Category: Amazon Elastic Kubernetes Service

Introduction As Kubernetes adoption grows, many organizations are choosing it as their platform to build and host their modern and secure applications. Security is one of the primary design criteria for many workloads, especially those dealing with sensitive data such as financial data processing. These workloads have a stringent requirement to adhere to various security […]

This post was co-authored by Nikhil Sharma and Ravishen Jain of OLX Autos Introduction We, at OLX Autos run more than 100 non-production (non-prod) environments in parallel for different use-cases on home grown Internal Developer Platform (IDP), ORION. ORION runs on Amazon Elastic Kubernetes Service (Amazon EKS). Each of the Autos environment consists of at […]

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 […]

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 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, […]

This blog was authored by Sébastien Allamand (Sr. Solution Architect Specialist, Containers), This blog has also been translated into Korean here. Edit: 02 Jun 2023: The sample has been updated according to the EKS Blueprint V5 Migration Edit 06 October 2023: Upgrade the blog and sample to use gitops-bridge-argocd-bootstrap integration Introduction Organizations use modern application […]

Introduction In December 2019, we announced AWS Wavelength, new AWS infrastructure that allows customers to deploy workload closer to 5G-connected users and devices. Customers can now use AWS Wavelength to deploy Amazon Elastic Compute Cloud (Amazon EC2) instances, Amazon Elastic Kubernetes Service (Amazon EKS) clusters and a suite of supported partner solutions available on the […]