Solution

Infrastructure setup:
Quantiphi established a secure landing zone on Google Cloud to support future growth.
- Automated the generation of CI/CD pipelines for both application and infrastructure deployments using GitHub Actions, facilitating seamless end-to-end delivery.
- Leveraged a Terraform Code Debugger to identify and fix errors in Terraform scripts, saving developers time and streamlining the debugging process.
- Employed Codeaira, Quantiphi’s Gen AI-powered Migration Productivity Suite of Accelerators, to auto-document in Terraform scripts, ensuring high-quality, maintainable code.
This setup laid a solid foundation for scalability and efficiency, improving load times and performance.
Application Refactoring & Data Migration:
Quantiphi improved application performance and scalability through key component refactoring. CodeAira’s MigrationQraft-Code Converter enabled the smooth conversion of Snowflake queries to BigQuery, and we migrated data to BigQuery, unifying data management and eliminating silos. This integration enhanced data accessibility and decision-making.
Modernized Application:
The application was deployed on Google Kubernetes Engine (GKE) to boost scalability and performance. Elastic Cloud integration secured sensitive data, ensuring compliance with industry standards. This modernization improved application reliability, security, and readiness for future demands.

Results

Rapid Time-to-Value:
Successful migration in just 5 months, surpassing the initial 8-month estimate and empowering the client to introduce new features faster.
Significant Cost Savings:
Enhanced cost efficiency, empowering the client to advance incremental development and transfer more applications to Google Cloud.
Enhanced User Experience:
Improved application performance and reliability have led to increased user engagement and loyalty.