AWS Marketplace

Category: Technical How-to

Creating container products for AWS Marketplace using Amazon EKA and AWS Fargate

Creating container products for AWS Marketplace using Amazon EKS and AWS Fargate

Metered pricing in AWS Marketplace AWS Marketplace is a digital catalog with thousands of software solutions from Independent Software Vendors (ISVs). It makes it easy for AWS customers to find, test, buy and deploy software in minutes on AWS. By listing your software in AWS Marketplace, you can reach a worldwide target audience while reducing […]

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How to try a product demo of a machine learning model from AWS Marketplace without subscribing to it

During my interactions, I hear feedback from builders on how they are looking to test drive machine learning (ML) models quickly. AWS Marketplace makes it easy to find, try, buy, and deploy ML models, which are deployed using Amazon SageMaker. I’m pleased to announce that the Try Product demo feature is now available. This feature lets […]

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Splunk and AWS Control Tower

Monitoring resources in an AWS Control Tower environment using Splunk from AWS Marketplace

As a customer, you deploy workloads on the AWS Cloud, and you often build multi-account environments based on AWS Multi Account Strategy best practices. Many of my customers use AWS Control Tower as an orchestration framework to provision new accounts. AWS Control Tower provides a way to set up and govern a new, secure, multi-account […]

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AWS Control Tower with Aviatrix

Automate your network setup in AWS Control Tower using Aviatrix

AWS services support customer needs across various business functions and initiatives. To support this growth, customers are using AWS Control Tower to set up their multi-account environments in a fast and secure way. Customers must also build a framework that enables the network topology to be scalable as they grow their infrastructure footprint on the […]

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log analysis with logz.io

Log analysis with AWS Control Tower and Logz.io

As businesses grow, the recommended approach in AWS is to move from one account to a multi-account environment. Using an AWS account as the isolation boundary, the multi-account approach enables customers to have the flexibility to isolate resources. You might select this option to separate applications that have different security requirements or manage service limits. […]

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ML to increase personalization

Using machine learning to automate tasks and increase personalization

This post describes winning solutions from the AWS Marketplace Machine Learning Challenge hackathon. Other winners created solutions using machine learning to stay connected and to support healthcare during a pandemic. Introduction During spring 2020, the AWS Marketplace Developer Challenge: ML Powered Solutions hackathon put forth a test for builders all over the world. The challenge […]

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TrendMicroBlogArchitecture-1

Enhancing workload security using Trend Micro from AWS Marketplace in AWS Control Tower environment

Customers at all levels of cloud consumption are using AWS Control Tower to set up a new baseline multi-account AWS environment that is secure, well-architected, and ready to use. Automation and centralized management across an AWS environment help organizations to streamline their operations. Kishore, Devi, and I have heard from customers that they would like […]

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seller data feed delivery service for aws marketplace

Using Seller Data Feed Delivery Service, Amazon Athena, and Amazon QuickSight to create seller reports

by Varun Krishnakumar, Taylor St. Clair, Vincent Larchet, Ankit Marwaha, Nimish Amlathe, and Alexandru Stroe AWS Marketplace enables more than 1,500 sellers to sell their software and data products to over 260,000 customers worldwide. As sellers growing your businesses using AWS Marketplace, you require timely, secure, and easy access to business, sales, and financial data. […]

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using machine learning to predict popularity of retail products

Using Amazon SageMaker, AWS Marketplace, and AWS Data Exchange to predict retail product popularity

For many of my customers, use of machine learning and advanced analytics is a competitive differentiator. To do machine learning (ML) and analytics at scale, you need access to high-quality data sets. While some data is available in house, data scientists often need high-quality, third-party data in addition to the data they have available for […]

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