These volatility-driven surges resulted in:

• •Saturated compute resources
• •Elevated API response times
• •Service inconsistency across retail, institutional, and partner integrations

With rapidly expanding market access and multi-region infrastructure, the exchange's existing MongoDB-based architecture struggled to scale reliably under peak demand.

The organization required a modernization initiative that would:

• •Support a no-downtime migration of a critical live production system
• •Improve stability and performance during volatility-driven load bursts
• •Strengthen global availability and fault tolerance
• •Provide a scalable operational foundation for growing asset coverage and international expansion

This required precise orchestration and senior reliability engineering expertise.

Key activities included:

• •Scalable data model architecture: Designed an optimized DynamoDB schema supporting real-time price delivery and high-volume historical lookups.
• •Performance & load-aware tuning: Reduced query overhead and CPU/memory load through improved request shaping and indexing strategy.
• •Multi-region deployment: Rolled out deployments across multiple AWS regions to reduce latency and improve resilience against regional failure scenarios.
• •Operational uplift: Introduced observability improvements, modern monitoring pipelines, and actionable alerting thresholds aligned with SRE best practices.
• •Risk-mitigated rollout: Executed a phased migration with traffic shadowing, automated failback paths, and extensive performance testing prior to cutover.

The migration was completed without impact to live users or trading activity.