Category: Compute

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

In this post, I introduce a distributed serverless solution that enables you to keep Private Marketplace experiences in multiple organizations synchronized and manage them from a central management organization.

Before you learn how to benefit from the new agreement amendments feature, we will show you what annual subscriptions are and how to access them with AWS Marketplace AMI products. Then we will step through three scenarios to better understand how to deliver the most value from the feature.

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

This post will show you how to take your CloudWatch metrics to the next level by using your AWS resource tags in your monitoring setup.

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.

In this post, Juston and I will show you how to make an automated data access report using the DataSunrise application for Aurora PostgreSQL-Compatible Edition.