Application Modernization
Home > Services > Application Development & Experience Design > Application & Platform Engineering > Application Modernization
Our Application Modernization services transform legacy applications into agile, and scalable solutions that work with modern technology design patterns and meet evolving organizational needs. By upgrading outdated applications, we help organizations reduce risks, enhance performance, and future-proof critical systems.
We begin with a comprehensive assessment of the application and the related business process to identify inefficiencies, feature backlogs, defect logs, and opportunities for improvement. Our process incorporates advanced technologies such as cloud migration, containerization, and microservices architecture to rebuild or enhance applications. The result is modernized systems that offer richer business capabilities, improved user experiences, reduced downtime, and seamless integration with other enterprise systems.
Modernization is not just about technology upgrades—it’s about preserving and enhancing business-critical knowledge embedded in legacy systems. We also modernize to support advanced business use cases, including AI/ML, real-time analytics, and increased operational efficiency, ensuring maximum value from your IT investments.
.Benefits
Improved Performance
Refactored applications with improved speed, flexibility and scalability.
Future-Proof Systems
Legacy systems upgraded for compatibility with emerging technologies.
Cost Optimization
Reduced operational costs through modern, efficient architectures.
.Solutions
VSERVE
Revolutionize AI model development with scalable, accurate data enrichment workflows powered by automation for various types of data sets.
IronCloud
Strengthen IT security and compliance across all attack surfaces and industries with centralized management for operational efficiency.
CloudAssist
Centralize and simplify multi-cloud operations with real-time monitoring, planning, budgeting, cost optimization, and automated workflows.
The Integration Challenge Making Sense of Fragmented Cybersecurity Solutions
With an ever-evolving cyber threat landscape, organizations are juggling a growing number of cybersecurity tools and specialized teams to manage them. From basic endpoint detection
The Evolution of Supervised Learning From Data Labeling to Annotation for RLHF
We humans have experienced forms of supervised learning throughout our lives, starting from hearing “good job” from our parents to receiving “employee of the month” awards at work.
The Evolution of Backup From Tape Libraries to AI Innovation Hubs
In the cloud-native era, backup technology has come a long way. Traditional players like Legato Networker (for those who remember) and Veritas NetBackup