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Stored Procedures to Java Modernization
Hexaware Technologies Inc
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Hexaware’s stored procedures to java modernization service enables organizations to modernize their legacy applications to modern, scalable, and cloud-native environments with very minimal performance constraints. With up to 70% automation, this offering accelerates modernization timelines, reduces operational costs by 40%, accelerates feature deployment by 40%, reduced TCO by 60% and increases developer productivity. The service is tailored to address challenges like legacy architecture, high operational costs, limited scalability, performance constraints and security vulnerabilities, transforming them into opportunities for innovation and cost optimization.
Powered by Hexaware’s US patented AI-powered Amaze® accelerator, the offering combines automated deep assessment, agentic AI-driven transformation, and rigorous validation to accelerate transformation. Amaze® automates up to 70% of the modernization effort, converting legacy stored procedures into latest performance optimized Java applications with functional parity and integration fidelity.
Solution Portfolio Overview
- 70% automation through tools like stored procedures modernization agent, reusable patterns, and AI-powered models.
- Dedicated agents: Stored Procedures Modernization, Batch Modernization, Test Automation, DB Replatform, Microservices, and Library Upgrade.
- Agentic AI powered assessment, planning, transformation and validation
- Pilot migration of 3 stored procedures
- Integration with modern AI/ML technologies for enhanced performance and scalability.
- End-to-end support, including discovery, advisory, execution, testing, hypercare, and managed services.
- Enterprise-grade security, compliance, and audit capabilities during and after migration.
- Reduce TCO by 60% and accelerate feature deployment by 40%.
- Cut operational downtime by 40% through containerized microservices.
- Improve developer productivity with standardized tech stack and reusable frameworks, reducing effort by 30%.
- Lower technical debt, enhance maintainability, and enable faster innovation.
- Mitigate risks via dependency analysis, parity validation, and robust security patterns.
- Remediate licensing and technical debt to reallocate spend toward enhancements.
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