Category: Advanced (300)

Having a multi-account strategy is a best practice to achieve higher isolation of resources. It also helps to meet regulatory and compliance needs, track operational costs, and add an extra layer of security. AWS Control Tower uses AWS best practices to establish a well-architected, multi-account baseline and also enables governance across your AWS accounts. Many […]

During the cloud journey, some of my customers must create identity principals, such as roles or users. Engineers or services use these roles to perform their jobs in the cloud. To support this effort, Sonrai Security has developed an integration with AWS Control Tower. This integration enables you to see all of the security policies […]

Introduction Since its launch in 2014, Amazon Elastic Container Service (Amazon ECS) has simplified ways to allow you to run containerized workloads at scale. On May 27, 2021, AWS announced Amazon ECS Anywhere (ECS Anywhere), a new launch type that allows you to run containerized workloads anywhere including on premises, on virtual machines (VMs), on […]

A recommender system is an automated software mechanism that uses algorithms and data to personalize product discovery for a particular user. Its essential task is to help users discover the most relevant items within an often-unmanageable set of choices. These days, recommender systems are employed in diverse domains to promote products on e-commerce sites, such […]

New deep-learning model architectures push what’s possible in the field of natural language processing (NLP). NLP is the study of methods of processing and analysis of human language data. In machine learning (ML), transfer learning takes model parameters learned on one task and uses them as a basis for another task with some additional fine-tuning. […]

Pre-trained machine learning (ML) models available in AWS Marketplace take care of the heavy lifting, helping you deliver Artificial Intelligence (AI)- and ML-powered features faster and at a lower cost. However, just like all ML models, sometimes ML model predictions are just not confident enough. You want a pair of human eyes to confirm the […]

This is the second article of a two-part series. Part 1 covered data preparation for machine learning (ML) by using Trifacta. Part 2 covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. Background ML provides value to business by offering accurate insights to guide business decisions. Gathering insights from ML should be […]

This is the first blog post of a two-part series. Part 1 covers data preparation for machine learning (ML) using Trifacta, available in AWS Marketplace. Part 2, Simplifying machine learning operations with Trifacta and Amazon SageMaker, covers training the model using Amazon SageMaker Autopilot and operationalizing the workflow. In the past decade, advancements in machine […]

Update June 16, 2021: In May 2021, AWS released an AWS Quick Start, which provides a simple, one-click implementation of New Relic’s integration with AWS Control Tower, with the following enhancements: Automatically enables New Relic’s AWS integration from your New Relic account. You no longer need to manually enable the integration from the New Relic […]

As of December 2022, to integrate Datadog monitoring into your multi-account environment, we now recommend using Datadog’s Account Factory customization. To learn how to use Account Factory customization to deploy Datadog’s AWS Integration into new accounts, visit the most recent blog post. Operational intelligence in a cloud environment helps organizations gain in-depth visibility into resources […]