OMEGAMON AI for CICS space

Dashboards in this space focus on identifying anomalies within CICS functioning.

Example of an OMEGAMON AI for CICS starter dashboard

The following image displays a summary view of the starter IBM Z® OMEGAMON® AI for CICS dashboard.

Figure 1. A summary view of the OMEGAMON AI for CICS dashboard

The starter dashboard provided contains the following graphs or tables:

Table 1. Graphs and tables in OMEGAMON AI for CICS space for hourly anomalies per Region for CPU Time metrics
KPI	Purpose
Header - System ID	Filter on System ID
Header - Region	Filter on Region Name
System ID - Top Over Consumer	LPAR most affected by anomalies
Region ID - Top Over Consumer	Region most affected by anomalies
[Hourly Anomalies] - Severity of anomalies	Distribution of anomalies by severity
[Hourly Anomalies] - Summary table	List of the pairs of System ID and Regions where anomalies are found, ordered by global severity: Over Consumption: sum of anomalies for a period Severity: Maximum severity of anomalies found within a specific period Count of records: Number of anomalies found within the specific period
[Hourly Anomalies] - Severity of anomalies over time	Time series KPI showing the severity distribution of filtered anomalies over a specific period
[Hourly Anomalies] - Detailed View	Time series KPI displaying: Hourly consumption for System ID and Region Consumption forecast interval Detected consumption anomalies
[Hourly Anomalies] - Activity - Transaction Count	Region activity, transaction rate correlated to consumption
Errors - Abends count	Number of abends usually related to anomalies
Resource Bottlenecks	Region CPU usage provisioning
Average Wait Times	Region CPU usage provisioning
Average Db2, ENQs and FC Times	Detailed times where delays can happen
Top 10 - Slow Responders	Top 10 region with low response time
Top 10 - High Consumers	Top 10 regions with high CPU Consumption

Table 2. Graphs and tables in OMEGAMON AI for CICS space for hourly anomalies per Region for Response Time metrics
KPI	Purpose
Header - System ID	Filter on System ID
Header - Region	Filter on Region Name
System ID - Top Slow Responder	LPAR most affected by anomalies
Region ID - Top Slow Responder	Region most affected by anomalies
[Hourly Anomalies] - Severity of anomalies	Distribution of anomalies by severity
[Hourly Anomalies] - Summary table	List of the pairs of System ID and Regions where anomalies are found, ordered by activity: Transaction count: sum of transactions for a period Average Response Time: Overall average response time for a period Active: Whether the region is deemed active or not Count of records: Number of anomalies found within the specific period
[Hourly Anomalies] - Severity of anomalies over time per activity	Time series KPI showing the severity distribution of filtered anomalies over a specific period
[Hourly Anomalies] - Detailed View	Time series KPI displaying: Hourly average response time for System ID and Region Response Time forecast interval Detected response time anomalies
[Hourly Anomalies] - Activity - Transaction Count	Region activity, transaction rate correlated to consumption
Errors - Abends count	Number of abends usually related to anomalies
Resource Bottlenecks	Region CPU usage provisioning
Average Wait Times	Region CPU usage provisioning
Average Db2, ENQs and FC Times	Detailed times where delays can happen
Top 10 - Slow Responders	Top 10 regions with low response time
Top 10 - High Consumers	Top 10 regions with high CPU Consumption