Database performance optimization can be an incredibly difficult task, particularly when working with large-scale data where even the most minor change can have a dramatic (positive or negative) impact on performance. Although newer relational databases and faster hardware run most SQL queries with a significantly small response time, we at Scalability Engineers believe that there is always room for improvement.

The goal of our experts is to minimize the response time of your queries by making the best use of your system resources. The best use of these resources involves minimizing network traffic, disk I/O, and CPU time. This goal can only be achieved by understanding the logical and physical structure of your data, the applications used on your system, and how the conflicting uses of your database might affect performance.

Below are some of thepractices that we follow to optimize the performance :

• ➤ Monitor resource Usage- performance counters


• ➤ Database statistics- Update Statistics


• ➤ Find Slow Queries with SQL DMVs


• ➤ SQL Server Extended Events


• ➤ Create optimized Indexes


• ➤ Pre-determine expected growth


• ➤ Review the query execution plan


• ➤ See what latest features like column-store, in-memory can be applied.


• ➤ Select limited data