Diversified Financial Services Enterprise

Background:
Our client, is a highly diversified and globally integrated financial services enterprise, They offers a comprehensive suite of premium trading services, including asset management, wealth management, investment banking, advisory services, proprietary trading, life insurance, and brokerage. With a focus on serving institutional investors, they aim to provide top-tier financial experiences.

Challenges Faced:

Previously, the client managed their data across multiple vendors, leading to complexity and limitations. Their application struggled to handle roughly 1,000 requests per second due to an unoptimized database. Additionally, they needed to offer access to a comprehensive archive of historical data spanning five years. Scalability was crucial, with an initial database size of close to 500 GB and a projected annual growth of approximately 30%.

Objectives:

• Enhance Data Management: Simplify data management by consolidating into a single platform.
• Improve Database Performance: Optimize database performance to handle high request volumes.
• Ensure Scalability: Implement a scalable solution to accommodate future growth.
• Facilitate Data Migration: Seamlessly migrate data from MySQL to Aurora PostgreSQL.

Solution Summary:

Implementing Aurora PostgreSQL addressed the challenges of database optimization and scalability. Its automatic scaling capabilities efficiently handled the client's workload, while consolidating data management streamlined operations and enhanced reliability. The migration project involved a structured approach, including compatibility assessments, documented cutover plans, and fallback strategies, ensuring a smooth transition from MySQL to Aurora PostgreSQL.

Tech Stack:

• Source Database: MySQL
• Target Database: Aurora PostgreSQL
• Development Technologies: Schema Conversion Tools (SCT), SSIS Package
• AWS Products and Services: Amazon Aurora PostgreSQL, Amazon RDS, Schema Conversion Tools, Amazon EC2, Amazon S3

Outcomes:

• Enhanced Database Performance: Improved database performance to efficiently handle high request volumes.
• Streamlined Data Management: Simplified data management by consolidating into a single platform.
• Scalable Solution: Implemented a scalable solution to accommodate future data growth.
• Successful Migration: Seamlessly migrated data from MySQL to Aurora PostgreSQL, ensuring minimal disruption to operations.

By leveraging our expertise in database management and migration projects, we delivered a robust and scalable solution that met the evolving needs of our client, enhancing their data management capabilities and overall operational efficiency.