Static and predefined definitions of "bad"
There is no way to build enough rules to catch every incident. Static methods can never offer good coverage.
87% of organisations have
Multiple partial and niche views of the environment
Having one tool for every category of problem (application, security, database etc) becomes a problem in itself.
Not enough context and supporting data to enable action
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.
Unomaly detects and alerts on any incident by
automatically detecting new, changing and anomalous data.
Continously learns normal
The algorithm tracks every single event and line of data produced by every system.
Can monitor any software system
Analyses any unstructured log- and event data without parsing.
Detects any incident
As incidents progress they change things and that change creates data.
Offers complete details
Every anomalous data point is presented across the entire environment.
Adapts to the real world
It continuously learns the data produced by systems, and will as such adapt to changes over time.
Realtime
Unomaly is pure realtime. It raises attention to abnormalities or known bad things within less than 100ms.
Add expertise
Experts may tag and define data to make the algorithm even smarter!
Forward and integrate
Push the findings forward to other systems for further alerting with flexible API and push notifications.
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Whitepaper
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Just send data.