Organizations are looking for ways to speed up modernization while simultaneously lowering costs and hazards, thus Google Mainframe Modernization is no longer a question of if but how.
Google Cloud and mLogica announced a strategic partnership aimed at speeding up and reducing the risk associated with Google mainframe modernization applications. This partnership combines Google Cloud Dual Run for validation and de-risking with mLogica’s LIBER M automated code refactoring platform, providing joint customers with a validated and non-disruptive modernization path.
Code analysis, code transformation, dependency mapping, and automated assessment are all features offered by LIBER M. It offers a vital basis for refactoring efforts by supporting a variety of target languages and platforms.
Dual Run allows mainframe and cloud apps to run concurrently, allowing you to verify and compare refactored apps before switching over. This minimizes business impact and significantly lowers the risks associated with large-scale Google mainframe modernization initiatives by enabling a controlled, gradual transition in conjunction with strong testing capabilities.
This collaboration with mLogica adds mLogica’s knowledge and resources to Google Cloud’s current Google mainframe modernization offerings, such as it’s Mainframe Refactor offering. By working together, it can handle a variety of mainframe languages and use cases, eventually giving clients additional options for modernization.
LIBER M-based automated code refactoring
Businesses looking for a more sophisticated approach to Google mainframe modernization frequently mix many modernization methods, such as restructuring workloads and rethinking the application using Google Gemini Accelerated application rewrites. Generative AI may assist in completely reimagining applications as brand-new cloud-native apps and user experiences, especially for those where innovation and new capabilities are essential.
Customers can opt for automated code refactoring from legacy languages to current counterparts, which optimizes for cloud deployment while providing functional parity, for workloads where modernization speed is crucial. This approach balances the need for profound modernization with realistic cost and time-to-value considerations, maximizing innovation and cost-efficiency.
Refactoring is the process of using rule-based transformation to convert traditional mainframe applications which are frequently written in COBOL, Assembler, and other legacy languages into contemporary languages and architectures, usually Java or C#, that run on cloud-native platforms and services. This is different from other modernization strategies like rewriting, which recreates the target application from scratch, or replatforming, which simply concentrates on infrastructure modifications.
Customers can benefit from refactoring in a number of ways, as it strikes a solid mix between speed and modernization potential:
- Refactored apps make use of cloud-native services and contemporary development methodologies (CI/CD, DevOps) to enable quicker feature delivery and adaptability to shifting business requirements.
- Maintaining and improving modern languages and architectures is simpler, which lowers technological debt and increases the skill pool.
- Applications that have been redesigned are made to interface with cloud services like analytics, databases, and AI/ML.
- Because cloud-native architectures are naturally elastic and scalable, apps can adjust to changing needs.
- The long-term advantages of lower infrastructure costs, more productivity, and quicker innovation frequently result in a lower total cost of ownership, even when restructuring necessitates an initial investment.
Refactoring is not synonymous with a one-size-fits-all strategy. From automatic code conversion to more comprehensive architectural redesign, it supports a broad range of modernisation. The particular application and corporate objectives determine the best course of action.
The mLogica modernization foundation
mLogica tackles the Google mainframe modernization problem with decades of knowledge and a full set of solutions. Important items include:
LIBER M
Code analysis, code transformation, dependency mapping, and automated assessment are all features offered by this platform. It offers a vital basis for refactoring efforts by supporting a variety of target languages and platforms.
CAP M
The conversion from traditional databases (such IMS and DB2) to open-source or cloud-native databases is made easier with CAP M, a specialized solution for database migration and modernization.
STAR M
Enables automated testing while modernizing.
mLogica’s extensive knowledge of mainframe technologies and modernization techniques complements these solutions.
De-risking the modernization, validating and certifying the new system, and guaranteeing thorough testing are the three main issues that clients encounter while rewriting mainframe systems, and Google Cloud Dual Run directly tackles these issues. Dual Run removes the need for a “big bang” cutover by allowing the original mainframe application and its updated version to run in parallel on Google Cloud, thus lowering the risk of business interruption.
Continuous validation is made possible by the parallel running of the modernized and legacy environments, which helps guarantee that the updated application performs as intended in practical settings. Comprehensive testing, such as functional, regression, and performance testing, is made easier by this type of parallel processing, which also makes it easier to find any inconsistencies prior to the final changeover.
Assisting it’s joint clients
Delivering tangible results for clients involved in Google mainframe modernization, drastically lowering risk, speeding up time-to-value, and cutting expenses overall are the goals of this collaboration.
By certifying the Dual Run and mLogica tools together, it has confirmed their efficacy in actual modernization situations. Errors, downtime, and business impact are reduced when Google Cloud’s Dual Run parallel operation and mLogica’s automated refactoring with LIBER*M are combined. While Dual Run enables application validation and certification, along with thorough testing and a rollback capability for increased confidence, automation expedites the modernization process. With the help of this integrated solution, you can quickly and safely implement a contemporary, cloud-native architecture, setting up your company for long-term innovation and expansion.
Customers can purchase mLogica’s LIBERM and STARM products directly from the Google Cloud Marketplace. It certified Google mainframe modernization implementation partners offer Dual Run.
