Containers

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) now supports Amazon Application Recovery Controller (ARC). ARC is an AWS service that allows you to prepare for and recover from AWS Region or Availability Zone (AZ) impairments. ARC provides two sets of capabilities: Multi-AZ recovery, which includes zonal shift and zonal autoshift, and multi-Region recovery, which includes routing […]

When deploying software, it’s critical to have visibility into all stages of the deployment process. Knowing the status of ongoing deployments, troubleshooting issues when things go wrong, and having an audit trail of past deployments are essential for ensuring a safe and reliable release process. Amazon Elastic Container Service (Amazon ECS) now provides enhanced observability […]

This post was created in collaboration with Infinitium Engineering Team. Introduction Infinitium (a Euronet Company) is a leading digital payments company in Southeast Asia, specializing in secure online payment solutions and risk management services. With a strong presence across the Asia Pacific region, Infinitium offers cutting-edge technologies such as 3D Secure (3DS) authentication, fraud detection […]

AWS re:Invent is the premier learning conference hosted by AWS for the global cloud computing community. This year the Amazon Elastic Container Service (Amazon ECS) and AWS Fargate teams will share the latest trends, innovations, best practices, and tips to help you increase productivity, optimize costs, and enhance business agility. Join us in Las Vegas […]

Introduction Earlier this year we announced support for Amazon EKS optimized AL2023 AMIs that provided many enhancements in terms of security and performance. Amazon Linux 2023 (AL2023) is the next generation of Amazon Linux from Amazon Web Services (AWS) and is designed to provide a secure, stable, and high-performance environment to develop and run your […]

Many organizations are building artificial intelligence (AI) applications using Large Language Models (LLMs) to deliver new experiences to their customers, from content creation to customer service and data analysis. However, the substantial size and intensive computational requirements of these models may have challenges in configuring, deploying, and scaling them effectively on graphic processing units (GPUs). […]

In Part 1, we explored Moka’s high-level design and logging infrastructure, showcasing how AWS for Fluent Bit, Amazon S3, and a robust logging framework make sure of operational visibility and facilitate issue resolution. For more details, read part 1 here. Introduction As we transition to the second part of our series, our focus shifts to […]

This is Part 1 of the blog post. Introduction Pinterest is a visual search and curation platform focused on inspiring users to create a life they love. Critical to the service are data insights, recommendations and machine learning (ML) models that are produced by synthesizing insights provided by the over 500 million monthly active users […]

Customers who are building their “Golden Image” Amazon Machine Images (AMIs) using EC2 Image Builder may wish to extend their Image Builder pipelines to build out their Amazon Elastic Kubernetes Service (Amazon EKS) worker nodes as well. In this blog, we will show you how to do this and provide you with AWS CloudFormation templates […]

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 […]