Case Studies

How a Leading AdTech Platform Enhanced Database Performance and Boosted Query Speed by 60%

Delivering faster performance and seamless user experience through intelligent optimization and proactive monitoring.

Overview

As SaaS continued to grow, its database performance couldn’t keep up - frequent slowdowns and unexpected downtimes started affecting users. By working closely with the GeoPITS team, SaaS was able to stabilize its SQL environment, improve performance, and maintain 99.99% uptime, ensuring a faster and more reliable experience for its customers.

The Challenge

The database used by the client was becoming slower with each passing day making it take long before their applications could run in various regions.

The tables in the databases were now very massive and old information was still present with current data and this took longer time to execute the queries.

The lack of indexes and the presence of old statistics also resulted in inefficient queries and the use of more system load.

Our Solution

The GeoPITS team first did an in-depth analysis of the database environment of the client to identify any performance bottlenecks. Through the EXPLAIN ANALYZE command, it was determined that missing indexes and out-of-date statistics were among the major causes of inefficiency.

New indexes were created, and a maintenance plan was scheduled for regularly updating statistics to ensure consistent performance.

Also, table partitioning was applied to organize the data monthly for easier query response time and maintenance of the data.

A robust monitoring system was also introduced using AWS Monitoring, Grafana, and Percona, combined with custom-written alert scripts that provided real-time performance insights. The team continued monitoring post-optimization to ensure long-term database stability and efficiency.

Benefits

The response time of queries was also more than 60 improvements, which led to smoother and quicker application operation.

The system was now more stable without any inexplicable slows downs, even when there was high traffic.

The ability to detect and address possible problems in real-time allowed the DBA team to achieve a stable health of the database.

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