AUTOMATED DATA MIGRATION
Our Automated Db2 Migration solution delivers modern Cloud-enabled databases and supporting applications that are functionally equivalent to their legacy counterparts. Our software converts the Db2 database into an alternative relational database (or to a Db2 Database off-mainframe), providing instant access to vendor and third party tools for reporting, monitoring, maintaining, and documenting.
CHALLENGES
Developers and database administrators who understand mainframe technology are reaching retirement age and no one is trained to replace them, resulting in a steadily diminishing talent pool. As this shortage grows, the costs and risk of relying on legacy systems will continue to rise.
Successful digital transformation and business agility hinges on good data. Non-relational databases and the underlying assets that support them were not designed for today’s business demands or modern IT. This results in difficult integrations, inaccessible data, and limited flexibility.
Mainframes cost as much as 4,500 per cent more to operate than equivalent Cloud counterparts. This figure is compounded by rising licensing and maintenance fees for ancillary mainframe applications and databases.
OUR SOLUTION
Our Automated Db2 Migration solution includes the generation of a new alternative relational database to replace the functionality and other data structures that are part of your Db2 database. The new target database can reside on or off-mainframe, and can use any of the standard relational database management systems (SQL Server, Oracle, Db2, PostgreSQL).
The Db2 data extract and relational load process is simple, straightforward, and fast. Our tools generate data unload programs to be executed in your mainframe environment, as well as data conversion programs for the migration of flat file character data to ready the assets for testing on the target platform. We can provide a number of extract variations for customers that have special requirements for a short Db2 data migration window. Our data migration software gives us numerous capabilities for tailoring your data migration so that the new database meets your requirements.
Next, our data migration software will generate the new DDL for the target database, in addition to the load syntax required to populate the new database using the appropriate load utilities.
The Db2 database definition can be re-collected and processed through our Automated Data Migration software anytime throughout the project lifecycle. This prevents the need to put a freeze on changes to the Db2 structure, a huge win for critical business systems that change often.
Refactoring ancillary applications
Our Automated Db2 Migration solution also includes Automated Refactoring of applications and languages that use the Db2 database including COBOL, CA Gen, CA Telon, PL/I, Assembler, Easytrieve, JCL and Procs for Db2 applications.
This solution preserves the benefits of legacy systems while empowering organizations to leverage the advantages of newer platforms, especially the Cloud. This unlocks a whole new world of automation and scalability from automated testing to quality assurance, and the ability to leverage containerized deployments and orchestration with Docker and Kubernetes.
OUR PROCESS
We begin every modernization initiative with a discovery, free of charge. Our modernization experts work with you to understand and document your business and technical goals and objectives. Together, we gather information about your mainframe estate. Everything from infrastructure to language and database types and quantities are accounted for. The discovery concludes with a workshop where we recommend optimal modernization approaches based on information gathered, as well as rough order of magnitude (ROM) pricing, and estimated project durations and resource requirements.
The assess and design phase is performed using our automated tools to fully catalog and develop a complete understanding of the data, application, infrastructure, and operational components of a mainframe environment. It exposes mainframe artifacts that organizations did not know they had, relationships they did not realize existed, and assets that are no longer in use. Assess and design activities provide stakeholders with valuable insight to inform data migration decisions such as ancillary application disposition strategies and target environment architectures. It also mitigates cost and risk by highlighting potential challenges and how to overcome them. At the conclusion of the assess and design phase, all in-scope artifacts are accounted for, a detailed project plan is established, and the transformation process begins.
The transform phase includes the bulk of the automated refactoring activities associated with ancillary applications, the database and data conversion, and build-out of the target operating environment. Our tools generate the new target DDL, a set of custom extract programs, and the related JCL that extracts the data to a set of sequential delimited files, and generates the load syntax required to populate the new relational databases using the target database's load utility. These relational databases are delivered ready for creation and population, including the target DDL for the database definition, appropriate extract programs, JCL for extract execution, and load syntax for populating the relational tables. During transform, we also refactor applications in pre-defined work packets, perform functional tests, and deliver them into the DevOps pipeline. While customer teams build, test, and deploy these work packets in the target environment, we refactor the next work packet, iterating until the entire mainframe estate has been transformed.
The test and deploy phase begins with the receipt of work packets through the DevOps toolchain as they are delivered from iterative refactoring activities in the transform phase. If issues arise, the work packet is passed back to us where we review the code, adjust our tooling, reprocess the work packet, and send it back into the DevOps pipeline to resume testing and deployment. This process repeats until the entire refactored estate has been deployed.
Prior to go-live, we refresh the target environment by transforming a final snapshot of the mainframe environment to account for changes that have taken place throughout the modernization project as part of normal business operations. Fortunately, since all adjustments and optimizations have been made to the automated refactoring and data migration tools and not the refactored code or converted databases, this final refresh can be delivered into production over a weekend, eliminating code freezes.
We work closely with you and your team to ensure a smooth transition into production. Part of this transition includes the cooperative construction and testing of a go-live production cutover plan to reduce the potential risks associated with application deployments. We also provide on-demand assistance during the warranty period following production deployment, as well as post-transformation support of the modernized application.
This government agency needed to respond to new legislative mandates and continue to serve a growing population. The solution was to modernize their aging system by migrating from IDMS to Db2 and COBOL CICS.
Employment Development Department
of California
RESOURCES
Explore the global trends in the mainframe market, the challenges facing organizations and the case for application modernization among large enterprises with annual revenues over $1 billion.
Read report
ReportThis whitepaper provides insight to the common challenges in handling legacy data and options for solving them.
Read whitepaper
Whitepaperby Brandon Edenfield, Managing Director of Application Modernization
Over 35 years of mainframe modernization experience
