AWS made a big splash at their re:Invent conference when they announced a major push toward enabling rapid, affordable mainframe-to-cloud migration. Here's how organizations can benefit from this initiative.
Refactoring mainframe applications to AWS is a popular pattern that enables applications to be in modern programming languages, with modern databases, and in platforms that the next generation of developers can easily maintain and innovate upon.
Many of the largest mainframe customers globally are setting the direction to exit the platform. Here's why.
Companies running older mainframe technology with Adabas & Natural are faced with the daunting task of moving to RDBMS databases and object-oriented languages that can better support agile development and modern integration standards.
Using powerful conversion and testing tools, complex migration processes can be almost entirely automated, which results in minimal turnaround time for workflows, no errors or delays, and reduced project costs. Here's how.
Nothing speaks to the value of a product quite like the purveyor’s willingness to be their own customer.
Everybody agrees that automation is key to mainframe modernization regardless of the selected transformation approach, particularly in replatforming or refactoring projects. Not everybody, however, has the vision to automate the journey all the way.
COBOL talent shortage is a major mainframe modernization driver and that’s when every IT leader must make a decision about what will happen to the COBOL programmers in this scenario.
As agile practices have gained in popularity, more organizations than ever before are choosing to integrate development, testing, and release processes into a single cohesive whole.
Automated testing is a key factor in successful digital transformation projects. It eliminates human errors and repetitive work, thus making the process highly effective.
Learn about DataTurn's capabilities for mapping and converting legacy databases including Adabas, IDMS, DB2, IMS, VSAM, ISAM, and more.