Global data & risk analytics provider migrates 2/3 of mainframe application workload 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.
The client chose Ensono to migrate its legacy applications off the mainframe following a rapid proof of concept that delivered high quality code to its Java and C# developers and enabled application maintainability on AWS.
Ensono used its ExperThinkTM AI 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, Ensono moved business critical applications to the public cloud (AWS), including the client’s largest mainframe CPU consuming application.
Applications converted to maintainable Java and C# running in AWS cloud
Eliminated risk of retiring legacy skills
Reduced mainframe cost and capacity needs
2/3 of workload MIPS successfully migrated off the mainframe. Remaining mainframe now managed by Ensono
Ensono’s automation toolset and methodology accelerated the client project start-up and execution
Client now well positioned to continue to develop these key business applications into the future
More than 3,000 COBOL programs with Db2 and MQ converted
700 Model 204 artifacts converted
Migrated to C#, Java, Spring, Angular and Postgres and Aurora on AWS, to suit different development teams’ skills and preferences