AWS FeedThe latest from AWS Organizations (Fall 2021) AWS Organizations provides features that customers can utilize to manage their AWS environment across accounts. When paired with other AWS services, AWS Organizations helps you manage permissions, create and share resources, govern your environment, and centrally control your security requirements. Here’s what our team has been up…
AWS FeedAutomating ForgeRock Deployment Using Containerization with Amazon EKS By Le Deng, Sr. IAM SME – ForgeRockBy Tony Song, Sr. ISV Success PSA – AWS ForgeRock The pandemic has shaken organizations in many ways; as a result, enterprises have accelerated moving their IT infrastructures to cloud so they have a robust and elastic foundation to…
AWS FeedDelta Sharing on AWS This post was written by Frank Munz, Staff Developer Advocate at Databricks. An introduction to Delta Sharing During the past decade, much thought went into system and application architectures using domain-driven design and microservices, but we are still on the verge of building distributed data meshes. Such data meshes are…
AWS FeedHow TourRadar automates the translation process using Amazon EventBridge and Amazon Translate This is a guest post written by Gergely Kadi, Senior Systems Engineer and Martin Petraschek-Stummer, Senior Data Engineer at TourRadar. TourRadar is a travel marketplace to connect people to life-enriching travel experiences. When it was launched, TourRadar only offered tours and content…
AWS FeedImplementing a hub and spoke dashboard for multi-account data science projects Modern data science environments often involve many independent projects, each spanning multiple accounts. In order to maintain a global overview of the activities within the projects, a mechanism to collect data from the different accounts into a central one is crucial. In this…
AWS FeedEnhance your machine learning development by using a modular architecture with Amazon SageMaker projects One of the main challenges in a machine learning (ML) project implementation is the variety and high number of development artifacts and tools used. This includes code in notebooks, modules for data processing and transformation, environment configuration, inference pipeline, and…