AUSTIN, Texas, March 14 (Bernama-GLOBE NEWSWIRE) —SolarWinds (NYSE:SWI), a leading provider of powerful and affordable IT management software, today announced the availability of machine learning-enabled database anomaly detection and an automated management API in the latest version of Database Performance Analyzer (DPA). The company also introduced a broad refresh of its IT operations management portfolio, collectively designed to improve support for monitoring critical IT services and extend support for monitoring private cloud and converged infrastructures.
“A slow-running database can significantly affect the end-to-end performance of applications and the experience of end users,” said Joe Kim, executive vice president and global chief technology officer, SolarWinds. “With new anomaly detection capabilities, SolarWinds Database Performance Analyzer 12.1 empowers database professionals to more accurately identify and respond to performance incidents. We take pride in providing tools designed to allow customers to keep their businesses running smoothly while shifting to a more proactive management approach.”
