Category: Containers

Introduction Kubernetes has gained widespread adoption in the field of data processing because of its ability to package and deploy applications as containers with all required dependencies, as well as its support for running data frameworks. This makes it easy for developers to run their Data Analytics/Machine Learning (ML) applications within a Kubernetes cluster and […]

This blog post is a continuation of an existing series of articles covering different use cases for Quarkus (Optimize your Java application for AWS Lambda with Quarkus and Optimize your Java application for Amazon ECS with Quarkus). In this blog post, I want to show how the Quarkus stack and additional extensions can be used […]

Introduction In this blog post, you’ll learn how to configure AWS Key Management Service (AWS KMS) at rest on Amazon Elastic Container Registry (Amazon ECR) with image replication. By default, repository settings aren’t replicated, and with the information contained in this article, we’ll empower your organization to put security first while using the AWS tools […]

To meet user demand, dynamic HTTP-based applications require constant scaling of Kubernetes pods. For applications exposed through Kubernetes ingress objects, the AWS Application Load Balancer (ALB) distributes incoming traffic automatically across the newly scaled replicas. When Kubernetes applications scale down due to a decline in demand, certain situations will result in brief interruptions for end […]

One of the key benefits of the AWS Cloud is it allows customers to go global in minutes, easily deploying an application in multiple Regions around the world with just a few clicks. This means you can provide lower latency and a better experience for your customers at minimal cost while targeting higher availability service-level […]

Introduction Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service that allows organizations to deploy, manage, and scale containerized workloads. It’s deeply integrated with the AWS ecosystem to provide a secure and easy-to-use solution for managing applications not only in the cloud but now also on your infrastructure with Amazon ECS […]

Introduction In Kubernetes, the Data Plane consists of two layers of scaling: a pod layer and a worker node layer. The pods can be autoscaled using Horizontal Pod Autoscaler (HPA) or Vertical Pod Autoscaler. Nodes can be autoscaled using Cluster Autoscaler (CA) or Karpenter. If worker nodes are running at full capacity and new pods […]

Introduction Amazon Elastic Kubernetes Service (Amazon EKS) makes it easy to deploy, manage, and scale containerized applications using Kubernetes. It has native support for AWS Identity and Access Management (AWS IAM) users and roles as entities that can authenticate against a cluster. Many of our customers use enterprise identity providers (IdP) like Active Directory, OKTA, […]

AWS App Runner makes it easy to run web applications and APIs at production scale. It enables you to build, deploy, run, and observe web applications without the burden associated with infrastructure management. Many such applications externalize the storage of URLs, API keys, usernames, database secrets, and configuration parameters. Starting today, App Runner allows you to […]

Introduction Organizations use modern application development approaches, such as microservices, to increase innovation, performance, security, and reliability. However, when working with legacy deployment systems, it can be difficult to maintain a fast deployment pace while maintaining control and security over each deployment. As a result, customers often turn to orchestration systems like Amazon Elastic Container […]