Event Analytics¶
Idea¶
The Event Analytics Service provides essential functionalities for a data-driven analysis of event data. It enables the user to use statistical analysis to get a better understanding of what is happening inside the system.
Typical use cases for the Event Analysis are alarm management, system troubleshooting and root cause analysis.
Access¶
For accessing this service you need to have the respective roles listed in Analytics Services roles and scopes.
Basics¶
Almost all programmable devices emit event data, each event being represented by a text message with a corresponding timestamp. Event data can be leveraged in order to create economic value. It can be analyzed to extract additional knowledge and uncover useful patterns and hidden relationships between the emitted events. This helps to better understand the system's behavior and dynamics and to drastically increase the effectiveness of system management and support reasoning.
The Event Analytics Service processes event data sets as tuples of the data types time and string.
Event Count¶
The Event Analytics Service provides functionality to divide a given dataset into time intervals of a user defined length and count the number of events per interval. The result lists each interval's start and end time as well as the number of events in this interval. This can be used to identify intervals with high event density and examine these in more detail.
Event Filter¶
Event Filter allows the user to reduce a dataset to its most meaningful state by specifying a list of events to remove. Typically, one would remove events with the following characteristics:
- Already known to be harmful, and thus do not provide additional information
- Already known to be harmless, and thus do not provide additional information
- Coming from an interfering process, and thus can be considered noise
Duplicate Events Removal¶
The Event Analytics Service can detect and remove duplicate events of a given dataset. These can be two successive events caused by the same sensor or identical successive events collected by parallel threads. The service divides the dataset into user defined time intervals, determines duplicate events within each interval, and removes the duplicates.
Pattern Matching¶
The Event Analytics Service can search for user defined patterns in an event list. The service moves a sliding window along the given dataset and detects, which events match with the given patterns. The result lists the user defined patterns along with the matched events and the time window, in which they occur. This can be used to detect complex events derived from a pattern event sequence or to extract important information from a log file.
Top Events¶
The Event Analytics Service provides functionality to group events with identical event text and count the occurrences. The result lists the different events with their number of occurrences in descending order. It can be used to save time in the analysis of large log files, when looking for most frequently occurring events.
Features¶
The Event Analytics API exposes its endpoints for realizing the following tasks:
- Find most frequently occurring events within the complete input dataset.
- Reduce the dataset to the most meaningful by removing the specified events.
- Partition input event sequence into segments and count all event occurrences in each segment.
- Partition input dataset into multiple segments and remove duplicate events within each segment.
- Match the patterns on the events input list.
Example Scenario¶
The manager of a brewery wants to get deeper insight into the factory's production line to find possible reasons for repeatedly occurring unexpected downtimes.
The manager collects all available event data between successively occurring downtimes, feeds these into the Event Analytics API and evaluates the analysis.
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