Anomaly detection has become imperative in business
What is an anomaly?
Determining what's an anomaly is not an easy task neither for humans or machines.
Why companies need anomaly detection?
can have any number of sources, and as they ingest data they proceed tonormalize it into [events](#events) \(see next section\). This sets the stage
A "transform" are machine learning models that can learn how to tranforms raw unstructured data from
A "destination" is a destination for events. Each sink's
interacting with. For example, the [
socket sink][docs.sinks.÷] will
design and transmission method is dictated by the downstream service it is
stream individual events, while the
aws_s3 sink will
buffer and flush data.
All items (both logs and metrics) passing through Vector are known as an "event", which is explained in detail in the data model section.