Winners' Circle: SolarWinds

Winners' Circle by Rohini Kasturi, Chief Product Officer

Database performance is critical to application performance—it’s the foundation that ensures applications are available and optimized to meet the needs of end users—but hybrid IT and cloud-native apps have evolved traditional database design, management, and monitoring.

The SolarWinds® database performance management portfolio offers tech pros cross-platform solutions to help them manage complexities and provide them with the visibility needed to proactively manage the performance of multi-platform databases no matter the location. This powerful portfolio of solutions—Database Performance Analyzer (DPA), Database Performance Monitor (DPM), Database Insights for SQL Server, and SQL Sentry—has unmatched broad support for the most popular databases that organizations run their business on.

SolarWinds Database Performance Analyzer (DPA) is an on-premises and cloud-deployed product serving the needs of IT organizations at businesses of all sizes. DPA pioneered the use of response-time analysis (also known as wait-time analysis) to surface performance problems from the end-user
perspective. Using response-time analysis, users can look at DPA, see where the problems are, and drill right into the details—typically within three to four clicks.

DPA features machine learning-enabled database anomaly detection and an automated management API. When managing large environments, manually intensive approaches consume time, can be slow to yield actionable insights, and require historical knowledge of baseline performance.

With DPA, customers can save time by not only automating anomaly detection to more quickly find, visualize, and alert when database wait times deviate from the expected, but by also leveraging machine learning capabilities to monitor behavior patterns and gain meaningful insight into what is
expected versus an anomaly.

Using the anomaly detection feature, users can quickly visualize and drill into instances not performing as expected. This moves database performance tribal knowledge from the administrators into the products themselves, allowing for team collaboration and improved performance and optimization.