Tag: modernization

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 […]

In today’s rapidly evolving software landscape, maintaining and modernizing Java applications is a critical challenge for many organizations. As new Java versions are released and best practices evolve, the need for efficient code transformation becomes increasingly important. HAQM Q Developer transformation for Java using the Command Line Interface (CLI) presents a powerful alternative to integrated […]

As organizations modernize their database infrastructure, migrating from systems like Oracle to open source solutions such as PostgreSQL is becoming increasingly common. However, this transition presents a significant challenge: discovering and converting embedded SQL within existing Java applications to ensure compatibility with the new database system. Manual conversion of this code is time-consuming, error-prone, and […]

On February 14, HAQM Q Developer announced support for upgrades to Java 21. As a Java developer, I’m excited about this new capability, which will make it easier for me to keep my applications up-to-date and take advantage of the latest language features and performance improvements. In addition, the latest version of HAQM Q Developer […]

We have seen mainframe customers often encounter scalability constraints, and they can’t support their development and test workforce to the scale required to support business requirements. These constraints can lead to delays, reduce product or feature releases, and make them unable to respond to market requirements. Furthermore, limits in capacity and scale often affect the quality of changes deployed, and are linked to unplanned or unexpected downtime in products or services.
The conventional approach to address these constraints is to scale up, meaning to increase MIPS/MSU capacity of the mainframe hardware available for development and testing. The cost of this approach, however, is excessively high, and to ensure time to market, you may reject this approach at the expense of quality and functionality. If you’re wrestling with these challenges, this post is written specifically for you.