Category: Amazon Elastic Kubernetes Service

Introduction What is Kubernetes? I have been working on this technology since the beginning and after 8 years, I’m still having a problem defining what it is. Some people define Kubernetes as a container orchestrator but does that definition capture the essence of Kubernetes? I don’t think so. In this post, I’d like to explore […]

This is the beginning of a beautiful friendship; a tale of two cloud services, traveling down two seemingly independent paths, destined to converge. But first, a brief history: Since their launch in November of 2018, AWS Snowball Edge devices have been used to run applications for data processing, analytics, and machine learning in remote or […]

Today we are delighted to announce the redesigned Amazon EKS Workshop, a Kubernetes-focused workshop created to familiarize you with Amazon Elastic Kubernetes Service (Amazon EKS) and related open-source technologies. The new workshop replaces the existing one, which is fully deprecated but continues to be accessible at archive.eksworkshop.com. The Amazon EKS Workshop is completely redesigned with […]

Introduction Karpenter was built to solve issues pertaining to optimal node selection in Kubernetes. Karpenter’s what-you-need-when-you-need-it model simplifies the process of managing compute resources in Kubernetes by adding compute capacity to your cluster based on a pod’s requirements. With the recent release of workload consolidation, Karpenter can now be enabled to continuously monitor and optimize […]

Introduction In May 2021 we introduced AWS App Runner, the simplest way to build and run your containerized web application in AWS. AWS App Runner gives you a fully managed container-native service. There are no orchestrators to configure, build pipelines to set up, load balancers to optimize, or Transport Layer Security (TLS) certificates to rotate. […]

The Kubernetes project is made up of a number of special interest groups (SIGs) that focus on a particular part of the Kubernetes ecosystem. The Storage SIG is focused on different types of storage (block and file) and ensuring that storage is available to containers when they are scheduled. One of the subprojects of the Storage […]

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 […]