Quantiphi's Qatapult- Application Modernization Factory on AWS

As enterprises modernize their digital foundations, transforming legacy applications has become a key enabler of agility, performance, and innovation. However, modernizing applications for cloud brings its own set of complexities, including interoperability challenges, high resource requirements, and significant planning efforts.

Quantiphi's Qatapult Application Modernization Factory, a suite of modernization and migration factories for AWS, delivers secure, cost-efficient modernization to AWS through an AI-powered, factory-driven approach. Our SNAP (Strategize-Navigate-Automate-Persist) methodology, enhanced with Gen AI capabilities, ensures seamless, compliant, cost-optimized modernization across frontend, middleware, backend, and database layers.

Modernization Approach: Qatapult provides holistic coverage throughout the SDLC & streamlines modernization to AWS in a phased manner using SNAP methodology-

• Strategize: We assess existing systems, identify modernization opportunities, and evaluate UI/UX, code quality, and interoperability.
• Navigate: We map dependencies, select appropriate modern frameworks and AWS services, and define the modernization blueprint.
• Automate: We apply intelligent tooling to auto-generate test scripts, orchestrate CI/CD pipelines, and automate validation across application layers.
• Persist: We ensure continuous optimization through monitoring, bug fixing, incident management, and long-term performance tuning.

Key Components: Qatapult Application Modernization Factory harnesses specialized modernization pipelines for frontend, middleware, backend, and database layer, which leverage AI powered microsolutions for acceleration & rapid automation of purpose-specific source to target (AWS) conversions-

• Frontend: Automated UI Component Discovery & Framework Modernization. Examples of key source to target conversion dispositions include: HTML / CSS to Angular / React, Angular to React / Vue
• Middleware: Automated interoperability Analysis & Middleware Conversion. Examples of key source to target conversion dispositions include: Apigee X to Amazon API Gateway, REST to GraphQL, Kafka On-premises to Amazon MSK
• Backend: Automated Code Review, Documentation, Conversion & Refactoring. Examples of key source to target conversion dispositions include: Microsoft .Net to Python, Cobol to Java
• Database: Automated Data Layer Discovery, Schema & Object Conversion. Examples of key source to target conversion dispositions include: Oracle / SQL Server to Amazon Aurora, MongoDB to Amazon DynamoDB

Key Features:

• Automated Discovery: Automatically identifies and inventories all your applications, their components, and configurations.
• AI-Powered Code Conversion: Intelligent transformation of legacy code to modern, cloud-native equivalents.
• Dependency Mapping: Quickly identifies and maps application dependencies and network connections for intelligent modernization planning.
• Performance Optimization: Ensures applications are optimized for cloud performance after modernization.

Outcomes: Qatapult streamlines end-to-end Application migration, delivering ~30% faster workload migration & ~40% process automation, Enterprises can also achieve the following business outcomes:

• Reduced Migration Risk and Downtime: Automated processes, continuous replication, and robust testing capabilities minimize data loss risk, and application disruption
• Enhanced Application Performance: Modernized applications deliver better performance, scalability, and user experience.
• Operational Efficiency: Minimize manual intervention and reduce IT operations tickets
• Cost Optimization and Savings: Our offering helps identify and capitalize on cost-saving opportunities post-migration
• Robust AWS Foundation: AWS well-architected framework & best practices adoption with a compliant & secure infrastructure

Contact us today to get started at jim.keller@quantiphi.com