AWS Partner Network (APN) Blog

Category: Advanced (300)

Empowering Enterprise Mainframe Workloads on AWS with Micro Focus

Large mainframes have challenging non-functional requirements in order to process large volumes of data and users for core-business workloads. Micro Focus Enterprise Server mainframe capabilities, combined with AWS global infrastructure, provide the quality of service required by large applications. With this solution, enterprises and public institutions deploy mainframe workloads on AWS with high security, high availability, elasticity, and robust system management.

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How to Enable Mainframe Data Analytics on AWS Using Model9

Mainframe proprietary storage solutions such as VTLs hold valuable data locked in a platform with complex tools. This can lead to higher compute and storage costs, and make it harder to retain existing employees or train new ones. When mainframe data is stored in a cloud storage service, however, it can be accessed by a rich ecosystem of applications and analytics tools. Model9 enables mainframe customers to backup and archive directly to AWS.

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TDS_AWS Solutions

Creating a Migration Factory Using TransitionManager and CloudEndure Migration

As AWS adoption continues to grow, the need for highly reliable workload migrations at an accelerated pace is paramount. This is particularly true for enterprises turning to AWS to host mission-critical and legacy applications. Organizations need a solution that expedites the migration process, without introducing further risk. TDS TransitionManager with CloudEndure Migration is an AWS solution that accelerates cloud migration projects while reducing risk through automated processes.

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How to Use Amazon Rekognition on Cloudinary to Auto-Tag Faces with Names

Learn how to seamlessly integrate Amazon Rekognition with the Cloudinary platform, and build an application that automatically tags people in images with names. This solution learns people’s faces from photos uploaded to a “training” folder in Cloudinary. In many cases, a single photo of someone is enough for Amazon Rekognition to learn and then, later on, identify and tag that person. This works in most photograph scenes and even pictures with many other people in them.

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