Case Study 7: Performance Optimization of SaaS Database
Challenge:
A sluggish database compounded by inefficient queries, poor indexing techniques, and continuous overloading has been causing a slowdown in application responses of an online company and, consequently, a decline in customer satisfaction. An improvement was thus required on the performance of most database queries and, in line with that, the general application responsiveness. A possible solution to this was a high-performance database.
Solution:
The following were applied by OKRUTI with regard to a thorough performance audit across the database:
Optimizing SQL Queries– The existing query has been completely refactored, and the indexing has been thoroughly performed such that the input will execute faster.
Reclassification of the Collisions of Index PostgreSQL– The indexes have been restructured in almost all the configurations to reduce the search time and increase search efficiency.
Caching with Redis and Caffeine– This added in-memory cache and thus avoided many database hits to make the application run faster.
Load Balancing and Partitioning– Load partitioning of databases Enhanced performance for scalability and fault tolerance.
The data retrieval was improved vastly due to these enhancements, as it resulted in the application’s high responsiveness to peak loads.
Results achieved:
✔ Threefold increase in speed of query execution, thus improvement of all-round database efficiency.
✔ Reduced loading into the database making the database highly scalable and available.
✔ Increased speed of application, thus seamless user application experience.
✔ Improved customer satisfaction leading to more engagement and retention of customers.
Feedback from a customer:
“With OKRUTi’s dextrous database optimization, performance on our system is as smooth and fast as ever.”