SolarWinds® Database Performance Analyzer (DPA) supports a wide range of proprietary databases to give a holistic picture of performance.
SolarWinds® Database Performance Analyzer (DPA) is a comprehensive database performance monitoring and analysis tool, designed to provide a global view of database performance through the integration of multi-dimensional metrics and intelligent analysis. Its core functions and advantages include:
Cross-platform performance monitoring
Supports multiple database management systems (such as Oracle, SQL Server, MySQL, DB2, Sybase, etc.), covering local, virtualized and cloud environments, and enables unified management through a single console.
Provide high granularity data collection (with a resolution of per second), real-time tracking of thousands of metrics, and display historical and current performance trends through a visual interface.
Response Time Analysis and Bottleneck Location
By using the response time analysis method, SQL query performance issues can be accurately identified, including wait events and resource contention, and the root causes can be located through intuitive charts (such as bar charts).
Supports filtering and querying by user, application, or time range to accelerate fault diagnosis. Intelligent optimization and anomaly detection.
Integrate machine learning algorithms to automatically detect abnormal database behaviors (such as sudden load changes or abnormal queries), and provide expert-level tuning suggestions (such as index optimization and SQL statement refactoring).
Built-in table tuning advisor and SQL performance analyzer help optimize critical queries.
Real-time alerts and collaboration features
Configurable custom threshold alerts notify the team via email, Slack, and other platforms to ensure timely response to performance issues.
Developers can access read-only performance data in the production environment to facilitate cross-team collaboration.
Historical Analysis and Capacity Planning
Long-term storage of performance data (high-granularity data stored on demand, low-granularity data retained by default for one year), supporting retrospective analysis and trend prediction, assisting in resource planning. 。
DPA integrates performance metrics, anomaly detection and tuning suggestions through the above-mentioned functions, providing an end-to-end performance management solution for database administrators and development teams.
