Introducing Anomaly Detection in Database Performance Analyzer 12.1
John O Callaghan
![John O Callaghan]()
John O Callaghan
Accelerating business growth through our global network of channel Partners. Leveraging the skills and knowledge of the channel community and providing the resources they need to succeed.
DPA uses an anomaly detection algorithm to determine if the wait times for a database instance are significantly higher than usual. In some cases, high wait times are normal and expected. With anomaly detection, DPA can alert you to unexpected increases in wait times, and help you investigate these anomalies.
Key Benefits of DPA
- Quick, easy, and reliable performance troubleshooting tracked in real time and historically
- Find inefficient workload, aggregated by table, for indexing opportunities—an “X marks the spot” tuning analysis
- Multi-vendor relational database support for your database environment in a single tool
- Blocking analysis: what is blocking and a hierarchy of what is being blocked, plus overall impact
- Integration with other SolarWinds products for more complete visibility (applications, servers, storage, hypervisor, network, and more)
- Quick, easy, and low-effort installation, configuration, and administration
- Machine learning-powered anomaly detection and easier scalability with the management API