Category: Technical How-to

Introduction In 2014, AWS announced Amazon Elastic Container Service (Amazon ECS), a fully managed service that helps you orchestrate, deploy, and scale containerized applications. Although Amazon ECS serves a wide variety of customers from different segments, sizes, and verticals, there are cases where the applications need to run locally. For example, this often occurs in […]

Introduction HardenEKS is an open source Python-based Command Line Interface (CLI). We created HardenEKS to make it easier to programmatically validate if an Amazon Elastic Kubernetes Service (Amazon EKS)  cluster follows best practices defined in AWS’ EKS Best Practices Guide (EBPG). The EBPG is an essential resource for Amazon EKS operators who seek easier Day […]

Topology Aware Hints (TAH) is a feature that available in Amazon EKS version 1.24. It’s intended to provide a mechanism that attempts to keep traffic closer to its origin within the same AZ on in another location. In this post, we’ll explore how this feature can be used with Amazon EKS, its effects on how traffic is routed between pods within an Amazon EKS cluster when using multiple AZs, and whether this functionality allows Amazon EKS customers to optimize the latency and inter-AZ data transfer costs in this architecture.

Introduction When building an application on AWS, one of the common decision points customers encounter is building on AWS Lambda versus building on a containers product like Amazon Elastic Container Service (Amazon ECS) or Amazon Elastic Kubernetes Service (Amazon EKS). To make this decision, there are many factors to consider such as cost, scaling properties, […]

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 […]