TSRI modernized IDT's Automated Test & ReTest (ATRT) tool from Ada 95 to C++. ATRT is a patented automated testing and analysis toolset that provides development and integration; system and certification; installation; and cybersecurity testing for many vital military planning, weapon and sensor systems.
No change in business logic.
Reduction in overhead costs.
Continuous development during and after migration.
These are a few modernization concepts that Scott Pickett, TSRI’s Vice President of Product Operations and Service Delivery, discussed on his recent appearance on Amazon Web Services’ APN TV channel.
“TSRI allows for an ability to do automated transformation of not only your language, but your application to the cloud environment, allowing you to bring in skilled, modern technology to your legacy implementations, being able to drive down the cost point associated with ongoing operational costs, and being able to deliver new applications, new functionality, new screens, and new capabilities in that modern language,” he said in his talk.
So what does that mean, exactly?
In TSRI’s modernization of a major European bank to the cloud, that meant they modernized approximately 80,000 lines of code at 99.7% automation. In other words, only 384 of those lines of code were hand-written. That's big for a project of this size—but it's huge when you're talking about applications with hundreds of thousands or even millions of lines of code!
For any organization, whether in commercial enterprise organizations like the banking client mentioned above, or in government agencies, modernization reduces risk.
“You're able to bring a new skill set, new experts that know Java and know CI and CD tools and apply them to your legacy application that's been modernized,” Scott said. “It literally also allows for the ability to drop tens of thousands, and even hundreds of thousands of dollars, off your monthly costs.”
As Scott also noted in his presentation, “we can not only transform code quickly…because there are very, very few manual changes, but it also means that you can migrate to the cloud and then be able to not have any business logic change associated with that migration.”
Maintaining business logic is a big deal when it comes to systems that measure their age in decades rather than years and the original programmers have long since moved on.
One other interesting point Scott brought up is how TSRI’s tools have enabled customers to maintain agility and competitive advantage by providing its clients with the modern, cloud-based applications they need—all while reaching back to its legacy DB2 database that supports the applications that have yet to be modernized.
Throughout the talk, Scott also pointed to how TSRI has adopted a step-wise model, which modernizes small applications or pieces of an application, tests for validity, then pushes into production before the next applications are transformed. Such a methodology allows the client to continue to develop in the legacy language, maintain a common data set, and minimizes business disruption to almost zero.
“There’s no big delay. You can continue developing the legacy and we can migrate those legacy applications while the transformations are happening and migrate them into your modern environment,” he said.
Scott also explains the steps of an automated migration in layman’s terms and how a TSRI transformation integrates cleanly into cloud services like AWS using containerization and microservices.
We of course don’t want to spoil the presentation by giving everything away, so head over to APN TV and watch for yourself to learn about how automated modernization to the cloud will save your organization time, money, and the headaches from continuing to maintain legacy systems.
TSRI is Here for You
As a leading provider of software modernization services, TSRI enables technology readiness for the cloud and other modern architecture environments. We bring software applications into the future quickly, accurately, and efficiently with low risk and minimal business disruption, accomplishing in months what would otherwise take years.