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    Java Modernization - 1.8 or lower to 17 or greater

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    Reduce operational costs and eliminate security and compliance risks by modernizing your legacy java applications into modern, scalable, and cloud-native solutions — comprehensive assessment, Pilot for 2 apps, and a clear roadmap to transform your java environment by harnessing advanced agentic AI-powered automation to transform complex applications into highly optimized and performance driven ecosystem. Delivering up to 70% automation, this solution significantly reduces manual effort, accelerating development and time-to-market while minimizing business disruption. Clients achieve up to 45% reduction in total cost of ownership, accelerate feature deployment cycles by 40%, and cut operational cost by 40%. This empowers enterprises to eliminate technical debt, optimize costs, and build future-ready applications

    Overview

    Estimated cost: USD 50,000 with a duration of 6 weeks for assessment and pilot for 2 applications

    Hexaware’s 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% 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 complex Java environment into performance optimized applications with functional parity and integration fidelity.

    Key Features:

    • 70% automation through tools like Java Upgrade Assistant, reusable patterns, and AI-powered models.
    • Agentic AI powered assessment, planning, transformation and validation
    • Pilot migration of 2 legacy java applications
    • Integration with modern AI/ML technologies for enhanced performance and scalability.
    • Deployment of applications on AWS with CI/CD pipelines for seamless integration.
    • End-to-end support, including discovery, advisory, execution, testing, hypercare, and managed services.
    • Enterprise-grade security, compliance, and audit capabilities during and after migration

    Business Benefits:

    • Reduce TCO by 45% and operational costs by 40%.
    • Address known CVEs and mitigate risks associated with unsupported systems.
    • Upgrade to frameworks compliant with modern security standards.
    • Faster API response times with Java 17 or higher (52% improvement compared to legacy java versions).
    • 40% faster feature deployment cycles and reduced downtime through containerization.
    • Standardized tech stack and reusable frameworks reduce development efforts by 30%.

    Outcomes:

    Clients receive immediate value from a comprehensive assessment report and validated pilot migration of 2 applications that informs a low-risk, enterprise-wide modernization roadmap. Hexaware’s AI-powered and automation-led modernization journey minimizes manual effort, de-risks transformation, and delivers scalable, cloud-ready application environment aligned with strategic business goals. This unlocks cost savings, operational agility, and accelerates digital transformation.

    Highlights

    • Amaze® accelerator with the help of AI agents delivers up to 70% automation in assessment and code conversion, reducing manual effort and migration timelines.
    • Pilot migration of 2 applications validates data accuracy, performance, and seamless transition to Java 17 or higher
    • Achieves up to 40% reduction in operational costs by migrating from Java 1.8 or lower to Java 17 or greater

    Details

    Delivery method

    Deployed on AWS
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