Resources

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.

A survey of a sample customized dashboard where key Accounting data charts have been collected. These dashboards can promote collaboration across teams, as well as serving as a springboard for additional analysis as the views are applied to other time intervals.

A sampling of other types of metrics available in the Db2 Accounting data viewed by plan.

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. Dynamic navigation to explore those waits at the levels of detail made possible from the Accounting data can greatly aid analysis.

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. This is particularly powerful when combined with the capability to easily subset this data by criteria captured in these records including connection type, correlation ID, authorization ID, and plan and package name.