FinTech Organization

Overview

A rapidly growing FinTech organization needed a database solution to keep up with growing transactional volumes, safeguard data, manage regulatory compliance, and provide real-time analytics for pricing engines and loan risk assessments.

Business Situation

• Keep up with growing transactional volumes from an increasing number of customers and dealers.
• Safeguard data, properly manage regulatory compliance, and archive data.
• Provide real-time query-analytic data to inform pricing engines and loan risk assessments.

Technical Situation

• Monolithic databases experienced performance issues during peak periods.
• Scaling and backups were manual with opportunities for downtime.
• Manual patches and lack of monitoring left security holes from audits.

Recommendations

• Moved all transactions and analytic databases into Amazon RDS – PostgreSQL.
• Utilized Multi-AZ deployment for high availability and automatic failover.
• Used read replicas to support real-time analytics without harming primary workloads.
• Automated backups and patching. Encryption-in-transit and at-rest for compliance.
• Used AWS IAM for fine-grained access control.

Architecture Overview

• Amazon RDS (PostgreSQL) deployed as the primary DB.
• Multi-AZ + Read replicas for failover and scale-out.
• AWS CloudWatch & Performance Insights for proactive monitoring.
• S3 + KMS for long-term backup storage with encryption.

Benefits & Impact

• 99.95% uptime achieved with Multi-AZ RDS setup.
• Decreased operational overhead by 40% through backup/patching automation.
• Higher regulatory compliance coverage with automatic encryption and built-in auditing.
• Faster decision-making for pricing engine queries.