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Software Development
Amazon RDS MySQL, AWS CodeBuild, Amazon EventBridge, Amazon CloudWatch, AWS IAM, AWS Secrets Manager, Amazon SNS, Amazon S3
Intelligent Data Lifecycle Management framework with automated partition lifecycle management, observability, and governance policies
Abright Lab is a software company with multidisciplinary digital product experts focused on user experience, design, and development. They extend the design and development departments of the most innovative companies. Albright Labs uses digital product design and development expertise to achieve quantifiable business goals, build a strong development framework early on, and empower their customers to continue maintaining consistent product.
Query Performance Improvement
Maintenance Window Reduction
Scalability Without App Changes
The client faced significant database scalability challenges as rapidly growing transactional and notification data led to slow query performance, increased storage consumption, and delays in reporting and historical data retrieval. At the same time, compliance-driven data retention requirements made it difficult to manage historical records, as traditional deletion methods introduced performance overheads, replication delays, extended maintenance windows, and rising storage and backup costs due to the absence of an effective data lifecycle strategy.
• Intelligent Range Partitioning – Date-based monthly RANGE partitioning on high-volume tables using transaction timestamps, enabling partition pruning to restrict scans to relevant partitions and reduce query overhead.
• Automated Partition Lifecycle Management – A scheduled framework to auto-create future partitions and retire expired ones via partition drop operations, reducing maintenance from hours to seconds.
• Query Performance Optimization – Reporting and audit queries optimized with partition-aware filtering, reducing I/O and improving response times without application changes.
• Operational Governance & Monitoring – Amazon CloudWatch monitoring and custom dashboards tracking partition growth, pruning effectiveness, and retention compliance with automated anomaly alerts.
• Compliance & Data Retention Controls – Automated partition expiration enforcing retention policies while maintaining audit readiness and regulatory compliance.
• Cost Optimization Strategy – Logical data segmentation and automated retention controls reducing storage consumption and delaying infrastructure expansion needs.
Implemented a scalable partition-based data lifecycle solution that improved query performance by up to 90%, reduced maintenance operations from hours to seconds, optimized storage usage, enhanced compliance, and lowered operational costs.
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