AWS Marketplace

Category: Advanced (300)

AWS License Manager integration patterns for AMI or container-based products with contract pricing

Upfront contract pricing models in AWS Marketplace AWS Marketplace now enables you to create AMI and container listings with upfront contract pricing. With this pricing model, your customers can buy your application directly through AWS Marketplace or through a private offer from a reseller, initiated by paying upfront for a monthly, annual, or multiyear contract. […]

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Automate multi account identity governance in AWS using Ermetic and AWS Control Tower

Having a multi-account strategy is a best practice for achieving higher isolation of resources in AWS. It helps you 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 across your AWS accounts. For more information […]

Automate multi account observability in AWS using Cribl and AWS Control Tower

Automate multi account observability in AWS using Cribl and AWS Control Tower

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 […]

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Demonstrating least privilege with Sonrai Security and AWS Control Tower

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 […]

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Deploy a containers-based application with AWS Marketplace and ECS Anywhere

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 […]

Implicit BPR improving recommendations

Improving personalized ranking in recommender systems with Implicit BPR and Amazon SageMaker

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 […]

Experimenting with GPT-2 XL machine learning model package on Amazon SageMaker

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. […]

Deploying AWS Marketplace ML models

Using Amazon Augmented AI with AWS Marketplace machine learning models

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 […]

trifacta sagemaker machine learning pt 2

Simplifying machine learning operations with Trifacta and Amazon SageMaker (Part 2)

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 […]

MLOps Trifacta SageMaker 1

Simplifying MLOps and improving model accuracy with Trifacta and Amazon SageMaker (Part 1)

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 […]