Organizations in industries across the board continue to utilize mainframes as their system of record. Therefore, a key competitive advantage lies in getting the most out of these legacy systems.

Many tools API-enable the mainframe, but in order to innovate and go-to-market quickly companies need to efficiently deploy large numbers of APIs. In this recent Forbes article, president of GT Software Steve Hassett discusses mainframe integration at scale. This is the ability to develop, maintain and update a high volume of APIs very quickly.

“Technology is never done evolving,” Hassett explains. “As technology advances, the changes grow in size and complexity. Mainframe integrations must remain flexible and have the ability to scale.”

It takes extensive skill and time to manually update APIs. This is due to ever evolving standards and requirements. According to the Financial Data Exchange (FDX), open standards change by consensus, so any changes made are deliberate. By using a mainframe integration tool to scale, companies can easily implement widespread changes to APIs.

It can also drastically speed up development time. The faster you test, the faster you can deploy. Mainframe integration at scale can help your organization avoid latency issues and volume limitations.

Moreover, a scalable mainframe integration tool provides life cycle support and governance for APIs. This allows organizations to control and appropriately manage new API creation. You can modify, enhance or reuse APIs with minimal additional effort.

Additionally, by utilizing mainframe integration at scale, the integration tool can manage complex APIs, rather than the mainframe development team, which eases implementation issues.

Click here to read the full Forbes article.