Containers

Category: Technical How-to

Announcing AWS Fault Injection Simulator new features for Amazon ECS workloads

Introduction We are happy to announce new features in AWS Fault Injection Simulator (FIS) that allow you to inject a variety faults into workloads running in Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS). This blog shows how to use new AWS FIS actions with Amazon ECS. AWS Fault Injection […]

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 […]

Hosting Amazon Managed Workflows for Apache Airflow (MWAA) Local-runner on Amazon ECS Fargate for development and testing

Introduction Data scientists and engineers have made Apache Airflow a leading open-source tool to create data pipelines due to its active open-source community, familiar Python development as Directed Acyclic Graph (DAG) workflows, and an extensive library of pre-built integrations. Amazon Managed Workflows for Apache Airflow (MWAA) is a managed service for Apache Airflow that makes […]

Announcing Container Image Signing with AWS Signer and Amazon EKS

Introduction Today we are excited to announce the launch of AWS Signer Container Image Signing, a new capability that gives customers native AWS support for signing and verifying container images stored in container registries like Amazon Elastic Container Registry (Amazon ECR). AWS Signer is a fully managed code signing service to ensure trust and integrity […]

How to establish private connectivity for ECS Anywhere

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 […]

HardenEKS: Validating Best Practices For Amazon EKS Clusters Programmatically

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 […]

Exploring the effect of Topology Aware Hints on network traffic in Amazon Elastic Kubernetes Service

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.

AWS Lambda for the containers developer

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, […]

Start Pods faster by prefetching images

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 […]

Enable continuous deployment based on semantic versioning using AWS App Runner

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 […]