Category: Mainframe & Legacy

Organizations migrate and modernize mainframes to AWS for agility, cost reduction, and for mitigating mainframe risks. Learn about the key agility attributes needed by mainframe workloads, and explore the evolutionary approach to quickly and incrementally modernize from a mainframe monolith to agile AWS services. In this post, we focus on application and infrastructure agility to change functionality, configuration, or resources quickly and inexpensively.

Many organizations have core business and critical workloads running on Adabas and Natural in a mainframe environment. Customers are looking for ways to reduce cost, increase agility, and improve IT workforce productivity. For this purpose, Software AG provides products and services to deploy applications to AWS. Learn how Adabas and Natural applications can be deployed and modernized on AWS, and run in a resilient and scalable way to deliver high service quality and business value.

Recognizing the complexity of a mainframe migration, AWS customers seek proven methodologies, tools, and best practices to empower successful migrations. The AWS Partner Network (APN) plays a critical role in these efforts by providing validated technology products and services for customers’ mainframe migrations. We are excited to announce the launch of the AWS Mainframe Modernization Competency which gives customers confidence in choosing AWS Partner to team up with.

With an increased pace of innovation and demand for faster development and testing cycles, customers with mainframes want to adopt DevOps practices for their z/OS environments. To facilitate these practices, IBM offers the IBM Z Development and Test (ZD&T), a hardware emulation solution that allows regular z/OS software to run on the x86 platform by emulating the IBM Z instruction set, IO, and other devices. Learn how to create your own IBM ZD&T and z/OS environment on AWS.

Increasing the agility of mainframe workloads is critical for organizations processing core-business processes and data on mainframes. Together, AWS and Micro Focus can help you accelerate the transition to agile services with a tool-based evolutionary approach, avoiding the expensive, risky, and slow rip-and-replace approach. Learn about the overall approach to agility and detail the transitions and Micro Focus tools for transforming mainframe workloads into agile services on AWS.

Mainframe applications have been running the most mission-critical workloads in many large enterprises for decades. It’s common for them to store, compute, and transfer terabytes of data in day-to-day processing. Modernization projects can fail or become subtly complex in execution for a variety of reasons. Learn how tools and accelerators from Infosys are helping data migration from mainframe systems overcome many technical challenges.

Recognizing the complexity of a mainframe migration, AWS customers seek proven methodologies, tools, and best practices to empower successful migrations. The APN plays a critical role in these efforts by providing proven technology products and services for customers’ mainframe migrations. We are excited to pre-announce the launch of the AWS Mainframe Modernization Competency which gives customers confidence in choosing right right AWS Partners to team up with.

Fujitsu offers a commercial and technical solution for mainframe modernization on AWS that makes application modernization possible and sensible.. Fujitsu’s end-to-end approach helps financial services address their challenges in a cost-effective manner. This helps organizations realize the required future-proof scalability, agility, and extensibility of their core legacy systems. Fujitsu is an AWS Advanced Consulting Partner with the AWS Migration Competency.

Historically, mainframes have hosted core-business processes, applications, and data, all of which are blocked in these rigid and expensive systems. AWS and Qlik 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 Qlik Replicate real-time data streaming to put mainframe core-business data onto AWS.

Mainframes typically host core business processes and data. To stay competitive, customers have to quickly transform their mainframe workloads for agility while preserving resiliency and reducing costs. There is a challenge in defining the agility attributes and prioritizing the corresponding transformations for maximum business value in the least amount of time. In this post, dive deep in the practical agility attributes needed by mainframe workloads, and how to accelerate the transformation towards such agility with AWS.