Responding to changes in data with alerting

So far in the chapter, we've looked at different ways in which users can interact with various types of data in real time. Analysts can easily explore and interrogate data and find events of interest and the consequences they may have on their use case.

Events of interest once discovered through analysis can happen multiple times in a system. Interactive analysis workflows involving a human do not necessarily scale in these cases, and there is a need to automate the detection of these events. This is where alerting plays an important role.

Kibana alerting is an integrated platform feature across all solutions in Kibana. Security analysts, for example, can use alerting to apply threat detection logic and the appropriate response workflows to mitigate potential issues. Engineering teams may use alerts to find precursors to a potential outage and alert the on-call site reliability engineer to take necessary action. We will explore...