Application Modernization
Accelerate the modernization of applications through agile migration and automated refactoring, unlocking the complete potential of the Cloud Continuum.
Transform Now
Many organizations rely on mainframes as the backbone of their business, hosting critical applications and data. Our survey on Mainframe Modernization reveals that companies frequently face difficulties in this process due to its costliness, time-intensive nature, the need for specialized skills that are challenging to acquire, and the necessity for a well-defined roadmap. These challenges are transforming legacy mainframes into impediments that hinder innovation.
The positive aspect is that numerous modernization solutions exist. FabiT is actively assisting organizations in evaluating the optimal timing and method for modernizing mainframe applications, helping them identify the most suitable approach for their business.
Capabilities
Migrating applications to cloud environments to leverage scalability, flexibility, and cost-effectiveness.
Decomposing monolithic applications into smaller, independently deployable microservices for improved agility and maintainability.
Implementing container technologies (e.g., Docker) for consistent and efficient deployment across different environments.
Embedding DevOps practices to automate development, testing, and deployment processes, fostering collaboration between development and operations teams.
Exposing application functionalities through APIs to enhance integration, interoperability, and ease of access.
Upgrading data storage and management systems to handle larger datasets, improve accessibility, and comply with data privacy regulations.
Improving the user interface and experience through redesigns or incorporating user-centric design principles.
Adapting applications to be mobile-friendly or developing native mobile apps to meet changing user expectations.
Integrating and interfacing with existing legacy systems to ensure a smooth transition and coexistence of new and old functionalities.
Embedding AI capabilities to enhance decision-making processes, automate tasks, and introduce intelligent features.
Strengthening application security measures to protect against emerging threats and vulnerabilities.
Adopting agile methodologies and iterative development approaches to accelerate development cycles and address evolving business requirements.
Implementing continuous monitoring to track application performance, identify issues, and ensure ongoing optimization.
Enhancing the application’s scalability and performance to handle increasing workloads and user demands.