as CPU and memory to prevent […]
Multi-Region Disaster Recovery with Amazon EKS and Amazon EFS for Stateful workloads
Introduction Amazon Elastic File System (EFS) is a managed storage service that can be used to provide shared access to data for Kubernetes Pods running across compute nodes in different Availability Zones (AZ) managed by Amazon Elastic Kubernetes Service (EKS). Amazon EFS supports native replication of data across AWS Regions. This feature helps in designing a multi-Region disaster […]
How Slack adopted Karpenter to increase Operational and Cost Efficiency
Bedrock – Slack’s internal Kubernetes platform Slack is the AI-powered platform for work that connects people, conversations, apps, and systems together in one place. Slack adopted Amazon Elastic Kubernetes Service (Amazon ) to build “Bedrock,” the codename for an internal compute orchestration platform that simplifies container deployment and management. Bedrock handles build, deploy, and runtime […]