AWS Partner Network (APN) Blog

Tag: Mainframe

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High-Performance Mainframe Workloads on AWS with Cloud-Native Heirloom PaaS

Heirloom PaaS automatically refactors mainframe applications’ code, data, job control definitions, user interfaces, and security rules to a cloud-native platform on AWS. Using an industry-standard TPC-C benchmark, we demonstrated the elasticity of Heirloom PaaS on AWS, delivering 1,018 transactions per second—equivalent to the processing capacity of a large mainframe. Heirloom Computing is an APN Standard Technology Partner.

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Re-Hosting Mainframe Applications to AWS with NTT DATA Services

NTT DATA Services provides a mainframe re-host solution that minimizes application code change while benefiting from the agility AWS offers. NTT DATA’s re-hosting reference architecture, migration best practices, and extensive technology feature set streamline mainframe migrations to AWS. NTT DATA is an APN Advanced Consulting Partner that helps clients navigate and simplify the modern complexities of business and technology, delivering the insights, solutions, and outcomes that matter most to their objectives.

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Data Lakes

How to Unleash Mainframe Data with AWS and Attunity Replicate

Historically, mainframes have hosted core-business processes, applications, and data, all of which are blocked in these rigid and expensive systems. AWS and Attunity can liberate mainframe data in real-time, enabling customers to exploit its full business value for data lakes, analytics, innovation, or modernization purposes. In this post, we describe how customers use Attunity Replicate real-time data streaming to put mainframe core-business data onto AWS.

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Complete Mainframe to AWS Migration with Candid Partners

Migrating a mainframe is a complex project, and Candid Partners is focused on solving the toughest business problems using AWS. They have successfully completed a legacy mainframe to AWS migration for a global enterprise client and are actively working on similar initiatives. In this post, Candid shares their experience and describes the approach, architecture, and lessons learned from this real-life mainframe migration. Candid Partners is an APN Advanced Consulting Partner with the AWS DevOps Competency.

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Migrating a Mainframe to AWS in 5 Steps

When carefully planned, managed, and executed, the rewards of moving Mainframe workloads to AWS are numerous. Besides the cost savings of the pay-as-you-go model, once your Mainframe application set has been fully deployed on AWS, you will have the freedom to integrate proven business logic with modern technologies for data analytics or mobile enablement. With that in mind, migrating Mainframe applications to the cloud seems more like a necessity than a luxury.

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Batch

How to Migrate Mainframe Batch to Cloud Microservices with Blu Age and AWS

While modernizing customer mainframes, the team at Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using Blu Age automated transformation technology.

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AWS Migration

Blu Genius for Mainframe to AWS Cloud-Native Transformation

Many organizations face mainframe challenges—decades-old mainframe-centric application portfolio is expensive, monolithic, rigid, and slow to evolve. Blu Genius is a legacy-COBOL-to-Cloud portal powered by Blu Age Velocity. It automates the transformation from mainframe legacy languages, databases, and file-systems to agile service-oriented applications on AWS. You can try Blu Genius live and for free with preloaded code and data samples by registering at blugenius.com.

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