Cobol to Java Migration

COBOL veterans say it takes more than just knowing the language itself. COBOL-based systems vary widely and original programmers rarely wrote handbooks, making trouble-shooting difficult for others.

Pivot Cloud Platform once configured, deploys an AI agent who transparently captures all the business processes and data. Unlike consulting firms, Pivot Cloud Platform relies on AI Machine learning to determine the exact ‘fact-based proof’ to figure out the logic behind the code. With the average cost of one consultant, you can hire Pivot Cloud Platform, which is the most cost-effective solution on the market.

The evolution of COBOL more than 30 years, has its’ roots buried deep in the legacy code base. Over the years, fixes, updates, Operating System enhancements, Security patches all contribute to complex and hard to maintain code base never mind migrating to the cloud. Conventional wisdom dictates that enterprises adopt the same old policy, just like ‘If you have a hammer every problem looks like a nail’! However advances in AI and Cloud computing have revolutionised the modernisation process, and made it virtually automatic.

Old Code

New screen
New Micro-service

Here is how it works…

Step1 : Non-Disruptive Set-up

Pivot Cloud Platform targets the Cobol Application whether it is a green screen application (ex. BMS) or Browser based (ex. via MQ). Start using the application as normal, Pivot Cloud Platform learns all the logic and data flows.


Step 2: Migration

Pivot Cloud Platform “Process Insights” once deployed, understands business logic and rule sets in third party systems deployed internally. Since Pivot Cloud Platform AI does not require source code or a separate system to be deployed for migration, the current system while operational will be systematically migrated to Java micro-services.

Step3 : Deploy and Test

Deploy the newly generated Java Micro-services in your preferred environment (ex. On-Prem host, Docker, Kubernetes).

Now you have old and new applications serving same functionality. Test and go-live.