Q2, Inc., a financial experience company, partnered with AWS Partner Presidio to migrate its largest revenue-generating digital banking product to AWS, avoiding a costly on-premises hardware investment. Q2 set an ambitious goal to decrease costs by 25% to better serve each customer. The AWS migration would prove integral to achieving this goal. To satisfy a tight timeline and rigid uptime requirements, Presidio developed an automated, parallel migration platform called “Q2 Migration Manager” (Q2MM) to accelerate the project.
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.
Software runs the world – not just the new software applications built in modern languages and deployed on the most optimized cloud infrastructure, but also legacy software built over years and barely understood by the teams that inherit them. These legacy applications may have snowballed into monolithic blocks or may be fragmented across siloed on-premises [...]
Mainframe databases have served as the foundational infrastructure of enterprise computing for decades, powering mission-critical applications across various commercial and government sectors with their robust transaction processing and data management capabilities. In part 1 of this blog series, we explored the fundamental components of mainframe systems, focusing specifically on compute and storage capabilities. In this [...]
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,
2025年1月27日
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,
2024年12月5日
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 [...]