Traditionally, data goes to die in big databases. But instead of simply indexing and storing data, Unomaly effectively keeps track of every single unstructured data point produced over time through advanced profiling and machine learning.
Unlike traditional approaches that look for things that are known bad or categories of symptoms, Unomaly surfaces the universally valuable data based on the properties of being unknown and anomalous. Thereby being able to detect any incident no matter complexity or nature.
Traditionally, data volume is a headache that severely limits its applications. Through an innovative data architecture and licensing model Unomaly drastically limits the need to store, transmit and pay for data at large scale.
Unomaly simply installs by booting an auto installing iso-image on a system that resides close to the assets you want monitored - be it on premise, in the cloud or in a hybrid manner.
Unomaly can be installed as a single instance, or multiple instances in a distributed architecture. On physical hardware, virtual or cloud environments.
Every IT system and the software that runs on top of it produces realtime data in the form of logs and events.
You stream this data to the Unomaly-instances which will consume it regardless of format, structure and without any form of parsing. This means it can monitor any IT system in realtime- from standard systems to legacy and custom. And full stack, from operating system to services and applications.
You may also plug into existing big data repositories, log management systems and SIEM systems to have the analysis automated.
Unomaly analyses every event in realtime and continuously consumes every parameter, frequency and change into system profiles. As a systems evolve, so does its data and the baselines that Unomaly keeps.
These system-centric profiles provides you with a real world view of what each component of the infrastructure is doing on a normal basis – free from limitations on data or bias involved with choosing the “right data”. Unomaly holds the truth as expressed by the systems themselves.
Unomaly exploits the fact that incidents are not part of normal.
By uncovering new, different or changing data it is capable of tying them together into scored situations and chains of data. By doing this Unomaly gives attention to the data that explains a given situation - always with a focus on root cause, which is the first anomaly in the chain. But still with the complete details.
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