Global data & risk analytics provider modernizes & migrates mainframe application to AWS

The client is a global data and risk analytics provider to the insurance, energy, specialized markets and financial services industries.

The client used a mainframe platform to manage its critical, revenue-generating and back-office applications. The company wanted to migrate these workloads off the mainframe to address the business risk of reduced skills to support legacy technologies; reduce costs; and convert code to modern languages that could be maintained and evolved into the future.

We created a rapid proof of concept to migrate the client’s legacy applications off the mainframe. The concept delivered high quality code to its Java and C# developers and enabled application maintainability on AWS.

The process leveraged ExperThink™* toolchain to automate the migration of COBOL, Db2 and Model 204 to Java, C# and Postgres, producing a high quality, maintainable application solution. Working closely with the client, we moved business critical applications to AWS, including the client’s largest mainframe CPU consuming application. Overall, more than 3,000 COBOL programs with Db2 and MQ were converted and  700 Model 204 artifacts converted, leaving the client in a very good position to maintain applications into the future.