Category: Technical How-to

Introduction Many AWS customers use Amazon Elastic Kubernetes Service (Amazon EKS) to run machine learning workloads. Containerization allows machine learning engineers to package and distribute models easily, while Kubernetes helps in deploying, scaling, and improving. When working with customers that run machine learning training jobs in Kubernetes, we ‘ve seen that as the data set […]

Introduction In this modern cloud era, customers automatically build, test, and deploy the new version of their application multiple times a day. This common scenario in the software development life cycle creates faster delivery of features, bug fixes, and other updates to end users. One key aspect of continuous deployment is semantic versioning, a system […]

Introduction Amazon Elastic Container Service (ECS) Anywhere is a feature of Amazon ECS that lets you run and manage container workloads on your infrastructure. This feature helps you meet compliance requirements and scale your business without sacrificing your on-premises investments. When extending Amazon ECS to customer-managed infrastructure, external instances are registered to a managed Amazon […]

Introduction This is Part 3 in a series of blogs that demonstrates how to build an extensible and flexible GitOps system, based on a hub-and-spoke model to manage the lifecycles of Amazon Elastic Kubernetes Service (Amazon EKS) clusters, applications deployed to these clusters as well as their dependencies on other AWS managed resources. It’s recommended […]

Introduction This is Part 2 in a series that demonstrates how to build an extensible and flexible GitOps system, based on a hub-and-spoke model to manage the lifecycles of Amazon Elastic Kubernetes Service (Amazon EKS) clusters, workloads deployed to these clusters as well as their dependencies on other AWS-managed resources. It’s recommended that you read Part […]

Introduction GitOps is a way of managing application and infrastructure deployment so that the whole system is described declaratively in a Git repository. It’s an operational model that offers you the ability to manage the state of multiple Kubernetes clusters using the best practices of version control, immutable artifacts, and automation. Organizations have adopted GitOps […]

Introduction Today, AWS announces the general availability of Amazon VPC Lattice a new feature of Amazon Virtual Private Cloud (Amazon VPC) that gives you a consistent way to connect, secure, and monitor communication between your services. As part of the launch of Amazon VPC Lattice, we’re excited to introduce the AWS Gateway API controller, an […]

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 […]

Introduction Application Auto Scaling is a web service for developers and system administrators who need a solution for automatically scaling their scalable resources for AWS services such as Amazon Elastic Container Service (Amazon ECS) services, Amazon DynamoDB tables, AWS Lambda Provisioned Concurrency, and more. Application Auto Scaling now offers support for scaling such resources using […]

Introduction The AWS Copilot CLI is a tool that since its launch in 2020, developers have been using to build, manage, and operate Linux and Windows containers on Amazon Elastic Container Service (Amazon ECS), AWS Fargate, and AWS App Runner. In this post, I’ll walk you through how you can use AWS Copilot CLI to […]