Category: Amazon Elastic Kubernetes Service

Learn how to deploy Amazon EKS advanced data protection using NetApp Trident AWS Marketplace EKS add-on and Amazon FSx for NetApp ONTAP.

This integration lets you automatically deploy Upwind to existing and new EKS clusters without a lengthy procurement process, bypassing the often months-long process of discovery, deployment, and management.

In this post we will share real-world examples and success stories from ISVs like Snyk and Guance, who have successfully onboarded their add-ons using this framework. You’ll gain insights into the technical details, best practices, and the benefits of leveraging this automation solution for your own add-on integration with Amazon EKS.

With this release, Amazon EKS customers can deploy the SolarWinds Observability EKS add-on for cluster observability. This post will show you how to subscribe to the SolarWinds Observability EKS add-on in AWS Marketplace without leaving the AWS Management Console for Amazon EKS. The following image shows a reference architecture for the solution; in this scenario, SolarWinds represents the vendor add-on.

With Kubernetes Monitoring now available in AWS Marketplace, AWS users can easily deploy a robust and scalable monitoring solution for their Kubernetes infrastructure.

This post discusses the advantages of this collaborative solution for managing microservices workloads on AWS using Istio.

In this blog post, we are  happy to share that Amazon EKS users can now easily discover as well as procure third-party add-ons from within the Amazon EKS console, replacing the need to open the product details page in a new tab to create a subscription.

In this blog post, we introduce you to Glean – an enterprise-ready search and knowledge discovery solution that’s tailor-made for the enterprise workplace. Glean has been adopted by leading enterprise customers, including Databricks, Okta, and Grammarly, to solve their internal search and knowledge discovery needs. Now available in AWS Marketplace, Glean uses powerful large language models (LLMs) hosted by Amazon Bedrock to deliver generative AI solutions to the millions of customers building on AWS.

In this blog post, you can learn how to use Terraform, a popular infrastructure as code (IaC) tool, for creating and managing the lifecycle of add-ons in an EKS cluster. In this post, I will show you how to find, install, and delete Amazon EKS third-party add-ons using Terraform.

In this blog post, Alex, Pramod, and I will show how to install and use the infrastructure we built to perform quant research at scale. We made the stack and examples available in the public repository so you can use it in your own investment research. This solution uses Apache Spark, Amazon EMR on EKS, Docker, Karpenter, EMR Studio Notebooks, and AWS Data Exchange for Amazon S3.