Category: Technical How-to

This post will provide an overview of how you can take advantage of APIs to manage pricing aspects of your products, offers, resale authorizations, and CPPOs.  You will learn about pricing terms and how to update them programmatically using the AWS Marketplace Catalog API.

This post will show you how the adoption of AWS Marketplace Catalog Application Programming Interfaces (CAPI) is a transformative solution which alleviates pain points and increases the efficiency of the ISV-CP relationship, by automating the process of granting resale authorizations and creating private offers.

In this post, we discuss a new feature, a ChangeType called UpdatePricingTerms that allows you to update your single Amazon Machine Image (AMI) product’s prices. We will also discuss the benefits of using this feature of Catalog API to update prices. Further, we highlighted the different options for scaling your pricing updates.

In this post, we show you how to automate private offers within your internal applications using the AWS Marketplace Catalog API. You can extend the solution to create dashboards for managing private offers, which can be saved and cloned to create a new private offer quickly and programmatically.

In this post, we demonstrated how to build a real-time product recommendation engine by leveraging the fully managed streaming capabilities of Amazon MSK, along with the real-time analytics and SQL capabilities of Rockset.

In this blog post, we show you how you can efficiently scale the remediation process using Tamnoon.io, to prioritize alerts and findings, conduct impact analysis of findings, and fix misconfigurations with minimal production impact.

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 post, I aim to help you create a SaaS contract product in AWS Marketplace. I take the current SaaS pricing tiered model and match it with the specific AWS Marketplace SaaS contract pricing model. I also explain the AWS Marketplace features that are relevant based on sales motions as well as best practices for structuring your product detail page.

In this post, we will show how it may be possible to avoid wastage and better forecast food needs using PredictHQ’s dataset with  Amazon Forecast and other machine learning services.

In this post, we share an approach using selected AWS features that help govern how buyers use your organization’s procurement workflows for their AWS Marketplace subscriptions. We show you how to integrate these features into your procurement workflow with AWS Marketplace subscriptions with minimal effort.