SQL Server Monitoring Meets Machine Learning
SolarWinds sponsored on-demand webinar
Webcast Abstract
Finding SQL Server® performance anomalies can be tough and time-consuming. You can easily spend hours chasing a problem that results in a minor gain when numerous problems, that can easily be solved, are lurking. We’ve found your new go-to product, Data Performance Analyzer (DPA) – it helps solve where and when issues arise.
Join us for a look at how the SolarWinds® DPA product team is using machine learning to automate wait behavior knowledge within your database environment. We used to rely on tribal knowledge to know if that spike was a good thing, bad thing, or perhaps just a “meh” thing. The challenge with this approach is that it isn’t scalable.
In this 30-minute webcast, we’ll walk through how DPA is using machine learning to grow smarter about your wait behavior and how DPA can even alert you when something deviates from what should have occurred. Automating the value of tribal knowledge means you don’t need to know the behavior of the hundreds or thousands of databases you support. We’ll tell you all about it.
In this session, you will learn about:
- The value of anomaly detection and even some cautions on its use
- Identifying when waits deviate from expected behavior and alerting on it
- Our new API for automating database monitoring
- Our new free SQL Plan Warnings tool
As a bonus, we’ll take a quick peek at our new management API that allows automation of the mundane task of managing your database monitoring. And as a bonus, we just released a new free tool that automates finding query plan warnings your optimizer is trying to tell you about.
Find anomalies hiding in plain sight—register for the webcast to find out how.
Speaker - Jared Hensle and Brian Radovich
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