Case Studies

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

A global AdTech platform dealing in millions of transactions daily is experiencing heavy slowdowns with their database environment. As the system grew, so did query execution lags, which would directly impact real-time campaign performance and user experience. They needed a scalable and dependable SQL infrastructure that would manage high data loads with no speed compromise.

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 Through the EXPLAIN ANALYZE command, it was determined that missing indexes and out-of-date statistics were among the major causes of inefficiency.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.

Business Impact

Faster Query Response

Improved query execution speed by more than 60%, which allowed for smoother and faster application performance.

Scalable Infrastructure

Stabilized the server environment to accommodate an additional 300+ organizations during the following year.

Real-Time Visibility

Proactive monitoring and alerts allowed the DBA team to detect and resolve issues instantly.

Simplified Data Management

The partitioning of tables made data handling and maintenance much more efficient and future-ready.

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