Resources

CICS Statistics data provides many metrics that provide insights into how the CICS Dispatcher is utilizing the many types of TCBs it uses to manage the execution of multiple units of work within regions

This video explores several metrics that provide visibility to help sites effectively utilize the CICS TCLASS construct to manage the mix of transactions in a region.

Automated assessments of key CICS Statistics Transaction and Enqueue metrics facilitate proactive analysis and prevention of outages by identifying areas that may warrant investigation.

Automated assessments of key CICS Statistics Storage metrics facilitate proactive analysis and prevention of outages by identifying areas that may warrant investigation.

For decades, the only way to read SMF data was to create your own SAS code that would generate output from SMF that could be understood. Technological innovations such as AI has made writing your own custom SAS code for SMF reports unnecessary for all but the most esoteric reports.

Customized Db2 Accounting dashboards can promote collaboration across teams, as well as serve as a springboard for additional analysis as the views are applied to other time intervals.

A sampling of several types of metrics available in the Db2 Accounting data viewed by plan such as rate of commits, number of rollbacks, volume of log data, volume of SQL statements by type, and more.

Avoiding database sync I/Os (achieved when getpages are satisfied from data already residing in a buffer) plays a prominent role in Db2 performance and efficiency.

Drilling into metrics at the plan (and package) levels which typically reflect alignment with business applications is often the preferred approach for detailed analysis of work coming from transaction managers like CICS and IMS.

Examples of the benefits of dynamic navigation through Db2 Accounting data applied to metrics such as (a) prefetch activity by type and (2) counts of suspension (“wait”) events.

Focusing analysis by authorization ID can be particularly helpful for insights into managing DDF work which is often challenging since it lacks many of the controls in place for other types of workloads.

The many timing buckets captured in the Db2 Accounting data enable great visibility into the elapsed time profiles of work executing within Db2.