There is no way to build enough rules to catch every incident. Static methods can never offer good coverage.
Having one tool for every category of problem (application, security, database etc) becomes a problem in itself.
Without full and true details of root causes engineers can’t act. Many early warnings and indications are lost due to lack of supporting, qualifying data.
The algorithm tracks every single event and line of data produced by every system.
Analyses any unstructured log- and event data without parsing.
As incidents progress they change things and that change creates data.
Every anomalous data point is presented across the entire environment.
It continuously learns the data produced by systems, and will as such adapt to changes over time.
Unomaly is pure realtime. It raises attention to abnormalities or known bad things within less than 100ms.
Experts may tag and define data to make the algorithm even smarter!
Push the findings forward to other systems for further alerting with flexible API and push notifications.
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