Monday, April 21, 2008

On events, non-events and metrics

I would like to talk about events, non-events and metrics (aka. facts). Facts are elements of truth usually expressed as name=value pair. Some examples of factual information: current_tempreature=30F, or CPU usage=30%, of course this assumes that the measurement instrument being used is accurate. When monitoring applications, systems or business services, facts are the key performance indicators that reflect the state, availability and/or performance of a given service, system or a subsystem.

So what are the events and how they are different from facts? Event is a change in state of one or more facts. A “High CPU usage” event simply means that CPU usage has exceeded a certain threshold defined by the observer. So events are just the vehicles by which changes in facts are carried from the source to the observer. Therefore most events if not all have the following common attributes {source, timestamp, variable1, variable2...., cause=other_event_list}. Timestamp is simply a time associated with the change of fact state or attribute. Example: temperature changed from 20 to 30F. One can design a event generator that creates add, removed, change events every time a fact is added, removed or changed. These events in turn can feed into a CEP or EP engine for processing.

It is also worth noting that detecting non-events should always be in the context of time, (for example non-occurrence within last 5 min or 24 hours). When the time interval expires it is easy to check for occurrence of certain events and evaluate the remaining CEP expression.

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