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How We Helped a Leading AdTech Platform Boost Query Speed by 60% and Improve Overall Database Performance
Delivering faster performance and seamless user experience through intelligent optimization and proactive monitoring.
Overview
The Challenge
Query performance degraded gradually as the platform scaled, with tables growing large enough to slow every query that touched them
Historical and current data sat together in the same tables, forcing queries to scan far more rows than necessary
Missing indexes and outdated statistics compounded the problem, pushing system load higher across every region the platform served
Our Solution
Ran a full database health check audit to baseline the environment, covering query execution plans, index coverage, table growth patterns, and server resource utilization before making any changes
Ran a full diagnostic using EXPLAIN ANALYZE to trace query execution paths, tracing the root causes to missing indexes and stale statistics
Built targeted indexes and scheduled automated statistics updates to keep the query planner working with current data
Deployed a monitoring layer combining AWS Monitoring, Grafana, and Percona with custom alerting, and stayed engaged post-launch to confirm the gains held under real production load.
Benefits
Business Impact
Faster Query Response
Average query time dropped from 340ms to 130ms, a 60 percent improvement that translated directly into smoother, faster application performance.
Scalable Infrastructure
The stabilized environment accommodated an additional 300+ organizations during the following year without a drop in performance.
Real-Time Visibility
Proactive monitoring and custom alerts let the DBA team detect and resolve issues instantly, before they affected users.
Simplified Data Management
Monthly table partitioning made data handling and maintenance significantly more efficient and future-ready.
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