Category: Amazon EC2

This blog was updated by Irene Garcia Lopez, Solutions Architect, and Mehdi Yosofie, Solutions Architect, in April 2024 to reflect Karpenter beta changes. Overview Karpenter is a dynamic, high performance, open-source cluster autoscaling solution for the Kubernetes platform introduced at re:Invent 2021. Customers choose an autoscaling solution for a number of reasons, including improving the […]

Introduction Sustainable cloud design requires understanding and minimizing the impacts of architectural decisions. With conscientious cloud architecture, we can innovate rapidly while treading lightly on our shared environment. As cloud computing becomes ubiquitous, it’s imperative that we build sustainable cloud architectures that minimize environmental impacts. While cloud economies of scale improve efficiency, our design choices […]

Introduction Since its first appearance on AWS in 2015, Red Hat OpenShift has had a similar architecture. Regardless of it being OpenShift 3 or OpenShift 4, self-managed OpenShift Container Platform (OCP), or managed ROSA. All this time customers query the Control Plane existing within their AWS account and explore getting the most return-on-investment (ROI) to […]

Introduction Amazon Elastic Container Service (ECS) deploys and manages your containerized tasks on AWS infrastructure. Customers can avoid the need to maintain compute instances by using Amazon ECS to deploy tasks on serverless AWS Fargate capacity. But some customers prefer to use Amazon ECS with Amazon Elastic Compute Cloud (Amazon EC2) as capacity. Using Amazon […]

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 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 […]

This post was co-written with Emily Atkinson, Senior Engineering Manager at Condé Nast. About Condé Nast Condé Nast is a global media company home to iconic brands including Vogue, GQ, AD, Condé Nast Traveler, Vanity Fair, Wired, The New Yorker, Glamour, Allure, Bon Appétit, Self and many more. In 2014, Condé Nast started their journey in […]

By Yael Grossman Sr Compute Specialist Solutions Architect at AWS, Roei Jacobovich Software Engineer at Sentra Introduction In this post, we’ll illustrate how Sentra utilizes Amazon Elastic Kubernetes Service (Amazon EKS), AWS Fargate , EC2 Spot, Karpenter, and an open-source version of Dagster, a cloud-native orchestrator, to run efficient and scalable data processing workloads on […]

Introduction .NET Developers commonly design Windows-based applications with Active Directory (AD) integration running on domain-joined servers to facilitate authentication and authorization between services and users. Since containers cannot be domain-joined, running these applications in a Windows-based containers required configuring group Managed Service Accounts (gMSA), domain-joined Kubernetes Windows nodes, webhooks and cluster roles to enable Windows […]