Containers

Category: Amazon Elastic Kubernetes Service

How H2O.ai optimized and secured their AI/ML infrastructure with Karpenter and Bottlerocket

This post was co-written with Ophir Zahavi, Cloud Engineering Manager, H2O.ai Introduction H2O.ai is a visionary leader in democratizing artificial intelligence (AI) by rapidly provisioning AI platforms that help businesses make better decisions. Our company’s SaaS platform, built on AWS, H2O AI Managed Cloud, enables businesses to build productive models and gain insights from their […]

Application first delivery on Kubernetes with Open Application Model

This post was co-written with Daniel Higuero, CTO, Napptive Introduction In the era of cloud-native applications, Kubernetes has emerged as a prominent technology in the container orchestration space. However, using Kubernetes requires users to not only run and manage cluster configurations, cluster-wide add-ons, and auxiliary tooling, but also to understanding application deployment configurations (e.g., Deployments, […]

Building better container images

Introduction Many applications built today or modernized from monoliths are done so using microservice architectures. The microservice architecture makes applications easier to scale and faster to develop, which enables innovation and accelerating time-to-market for new features. In addition, microservices also provide lifecycle autonomy enabling applications to have independent build and deploy processes, which provides technological […]

Securing Kubecost access with Amazon Cognito

Introduction Kubecost provides real-time cost visibility and insights for teams using Kubernetes. It has an intuitive dashboard to help you understand and analyze the costs of running your workloads in a Kubernetes cluster. Kubecost is built on OpenCost, which was recently accepted as a Cloud Native Computing Foundation (CNCF) Sandbox project, and is actively supported […]

AWS Fault Injection Simulator supports chaos engineering experiments on Amazon EKS Pods

Introduction Chaos engineering is the discipline of verifying the resilience of your application architecture to identify unforeseen risks, address weaknesses, and ultimately improve confidence in the reliability of your application. In this blog, we demonstrate how to automate running chaos engineering experiments using the new features in AWS Fault Injection Simulator (AWS FIS) to target […]

MuleSoft Anypoint Runtime Fabric Deployment On Amazon EKS Anywhere

This post was co-written with Sparsh Agarwal, Senior Product Manager at Salesforce Introduction Amazon EKS Anywhere (Amazon EKS-A) takes the power of Amazon Elastic Kubernetes Service (Amazon EKS) beyond the AWS cloud and enables you to run Amazon EKS on your own infrastructure. It provides an installable software package for creating and operating Kubernetes clusters […]

Increasing pod density for Windows nodes on Amazon EKS

Introduction Today, Amazon Web Services (AWS) announced the support of prefix delegation mode for Windows nodes running in Amazon Elastic Kubernetes Service (Amazon EKS). This feature increases the number of available IP addresses per node, thereby allowing customers to run more pods per Windows node on AWS Nitro based Amazon Elastic Cloud Compute (Amazon EC2) […]

How CoStar uses Karpenter to optimize their Amazon EKS Resources

Introduction CoStar is well known as a market leader for Commercial Real Estate data, but they also run major home, rental, and apartments websites —including apartments.com—that many have seen advertised by Jeff Goldblum. CoStar’s traditional Commercial Real Estate customers are highly informed users that use large and complex data to make critical business decisions. Successfully […]

Life360’s journey to a multi-cluster Amazon EKS architecture to improve resiliency

This post was coauthored by Jesse Gonzalez, Sr. Staff Site Reliability and Naveen Puvvula, Sr. Eng Manager, Reliability Engineering at Life360 Introduction Life360 offers advanced driving, digital, and location safety features and location sharing for the entire family. Since its launch in 2008, it has become an essential solution for modern life around the world, […]

How Quora modernized MLOps on Amazon EKS to improve customer experience with scalable ML applications

This blog post was co-written by Lida Li of Quora Introduction Quora is a leading Q&A platform with a mission to share and grow the world’s knowledge, serving hundreds of millions of users worldwide every month. Quora uses machine learning (ML) to generate a custom feed of questions, answers, and content recommendations based on each […]