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Modernizing and migrating mainframe workloads to Amazon Web Services (AWS) enables customers and partners to drive innovation, agility, and cost savings. These migrations have helped customers mitigate risks associated with maintaining older technologies and finding niche skills. Recognizing the complexity of a mainframe modernization, AWS customers seek proven methodologies, tools, and best practices for accelerating mainframe migrations and modernization to AWS.
The AWS Competency Partner Program is designed to identify, validate, and promote AWS Partners with demonstrated AWS technical expertise and proven customer success. The AWS Competency Partner Program has validated that the partners below have demonstrated they can help customers migrate applications and legacy infrastructure to AWS.
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Mainframe Modernization Software
AWS Partners with the Mainframe Modernization Software Competency have proven technology and customer success, migrating mainframe applications and data to AWS.
AWS Partners with the Mainframe Modernization Services Competency have mature practices and a track record of successful mainframe workload migrations.
Improvement-IT, based in the Netherlands, provides IoT solutions to a variety of organizations with an emphasis on tracking, tracing, and monitoring the status of assets. Together with its other companies Port Pay and Alltrack Medical, it offers these innovative solutions to help customers track assets in the field, manage warehouses, and optimize supply chains. However, it was being hampered by its own managed services provider, which was running both Amazon Web Services (AWS) and on-premises assets for it. It wanted a proactive partner with deep expertise to help optimize its systems, improve client onboarding times, and better detect problems before they affected customers. AWS Partner TechNative has helped it to achieve those goals, reducing customer support calls by 15 percent and cutting onboarding time by 50 percent.
Petronash is an engineering firm established in 2000 in the United Arab Emirates and specializes in integrated solutions tailored for the oil and gas industry. Over the years, the company has grown and extended its operations across the globe. Petronash uses SAP to manage its operations, from internal processes to connections to thousands of customers and suppliers in its supply chain. Its SAP system was running on on-premises infrastructure that was facing end of support and needed to be replaced. With the help of AWS Partner Integra Technologies, the company assessed a range of options and decided to migrate to Amazon Web Services (AWS). With around 95 percent of its operations now on AWS, Petronash has reduced operational costs by 35 percent and reported a 30 percent improvement in SAP application performance.
Kärcher, based in Germany, is a global manufacturer of cleaning equipment. It operates with more than 160 subsidiaries in 82 countries worldwide. The company wanted to ensure that it could deliver products to its customers on time and at competitive costs. Given the disruptions in global supply chains since the COVID-19 pandemic, the company has undertaken to optimize the responsiveness of its supply chain with a cloud-first approach to operations. It also decided to build a new manufacturing facility in Vietnam. Kärcher wanted this greenfield facility to be cloud-native to provide flexibility while eliminating hardware purchases, reducing efforts needed for maintenance, and improving insights into operations. It worked with AWS Partner Zoi to build that solution on Amazon Web Services (AWS), eliminating an initial six-digit investment in hardware, license, and maintenance costs and ready to start production in just 11 months.
In this blog post, we outline the criteria for evaluating code maintainability and explain how AWS Blu Age transforms mainframe applications into maintainable object-oriented Java. AWS Blu Age allows customers to transform mainframe applications into Java Spring. This transformation not only remediates technology concerns, but enables business transformation. Without Java applications that can be readily [...]
Brenesh Stanslas Flower Mary, Mark Brealey, Bruno Sahinoglu,
01/27/2025
Many enterprises still rely on the Adabas database and Natural programming language for critical workloads, facing rising license costs and a shrinking talent pool. To reduce reliance on these aging technologies and enable digital transformation, companies are modernizing to AWS with IBM ModernSystems accelerator. The division offers automated refactoring of Natural code to Java/C# and replatforming to execute Natural on Windows, along with migrating Adabas databases to modern relational databases.
Vaidyanathan Ganesa Sankaran, Phil de Valence,
12/05/2024
AWS just announced new generative AI–powered transformation capabilities of Amazon Q Developer for large-scale assessment and modernization of mainframe applications. Q Developer provides an objective-driven approach powered by autonomous generative AI agents to accelerate mainframe application modernization. It allows customers to define high-level goals and have Q Developer orchestrate the tools and streamline human actions to [...]
Amazon Q Developer streamlines large-scale transformations using generative AI agents supervised by teams through a unified web experience, accelerating .NET porting, mainframe modernization, and VMware migration.
This article co-authored with: Padmanabha Rao Chillara (The New York Times) Executive Summary Amazon Web Services recommends an incremental journey to the cloud, leveraging fast-paced, tool-based modernization approaches to migrate from the mainframe to AWS and then incrementally optimize workloads over time. The New York Times (The Times) selected an automated refactor approach to migrate [...]