Google Search Shopping API Migration
Successfully migrated backend APIs for Google Search's shopping features, impacting 24M daily users while modernizing the serving architecture using latest Search Frameworks.
Project Overview
Led the migration of critical backend APIs serving Google Search's shopping features to a modern, scalable architecture.
The project involved refactoring legacy code, updating data pipelines, and ensuring zero-downtime deployment for millions of daily users.
Collaborated with senior engineers to design and implement comprehensive testing strategies and rollback mechanisms.
Key Features
- Migrated legacy APIs to modern frameworks
- Improved system performance and scalability
- Comprehensive testing and monitoring
- Enhanced error handling and recovery
- Detailed migration documentation
Challenges & Solutions
Scale and Reliability
Ensured the migration maintained 99.99% uptime while serving 24M daily users, implementing sophisticated traffic splitting and monitoring.
Legacy System Integration
Successfully bridged old and new systems during the transition period, maintaining data consistency and API compatibility.
Project Info
Timeline
3 months
Role
Software Engineering Intern
Technologies
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