AWS Partner Network (APN) Blog

Tag: Mainframe Modernization

Real-Time Mainframe Data Replication to AWS with tcVISION from Treehouse Software

Customers that still have business-critical data locked in mainframes want to exploit this data with AWS agile services. Fortunately, Treehouse Software’s tcVISION replicates data in real-time and bi-directionally between mainframes and AWS to allow for these new use cases. Learn about the solution, customer use cases, and explore a practical example of how to replicate data in real-time from DB2 z/OS to Amazon Aurora.

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How Cloud Backup for Mainframes Cuts Costs with Model9 and AWS

Mainframe cold storage based on disks and tapes is typically expensive and rigid. Model9 improves the economics and flexibility by leveraging AWS storage for archival, backup, and recovery of mainframe data. Model9 enables mainframe customers to leverage modern cloud technologies and economics to reduce data recovery risks and improve application availability by providing a software-defined solution for archive, backup, and recovery directly from AWS.

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AWS Partner Network

The Most Viewed APN Blog Posts in 2018

Take a look at the most popular APN Blog posts in 2018. Our goal with this blog is to share timely and relevant news, technical solutions, Partner success stories, and more from Amazon Web Services and the APN specifically. For AWS customers, you can trust that APN Partners are focused on your success, helping you take full advantage of the business benefits AWS has to offer. With their deep expertise, APN Partners are uniquely positioned to help your company at any stage of your Cloud Adoption Journey.

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Ippon_AWS Solutions

Re-Writing a Mainframe Software Package to Java on AWS with Ippon Technologies

Ippon Technologies has successfully re-written a large mainframe third-party software package to Java Angular Spring Boot microservices. The package supported 130 TPS and 1,800 MIPS, catered to over 5,000 users, and housed more than 5 TB of business-critical data. Ippon helped the customer define the approach and architecture, and then developed the microservices along with the CI/CD pipeline on AWS. Learn about the project’s technical aspects, methodologies, and lessons learned.

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Automated Refactoring of a U.S. Department of Defense Mainframe to AWS

A multi-company team led by ARRAY delivered for the U.S. Department of Defense (DoD) a successful modernization of a COBOL-based system running on aged mainframes to a Java-based system running on x86 Red Hat Enterprise Linux (RHEL). AWS provides the system’s capabilities for reliability, scalability, and this post describes the objectives, approach, solution, lessons, and customer benefits realized from this experience.

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Modern Systems_AWS Solutions

Mainframe Modernization Platform-as-a-Service (ModPaaS) from Modern Systems

The Modernization Platform-as-a-Service (ModPaaS) from APN Partner Modern Systems allows customers to collaborate in a highly-customizable manner. ModPaaS is available on AWS Marketplace and gives you access to Modern Systems-developed modernization solutions “as a service” on AWS. It can be used in a self-service manner, with assistance from Modern Systems’ modernization specialists, or in a fully-managed approach similar to traditional project engagements.

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How to Peel Mainframe Monoliths for AWS Microservices with Blu Age

Mainframe monoliths have grown over the years with overwhelming complexity. They often mix different languages and data stores with various interfaces, evolving coding standards, online and batch, and millions of lines of code. With AWS, customers use microservices for agility, elasticity, and pay-as-you-go cloud technology. In this post, we explore Blu Age solutions to peel off AWS microservices from a mainframe monolith, and how to solve data challenges associated with such a migration.

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Patterns and Best Practices for Mainframe Modernization with AWS

There is no one-size-fits-all for mainframe modernization to AWS. Depending on the business and IT strategy, customers select the most suitable pattern for them. If the mainframe is large enough to process multiple workloads, the characteristics can favor different patterns. Fortunately, based on our experience from successful customer modernization projects to AWS, we have identified patterns, lessons learned, and best practices that facilitate new mainframe-to-AWS initiatives.

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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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