Our client faced a significant challenge in migrating their legacy Point of Sale (POS) system and transactional database to a cloud-based architecture. The migration process was complex and time-consuming as they had a wide range of stores.
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It was critical for the client to ensure real-time data synchronization between the legacy and the new POS systems, encompassing customer information. The primary objective was to set up a bidirectional synchronization, enabling seamless data transfer between Oracle and PostgreSQL databases.
Furthermore, the client wanted to optimize database performance, specifically during high demand spikes or traffic on critical business days. Hence, a strategic capacity planning initiative was essential to effectively fine-tune the current RDS (Relational Database Service) instance class.
Solution: Building an efficient data sync framework and optimizing database performance
Our team proposed and executed a comprehensive solution to address the client’s unique challenges.
Tech Stack
Amazon Aurora – PostgreSQL
AWS Database Migration Service
- Efficient data sync framework We implemented an efficient data sync framework by harnessing the capabilities of Oracle Advanced Queue to capture data changes from the Oracle database. Subsequently, this data was staged, transformed, and migrated to PostgreSQL’s staging tables using the ongoing replication option offered by AWS Database Migration Service (DMS). To consolidate the staged data into the new POS database tables, we utilized Pgplsql scripts.
- Module-level data management To ensure data integrity and streamline the synchronization process, we meticulously managed database tasks at the module level.
- Database performance enhancement A comprehensive analysis of data sync performance and data volume led to the strategic decision to upgrade the RDS instance class to Graviton processors. This upgrade resulted in a substantial overall improvement in system performance.
- Data archiving for leaner databases To maintain a lean database, we implemented data archiving by transferring historical data to AWS S3 and purging it from the new POS database. This approach significantly reduced the database size, from 8 TB to 6 TB, resulting in a noticeable enhancement in application performance.
Benefits: Enhancing data synchronization and reducing operational costs
The implementation of transactional database modernization & bidirectional synchronization delivered several tangible benefits such as,
- Cost savings: Data archiving reduced storage costs while maintaining optimal application performance.
- Seamless retail operations: Real-time data sync between legacy and new systems enabled uninterrupted retail operations.
- Improved scalability: The modern data architecture enabled the client to scale their operations efficiently, adapting to varying workloads.
- Enhanced database performance: Optimizing the RDS instance class improved database performance, increasing application responsiveness and minimizing downtime.
- Improved customer satisfaction: With a robust database infrastructure, the organization could meet customer demands seamlessly, ensuring reliable service and higher customer satisfaction.
Ready to transform your retail operations?
If you’re struggling with complex data migration or striving to enhance your database performance, we have the expertise to tackle them head-on.
Our experts at zeb will work closely with your team, understand your specific needs and provide tailored strategies that will elevate your data management capabilities.
Partner with us today and embark on a transformational journey towards data excellence.
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