#application-modernization

#application-modernization

This report summarizes the InfoQ Java editorial team's current perspective on the adoption of technology and emerging trends within the Java space. We focus on Java, the language, as well as related languages such as Kotlin and Scala, the Java Virtual Machine (JVM), and Java-based frameworks and utilities. We discuss trends in core Java, including the adoption of new Java versions, as well as the evolution of frameworks such as the Spring Framework, Jakarta EE, Quarkus, Micronaut, Helidon, and MicroProfile.

The company said the launch of Red Hat Developer Lightspeed, a portfolio of AI solutions, will equip developer teams with "intelligent, context-aware assistance" through virtual assistants. Available on the Red Hat Developer Hub, the first of these AI tools is accessible through the hub's chat interface. The company said this will help speed up non-coding-related tasks, including development of test plans, troubleshooting applications, and creating documentation. This AI assistant can be used via both publicly available and self-hosted large language models (LLMs).

For years,mainframes were synonymous with stability, but rarely with innovation. That image seems to be changing rapidly. New figures from BMC's annual mainframe survey show that confidence in the future of the platform has never been higher. No less than 97 percent of the professionals surveyed indicate that mainframes will remain part of their IT infrastructure. Increasingly, the system is even seen as a driver for new workloads.

MongoDB today unveiled an application modernization platform that makes use of artificial intelligence (AI) agents to analyze and convert legacy applications into code that can be used to deploy a modern application on its document database. Shilpa Kolhar, senior vice president of product and engineering for MongoDB, said the MongoDB Application Modernization Platform (AMP) will make it possible to refactor code in a way that is compatible with the open source Java Spring framework, which in turn could then be deployed on MongoDB.

The new platform will offer a dedicated team of engineers, spread globally, who will oversee and guide enterprises through the entire transformation process, including deployment. A typical modernization journey for an enterprise at MongoDB, according to Kolhar, will include a consulting process that will include discussions on expected pricing, and after that, the AI-driven platform will be used to conduct tests for existing applications, creating a baseline that captures how legacy systems behave in production.

Moderne's alliances with Diffblue and Azul Systems will enable DevOps to accelerate application modernization, simplifying code refactoring and testing through integrated tools.