The original architecture, featuring one master and two slave nodes, struggled with scalability and performance due to high CPU utilization from heavy read traffic. The new architecture introduced Route53 reader and writer endpoints to distribute reads and route writes to the master for data consistency. Parameter group adjustments optimized resource usage, while query rewrites, index optimization, and data archival significantly improved query performance.
Existing architecture with one master and two slave nodes couldn't efficiently distribute read traffic, resulting in high CPU utilization on the master and bottlenecks as traffic grew.
Inefficient queries and large table sizes led to slow query execution, negatively impacting user experience.
The setup lacked high availability and resilience, increasing the risk of significant downtime if the master node failed.
With read traffic balanced across replicas, the system scaled efficiently to handle higher traffic loads.
Optimized resource utilization and query execution resulted in reduced CPU utilization (below 20%) and faster response times.
Multi-AZ setup with automatic failover ensured minimal downtime, with seamless transitions to the standby replica during disruptions.
The system met high availability and resilience requirements, validated through customer testing, and improved operational efficiency, supporting higher traffic volumes and enhancing customer experience.
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