As private and public sector organizations continue to evolve in the digital age, the need for cloud migration has never been more pressing. Legacy systems, particularly distributed databases and mainframe environments, pose significant challenges to this critical digital transformation.
However, a new partnership between CAST and mLogica offers the next generation solution to these challenges, leveraging the strengths of CAST’s application intelligence technology alongside mLogica’s GenAI-powered LIBER*M Mainframe Modernization Suite and STAR*M Distributed Workload Modernization software.
Mainframe and legacy distributed database migrations are often complex, time-consuming and risky, especially since they support mission-critical business environments. These systems, which have been the backbone of many private and public sector organizations for decades, contain critical data and business logic that are deeply embedded in custom code.
The sheer volume, coupled with the intricacies of legacy code that has built up over years, makes migrations a daunting task. Moreover, the risk of disrupting business operations during the migration process is a significant concern for both private and public sector organizations.
When migrating applications to modern cloud platforms, understanding the intricacies of the existing codebase is critical. CAST technology understand how applications work and provides insights into the inner workings, structural quality, complexity and risks associated with software applications, making it a critical asset for application and database migrations.
For example, CAST Highlight analyzes the entire application landscape, identifying interdependencies, technical debt, cloud maturity, as well as resiliency, security, and legal risks across the application portfolio. This analysis is vital for understanding which applications are best suited for migration, which migration journey path makes the most sense and what steps are needed to ensure a smooth transition.
In addition, by identifying potential vulnerabilities and technical debt in legacy systems, CAST helps private and public sector organizations mitigate risks throughout the entire migration process. It also ensures critical applications are not only migrated successfully but optimized for performance in the new cloud environment.
This application rationalization process helps organizations avoid the costs associated with migrating unnecessary or redundant applications. By streamlining the application portfolio, businesses can focus resources on migrating and modernizing only the most critical systems.
mLogica’s LIBER*M Mainframe Modernization Suite and STAR*M Distributed Workload Modernization leverage advanced GenAI algorithms and machine learning to automate much of the migration process, from code conversion to data transformation. This reduces the need for manual intervention and virtually eliminates project-delaying human error—allowing organizations to move to the cloud faster with minimal disruption.
mLogica’s software is designed to handle any migration, from small and mid-sized databases to massive mission critical mainframe systems. This scalability is crucial for private and public sector organizations that need to migrate multiple complex environments to the cloud.
The partnership between CAST and mLogica creates a powerful synergy that addresses key challenges of mainframe and distributed database migrations. By combining CAST’s expertise in application rationalization with mLogica’s AI-powered migration technology, private and public sector organizations can achieve a faster, more efficient, risk-mitigated digital transformation.
The groundbreaking integration of CAST’s software intelligence technology with mLogica’s automated migration software enables comprehensive assessments of IT environments, allowing modernization teams to identify which applications and databases are best suited for migration and determine the optimal journey path. This provides an end-to-end solution that automates every stage of the migration process, from planning to execution.
By leveraging CAST’s ability to identify risks and mLogica’s AI-driven approach to problem-solving, customers can minimize the potential for errors and reduce overall risk. Post-migration, the applications and databases are optimized for their new environment, ensuring they deliver better performance, scalability and cost-efficiency.
In a world where digital transformation including cloud adoption, are no longer optional but essential, the CAST and mLogica partnership stands out as a critical enabler of successful mainframe and legacy distributed database migrations. This collaboration not only addresses the technical challenges of migrating legacy systems to the cloud, but it also paves the way for organizations to achieve greater agility, efficiency and innovation in their entire IT operation.
As private and public sector organizations continue to navigate the complexities of digital transformation, the technical upside of this partnership will be felt across industries, driving smoother, faster, more secure migrations that allow customers to unlock the full potential of the cloud.